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1 Proceedings of 3 rd IIFT Conference on Empirical Issues in International Trade and Finance January 10 th – 11 th , 2013 Held at Science City, Kolkata Editors Triptendu Prakash Ghosh Bibek Roy Chaudhuri Indian Institute of Foreign Trade
Transcript

1

Proceedings of 3rd IIFT Conference on

Empirical Issues in International

Trade and Finance

January 10th – 11th, 2013

Held at Science City, Kolkata

Editors

Triptendu Prakash Ghosh

Bibek Roy Chaudhuri

Indian Institute of Foreign Trade

2

Contents Preface ................................................................................................................................................... 3

Section A: Trade and Development ...................................................................................................... 9

Section B: Application of Gravity Model ............................................................................................ 47

Section C: Theoretical Issues in Trade and Finance .......................................................................... 50

Section D: Firm Level Analysis of Trade ............................................................................................ 55

Section E: Performance of Banks and Global Financial Crisis ........................................................... 83

Section F: India’s Trade Performance ................................................................................................. 89

Section G: Foreign Investment ........................................................................................................... 93

Section H: Stock Market Returns in the International Context ........................................................ 95

Section I: Comparative Analysis between India and China ............................................................... 99

Section J: Trade Policy....................................................................................................................... 105

Section K: Impact of Microfinance on the Poor ............................................................................... 107

Section L: Testing Trade Theories .................................................................................................... 120

Section M: International Spillovers of Volatility, Vulnerability & FDI ........................................... 130

Section N: Foreign Direct Investment .............................................................................................. 139

Section O: Shorter Abstracts ............................................................................................................ 147

3

Preface

There has been a recent spurt on papers related to international trade and finance. The

renewed interest of researchers in this field is a direct consequence of the rapid process of

globalization of the world. While Globalization has increased the ease with which goods

money and people can travel across borders, it has also increased the complications of

such transactions as they have to account for inter country differences. The objective of

this conference is to bring scholars working in this field together so that they can

exchange notes and be fully aware of each other’s work.

We had received a large number of submissions for the conference. Out of them only 63

could be accommodated. Papers will be presented in five parallel sessions each of two

hours duration. Four papers will be presented in each session. A discussant has been

assigned to each paper. It is thus expected that the presenter will have about 20 minutes

to present the paper. The observations of the discussant and other participants will have

to be accommodated in 10 minutes. We sincerely hope that the authors and their

discussants will keep up the discussion even after the presentation formalities are over

and during the tea and lunch breaks.

In organizing this proceedings there are several options open to us. For instance the

papers could have been arranged thematically or sequentially according to their

presentation time. At the end none of these could be followed. This is mainly because we

have not received extended abstract for all the papers and publishing extended abstracts

along with shorter abstracts did not make much of a sense. We have lumped shorter

abstracts together at the end of the proceedings. The main part of the proceedings thus

consists of extended abstract. For the sake of completeness the reference list of original

papers have been appended to these extended abstract. Participants interested in the title

of the particular paper not only get a clear view of the content of the paper through the

extended abstract they will also be able to look at the related literature in the subject.

4

One of the main problems of such a large conference is that there are always last minute

changes in the programme. We have thus refrained from printing the programme along

with the proceedings. The programme schedule will be provided separately. The papers

reported here may not exactly match the papers actually presented as there might be last

minute drop outs. For a similar reasons the list of authors, chair persons and discussants

may not match with the ex post circumstances. However, we are confident that the

proceedings provide a clear, if not exact, representation of the papers to be presented in

the conference.

Triptendu Prakash Ghosh and

Bibek Roy Chaudhuri

5

List of Track Chairs

• Abhijit Das, Indian Institute of Foreign Trade, New Delhi

• Abhiroop Sarkar, Indian Statistical Institute, Kolkata.

• Ajitava Roy Chowdhury, Jadavpur University, Kolkata

• Alok Ray, Indian Institute of Management, Calcutta

• Amita Shah, Gujarat Institute of Development Research

• Amitava Bose, Indian Institute of Management, Calcutta

• Anup Kumar Sinha, Indian Institute of Management, Calcutta

• Arpita Dhar, Jadavpur University, Kolkata

• C. Veeramani, Indira Gandhi Institute of Development Research, Mumbai

• Julien Chaisse, (Chinese University of Hong Kong)

• Jyotsna Jalan, Centre for Studies in Social Sciences, Kolkata

• Lucian CERNAT, Chief Economist, DG Trade, European Commission

• Manas Ranjan Gupta, Indian Statistical Institute, Kolkata

• Rajat Acharyya, Jadavpur University, Kolkata

• Rakesh Mohan Joshi, Indian Institute of Foreign Trade, New Delhi

• Ravi Shanker, Indian Institute of Foreign Trade, New Delhi

• Sahid Ahmed, Jamia Millia Institute

• Saikat Sinha Roy, Jadavpur University, Kolkata

• Sarmila Banerjee, University of Calcutta, Kolkata

• Saumen Sikdar, Indian Institute of Management, Calcutta

• Suchat Katina, Mekong Institute, Thailand

• Sunitha Raju, Indian Institute of Foreign Trade, New Delhi

• Sushil Khanna, Indian Institute of Management, Calcutta

• Vijaya Katti, Indian Institute of Foreign Trade, New Delhi

6

List of Discussants

• Ambar Nath Ghosh, Jadavpur University, Kolkata

• Amit Kundu, Jadavpur University, Kolkata

• Ananda Pal, MBM, University of Calcutta

• Anil Kanungo, Indian Institute of Foreign Trade, New Delhi

• Anindita Sen, Burdwan University

• Anita Gupta Chattopadhyay, Muralidhar College for Girls, Kolkata

• Annesa Bandopadhyay, St. Xavier’s College, Kolkata

• Archana Srivastava, IIT Kanpur

• Arijita Dutta, University of Calcutta

• Arjun Kumar Singh, ICSSR&JNU

• Avijit Mondal, Moulana Azad College, Kolkata

• Bibek Ray Chaudhuri, Indian Institute of Foreign Trade, Kolkata

• Bidisha Chakraborty, Jadavpur University, Kolkata

• Bipradas Rit, Jogesh Chandra Chaudhuri College, Kolkata

• Byasdeb Dasgupta, Kalyani University

• Christopher Balding, HSBC Business School, Peking.

• Debashis Chakraborty, Indian Institute of Foreign Trade, New Delhi

• Diganta Mukherjee, ISI, Kolkata

• Gagari Chakraborty, Presidency University

• Jayanta Kumar Seal, Indian Institute of Foreign Trade, Kolkata

• Jayasri Acharyya, Lady Brabourne College, Kolkata

• Jaydeep Mukherjee, Indian Institute of Foreign Trade, New Delhi

• Joyjit Dhar, Hooghly Mohsin College, Kolkata

• Kausik Gupta, Rabindra Bharati University, Kolkata

• Kausik Lahiri, Surendranath College, Kolkata

• Kumarjit Mandal, University of Calcutta.

• Malabika Roy, Jadavpur University, Kolkata

• Michael Telda, IFPRI

7

• Mousumi Datta, Presidency University, Kolkata

• Nilanjan Sen, St. Xavier’s College, Kolkata

• P. K. Das, Indian Institute of Foreign Trade, Kolkata

• Partha Paul, Indian Institute of Management, Calcutta

• Partha Pratim Ghosh, St. Xavier’s College, Kolkata

• Polami Lahiri, Institute of Development Studies, Kolkata

• Pradyut Kumar Pyne, Indian Institute of Foreign Trade, Kolkata

• Pralok Gupta, Indian Institute of Foreign Trade, New Delhi

• Pranab Das, Centre for Studies in Social Sciences, Kolkata

• Priyanka Chakraborty, Indian Institute of Foreign Trade, Kolkata.

• Rabindranath Mukhopadhyaya, University of Calcutta

• Rahul Sen, AUT, Newzeland

• Ranjan Nag, St. Xavier’s College, Kolkata

• Riddhi Chatterjee, Seth Anandaram Jaipuria College, Kolkata

• Rilina Basu (Banerjee), St. Xavier’s College, Kolkata

• Saibal Kar, Centre for Studies in Social Science

• Samarjit Das, Indian Statistical Instutute, Kolkata

• Samrat Roy, St. Xavier’s College, Kolkata

• Sandeep Kaur, Punjab University

• Sanmitra Ghosh, Jadavpur University, Kolkata

• Sayantanbandhu Majumder, University of Calcutta, Kolkata

• Senjuti Jha, Institute of Development Studies, Kolkata

• Shirshendu Mukherjee, St. Paul’s Cathedral Mission College, Kolkata

• Subhanil Chowdhury, Institute of Development Studies, Kolkata

• Subhasree Bhattacharya, Dept. of Business Management, University of Calcutta

• Subrata Majumder, St. Xavier’s College, Kolkata

• Sudeshna Chattopadhyay, Bidhannagar College, Kolkata

• Sukanta Bhattacharyya, University of Calcutta.

• Suparna Basu, Ashutosh College, Kolkata

8

• Susmita Chatterjee, Globsyn Business School, Kolkata.

• Swapnendu Bannerjee, Jadavpur University, Kolkata

• Swati Ghosh, Rabindra Bharati University, Kolkata

• T P Ghosh, Indian Institute of Foreign Trade, Kolkata

• Tanmoyee Bannerjee, Jadavpur University, Kolkata

• Usri Sengupta, Jadavpur University, Kolkata

• Vivekananda Mukherjee, Jadavpur University, Kolkata

9

Section A: Trade and Development

Globalization, Inequality and Corruption

Harald Badinger* and Elisabeth Nindl@

Vienna University of Economics and Business, Department of Economics,

Althanstrasse 39-45, A-1090, Vienna, Austria * E-mail: [email protected] @ E-mail: [email protected]

Both the determinants of corruption (rent-seeking behavior) and its welfare

consequences have been subject to extensive theoretical and empirical research (e.g.,

Krueger, 1974; Murphy et al., 1993; Mauro, 1995; Bliss and Di Tella, 1997; Das and

DiRienzo, 2009; Bhattacharyya and Hodler, 2010), leading to a large body of literature on

the nexus between globalization, institutional quality, and corruption. It is widely agreed

that natural resource rents increase corruption, whereas ‘detection technologies’ (high

level of economic development, good institutions, competitive elections, political rights

and press freedom, education) decrease corruption.

Previous studies concentrated on the role of globalization as a determinant of

institutional quality and corruption. Ades and Di Tella (1999) emphasize the pro-

competitive effect of trade and find that imports and proximity to world’s major exporters

significantly reduce corruption, whereas fuel and mineral exports increase corruption.

Emerson (2006) shows that corruption significantly decreases the number of firms and

thus competition within a country. Corruption can be interpreted as a more general

indicator of institutional quality, reflecting a country’s underlying legal, economic,

cultural and political institutions (Svensson, 2005).

The analysis of the determinants of corruption is thus closely related to the literature on

democracy and institutional quality. This nexus allows us to apply the theoretical

argument by Acemoglu and Robinson (2005) relating institutional quality, globalization

and income inequality. They show that emergence and survival of democracy depend on

10

the distribution of income (factor prices). In a Heckscher-Ohlin framework with labor

abundant developing countries as a representative case, opening up to trade leads to an

increase in the wage-rental ratio. This reduces the income gap between factors and

thereby the risk of political conflict, since voters of lower income groups have less

demand for highly redistributive policies, making democracy less threatening to upper

income groups and the elite. A similar argument applies to financial openness, which

increases the elasticity of capital supply, leading to an inflow of capital. If the developing

country is land abundant, trade increases the income of land owners (typically a small

elite), inequality increases and democracy becomes less likely. Altogether, the effect of

globalization on democracy (and corruption) remains an empirical question.

López-Córdova and Meissner (2008), analyzing the determinants of democracy, provide

support for the close relation between international trade, natural resources and

institutional outcomes based on a sample spanning from 1870-1919, 1917-1939 and 1960-

2000. Using the same data set, empirical evidence on the positive effect of financial

integration on democracy is given by Eichengreen and Leblang (2008). However, none of

these studies have considered trade and financial openness simultaneously or explicitly

taken into account the role of inequality as a transmission channel. Against this

background, this paper makes following contributions: First, we use an encompassing

model that relates corruption to globalization in terms of both trade and financial

openness, paying particular attention to the potential endogeneity of our globalization

measures. Second, we explicitly consider the role of inequality as a determinant of

corruption and its interplay with globalization, allowing us to provide some evidence on

the transmission channels through which globalization affects corruption. Third, we use a

panel of 102 countries over the period 1995-2005, allowing us to increase the number of

observations, exploit time-variation in the data, and to control for region-specific effects.

In line with recent studies we find that a higher level of development, more education

and political rights, and a lack of natural resource rents reduce corruption. Globalization

(trade and financial openness) appears to play an important role in diminishing

corruption, particularly in developing countries. Accounting for the effect of inequality,

11

which itself increases corruption, the effect of globalization is halved, which provides

empirical support for the theoretical argument by Acemoglu and Robinson (2005) that

globalization affects democracy (and thereby, institutional quality and corruption)

through its negative effect on inequality.

Keywords: Globalization, inequality, corruption

JEL Codes: F1, F3, F4, O1

References

Ades, A. and Di Tella, R. (1999). ‘Rents, competition and corruption’, The American Economic Review 89(4),

982–993.

Aizenman, J. and Noy, I. (2009), ‘Endogenous financial and trade openness’, Review of Development

Economics, 13(2), 175–189.

Badinger, H. (2009), ‘Globalization, the output-inflation tradeoff and inflation’, European Economic Review

53, 888–907.

Baier, S. L. and Bergstrand, J. H. (2007). ‘Do free trade agreements actually increase members’ international

trade?’, Journal of International Economics, 71(1), 72–95.

Barbieri, K. and Keshk, O. (2012). ‘Correlates of war project trade data set codebook, version 3.0’,

http://correlatesofwar.org.

Bhattacharyya, S. and Hodler, R. (2010). ‘Natural resources, democracy and corruption’, European Economic

Review, (54), 608–621.

Bliss, C. and Di Tella, R. (1997). ‘Does competition kill corruption’, The Journal of Political Economy, 105(5),

1001–1023.

Das, J. and DiRienzo, C. (2009). ‘The nonlinear impact of globalization on corruption’, The International

Journal of Business and Finance Research, 3(2): 33–46.

Eichengreen, B. and Leblang, D. (2008). ‘Democracy and globalization’, Economics & Politics, 20(3): 289–

334.

Emerson, P. M. (2006). ‘Corruption, competition and democracy’, Journal of Development Economics, 81:

193–212.

Frankel, J. A. and Romer, D. (1999). ‘Does trade cause growth?’, The American Economic Review, 89(3): 379–

399.

Goldberg, P. K. and Pavcnik, N. (2007). ‘Distributional effects of globalization in developing countries’,

NBER Working Paper Series, (12885).

Guerin, S. S. (2006). ‘The role of geography in financial and economic integration: a comparative analysis of

foreign direct investment, trade and portfolio investment flows’, World Economy, 29(2), 189–209.

Krueger, A. O. (1974). ‘The political economy of the rent-seeking society’, The American Economic Review,

64(3): 291–303.

Lalountas, D. A., Manolas, G. A. and Vavouras, I. C. (2011). ‘Corruption, globalization and development:

How are these three phenomena related?’, Journal of Policy Modeling, 33, 636–648.

12

Lane, P. R. and Milesi-Ferretti, G. M. (2007). ‘The external wealth of nations mark ii: Revised and extended

estimates of foreign assets and liabilities, 1970-2004’, Journal of International Economics, 73, 223–

250.

Leite, C. and Weidmann, J. (1999). ‘Does mother nature corrupt? Natural resources, corruption and

economic growth’, IMF Working Paper, 99/85.

Levchenko, A. A. (2011). ‘International trade and institutional change’, NBER Working Paper Series, (17675).

López-Córdova, J. E. and Meissner, C. M. (2008). ‘The impact of international trade on democracy: A long-

run perspective’, World Politics, 60(4), 539–575.

Mauro, P. (1995). ‘Corruption and growth’, The Quarterly Journal of Economics, 110(3), 681–712.

Murphy, K. M., Shleifer, A. and Vishny, R. W. (1993). ‘Why is rent-seeking so costly to growth?’, The

American Economic Review, 83(2), 409–414.

Norris, P. (2009). Democracy time series data set release 3.0, Technical report, John F. Kennedy School of

Government.

Portes, R. and Rey, H. (2005). ‘The determinants of cross-border equity flows’, Journal of International

Economics, 65, 269–296.

Rock, M. T. (2009). ‘Corruption and democracy’, Journal of Development Studies, 45(1), 55–75.

Solt, F. (2012). ‘Standardizing the world income inequality database’. Social Science Quarterly, forthcoming.

Stock, J. H. and Yogo, M. (2005). Testing for weak instruments in linear IV regressions, in D. W. K. Andrews

and J. H. Stock, eds, ‘Identification and Inference for Econometric Models, Essays in Honor of

Thomas Rothenberg’, Cambridge University Press.

Svensson, J. (2005). ‘Eight questions about corruption’, Journal of Economic Perspectives, 19(3), 19.42.

13

Foreign Direct Investment, Exports and Economic Activity of India:

A Long term Empirical Analysis

Dr. R. Jayaraj* and Dr. Hiranmoy Roy@

Dept. of Economics and International Business, College of Management and Economics,

University of Petroleum & Energy Studies * E-mail: @ Email:

Over the past few decades, the emerging market countries especially India have become

the most favoured destinations for FDI and investor confidence in these countries has

soared and exports have grown much faster than GDP. India’s economic reforms of 1991

had generated strong attention in foreign investors and made India as one of the favourite

destinations for world FDI flows. In different studies, several factors appear to have

contributed to growth phenomenon including FDI. However, as of yet there have not

been many attempt to investigate the long run impact of FDI, real export on real

economic activity (real GDP) for India.

This paper aims to analyse long run relationship among FDI, exports and economic

activity in India. And this empirical study has applied VAR technique to examine the long

run effect of FDI inflow and real exports on real economic activity (Real GDP), the impact

of real GDP growth as the common factor that drives growth on other variables such as

exports and FDI and to assess the effect of foreign direct investment (FDI) in a host

country’s export performance (UNCTAD, 2002), since exports have been for a long time

viewed as FDI promotes exports of host countries by augmenting domestic capital for

exports, transfer of technology, higher productivity and new products for exports and

facilitating access to new and large foreign markets (Chakraborty and Basu, 1997). It is

proved widely that exports has positive impact on real GDP but not FDI. Conversely,

cheaper price of exported goods due to the low input cost and large number of consumers

in domestic market attract foreign investors in these countries. This study was done using

annual data for 40 observations from 1970 to 2009. Several econometric tools are used in

14

this study such as Unit Root tests, Lag length criteria, Co-integration tests, Granger

Causality and VAR (Vector Auto-regression).

The findings of the study reveal that there is a long-run relationship among GDP, exports

and FDI. But as per the results of VAR model, FDI did not have a significant impact on

GDP of India but, interestingly exports had a positive significant influence on GDP. It is

found that the GDP positively influenced by its own activity and exports. This study

suggests the policy makers to adopt stable and sensible measures to encourage inward

FDI especially in retail because it may have negative impact also. Labour reform

measures, improving infrastructure, non-discriminatory regulatory environment and

incentive based policies that are suggested to attract FDI. Consequently, these policies

and strategies that will lead to have better infrastructure, human resources, good

governance, business environment and overall economic growth.

Keywords: FDI, GDP, Exports, Cointegration, VAR, India

JEL Classification Code: F10, F14, F21, F43

References

Balasubramanyam, V.N., M. Salisu, and D. Sapsford. (1996). ‘FDI and Growth in EP and IS countries’, The

Economic Journal, 106, 92-105.

Blalock, Garrick, and Paul J. Gertler. (2008), ‘Welfare Gains from Foreign Direct Investment through

Technology Transfer to Local Supplier’, Journal of International Economics, 74(2): 402–421.

Blomström, M., and A. Kokko (1998). ‘Multinational Corporations and Spillovers’, Journal of Economic

Surveys, 12: 247-277.

Borenstein, Eduardo, J. D. Gregorio, and J. W. Lee (1998). ‘How does Foreign Direct Investment Affect

Economic growth?’, Journal of International Economics, 45, 115-135.

Charles A. and Y. C. Wong, (2002), ‘Trends in Global and Regional FDI Flows’, (Manuscript, International

Monetary Fund) and IMF Website (wwww.imf.org).

Choe, J. I. (2003). ‘Do Foreign Direct Investment and Gross Domestic Investment Promote Economic

Growth?’, Review of Development Economics, 7(1): 44 – 57.

De Mello (1999). ‘Foreign Direct Investment-Led Growth: Evidence from Time Series and Panel Data’,

Oxford Economic Papers, 51, 133-51.

Department of Industrial Policy & Promotion ministry of Commerce and Industry, Government of India,

2006

15

Frimpong, J. M., Oteng-Abayie, E. F. (2006). ‘Bivariate Causality Analysis between FDI Inflows and

Economic Growth in Ghana’, Proceedings, 3rd African Finance Journal Conference, ‘Research in

Development Finance for Africa’, 12th – 13th July, 2006, Ghana.

Girma and Wakelin (2001). ‘Regional Underdevelopment: Is FDI the Solution? A Semi-parametric analysis’,

University of Nottingham Research Paper Series, 2001/11.

Görg, Holger & Greenaway, David (2003). ‘Much Ado About Nothing? Do Domestic Firms Really Benefit

from Foreign Direct Investment?’, IZA Discussion Papers 944, Institute for the Study of Labor (IZA).

Hsiao, F. S. T. and Hsiao, M. C. W. (2006). ‘FDI, export and GDP in East and Southeast Asia: Panel data

versus time-series causality analysis’, Journal of Asian Economies, 17, 1082 – 1106.

Javorcik, Beata S. & Saggi, Kamal & Spatareanu, Mariana, (2004). ‘Does it matter where you come from?

vertical spillovers from foreign direct investment and the nationality of investors’, Policy Research

Working Paper Series, 3449, The World Bank.

Kishore S. (2000). ‘Liberalisation and Productivity Growth’, in S. B. Dahyia (ed.), The Current State of

Business Discipline, 2: 817-832. Spellbound Publishers.

Krugman, P. (2000). ‘Fire-Sale FDI: In Capital Flows and the Emerging Economies’, edited by Sebastian

Edwards. Chicago: The University of Chicago Press.

Larimo J. and Tahir R. (2004). ‘Understanding of the location strategies of the European firms in Asian

countries’, Journal of American Academy of Business, Cambridge 5:1-2, 102-109.

Liu, X. and C. Wang (2002). ‘Does foreign direct investment facilitate technological progress?’ Evidence

from Chinese industries’, Research Policy, 32,945-953

Ozturk, I. (2007). ‘Foreign Direct Investment – Growht Nexus: A Review of The Recent Literature’,

International Journal of Applied Econometrics and Quantitative Studies, Euro-American

Association of Economic Development, 4(2): 79-98

Ram, R., and K. H. Zhang (2002). ‘Foreign Direct Investment and Economic Growth: Evidence from Cross-

Country Data for the 1990’, Economic Development and Cultural Change, 51(1):205-15.

Roy J. and P. Banerjee (2007), ‘Attracting Investments from the Indian Diaspora: The Way Forward’, CII

Publication.

Singh, Lakhwinder (2007). ‘India’s Economic Growth and the Role of Foreign Direct Investment’, MPRA

Paper 6427, University Library of Munich, Germany.

Sridhar, V., and V. Prashad (2007). ‘Wal-Mart with Indian Characteristics’, Connecticut Law Review, 39

(4):1785-1803.

Srinivas S. (2008), ‘International Technology Transfer to India an Impedimenta & Impetuous’, W.P. No.

2008-01-07(www. iimahd.ernet.in).

Weinhold, D. and E. J. Reis (2001). ‘Model evaluation and causality testing in short panels: The case of

infrastructure provision and population growth in the Brazilian Amazon,’ Journal of Regional

Science, 41(4): 639-657.

Xiao, Wei (2008). ‘Increasing Returns and the Design of Interest Rate Rules’, Macroeconomic Dynamics,

Cambridge University Press, 12(01): 22-49.

16

Mastering a Two-edged Sword: Lessons from the Practice and

WTO Litigation on Safeguards

Julien Chaissea, Debashis Chakrabortyb, and Animesh Kumarc

a Chinese University of Hong Kong b Indian Institute of Foreign Trade

c

The objective of the WTO agreement is to promote international trade among member

countries in a mutually beneficial manner. However, the agreement also allows members

to restrict import under certain special circumstances, e.g., in case of a sudden surge in

imports, adoption of unfair trade practices by a trading partner etc. In that context, trade

remedial measures such as Anti-Dumping Agreement (ADA), Agreement on Subsidies

and Countervailing Measures (ASCM) and the Agreement on Safeguards (ASG) play

extremely crucial roles in ensuring free and fair trade. These provisions may be politically

necessary in order to undertake liberalisation in the first place but can also lead to

protectionist policies. This two-edged sword constantly runs the risk of being abused, as

producers seek excessive relief by taking recourse to such measures. While misuse of ADA

or ASCM has often received the focus of the scholars, ASG is a relatively less researched

area. Over the period, application of safeguard (SG) measures has evolved as a vital

component of the trading policy space of WTO members, especially the developing

countries. It is observed that during March 1995- April 2012, 234 instances of safeguard

initiations have been reported, while 118 final measures were imposed over this period.

While the number is lesser vis-a-vis the comparable AD and SCM cases, it is often argued

that SG actions can also be considerably trade distorting if applied in an unjustifiable

manner. While the literature on the ASG is quite rich, the analysis on the related

disputes, especially in terms of misuse of the ASG provisions is a relatively less researched

area. This paper intends to explore which of the existing ASG provisions are vulnerable to

potential misuse. The present study contributes to the literature by analyzing the SG-

related complaints lodged at the WTO dispute settlement body over the years. Since the

17

beginning of 2012, more than 20 measures have been notified to the WTO demonstrating

the acuity of the problem. The paper notes that the problems associated with the SG

mechanism may lead to a new wave of protectionism in coming days demonstrating how

much it is difficult to control the use of a two-edged sword such as SG. The current

analysis identifies the areas for further reform in the ASG in light of the results noted

from the analysis of the SG-disputes. It concludes that the international trade law needs

to strike a careful balance and define conditions for taking recourse to SG measures in

sufficiently precise terms.

References

Baldwin, Robert E. and Jeffrey W. Steagall (1994). ‘An Analysis of ITC Decision in Antidumping,

Countervailing Duty and Safeguard Cases,’ WeltwirtschaftlichesArchiv,130: 290-308.

Baracat, Elias and Julio J. Nogues (2005). ‘WTO Safeguards and Trade Liberalization: Lessons from the

Argentine Footwear Case’, World Bank Working Paper No. 3614, Washington DC.

Bown, Chad P. and Rachel McCulloch (2004). ‘The WTO Agreement on Safeguards: An Empirical Analysis

of Discriminatory Impact’, in Michael G. Plummer (ed.), Empirical Methods in International Trade.

Cheltenham UK: Edward Elgar, 2004, pp. 145-169.

Bronckers, Marco (2010). ‘Nondiscrimination in the World Trade Organization Safeguard Agreement: A

European Perspective’ in K. W. Bagwell, G. A. Bermann and P. C. Mavroidis (eds.), Law and

Economics of Contingent Protection in International Trade, Cambridge University Press, New York,

pp. 367-373.

Chaisse, Julien and Debashis Chakraborty (2007). ‘Implementing WTO Rules through Negotiations and

Sanction: The Role of Trade Policy Review Mechanism and Dispute Settlement System’, The

University of Pennsylvania Journal of International Economic Law, 28(1): 153-185.

Chakraborty, D., Chaisse, J. And Kumar. A. (2011). ‘Doha Round Negotiations on Subsidy and Countervailing

Measures: Potential Implications on Trade Flows in Fishery Sector’, Asian Journal of WTO &

International Health Law and Policy, 6(1): 201-234, 2011.

Chakraborty, Debashis, Raju, K.D. and Chaisse, J. (2008). ‘Anti-Dumping Measures in the Context of Global

Competition’, in J. Chaisse and T. Balmelli (Eds.), ‘Essays on the Future of the World Trade

Organization’, Volume 1, pp. 303-332, Editions InteruniversitairesSuisses, Geneva.

Chen, Lihuand Yun Gu (2001). ‘China’s Safeguard Measures Under the New WTO Framework’, Fordham

International Law Journal, 25(5): 1169-86.

Finger, J. Michael (1998). ‘GATT Experience with Safeguards: Making Economic and Political Sense out of

the Possibilities that the GATT Allows to Restrict Imports’, Policy Research Working Paper 2000,

Washington, DC: World Bank.

Grimmett, Jeanne J. (2011). ‘Chinese Tire Imports: Section 421 Safeguards and the World Trade Organization

(WTO)’, CRS Report for Congress, Washington DC: Congressional Research Service.

18

Kruger, Paul, Willemien Denner and JB Cronje (2009). ‘Comparing Safeguard Measures in Regional and

Bilateral Agreements’, ICTSD Programme on Agricultural Trade and Sustainable Development,

Issue Paper No. 22, Geneva: International Centre for Trade and Sustainable Development.

LEE Y.-S., Destabilization of the Discipline on Safeguards? Inherent Problems with the Continuing

Application of Article XIX after the Settlement of the Agreement on Safeguards, JWT 2001(6), 1235.

Lissel, Elenor (2011). ‘Regional Safeguard Measures: An Incentive to sign Regional Trade Agreements

without taking into consideration the special needs for Developing Countries’, dissertation entitled

‘Developing countries and emergency safeguard measures in world trade law’, Lund University.

Lodha, Ritu (2005). ‘US Steel Safeguard Dispute: Forged Protection brought to Light’, CUTS Trade Law Brief

No. 3, Jaipur.

Palmeter D., Safeguard, Anti-dumping, and Countervailing Duty Disputes in the Transatlantic Partnership:

How to Control ‘Contingency Protection’ More Effectively, in: PETERSMANN E.-U. / POLLACK M.A.

(eds.), Transatlantic Economic Disputes: The EU, the US, and the WTO, 2003, 141.

Raychaudhuri, Tilottama (2010). ‘The Unforeseen Developments Clause in Safeguards under the WTO:

Confusions in Compliance’, Estey Centre Journal of International Law and Trade Policy, 11(1): 302-

320.

Read, R. (2005). ‘The Political Economy of Trade Protection: The Determinants and Welfare Impact of the

2002 US Emergency Steel Safeguard Measures’, Lancaster University Management School Working

Paper No. 13, Lancaster.

Wolfe, Robert (2009). ‘The special safeguard fiasco in the WTO: The perils of inadequate analysis and

negotiation’, Grouped’EconomieMondiale Working Paper, Paris.

World Trade Organisation (2011). ‘Report (2011) of the Committee on Safeguards to the Council for Trade in

Goods’, Document No.G/L/972.

World Trade Organisation (2012). ‘Minutes of the Regular Meeting held on 27 April 2012’, Committee on

Safeguards, Document No. G/SG/M/41.

19

India’s Healthcare Sector under GATS: Inquiry into Backward and

Forward Linkages

Kaushik Lahiri* and Sarmila Banerjee@

* Surendra Nath College, Kolkata

E-mail: [email protected] @ University of Calcutta

There is no denying of the fact that healthcare sector of India has evolved over the years

and has attained new heights under the influence of globalization and GATS (General

Agreement on Trade in Services). With the opening up of service sector trade under the

purview of GATS subsequent to the WTO, India has extended trade to the health services

sector to find an advantageous position in terms of global connectivity with comparative

advantage in areas of IT-enabled services as well as health related services. With the

advancement in science and technology, revolutionary inroad of information and

communication technology based services, availability of skilled technicians and medical

and paramedical workforce along with enhanced support services through telemedicine

and mobile health services has elevated the Indian healthcare system to global standards.

The demand side witnessed growth with the rise of aware and relatively affluent class

resulting in a change in composition of demand for healthcare services which is expected

to have impact on the organization of the sector from provider’s perspective. The focus is

on the changing profile of the healthcare industry in India with the GATS negotiation

bringing into further changes in the composition of both supply and demand pattern by

allowing different forms of trade which are directly and indirectly linked with health

services.

Coupled with technological advances and global connectivity, domestic policies seem to

encourage increased private sector participation in this sector. India witnessed the

growth of large corporate healthcare and allied service providers in the recent past. Thus,

both backward and forward linkages of Health and medical services have undergone

significant change. While the forward linkage is expected to create more demand for

20

better healthcare services in the domestic market from the affording class and induce

growth of the health insurance sector, the backward linkage effects would create

possibilities of growth in clinical trials, pharmaceutical industry, telemedicine, tele-

radiology and other health related outsourcing services.

While the health sector in India was being primarily developed for the deserving

population as a source of merit good, the recent gain in efficiency in this sector has come

mostly through the channels of market mode meant for the affording population.

Progress towards more technology oriented public services would create internal drain of

resources, both financial and intellectual, within the sector, with possibility of leakage

from deserving to the affording population and changes in organizational set up of

providers’ profile. Moreover, with expansion of the healthcare market it is also leading

towards gradual conversion of a merit good [defined out of equity consideration] into a

market good [defined out of efficiency consideration] which calls for a more

comprehensive regulatory vigilance.

Since health care differs from other commodities in aspects of saving life and boosting

quality of life, it is a complex system that also involves information asymmetries that

generally affects the consumers (patients). Under this situation, influx of technology has

also created more opportunities for unethical practices resulted in creation of induced

demand in the healthcare market. Unreasonable use of equipments, use or introduction

of new medical technologies without assessment of their safety and efficacy are in wide

practice as found in literature and reports. In general, the large volume of out-of-pocket

expenses incurred by the patient parties in the private care market has increased the

opportunity of the providers (agents) to extort profit by recommending services beyond

the optimum level. Hence need for greater vigilance on the part of the regulator has

become the call of the day.

Key words: GATS, WTO, Input-Output Models, Health – General, Analysis of Healthcare

Markets

JEL Classification Code: F13, C67, I10, I11

21

References

Aron, R. (2009). ‘Globalized Healthcare: Driven by Technology’, Vol. 2, No. 1, Fall / Winter 2009, John

Hopkins / Carey Business School, available at

www.carey.jhu.edu/one/2009/fall/globalized-health-care-driven-by-technology accessed on

03.08.2012

Banerjee S. & Nag N. (1998). ‘India’s Health Sector: Regional Disparities in Provisioning, Utilization and

Achievement, in Regional Dimensions of the Indian Economy’, edited by Chatterjee, B and Sur, H,

Allied Publishers, India (1998).

Chanda R. (2010). ‘Constraints to Foreign Direct Investment in Indian Hospitals’, Journal of International

Commerce, Economics and Policy, 1 (2010), 121- 143, World Scientific Publishing Company

Chenery, B. and Watanabe, T. (1958). ‘International Comparisons of the Structure of Production’,

Econometrica, 26(4), 487-521

Deloitte (2009). ‘Survey of Health Care Consumers: Key Findings, Strategic Implications’, Deloitte Center for

Health Solutions, available at

http://www.deloitte.com/dtt/cda/doc/content/us_chs_2009SurveyHealthConsumers_March2009.p

df , accessed on 12.01.2012

Dholakia R H, Agarwalla A, Bazaz A B & Agarwal P (2009). ‘Trends in Technical Progress in India – An

Analysis of Input-Output Tables from 1968 to 2003’, W.P. No. 2009-11-02, Indian Institute of

Management, Ahmedabad, India available at

http://iimahd.iimahd.ernet.in/assets/snippets/workingpaperpdf/2009-11-02Dholakia.pdf accessed

on 02.07.2012

Gautam V ( 2008). ‘Healthcare Tourism – Opportunities for India’, Export-Import Bank of India, Quest

Publications, Mumbai, India

High Level Expert Group Report on Universal Health Coverage for India (2011), submitted to the Planning

Commission of India available at

www.planningcommission.nic.in/reports/genrep/rep_uhc0812.pdf

IBEF, Healthcare, various years, available at www.ibef.org accessed on 30.01.2012

IBEF Healthcare, 2009, available at

http://www.ibef.in/Archives/ViewArticles.aspx?art_id=25001&cat_id=95 accessed on 30.01.2012

IPS (2006), International Passenger Survey 2003, Final Report, Incredible India, Ministry of Tourism,

Government of India

ISRO (Indian Space Research Organisation), Telemedicine: Healing Touch through Space – Enabling

Speciality Healthcare to the Rural and Remote Population of India, available at

http://www.isro.org/publications/pdf/Telemedicine.pdf accessed on 27.04.2012 ISRO (Indian Space Research Organisation), available at

http://www.isro.org/scripts/telemedicine.aspx accessed on 26.04.2012 KFF (2007), How changes in medical technology affect health care cost, The Henry J. Kaiser Family

Foundation, available at

www.kff.org/insurance/snapshot/chcm030807oth.cfm accessed on 07.07.2012 Lahiri, K. (2012a). ‘FDI in India’s Healthcare Sector: an Assessment’, forthcoming, Kalyani University Journal

of Economics, 1(1)

Lahiri, K. (2012b). ‘Globalization and Trade in Services: The Changing Profile of India’s Healthcare Sector,

accepted for presentation in the Third National Seminar on Annual Survey of Industries, CSO,

Government of India

22

Mathur, A. (2004). ‘Design of Healthcare Trade: Role of Information Technology’, Economics and Political

Weekly, 39(20), 2036-2047

Mudur G (2004), ‘Inadequate regulations undermine India’s healthcare’, BMJ, January 17, 2004, 328

(7432):124 available at

www.ncbi.nlm.nih.gov/pmc/articles/PMC314535/ Ministry of Health and Family Welfare, GOI (2011), Annual Report to the People on Health, December 2011,

New Delhi

PWC ( Pricewaterhouse Coopers) (2007). ‘Healthcare in India: Emerging Market Report, available at http://www.pwc.com/en_GX/gx/healthcare/pdf/emergingmarket- report-hc-in-india.pdf accessed on 14.12.2012

Smith, R. D. (2004). ‘Foreign Direct Investment and Trade in Health Services: Review of Literature’, Social Science & Medicine, 59 (2004) 2313–2323, Elsevier, available at www.elsevier.com/locate/socscimed

Turner, L. (2007). ‘First World Health Care at Third World Prices: Globalization, Bioethics and Medical Tourism’, Bioethics, 2, 303-325, London School of Economics and Political Science, England

Smith R D, Chanda R, Tancharoensathien V (2009), ‘Trade in Health-related Services’, Lancet, 373( 9663),

593 – 601, 14 Feb, 2009, www.lancet.com WHO (2010a), Global Status Report on Noncommunicable Diseases, ISBN 978 92 4 068645 8 (PDF), Italy,

available at http://www.who.int/nmh/publications/ncd_report_full_en.pdf accessed on 12.11.2011

WHO (2010b), World Health Statistics 2010, available at

http://www.who.int/whosis/whostat/EN_WHS10_Full.pdf, accessed on 10.01.2012 Yip W and Mahal A (2008). ‘The HealthCare Systems of China And India: Performance and Future

Challenges’, HEALTH AFFAIRS, 27, Number, July/August 2008.

23

Doha Sectoral Negotiations: A Study on Healthcare Sector in India

Rajat Verma1, Murali Kallummal2, and Poornima Varma3

1 Guest Lecturer, Gargi College, University of Delhi 2 Associate Professor

Centre for WTO Studies Indian Institute of Foreign Trade, New delhi

3 Assistant professor Department of Policy Studies TERI University, New delhi

During the fourth ministerial meeting of WTO, which has launched in Qatar, Doha in

2001, the members agreed to initiate negotiations on all non-agricultural products.

Sectorla initiatives for elimination or harmonization of tariffs, on products of export

interest to developing countries, constituted one of the major components of these Non-

Agricultural Market Access (NAMA) negotiations. Out of various sectors, healthcare

sector assumes a special significance for India. Therefore, the present study attempts to

analyse the need for negotiations (if any) for India in the sector of healthcare products.

The analysis has been carried out by comparing India’s competitiveness with the other

major players in this sector. They are the US, Singapore, Switzerland and the Separate

Customs Territory of Taiwan, Penghu, Kinmen and Matsu, which have proposed 25

product categories (i.e. 25 products in the HS 4-digit nomenclature) in this sector for free

trade. Therefore, these countries are called as ‘the proponents’ of this sector. The present

study has made use of the calculations of growth rates and Revealed Comparative

Advantage (RCA) to analyse the trade potential for India. Both compound and annual

rate of growths show that India ranks second when compared to the proponents with an

average annual rate of growth of around 20%.

The RCA values have been computed both at aggregated level (comparing average RCA

across countries) and disaggregated level (comparing total number of products whose

RCA>1 across countries). Further to remove the extremities caused by average RCA (as

average are affected by extremes), we calculated median values of RCA >1 for USA, India

and Switzerland. Average RCA showed a declining trend for India and a value close to 1

24

hence implying that India is not very competitive in the proposed healthcare products.

On the contrary, disaggregated analysis of RCA showed a much clearer picture. Here, the

declining trend from 2005-2008 was not monotonic as seen before. Also, the median

values of RCA>1 showed that India gives tough competition to other proponents. This is

because its median value (of 6.657) was largest, for the year 2008, when compared with

the US and Switzerland. Thus showing that the degree of competitiveness for the product

having RCA>1, is highest when compared to the proponents, even though the number of

products for which India enjoys comparative advantage is less.

Thus the analysis based on RCA and the comparison of Indian scenario with respect to

the proponents in this sector revealed that India has comparative advantage and the

potential to emerge as one of the key players in this sector. However, this opportunity has

to be reaped judiciously by the Indian policy makers through an enhanced participation

in the sectoral negotiations. The possibilities to enhance the potential of some sectors -

such as organic chemicals, vehicles used in providing medical care and pharmaceutical

products such as antibiotics and other medicines – needs to be further explored as these

are the sectors that showed highest amounts of RCA in the analysis. Finally, there is a

need for looking into the trade implications of ‘remanufactured goods’, as they fall in the

ambit of the proposed products.

References

ASSOCHAM (2009). Financial Health of Indian Healthcare Industry, ASSOCHAM.

Banerjee, Ronojoy. (2011). ‘US, EU want WTO tariffs for remanufactured goods’, Financial Express. Viewed on 12th September, 2012 at http://financialexpress.com/news/us-eu-want-wto-tariffs-for-remanufactured-goods/732218/0

Batra, Amita and Khan, Zeba. (2005). ‘Revealed Comparative Advantage: An Analysis for India and China’, ICRIER, New Delhi.

Centre for WTO Studies (CWS) (2009). ‘Frequently Asked Questions: Non Agricultural Access’, CWS, New Delhi.

Chanda, R. and A. Mukherjee. (2008). ‘India-EU Relations in Health Services: Issue and Concerns in an India-EU Trade and Investment Agreement’, ICRIER, New Delhi.

Knowledge@Wharton (2012). Comparison Vs Cost: Improving the Prognosis for India’s Healthcare Sector’, Viewed on 9th

October 2010.

25

Hilary, J. (2005). The Doha Deindustrialisation Agenda: Non-Agricultural Market Access Negotiations at the WTO, War on Want, London.

IBEF (2010). Cost Comparison of Medical Services Procedure Cost (US$), Viewed on 14th June 2010,

http://www.ibef.org/artdispview.aspx?in=29&art_id=25821&cat_id=119&page=1 ICTSD (2010). WTO Industrial Goods Talks Inch Forward on NTBs, Viewed on 12th September 2012 at

http://ictsd.org/i/news/bridgesweekly/81253/ India Law Offices n.d., Indian Healthcare Sector, Viewed on 9th

June 2010, at http://www.indialawoffices.com

Lee, Christine. (2007). Medical Tourism, an innovative opportunity for entrepreneurs, Journal of Asia Entrepreneurship and Sustainability.

Mikik, M. & Gilbert, J. (2007). Trade statistic in policymaking, United Nations publication, Thailand. Prasad, C. B., Venkata Krishna n.d., Medical Tourism Industry – Advantage India, Conference on Global

Competition & Competitiveness of Indian Corporate. Pietrasik, T. (2009). Lessons from a frugal innovator, Economic Times. Price Waterhouse Coopers (PWC) (2007). Healthcare in India: Emerging Market Report 2007, PWC Sharma, D. n. d., Just a dose of Healthcare Statistics, Viewed on 9th

June 2010, at http://www.expresshealthcaremgmt.com/20040715/analysis01.shtml

Tharu, R. (2010). Union Budget 2010-11: Impact on Healthcare, Viewed on 10th June 2010, at http://www.medindia.net/news/indiaspecial/Union-Budget-201011-Impact-on-Health-Care-65647-1.htm

Unnikrishnan, C. H. (2010). Healthcare sector upset over neglect in Budget, Viewed on 10th June 2010, at http://www.livemint.com/2010/02/28212247/Healthcare-sector-upset-over-n.html

Utkulu, Utku and Seyme, Dilek (2004). ‘Revealed Comparative Advantage and Competitiveness: Evidence for Turkey vis-à-vis the EU/15, Viewed on 21st December 2010, at http://www.etsg.org/ETSG2004/Papers/Seymen.pdf

WTO (2008). Fourth Revision of Draft Modalities For Non-Agricultural Market Access, TN/MA/W/103/Rev.3

WTO n.d., Doha Development Agenda, Viewed on 10th March, 2010, http://www.wto.org/english/tratop_e/dda_e/dda_e.htm

26

Emigration Policies in India: Implications for Migration to the EU

Pralok Gupta

Assistant Professor Centre for WTO Studies,

Indian Institute of Foreign Trade, New Delhi E-mail: [email protected]

Emigration from India has expanded over the years not only in terms of number of people

emigrated but also the ways people have adopted to emigrate to overseas countries,

including irregular migration. The Indian emigrants (other than the white collar

workers) are fairly vulnerable to exploitation as they are generally ignorant of relevant

laws and procedures followed in India as well as in overseas countries. The high cost of

emigration as well as the policy of localization by the host countries further reduces the

emigrational benefits to such workers. Therefore, emigration policies of Indian

Government become very important not only in deciding the quantum of emigrants but

also the destination countries for such emigration.

As far as emigration destinations for Indians are concerned, the European Union (EU) is

increasingly becoming popular for many of the Indian emigrants in recent times. The UK

is the leading country inviting the largest number of Indian emigrants following by Italy,

Sweden, Germany, Denmark and Netherlands. However, many of the other EU countries

have invited only a small number of Indian emigrants even in recent times. An analysis of

immigrants by their occupation categories reveals that majority of these emigrants are

either skilled workers, seasonal workers or are involved in other remunerative activities.

Whereas for UK, immigration was mostly in highly skilled workers category and other

remunerated activities in 2009, for Italy, apart from other remunerated activities,

‘seasonal workers’ category is also important. ‘Researchers’ is not a very important

category for any of the EU countries.

The observed trend also suggests that the attraction of the EU as emigration destination

for Indians is both for skilled professions or white collar jobs and low skilled/unskilled

27

jobs. However, the inbound policies and programs in the EU countries are designed

mostly to attract skilled professionals from India. Low skilled workers emigrating from

India to the EU seem to be a neglected lot as far as policy orientations in these countries

are concerned.

In this context, the emigration policies and resultant focus of the Indian government

becomes very important to facilitate emigration from India to the EU. However, over the

years, most of the emigration policies in India had focused on migration to the Gulf

countries. The EU countries have not become a focus area for emigration policies so far in

spite of a growing trend of Indians migrating to the EU countries. This policy negligence

has resulted into two outcomes. First, it has reduced the size of the pie that could have

migrated to the EU countries in search of better job opportunities. Second, in the absence

of information and policy guidelines, Indians in the EU countries, especially low skilled

workers, have become more vulnerable to exploitation. A welcome step is that bilateral

social security agreements are being negotiated and signed by the Indian Government

with various EU countries to protect the interest of expatriate workers and the companies

on a reciprocal basis. However, these agreements are more helpful for skilled workers as

their recruitment and employment is properly documented whereas the low skilled

workers still remain vulnerable for exploitation. Therefore, it becomes important that the

Government of India makes EU specific policies as it had made in the case of Gulf

countries and the policies should also take into consideration the welfare and integration

of low skilled workers in these countries.

Key words: Emigration Policies, European Union (EU), White collar workers, Low skilled

workers

JEL Classification Code: F22, F66

References

Davis, K. (1951). ‘Population of India and Pakistan’, Princeton University Press, Princeton, New Jersey’

28

Desai, R. (1963). ‘Indian Immigrants in Britain’, Oxford University Press, London’

Dutta-Sachdeva, Sujata and B. Baruah (2001). ‘Westward Ho: Passport to a Better Life’, The Sunday Times of

India, January 14

Eurostat database http://epp.eurostat.ec.europa.eu/portal/page/portal/statistics/search_database

Jain, P. C. (1982). ‘Indians Abroad: A Current Population Estimate’, Economic and Political Weekly, Feb. 20:

299-304

Madhvan, M. C. (1985). ‘Indian Emigrants: Numbers, Characteristics, and Economic Impact’, Population and

Development Review, 11(3), September, 457-481

Ministry of Overseas Indian Affairs website http://moia.gov.in/, last accessed on November 18, 2011 Ministry of Statistics and Programme Implementation website

http://mospi.nic.in/Mospi_New/site/inner.aspx?status=3&menu_id=54, last accessed on November 18, 2011 Premi, M. K. and Mathur, M. D. (1995). ‘Emigration Dynamics: The Indian Context’, International

Migration. 33(1): 627-663 Sasikumar, S K and Husain, Z. (2008). ‘Managing International Labour Migration from India: Policies and

Perspectives’, ILO Asia-Pacific Working Paper Series, New Delhi Subramanian, R. (2001). ‘Relocation Blues’, The Sunday Times of India, January 14

29

Trade Constraints to the Exports of Marine Products in Tamil

Nadu-India

A.Venkateswaran

Assistant Professor Department of Commerce

Noorul Islam College of Arts & Science (Affiliated to Manonmaniam Sundaranar University)

Kumaracoil, Thuckalay, Kanyakumari - District Tamilnadu, India - 629 180.

Email: [email protected]

International trade has become far more significant in the world economy, and over the

past two decades world trade has grown faster than world output growth. However, over

the 1990s, the value of world trade has fluctuated substantially. The economic

environment for trade, specifically fish trade is changing in a remarkable way due to

changes in domestic policies as well as international trade arrangements. The marine

fishery sector has been playing an important role in international trade. Liberalization of

fish trade in the world has undergone remarkable change since the launching of World

Trade Organization in 1995. Seafood is high on the global trade agenda and has become

particularly relevant in the light of the entry of fisheries into the WTO process. There is a

steady growth and heavy demand for marine products all over the world. The problem of

the efficient international trade policies were undoubtedly never posed with as much

acuity for the developing countries, more particularly in India, than in the new context

generated by the phenomenon of globalization. The outcome of the multilateral trade

negotiations in the Doha Round and WTO regulations has large implications on

International Fish Trade. The marine fishing sector in India has seen major changes

during the last decade and these changes have an impact on the people working in

various sub sectors. Marine fisheries contribute significantly to the Indian economy by

way of foreign exchange earnings and employment generation to a large section of the

population in the coastal areas of the country. There are 0.99 million active fishermen

employed directly and 0.61 million employed indirectly with the marine fisheries sector.

30

In addition, it plays a major role in ensuring the food security of the nation through the

supply of cheap and affordable fish protein to a large majority of the population. The

fisheries sector plays an important role in Indian economy and its contribution to the

GDP is about one percent. The Indian fisheries sector has been witnessing a steady

growth since the First Five Year Plan. Indian marine fish production increased from 0.53

million tonnes in 1950-1951 to a maximum of 3.3 million tonnes in 2010-2011. Marine fish

production has shown a steady increase in TamilNadu from 1.23 lakh tones in 1960-1961 to

5.09 lakh tones in 2010-2011. Export earnings from marine sector have increased from

Rs.3.92 crores in 1961-1962 to Rs.12, 901.47 crores in 2010-2011 with 11.8 percent growth

during 2009-2010. Keeping in view the above point’s present study is a modest attempt to

analyze the trade constraints to the exports of marine products in the selected state of

Tamil Nadu, India. The present study is mainly empirical in nature based on the primary

and secondary data. The field survey was carried out from April 2009 to March 2010 for

the collection of primary data. Primary data were collected from 250 exporters by

administering them an interview schedule. This study has been undertaken in Tuticorin

sub regional office and Chennai regional office with 86 exporters and 164 exporters

respectively. The secondary data relating to the export of Indian marine products were

obtained for 40 years from 1970-1971 to 2009-2010. This has been analyzed by adopting

statistical tools, the ANOVA test, Multiple Regression Analysis, Factor Analysis, Growth

Rate Analysis, Co-efficient of Variation and Garret’s Ranking Technique. On the basis of

the findings of the survey, it is observed that the policy constraints often take the form of

Non-Tariff Measures (NTM). Fisheries subsidies greatly impact the sustainability of

fishery resources. India has taken a position that arbitrary as well as restrictive Sanitary

and Phyto-Sanitary (SPS) measures and HACCP standards continue to represent major

constraints to international trade of marine products. Indian fisheries cannot escape from

the stark reality of stiff competition emerging in the global scenario.

Key Words: Globalization, Anti dumping, Barriers, Duty Entitlement Pass Book, Policy,

Technical Barrier to Trade (TBT), World Trade Organization (WTO). Trade Constraints,

Growth.

31

References

Amutha D. (1998). ‘Socio Economic Conditions of Fishermen in Tuticorin’. Department of Economics,

St.Mary’s College, Tuticorin, p.12.

Nanjappa, A. (2005). The 4th Inception workshop for the Project strategies and preparedness for trade and

globalization in India with special reference to assessment of export capabilities of small fishermen

was held at Chennai on 6th October, 2005.

Ayyappan S. DDG (Fisheries, CAR) (2009). ‘An overview of Indian fisheries sector in the perspective of the

Eleventh Five Year Plan’, Proceedings of the National Conference of State Fisheries Ministers

Bhubaneswar. p 25.

Chari, (2006). ‘The development of marine products and export potential of Tamil Nadu’, PhD Thesis,

Madras University, Chennai, p 47.

Devadasan, (2003). ‘Value Added fish and fisheries products’, Project Report, Marine Fisheries College,

Calcutta, pp 82-83.

Elias, S. (2005). The 4th Inception workshop for the Project strategies and preparedness for trade and

globalization in India with special reference to assessment of export capabilities of small fishermen

was held at Chennai on 6th October, 2005.

Gnanadoss, (2007). ‘The operatives’ training and development of marine fisheries in Tamil Nadu’, Project Report, Madras Christian College, Chennai, p 24.

Karna V. K. (2011), Deputy Director of the Indian Institute of Packaging http://www.thehindubusinessline.com/2011/01/22/stories/2011012251152100.htm Kurian, (2010). ‘Problems of the fishing industry in Tamil Nadu’, Project Report, Centre for Development

Studies, Thruvanathapuram, 2010 pp 55 and 71. Kuruvila T. (2009). ‘Strategies and Preparedness for Trade and Globalisation in India’, The United Nations

Conference on Trade and Development (UNCTAD)-Government of India- DFID, Project. Mukherjee, (2004). ‘Perspective of fisheries and manpower development in India’, Dissertation, Agriculture

University, Bangalore, p 54 and 61. Murugan, (2000). ‘Status of Education, Employment and Health in Coastal Area of Thiruvananthapuram

Corporation’, Programme for Community Organization, Thiruvananthapuram, p.39. Nikita G., et al, (2007). ‘An analysis of the Exports of finfish from India - Technical Session 1X: Exports,

Trade and Globalization’, Fisheries and Aquaculture: Strategic Outlook for Asia, Book of Abstracts, 8th Asian Fisheries Forum, pp.231.

Praduman Kumar and Anil Kumar (2003). ‘The Food Safety Measures: Implications for Fisheries Sector in India’, Conference Proceedings, CMFRI, Calcutta, 2003, pp 33 and 36.

Ramachandra Bhatta, (2003). ’Impact of Globalization on the Marine Exports of India’, Dissertation, Fisheries College Mangalore, p 23.

Ramachandra B. (2005). UNCTAD DFID project on Strategy and Preparedness for Trade and Globalization in India (project) a Sector inception Workshop in the fisheries sector was organized in Goa.

Sathiadhas, R. (1996). ‘Production and Marketing of Marine Fisheries in India’, Central Marine Fishereies Research Institute, pp. 162 and 168.

Shyam Sallm and Ojha (2004). ‘Commodity diversification and geographic concentration of Indian seafood exports’, Project, Fisheries College, Mangalore, pp 47 and 48.

Srinath,(2003). ‘An Appraisal of the exploited Marine Fishery Resources of India’, Status of Exploited Marine Fishery Resources of India, Central Marine Fisheries Research Institute, Kochi, pp.1.

Statistical Hand Book, 2011, Animal Husbandry, Fisheries and Forest, Department of Economics and Statistics, Government of Tamil Nadu, pp 62-63. http://www.tnstat.gov.in/publications.html

Venkatesan V. (2009). ‘Strategies and Preparedness for Trade and Globalisation in India’, The United Nations Conference on Trade and Development –UNCTAD, (Project) Government of India- DFID.

32

International Trade and Income in India: An Examination of

Cointegration and Causality Behaviour

Amarjit Singh Sethi* and Jyoti Anand@

*Professor, @Research Fellow, Guru Nanak Dev University, Amritsar-143 005 E-mail: [email protected]

Revival of the complex problems of rapid economic growth in export-oriented economies

of East Asia has induced a renewed interest in empirical research on the export-led growth

hypothesis. There is an exigent need to examine whether India is one of those countries

which have undergone export-led growth or not. Consequently, an attempt was made in

the present paper to examine prevalence of long-run equilibrium and causal linkage

between aggregated GDP and trade variables (i.e., aggregated exports plus imports) in

India. The study would expectedly assist in providing an answer as to whether integration

of the Indian economy with the world economy (by way of opening up since 1991) has

been in the right direction or not.

The study was based on regular time-series information on 10 components of Aggregated

GDP, 32 components of Aggregated Exports and 28 components of Aggregated Imports,

compiled for 38 years’ period (1971-2008) from various official sources. Through splicing,

data on the study variables were obtained at 1999-2000 constant prices. Stationarity

properties of the variables were examined through Augmented Dickey-Fuller (1979), and

Phillips-Perron (1988) unit root tests. VAR-based cointegration methodology (due to

Johansen, 1988; and Johansen and Juselius, 1990) was employed to identify long-run

equilibrium relationship among the I(1) variables. And, causality behavior among GDP

and trade-related variables was examined through Granger’s approach as applied to VAR

in first differences.

As per the main findings, the first-differenced series (on log scale) in respect of certain

major components (such as IND, SRV, and AGG in case of GDP; PRM, MGE, PTR, and

AGE in case of exports; and BLK, NBL, and AGI in case of imports) could attain

stationarity and were, therefore, I(1). As per the subsequent analysis, the time-series on

33

these components of exports and imports, individually, did not bear any cointegration.

Nevertheless, different components of GDP (like LGDP & LIND, and LIND & LSRV) did

exhibit cointegration. Thus, production and productivity in, say, industrial sector needs

be increased which, in a self-propelling manner, would expectedly raise production/

productivity in the other sector(s) of the economy. At the aggregated level, we again were

unable to detect the presence of cointegration, thereby implying that in the Indian

context, long-run equilibrium relationship did not exist between GDP, exports and

imports.

As per the subsequent analysis, rate of growth in India’s GDP has strongly Granger caused

jointly the rates of growth in exports and imports. Similarly, the rate of growth in exports

has strongly Granger caused jointly the rates of growth in GDP and imports, thus pointing

towards bi-directional causality between rates of growth in GDP and exports. The

findings thus tend to validate both export-led growth and growth-led exports hypotheses.

Further, imports were also seen to have Granger caused both exports and GDP, but only

moderately. Thus, on the whole, Granger’s causality analysis has provided fairly strong

evidence in favour of growth-led openness, but weak evidence in favour of openness-led

growth hypothesis.

The findings are fairly consistent with the fundamental development policy changes in

1980s and the subsequent export-promotions and incentive policies that India has been

pursuing. It appears that export promotion policies of the last two decades have paid off.

And, since imports have Granger caused both exports and GDP (though mildly); therefore

the imports of capital goods could meet India’s requirements for her economic growth by

way of providing technology for export-oriented industries, thereby expanding volume of

exports. Thus, as a policy implication from the study, we need to switch over from

protectionist to free-trade policy regime with an increased degree of openness so as to

experience economic growth at a faster pace.

34

Keywords: International Trade, Growth-led Openness, Export-led Growth

Hypothesis, Unit Root, Stationarity, Vector Autoregression, Cointegration, Granger’s

and Instantaneous Causality

JEL Classification Code: F14, F43, C22, C32, P24

References

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Bahmai-Oskooee, M. and J. Alse (1993). ‘Export Growth and Economic Growth: An Application of Cointegration and Error-Correction Modeling’, The Journal of Developing Areas, 27 (3): 535-42.

Bento, J. P. (2011). ‘Energy Savings via Foreign Direct Investment? – Empirical Evidence from Portugal’, Maastricht School of Management, Working Paper No. 24.

Chandra, R. (2002). ‘Export Growth and Economic Growth: An Investigation of Causality in India’, The Indian Economic Journal, 49 (3): 64-73.

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Cuadros, A., V. Orts and M. Alguacil (2004). ‘Openness and Growth: Re-examining Foreign Direct Investment, Trade and Output Linkages in Latin America’, The Journal of Development Studies, 40 (4): 167-92.

Dhawan, U. and B. Biswal (1999). ‘Re‐examining Export‐Led Growth Hypothesis for India: Multivariate Cointgration Analysis’, Applied Economics, 31: 525‐30.

Dickey, D.A. and W.A. Fuller (1979). ‘Distribution of the Estimators for Autoregressive Time Series with a Unit Root’, Journal of the American Statistical Association, 74 (366): 427-31.

————————————— (1981). ‘Likelihood Ratio statistics for Autoregressive Time Series with a Unit Root’, Econometrica, 49(4): 1057-72.

Dobre, C. (2008). ‘The Relation between Openness to Trade and Economic Growth’. Economic Series No. 55 (EconPapers), CEEOL Annals of the Alexandru Ioan Cuza, University of Iasi.

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Engle, R.F. and C.W.J. Granger (1987). ‘Co-integration and Error Correction: Representation, Estimation, and Testing’, Econometrica, 55 (2): 251-76.

35

Federici, D. and D. Marconi (2002). ‘On Exports and Economic Growth: The Case of Italy’, Journal of International Trade and Economic Development, 11 (3): 323-40.

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36

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37

Migration, Trade & Development in South Asia: A Panel Data

Analysis

Sandeep Kaur Bhatia

Assistant Professor Central University of Punjab

Punjab, India E-mail: [email protected]

Migration has an important role for development as both are interlinked to each other

through remittances. Remittances are becoming the important source of development

particularly for developing economies. These remittances are also playing their major role

in reducing poverty, achieving stable financial system etc. Keeping in view of the

importance of remittances in developing world, this paper has studied the impact of

remittances on GDP, poverty reduction, investment, and openness of South Asian

countries (Bangladesh, India, Pakistan and Sri Lanka) through panel data model over the

period 1981-2010. It is clear that these countries are amongst top 10 countries and their

share in GDP is highest amongst other developing regions. The impact of remittances on

economic development of South Asian Countries is negative but statistically significant.

The impact of remittances on economic development has observed in indirect manner i.e.

on domestic investment and on human development. Its coefficient is positive and

significant suggesting important contribution of this variable towards economic

development as well as important channel of remittances. Therefore, the study suggested

that favourable investment climate through appropriate infrastructure should be

developed. The impact of remittances on poverty level depicts that the coefficient of

remittances as a percent of GDP is negative and significant presenting the contradictory

results of other studies. Remittances are not contributing to reduction in poverty level in

these counties. Even openness index is having positive and significant indicating trade

liberalization is not contributing towards reduction in poverty level. Though remittances

are considered as a tool of poverty reduction but the slow trickle down effects in these

countries may be the one of the reason of this negative relation. When inclusive growth is

38

spread out in these countries, it may be an important tool for poverty reduction as well as

the development of these countries. Migration should be encouraged from developing to

developed countries which will lead to the better development of the developing

economies like South Asian economies.

References

Adams, R and J. Page (2005). ‘Do International Migration and Remittances Reduce Poverty in Developing Countries?’, World Development, Vol. 33 (10): 1645-69.

Baltagi, B.H. (1995). Econometric Analysis of Panel Data, Chichester, Wiley, England. Banga R. and Sahu, P. K. Impact of Remittances on Poverty in Developing Countries. Campos R and Lardé de Palomo A (2002). ‘Invirtamos en Educación para Desafiar el Crecimiento

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Chimhowu, A. O., Piesse, J., & Pinder, C. (2005). The socioeconomic impact of remitances on poverty reduction. in S. M. Maimbo & D. Ratha (Eds.), Remittances: Development impact and future prospects. Washington: The World Bank.

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Evidence from Bangladesh, India and Sri Lanka.’ Discussion Paper 10.27, The University of Western Austrailia.

Singh S. K. and Hari K. S., (2011). ‘International Migration, Remittances and Its Macroeconomic Impact on Indian Economy.’ Indian Institute of Management, Ahmedabad .

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39

Nexus between Economic Growth & Services Export in the Indian

Context

Mousumi Bhattacharya* and Sharad Nath Bhattacharya@

Army Institute of Management, Judges Court Road,

Alipore, Kolkata, India * Email: [email protected]

@ Email: [email protected]

The services sector covers a wide range of activities ranging from the most complicated

and sophisticated information technology services to the simple and easy services

provided by the unorganized sector like carpenter and barber. The services export

comprises of commercial services categorized under travel, transportation, insurance,

miscellaneous services, and government services, not included elsewhere (GNIE). Along

with the services-dominated growth, India is gradually moving towards services led

export growth phenomenon. In this paper an attempt is made to e

xamine the possible co-integration and direction of causality, if any between services

export (travel, transportation, insurance, G.n.i.e and miscellaneous) and economic

growth in a VAR framework for the period 1996-97:Q1 –2009-10:Q2. Gross Domestic

product is taken as a proxy for economic growth. Quarter wise data of GDP and services

export like travel (TRAVEL), transportation (TRANS), insurance (INS), government

services, not included elsewhere (GNIE) and miscellaneous (MISC) is collected from

various publications of the Reserve Bank of India (RBI). After checking the stationarity of

the variables, co-integration test and Granger causality test is conducted in multivariate

VAR framework at VECM form. The stationarity test reveals that all the variables are I(1).

The cointegration test reveals that there is a long-run relationship among the variables

considered for the study. The results of the Granger causality test reveal that bidirectional

causality is observed between travel services export and economic growth in both short

and long run. Unidirectional causality is observed from transport services export, GNIE

and miscellaneous services export to economic growth in both short and long run.

40

Moreover unidirectional causality is observed from transport services export, GNIE and

miscellaneous services export to travel services export in both short and long run. Only

short run unidirectional causality is observed from insurance services export to GNIE and

from GNIE to miscellaneous services export. The results reveal that most of the services’

sub-sectors export like travel, transport, GNIE and miscellaneous causes economic

growth. It is also observed that economic growth causes travel services export. Impulse

response analysis is done at the first difference of the variables. The results of the impulse

response functions are consistent with the t-statistics for differences of the variables in

estimated co-efficients. The service sector being the major FDI attracting sector is an

uncharted sea with plenty of opportunities and new challenges. This sector is a net

foreign exchange earner with the exports of some services growing geometrically. IT- ITeS

sector is the major driving force behind the growth of the services sector and thus

contributing substantially to increase in GDP, employment and exports. The challenge

lies in making inroad into globally traded services in still niche areas for India, such as

financial services, health care, education, accountancy and other business services where

India has a large domestic market and has also shown recent signs of making a dent in

the international market, but only a small part of the full potential has been tapped.

Keywords: Services export, GDP, Impulse response Analysis

JEL Classification Code: O1, F14, F19

References

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Blinder, A. S. (2006). ‘Offshoring: The Next Industrial Revolution?’, Foreign Affairs, 85(2): 113-28. Broadberry, S. and Gupta, B. (2008). ‘Historical Roots of India‘s Service-led Development: A Sectoral

Analysis of Anglo-Indian Productivity Differences, 1870-2000’, Warwick Economic Research Papers. Brown, D.K., Deardorff, A.V. and Stern, R.M. (2003). ‘Multilateral, regional and bilateral trade policy

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unit root’, Journal of American Statistical Association, 74(366): 427-431.

41

Eichengreen, B. and Gupta, P. (2009). ‘Two Waves of Services Growth’, NBER Working Paper No. 14968. Eichengreen, B. and Gupta, P. (2010). ‘The Service Sector as India‘s Road to Economic Growth?’,

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Government, Harvard University, Cambridge. Johansen, S. (1988). ‘Statistical Analysis of Co-integrating Vectors’, Journal of Economic Dynamics and

Control, 12(6): 231-254. Johansen, S. and Juselius, K. (1990). ‘Maximum Likelihood Estimation and Inference on Co-integration with

Application to the Demand for Money’, Oxford Bulletin of Economics and Statistics, 52(2): 169-210. King, R. and Levine, R. (1993). ‘Finance and Growth: Schumpeter Might be Right’, Quarterly Journal of

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Development: What Happened, What Follows?’, Journal of Monetary Economics, 53(5): 981-1019. Lall, S., Weiss, J. and Zhang, J. (2005). ‘The Sophistication’ of Exports: A New Measure of Product

Characteristics’, Queen Elizabeth House Working Paper Number 123, Oxford University. MacKinnon, J.G., Haug, A. A. and Michelis, L. (1999). ‘Numerical Distribution Functions of Likelihood Ratio

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Mattoo, A., Rathindran, R. and Subramanian, A. (2006). ‘Measuring Services Trade Liberalization and its Impact on Economic Growth: An Illustration’, Journal of Economic Integration, 21(1): 64-98.

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42

Traditional & Emerging Services Exports: A Panel Analysis

Deeparghya Mukherjee

Doctoral Candidate Economics and Social Sciences

Indian Institute of Management, Bangalore E-mail:

International Trade in Services has grown in importance over the last few decades. The

share of services in global output, trade, and investment flows has grown steadily in the

wake of an increasingly liberalised world order. Technological breakthroughs mainly in

the IT and IT-enabled services (IT-eS) sector have made it possible to fragment

production processes, thus enabling increased tradability of services. The world has

thereby seen phenomenal increases in growth rates of non-traditional or modern

services2 such as finance, Information and Communications Technology (ICT) and Other

Business Services (OBS). This paper is an exploratory study in identifying the

macroeconomic factors that have driven the growth of different traditional and non-

traditional services exports across a panel of developed and emerging economies that

comprise of around 60% of world services exports consistently over the sample period

1991-2009. The primary data sources for the study are UNCTAD and the World Bank

databank. The categories of services exports studied are: (1) Travel, (2) Transportation, (3)

Computer and Information, (4) Finance and (5) Other Business Services. Through the

analysis of data and the estimation results, the paper infers in favour of differences in

factors that affect traditional services exports, i.e., Travel and Transportation vis-à-vis the

non-traditional (modern) services export categories, i.e., Finance, ICT and OBS.

Additionally, differences in growth trends of OECD and Non-OECD countries in the

sample are examined. While the growth rate of merchandise exports is the primary driver

of traditional services exports growth, modern services are driven mostly by factors

related to IT infrastructure and economic wellbeing. IT services exports growth in

particular is found to be insulated from fluctuations in merchandise exports growth and

GDP growth. This is not true for the other categories of services exports. The real effective

43

exchange rate affects the traditional services exports but has no significant impact on the

trends of modern services. The trends of IT services exports vary significantly across

OECD and Non-OECD countries for the sample period. The 2009 financial crisis is the

only major economic event that has adversely affected the growth trends of all the

categories of services exports. Greater volatility in services exports trends for the Non-

OECD countries in the sample, especially in response to economic crises, along with

faster recovery for non-traditional services exports in the case of Non-OECD countries is

noteworthy.

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47

Section B: Application of Gravity Model

A Gravity Model Analysis of Actual and Potential Export Services of

USA with its Asian Partners

Sandeep Kaur Bhatia

Assistant Professor, Centre for South and Central Asian Studies,

Central University of Punjab, Bathinda 151001, India.

E-mail: [email protected]

International trade in services has been increasing rapidly. It has now accounted for

twenty per cent of globe trade despite the increasing importance of services trade in

global economy; there has been limited research on service trade which uses

determinants driving such trade. Despite the increasing importance of services trade in

global economy, there has been limited research on service trade which uses

determinants driving such trade. As USA is amongst the topper economies in service

trade and Asian economies are growing in service trade. Therefore the present study

analyses the determinants of USA’s services export potential with its Asian partners

(Japan, China, India, Singapore, South Korea and Hong Kong) for the period 2000-2008

during panel data methodology by taking into account geographic, economic and other

features. The approach is based on gravity model, widely used to analyze trade in good s

and has more recently been applied to service sector. Being a nature of study is of panel

data i.e. for 9 years (2000-2008) and six cross sections, the study used panel data

methodology. The results shows that with increase of GDP of USA and also of its Asian

partners, export in services of USA to these economies will increase .one country will

trade more with another if it is close from its alternative trading partners as Asian

countries and USA will be closer in income level, the trade will also be increased in

between them. The importing country’s corruption increases, the exporter increases the

services. This may be due to easy trading of services. For India and Japan ,USA had

export potential with these nations where for China and Singapore USA has exceeded its

48

export potential with these nations.USA had convergence in exports with three Asian

countries (Hong Kong, India and Korea) and divergence with three Asian countries

(Japan, China and Singapore). There is a large scope for export expansion for Hong Kong,

India and Korea. As these economies especially India is one of the growing economies, if

USA’s export of services increase, its growth would be stable.

Key Words: Services, International Trade, Gravity Models

JEL Classification Code: F13, F15, F17, L80

References

Anderson, J. and E. V. Wincoop (2003). ‘Gravity with Gravitas: A Solution to the Border Puzzle’, American

Economic Review, 93(1), 170-192.

Arnold, J., B. S. Javorcik and A. Mattoo (2006). ‘The Productivity Effects of Services Liberalization: Evidence

from the Czech Republic’ World Bank Working Paper

Baltagi, B.H. (1995). Econometric Analysis of Panel Data, Chichester, Wiley, England.

Batra, Amita (2004). ‘India’s Global Trade Potential: The Gravity Model Approach?’ ICRIER Working Paper,

No. 151, Indian Council for Research as International–Economic Relations

Brandicourt, V., Schwellnus, C., and Wörz, J. (2008). ‘Austria’s Potential for Trade in Services’ FIW Research

Report No 002, June 2008.

Christie, E (2002). ‘Potential Trade in South East Europ e: A Gravity Model Approach’, Working Paper,The

Vienna Institute For International Economic Studies –WIIW

Di Mauro (2000). ‘The Impact of Economic Integration on FDI and Exports: A Gravity Approach’, CEPS

Working Document No. 156

Egger, P. (2000). ‘A Note on the Proper Econometric Specification of the Gravity Model’, Economics Letters

66 (1), pp. 25-31

Field, A., Sosa, L., and Wu, X., (2006). ‘Impacts of Endogenous Bribes on Foreign Direct Investment’,

Manuscript, Department of Economics, University of North Carolina, Chapel Hill.

Francois, J., B. Hoekman and J. Woerz (2007). ‘Does Gravity Apply to Intangibles? Measuring Barriers to

Trade in Services’, Paper presented at the CEPII-OECD Workshop Recent Developments in

International Trade in Services, Paris, November.

Grünfeld, L. A and Moxnes,A(2003). ‘The Intangible Globalization: Explaining the Patterns of International

Trade in Services’, Norwegian Institute of International Affairs, No. 657.

Gujrati, D.N. (2003). Basic Econometrics, McGraw Hill, Higher Education, New York.

Jakab, Z.M., M.A. Kovacas and K.A. Oszlay (2001). ‘How Far has Trade Integration Advanced? An Analysis of

Actual and Potential Trade of Three Central and Eastern European Countries’, Journal of

Comparative Economics, 29, 276-292.

Kimura, F and Lee, H. H, (2004). ‘The Gravity Equation in International Trade in Services’, paper presented

at European Trade Study Group Conference, University of Nottingham

Matyas, L., L. Kenya and M.N. Harris (2000). ‘Modelling Export Activity in a Multicountry Economic Area:

The APEC Case’, Monash Econometrics and Business Statistics Working Paper: 1/97.

Verbeek, M. (2004), A Guide to Modern Econometrics, second edition, Chichester, Wiley.

49

Zhang J. and G. Kristensen (1995). ‘A Gravity Model with Variable Coefficients: The EEC Trade with Third

Countries’, Geographical Analysis, 27, 307-20.

50

Section C: Theoretical Issues in Trade and Finance

Multi-market Collusion with Territorial Allocation

Aditya Bhattacharjea* and Uday Bhanu Sinha@

Delhi School of Economics * E-mail: [email protected] @ E-mail: [email protected]

Since the 1990s, there has been a dramatic increase in the prosecution of cartels by

American and European antitrust/competition agencies. Many of these cartels have

involved firms from more than one country, and many of these have been charged with

dividing up international markets on the basis of territorial allocation. Typically, firms

have reciprocally agreed to stay out of each other’s home markets as well as other markets

traditionally served by their rivals, respecting each other’s ‘spheres of influence’. The first

such major cartel case involved two European chemical giants, Britain’s Imperial

Chemical Industries (ICI) and Belgium’s Solvay. They had maintained a long-standing

agreement after the Second World War, whereby Solvay was to sell soda ash almost

exclusively in continental Europe, and ICI in the British Commonwealth and the rest of

Asia, Africa and South America. In 1994, the European Commission fined 42 cement

producers for (among other infringements) agreeing not to enter each other’s home

markets. Similarly, in the choline chloride (vitamin B4) cartel, three manufacturers in

North America reached an agreement with their three European rivals to withdraw from

each other’s home markets, and to share the Latin American and Asian markets. A recent

study of 81 international cartels detected by European and American competition

agencies between 1980 and 2007 found that eighty per cent of them allocated territories

or specific customers to their members

Against this backdrop of actual observations, we provide a theory of cartel based on

territorial allocation. We consider a standard super game model of collusion between

price-setting oligopolists located in different markets separated by trade costs. The firms

51

produce homogenous goods at constant marginal costs and try to sustain collusion based

on territorial allocation of markets using grim trigger strategy. We first prove that

assuming one firm in each market a decrease in trade costs may promote collusion, a

result that we call the trade cost paradox. Under grim trigger strategies the collusion is

sustained for all discount factors above a critical level. The reason for the trade cost

paradox stems from the fact that a decrease in trade cost does not make any difference on

the collusive path of the game; however, it reduces the payoffs of the firms on

punishment path leading to lowering of the critical discount factor.

We also prove a new paradox with interesting policy implications. We show that the

scope for collusion is enhanced by an increase in number of firms under some parameter

configurations (the competition paradox). The reason for such a situation is that presence

of more than one firm in each country although lead to sharing of collusive profits in the

home market but it changes the outcome along the punishment path as well due to

Bertrand competition there. As a result, on the balance from one firm in each country

symmetric or asymmetric increase in the number of firms might lead to a decrease in the

critical discount factor leading to extra scope for collusion with more firms. Several of our

results conform to the real-world cartel cases, but have not figured in the existing

theoretical literature so far.

The common element of these two paradoxes is that pro-competitive changes in the

economic environment might actually promote collusion. This runs counter to the

conventional wisdom in economic thinking. We also revisit some standard policies in the

light of our findings. While the first paradox shows that trade liberalization is not

necessarily a substitute for antitrust/competition policy, the competition paradox has

some more subtle and unsettling implications for standard antitrust practices. In

particular, we show that the wrong industries may be investigated for cartelization, and

that potentially harmless or even beneficial mergers may be disallowed.

52

References

Abreu, D. (1986). ‘Extremal Equilibria of Oligopolistic Supergames’, Journal of Economic Theory, 39: 191-225.

Akinbosoye, O., E.W. Bond and C. Syropoulos (2012). ‘On the Stability of Multimarket Collusion in Price-

setting Supergames’, International Journal of Industrial Organization, 30: 253-264.

Bernheim, D. and M. Whinston (1990). ‘Multimarket Contact and Collusive Behavior’, Rand Journal of

Economics, 21(1): 1-26.

Bolotova, Y.V. (2009). ‘Cartel Overcharges: An Empirical Analysis’, Journal of Economic Behavior and

Organization, 70: 321–341.

Bond, E.W. and C. Syropoulos (2008). ‘Trade Costs and Multimarket Collusion’, RAND Journal of

Economics, 39(4): 1080-1104.

Bond, E.W. and C. Syropoulos (2012). ‘Economic Integration and the Sustainability of Mutimarket

Collusion’, Economics Letters, 117: 42-44.

Choi, J.P. and H. Gerlach (2012). ‘International Antitrust Enforcement and Multimarket Contact’,

International Economic Review, 53(2): 635-657.

Colombo, L. and P. Labrecciosa (2007). ‘Sustaining Collusion under Economic Integration’, Review of

International Economics, 15(5): 905–915.

Connor, J.M. (2007), ‘Global Price Fixing’, Berlin and Heidelberg: Springer-Verlag.

Davidson (1984). ‘Cartel Stability and Tariff Policy’, Journal of International Economics, 17: 219-37.

Davies, S., M. Olczak and H. Coles (2011). ‘Tacit Collusion, Firm Asymmetries and Numbers: Evidence from

EC merger cases’, International Journal of Industrial Organization. 29: 221-31.

De, O. (2011). ‘The Internal Structures and Organisation of EC Prosecuted Cartels and the Impact on their

Performance’, PhD dissertation, University of East Anglia

Gross, J. and W.L. Holahan (2003). ‘Credible Collusion in Spatially Separated Markets’, International

Economic Review, 44(1): 299-311.

Harrington, J.E. (2006). ‘How Do Cartels Operate?’, Foundations and Trends in Microeconomics, 2(1): 1–105.

Levenstein, M. and V.Y. Suslow (2011). ‘Breaking Up is Hard to Do: Determinants of Cartel Duration’,

Journal of Law and Economics, 54(2): 455-492

Lommerud, K.E. and L. Sørgard (2001). ‘Trade Liberalization and Cartel Stability’, Review of International

Economics, 9(2): 343-55.

Markusen, J.R. and A.J Venables (1988). ‘Trade Policy with Increasing Returns and Imperfect Competition:

Contradictory Results from Competing Assumptions’, Journal of International Economics, 24(3-4):

299-316.

Miklos-Thal, J. (2011). ‘Optimal Collusion under Cost Asymmetry’, Economic Theory, 46: 99-125.

Notz, William (1920). ‘International Private Agreements in the Form of Cartels, Syndicates, and other

Combinations’, Journal of Political Economy, 28(8): 658-679.

Pinto, B. (1986). ‘Repeated Games and the ‘Reciprocal Dumping’ Model of Trade’, Journal of International

Economics, 20: 357-66.

Rotemberg, J.J. and G. Saloner (1989). ‘Tariffs vs Quotas with Implicit Collusion’, Canadian Journal of

Economics, 22(2): 237-44.

Scherer, F.M. (1994). ‘Competition Policies for an Integrated World Economy’, Washington, D.C.: Brookings

Institution.

Schröder, Philipp J. H. (2007). ‘Cartel Stability and Economic Integration’, Review of International

Economics, 15(2), 313–320.

Suslow, V.Y. (2005). ‘Cartel Contract Duration: Empirical Evidence from Inter-war International Cartels’,

Industrial and Corporate Change, 14: 705-44.

53

Macro Economic Adjustments under a Crisis Situation

Susmita Chatterjee* and Debabrata Datta@

* Globsyn Business School, Kolkata E-mail:

@ Institute of Management and Technology, Gaziabad E-mail:

The paper looks first in a static framework the working of an open economy under a

situation of price flexibility. This extends the Mundell - Fleming model and shows the

effect of exchange rate movement in a richer perspective. Instead of considering a two

variable macroeconomic system like Mundell - Fleming model, the paper considers two

five variables models, one with fixed exchange rate and another with flexible exchange

rate. The model with fixed exchange rate but with endogenous money supply opens up

the possibility of considering exchange rate as a policy parameter in a comparative static

analysis. On the other hand, the other model that considers endogenous exchange rate

but exogenous money supply is used to show the effect of monetary policy. In both these

models, the paper introduces the role of depreciation of domestic currency in increasing

cost of production by increase in the cost of imported inputs. The model shows that

consideration of this element can explain the emergence of economic crisis in a country,

dependent on critical imported input and also suffering from current account deficit.

The paper also introduces a simple dynamic framework to highlight the saddle point

stability of the macroeconomic system. This model considers two scenarios – one with

fixed price but variable output and the other with fixed output but with variable price.

The saddle point stability opens up possibility of crisis, when exchange rate is the jump

variable and output or price is the sluggish variable.

The paper also looks at a few stylized facts about the East Asian economic crisis in order

to show the applicability of the model in the real economies. The lessons learnt from the

experiences of East Asian countries shows that if the outstanding external loan of an

economy and the current account deficit as a percentage of GDP is large, the chance of

54

economic crisis is extremely high. The paper shows that current state of Indian economy

is exhibiting some characteristics that resemble the features of a crisis – prone economy.

India’s current account deficit is quite high and as a result amount of external debt is

rising. In these circumstances, the policy makers should introduce some drastic measures

with all earnestness to set right the situation.

Key Words: Economic crisis, devaluation, external debt, macroeconomic dynamics.

JEL Classification Code: F41, E32

References:

Jose Brandao de Brito (1999). ‘The Anatomy of the East Asian Crisis : An Alternative Model of Currency

Crisis’, Birmingham : Univ., Dept. of Economics, Discussion paper,99,16

Barbone, Luca, and Francisco Rivera-Batiz (1987). ‘Foreign Capital and the Contractionary Impact of

Currency Devaluation, with an Application to Jamaica’, Journal of Development Economics, 26(1), 1-

15

Dornbusch, Rudiger (1987). ‘Collapsing Exchange Rate Regimes’, Journal of. Development Economics, 27, 71-

83

Mariassunta Giannetti (2004). ‘Old and Modern Currency Crises: Short-Term Liabilities, Speculative

Attacks and Business Cycles’, Econometric Society 2004 North American Summer Meetings 133,

Econometric Society.

Mihir Rakshit(2002). ‘The East Asian Currency Crisis’, Oxford University Press, 2002

Krugman, P., Taylor, L.(1978). ‘Contractionary effects of devaluation’, Journal of International Economics, 8,

445–456.

Krugman, P. (1979). ‘A model of balance of payments crises’, Journal of Money, Credit, and Banking 11: 311-325

Krugman, P. (1996). ‘Are currency crises self-fulfilling?’, NBER Macroeconomics.

Krugman, P. (1996). ‘Will Asia bounce back?’ (speech for Credit Suisse First Boston, Hong Kong, March

1998)

Krugman, P. (1998). ‘What happened to Asia?’, (http://web.mit.edu)

Obstfeld, M. (1994). ’The logic of currency crises’, Cahiers Economiques et Monetaires 43:189-213

Stiglitz (2002). ‘Globalization and its discontents’, W.W Norton.

Turnovosky(2000). ‘Rational Expectations and Saddle Point Behaviour’, MIT Press.

Yung Chul Park & Jong Whalee (2001). ‘Recovery and Sustainability in East Asia’ (NBER)

55

Section D: Firm Level Analysis of Trade

FDI in Retail Sector, Environment, and Fair Trade Practices:

Looking for Evidence

Amita Shah

Gujarat Institute of Development Research

The issue of foreign direct investment (FDI) in retail food and agri-products in India has

seen one of the most intense debates pertaining to economic policies in the recent past

[Singh, 2010; Ghosh, 2012a; Mathew, et.al, 2008; Mukherjee, et.al; 2011; Reardon, T. and

Minten, B. 2010]. Strangely much of the debate preceding the adoption of the bill by the

two houses in the parliament in December, 2012 was marked by a series of presumptions

as well as apprehensions, rather than concrete evidence, from the supporters and

opponents of the proposed bill. For the time being the political debate seems to have

settled on the floor of the parliament. However, the academic debate may not be seen as

convincingly resolved, mainly for the want of empirical evidence on a range of issues viz;

efficiency (prices included), inclusion of the small/poor/scattered producers in the global

value chain, and the likely displacement of a large number of self-employed workers

engaged in petty production and trade. Environmental and health implications are yet

another important set of issues that, till now, have received rather limited attention in the

recent debate, not to talk about putting together empirical evidence thereof [Shah, 2011;

Ghosh, 2012b; Timmer, 2003].

Whereas the proponents of the large players in the food retail sector plead the case

mainly on the ground of fresh flux of the much needed foreign direct investment (FDI) in

the hitherto underinvested sector, those opposing the move plead that entry of the FDI

may neither reduce prices nor, create enough jobs to take care of the displaced workforce

[Singh, 2011]. Similarly, it may be noted that even if the FDI in a vital sector such as this

may create the much acclaimed `win-win` situation for producers, distributors, and

consumers of farm products, the issue of increased use of natural resources-land and

56

water-required for increasing the production of certain types of food-products and

commodities, remains to be adequately investigated. Also the questions as to `what type

of food will be produced additionally, and for which class of consumers’ is often missing

from the policy contemporary discourse in the country. These questions need careful

probing, especially at the time when natural resources are getting scarcer and the

challenges of food security is increasingly getting complex in the wake of climatic

variability, demographic dynamics, and uncertainties in the global food markets.

It is imperative to recognise that the competitive pressure works in a situation where

markets are functional and efficient; but when it comes to natural resources where

markets by and large tend to fail, the logic of market efficiency may also start weakening.

Also it is worth asking as to what is there in this improved market efficiency for those

having very limited purchasing power and almost non-existing safety net against

staggering food inflation? Of late the discourse on food security has come up with a

severe critique on `excessive emphasis` on growing cereal and pulses, rather than milk,

meat, fruits-vegetables and fish [Dorin, 1999]. To an extent this may be a valid criticism in

so far as production of these other, and perhaps, richer sources of nutrients is far below

the actual as well as potential demand of the India’s middle and higher income

consumers with ever growing life style related aspirations at the time when the bottom

30-40 per cent of the population is still underfed in terms of the basic food products. It

may be noted that the new set of food items need a far more favorable agronomic and

natural resource endowment as compared to cultivation of (coarse) cereals and pulses.

This scenario thus, poses a major challenge for striking a fine balance between in

production of the essentials as well as the desirables to attain fair degree of food and

nutrition security for all without compromising resource use sustainability in the medium

and long run.

Arguably, opening of the retail sector in food and agri-products may reduce the pressure

on the scarce land and water resources by way of imports from other countries. But this

may take away a potential policy option for the domestic producers to mix and match

57

resource intensive and subsistence agriculture that may help putting the domestic

agriculture sector on a long term growth path which is economically viable and

environmentally sustainable. It may be noted that attaining a balance (if not setting an

unconditional priority to meet the needs of the poor) requires a fine tuning of the policies

and closer monitoring of the outcomes, within a domestic sphere. In absence of this, any

promise of regulating and/or restricting the foreign investors, especially multi-brand

giant corporations appear to be fairly farfetched, especially given the lumpiness of their

investment

Recognising the trade-offs in terms of what to produce, how to produce and for whom to

produce is essential because these trade-offs tend to become sharper when natural

resources-land and water-are already scarce and likely to get scarcer in the next 20-30

years. It therefore imperative to keep engaging in the academic debate on the issues such

as: a) identification of the likely trade-offs; b) fine tuning of the domestic policies to

create right kind of signals (and regulations) for the foreign investors, and c) creation of

policy spaces for safeguarding the interests of the poor producers and traders, health of

the consumers, and also sustainability of natural environment.

It is likely that some of the fair trade initiatives may open up new avenues for promoting

equity, food security & safety, and environmental sustainability [Nelson and Smith, 2011].

Intuitively, these do not seem to be a good substitute for creating a right kind of domestic

policy framework in place. Given this backdrop, this paper aims at a) collating the

evidence on environmental and health impact of some of the new sets of food and

related products such as milk, horticulture, floriculture and processed food in India and

Asia; and b) examine experience of some of the fair-trade initiatives in food and

agriculture sector in the country. It is however, argued that such initiatives, though steps

in the right direction, need to get properly integrated into the larger policy framework in

the domestic sphere, lest these initiatives may remain as islands in the midst of non-

sustainable farm production and inequitable (and perhaps not so healthy) consumption

patterns within the country. It is further argued that if creating agri-infrastructure is so

58

vital for the poor producers and consumers of food products in the country, the state

must accord due priority to these investment; the large private sector players, including

multinationals, may at best supplement the new investment to be made by the state.

After all, the state owes directly accountable to the poor and the hungry who have been

waiting for long in the sidelines of the growing prosperity within the country.

References

Dorin B, (1999). ‘Food Policy and Nutritional Security’ Unequal Access to Lipids in India. Economic and Political Weekly, 34 (26), pp. 1709-1717.

Ghosh, J. (2012a). ‘Play of Interest’ Frontline, Vol. 29, Issue 11. January 02–15. Ghosh, J. (2012b). ‘Fast Food World’, Frontline, Vol. 29, Issue 21. October 20 – Novovember 02. Methew, J, N Sundarajan, M Gupta and S. Sahu (2008), ‘Impact of Organised Retailing on the

Unorganised Sector’, ICRIER, Working Paper No. 222, New Delhi. Mukherjee A. et. al, (2011). ‘Impact of the Retail FDI Policy on Indian Consumers and the Way

Forward’ ICRIER Policy Series No. 5. Nelson V. and Smith S., (2011). ‘Fair trade Cotton: Assessing Impact in Mali, Senegal, Cameroon

and India’, Synthesis Report, Natural Resources Institute, (NRI) University of Greenwich (UoG) and Institute of Development Studies, (IDS), University of Sussex.

Reardon T, and Minten B, (2011). ‘Surprised by Supermarkets: Diffusion of Modern Food Retail in India’, Journal of Agribusiness in Developing and Emerging Economies, Vol. 1, ISS: 2, pp. 134-161.

Shah, A. (2011). ‘Retail Chains for Agro/Food Products: Inclusive or Elusive?’ Economic and Political Weekly, 46 (33), pp. 25-28.

Singh, S. (2010). ‘Implications of FDI in Food Super Markets’, Economic and Political Weekly, 45 (34), pp. 17-20.

Singh, S. (2011). ‘Controlling Food Inflation: Do Super Markets Have a Role?’, Economic and Political Weekly, Vol. 46 (18), pp. 19-22.

Timmer C.P., (2003). ‘Food Policy in the Era of Supermarkets: What’s Different?’, Journal of Agricultural and Development Economics, 1 (2), pp. 50-67, FAO, Rome

59

Effect of Foreign Ownership on Firm-Level Export Behaviour in the

Indian Machinery Industry

Pradeep Kumar Keshari

Head, Regional Training Centre, IDBI Bank Ltd., Videocon Tower, Jhandewalan,

New Delhi-110055 E-mail:

This paper aims at studying the effect of foreign ownership on export behaviour by

comparing the export behaviour of foreign controlled firms (a firm with at least 26

percent of equity holding by the foreign promoters) and domestic firms (other than

foreign controlled firms) in Indian machinery industry. It defines the export behaviour of

a firm involving two simultaneous activities, the export propensity or decision to export

(or not) as well as export intensity or the decision on the portion of output to be

exported.

The recent literature on effect of foreign ownership on the export behaviour revealed the

following: i) there exist a large number of studies comparing export intensity of foreign

and domestic firms but few studies on the effect of foreign ownership on decision to

export and still fewer on combining both aspects of export behaviour; ii) there exist some

important differences between the determinants of export propensity and export

intensity, theoretically as well as empirically; iii) as the firm-level export behaviour is

determined by a number of firm and industry specific factors including foreign

ownership, the additional factors are required to be controlled in a multiple regression

framework so as to isolate the effect of foreign ownership per se; iv) Indian studies

provide mixed evidence on comparative export behaviour (mostly measured by export

intensity) of foreign and domestic firms but the studies pertaining to other developing

countries mostly report higher export intensity as well as export propensity of foreign

firms; v) the recent Indian studies have mostly used Tobit model to study the

determinants of firm-level export intensity.

60

To conduct empirical analysis, we employ an unbalanced sample of pooled data on a

cross- section of 177 firms for 7 year’s period covering 2000/01 to 2006/07. Most of the

data for the study are sourced from the CMIE’s PROWESS - an electronic database on

financial and other parameters prepared from the annual reports of about 10000 Indian

companies. The paper estimates an appropriate sample selection multiple regression

model of export behaviour involving both the decisions in a single framework with the

help of a pooled data set for the seven years period between 2000/01 to 2006/07.

The estimation results reveals that the foreign controlled firms have greater likelihood of

exporting, even after controlling for a large number of additional factors influencing

export behaviour. Among the exporting firms of the industry, however, the export

intensity of foreign controlled firms is not found greater in comparison to those of the

domestic firms. There exist barriers to entry into export market mainly in form of sunk

and transaction costs inhibiting firms to export. To overcome these barriers, the Indian

firms based in the machinery industry can thus take advantage of FDI constituting a

package of tangible (financial capital) and intangible resources (viz. internal and external

networks and contacts, corporate image, technology, managerial, marketing and

organizational expertise).

References

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Developing Countries: Some Analytical Issues and New Empirical Evidence’, Journal of

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Country Firm-level Data’, Journal of Development Economics, 93(2): 206-17.

Bhaduri, S. and A. Ray (2004). ‘Exporting through Technological Capability: Econometric Evidence from

India’s Pharmaceutical and Electrical/Electronics Firms’, Oxford Development Studies, 32(1):87-100.

Bhat, S. and K. Narayanan (2009). ‘Technological Efforts, Firm Size and Exports in the Basic Chemical

Industry in India’, Oxford Development Studies, 37(2): 145-69

Blomström, M and A. Kokko (1998). ‘Multinational Corporations and Spillovers’, Journal of Economic

Survey, 12(2): 1-31.

61

Chhibber, P. K and S. K. Majumdar (2005). ‘Property Rights and the Control of Strategy: Foreign Ownership

Rules and Domestic Firm Globalization in Indian Industry’, Law & Policy, 27(1): 52-80.

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Singapore Economic Review, Vol. 50, pp. 303-12.

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62

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Bulletin of Indonesian Economic Studies, 35(2): 43-66.

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of Automotive Parts Firms in India’, Asia Pacific Business Review, 14(1): 85-102.

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Electronics Industry in Malaysia, the Philippines and Thailand’, European Journal of Development

Research, 16(3): 587–623.

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Foreign and Local Electronics Firms in Malaysia’, Asia Pacific Business Review, 15(2): 181-97.

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than Local Firms in Kenyan Manufacturing’, Oxford Development Studies, 33(2): 211-27.

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Roberts, M. and J.R. Tybout (1997). ‘The Decision to Export in Colombia: An Empirical Model of Entry with

Sunk Costs’, American Economic Review, 87: 545-64.

Siddharthan, N.S. and S. Nollen (2004). ‘MNE Affiliation, Firm Size and Exports Revisited: A Study of

Information Technology Firms in India’, The Journal of Development Studies, 40(6): 146-68.

Sjöholm, F. (2003). ‘Which Indonesian Firms Export? The Importance of Foreign Networks’, Regional

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Developing Economies, 46(4): 428-46.

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Transnational Corporations, 17(2): 1-16.

63

Integration of IT Services in the Economy –An Analysis of Selected

Countries and India

Deeparghya Mukherjee

Indian Institute of Management Bangalore

Email: [email protected]

Global information technology (IT) spending has seen phenomenal increases over the last

decade and a half and is scheduled to be of the order of $3.6 trillion in 2012(Gartner).

Amidst claims of increased productivity through greater IT integration in production

processes, India has been adopting policies to facilitate the growth of the IT industry.

Setting up of software technology parks (STPs), the IT Act of 2000 and tax holidays for IT

export incomes are some of the fiscal measures that have been taken to grow the IT sector

in India. As recognised in the literature, exports act as drivers of economic growth and

also help to increase domestic productivity through linkage effects and productivity

spillovers to other sectors of the economy. India’s policies to facilitate growth of the IT

sector are thus expected to not only increase exports but also increase overall domestic

productivity through greater IT integration with the rest of the economy. This paper

investigates the forward and backward linkages of the Indian IT services sector, IT

intensity (proportion of total value added in the economy that is attributable to IT as

intermediate inputs) and IT export intensity (proportion of IT services output exported)

from 1993-94 till 2006-07 using the Leontief input-output model. The primary sources of

data are the Organisation for Economic Cooperation and Development (OECD)

Structural Analysis (STAN) database and the input-output transaction tables published by

the Central Statistical Organisation (CSO), India. The Indian experience is compared with

that of other developed and developing economies which have a significant IT services

sector like the USA, UK, Germany, Japan, China and Brazil. Results suggest a higher

export orientation of the Indian IT industry and lower IT usage in domestic production

compared to other countries. Although backward linkages of the Indian IT sector are

64

almost similar to both developed and developing countries, forward linkages have been

low. IT intensity for India is the lowest amongst the countries considered in the study

proving the scope for greater IT integration to reap productivity benefits for the country.

Cross country regression analyses are attempted to identify causal agents of (1) IT export

intensity and (2) IT intensity. We identify low labour costs, low taxes, the size of the non-

IT services sector and a colonial past as important factors driving high IT export intensity.

IT infrastructure, technical readiness, higher education, regulatory policy and national

income emerge as important factors in increasing IT intensity in an economy. For the

manufacturing sector alone, export orientation increases IT usage in the production

process.

Key Words: Information Technology (IT) services integration, Backward and Forward

Linkages, Input-Output Model, IT export intensity, cross country regression.

References

Arora, A., & Athreye, S. (2010). ‘The Software Industry and India's Economic Development’, NBER Working

Paper No. 16167. Cambridge, MA: National Bereau of Economic Research .

Baliamoune-Lutz, M. (2003). ‘An analysis of the determinants and effects of ICT diffusion in developing

countries’, Information tecnology for development, 10, 151-169.

Berkowitz, D., Moenius, J., & Pistor, K. (2006). ‘Trade, law, and product complexity’, Review of Economics

and Statistics, 363-373.

Cai, J., & Leung, P. (2004). ‘Linkage Measures: a Revisit and a Suggested Alternative’, Economic Systems

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Letters, 33, 337-340.

Dedrick, J., & Kraemer, K. (2001). ‘The Productivity Paradox: Is it Resolved? Is there a New One? What Does

It All Mean for Managers?’, Center for Research on Information Technology and Organisations,

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structure’, Journal of Regional Science, 37, 235-357.

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equitable information society’. New York. Oxford: Oxford University Press.

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65

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66

Trade Effect on Employment Elasticity in Indian Manufacturing

Industries: An Aggregate and Disaggregate Level Analysis over the

Time Period 1988 to 2007

Simontini Das1, Ajitava Raychaudhuri2, and Saikat Sinha Roy3

1 Assistant Professor, Department of Economics, Rabindra Bharati University, Kolkata.

Email: [email protected] 2 Professor,

Department of Economics, Jadavpur University, Kolkata.

Email: [email protected] 3 Associate Professor,

Department of Economics, Jadavpur University, Kolkata.

Email: [email protected]

India’s merchandise exports witnessed quantum growth during post reforms

accompanied by wide ranging changes in commodity composition towards more value-

added manufactured exports. Such high growth in merchandise exports and changing

commodity composition are likely to have immense implications for labour market

outcomes. This paper investigates into the impact of international trade on aggregate

employment and employment elasticity in aggregate as well as disaggregated

manufacturing in India. In specific, the paper estimates the impact of manufactured

exports on demand for both production and non-production workers and employment

elasticity in aggregate as well as disaggregates manufacturing in India during post

reforms. Econometric estimation is carried out for a panel data set comprising of

disaggregated manufacturing industries for the period 1988 to 2007 using dynamic panel

data estimation methods. Fifteen manufacturing industries are selected for estimation

purpose. These industries are classified into two groups; export-oriented industries and

import-competing industries. All the export-oriented industries are labour intensive and

most of the import-competing industries, except wood, cork, straw and plaiting materials

industry, are capital-intensive. The empirical analyses show a significant positive impact

of exports on aggregate employment for production as well as for non-production

workers. The export elasticity is found to be higher for non-production workers than

67

production workers. Thus export increases employment opportunity more for non-

production workers than production workers in Indian manufacturing industries.

Aggregate level analyses also show that export trade increases employment elasticity for

both types of workers. However, this increase in employment elasticity cannot be

explained in terms of growth of export-oriented industries. The growth of employment

elasticity in some import-competing industries (iron and steel industry and chemical

industry) may cause an increase in employment elasticity at aggregate level. The results

vary significantly across industries. Disaggregate level analyses show that positive impact

of export trade on employment elasticity of production workers is observed in most

industries (ten out of fifteen industries). In case of non-production workers, this impact is

positive in fewer industries (six out of fifteen industries). The growth of real wage and

labour market flexibility help to explain the variations in the disaggregated results. It is

observed that employment elasticity for production workers increases in those industries,

where the growth rate of real wage declines or labour market is relatively flexible due to

high growth of contract labour. These two causes individually or jointly increase the

employment elasticity for production workers across the industries. Labour market for

non-production workers is less flexible due to absence of contractualisation. This may

cause the negative impacts of trade on employment elasticity for non-production workers

over a large range of industries.

Keywords: International Trade, Employment, Employment Elasticity, Dynamic Panel

Data Analysis

JEL Classification Code: F16, F14, J23, J21, C23

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68

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70

FDI, Firm Heterogeneity and Exports: an examination of evidence

in India

Maitri Ghosh* and Saikat Sinha Roy@

* Assistant Professor, Bethune College, Kolkata. India.

E-mail: [email protected] @ Associate Professor,

Department of Economics, Jadavpur University, Kolkata, India.

E-mail: [email protected]

In an emerging market economy, exports assume the centre-stage of economic activity.

Foreign Direct Investment (FDI) is a major instrument that provides impetus in

accelerating export performance in such an economy. This is particularly true for India as

FDI brings in a bundle of intangible assets such as new technology and know-how, skill,

wider and more efficient marketing and distribution networks, better managerial

capabilities etc., which are relatively scarce in these economies but are key to better

export performance. FDI is also beneficial for the host country since it can result in

positive externalities or spillovers through various channels of transmission.

Multinational Enterprises (MNEs) form the major channel through which FDI flows into

emerging market economies. MNEs access foreign markets with much more ease than

their domestic counterparts in the host country and often use the host country as export

platform. MNEs, given their scale of operations and a wide array of intangible assets, are

productive and have the capability to overcome the huge sunk costs while entering export

markets. These specific advantages give the foreign firms an edge in the export market

than the domestic firms. Further, host country domestic firms can learn from the export

activities of foreign subsidiaries and affiliates through information externalities,

demonstration and competition channels thereby resulting in export spillovers.

The paper analyses the effect of foreign direct investment on firm-level export

performance across manufacturing sectors in India. FDI inflow in India during post

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reforms is expected to improve export competitiveness. Such improvements are found to

vary across sectors with varying levels of FDI and hence MNE participation across sectors.

Further, the evidence of inter-firm variations in export performance across sectors is

indicative of the existence of factors specific to firms. In determination of export

performance a firm specific model has been set up for econometric estimation. In the

model, firm heterogeneity is measured in terms of productivity. Panel data estimation

results show that ownership along with import of technology (embodied and

disembodied), in-house R&D, import of raw materials, and expenditure on marketing,

advertising and distribution are the major determining factors of firm-level exports. Firm-

level productivity and credit availability also play significant role in certain sectors. As

FDI brings with it a huge base of tangible and intangible assets, there is also evidence of

positive externalities or spillovers through various channels of transmission. The results

also show presence of export spillovers from foreign to domestic firms in some

manufacturing sectors.

Key words: Export competitiveness, FDI, Multinational Enterprises, Export spillovers,

Panel data estimation

JEL Classification Code: F16, F23, L25, C23

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75

Modus Operandi of Indian Manufacturing Firms: Domestic versus

International

Bikash Ranjan Mishra

Lecturer P. G. Department of Economics, School of Social Sciences

Ravenshaw University, Cuttack- 753003, Odisha, India Email: [email protected]

and Senior Research Scholar,

Department of Humanities and Social Sciences (Economics) Indian Institute of Technology Kanpur, Uttar Pradesh, India

Email: [email protected]

Indian economy over the years has attained a high benchmark to sustain her business and

competition with other nations. The credits should go to the policy makers during the

early 1990s that had adopted a series of liberal policy and undertook major economic

reforms, by reducing government restrictions on foreign trade and investment. The

publicly owned industries are privatized and many profit earning sectors have now been

opened to private and foreign interests. Significant and far-reaching changes have been

made in industrial and trade policy. Import liberalization has been a principal component

of the economic reforms undertaken. Tariff rates have been brought down considerably

and quantitative restrictions on imports of manufactured products have been by and

large removed. In the post liberalization era, India has not only opened up its doors to

foreign investors but also made the investment procedures easier for them by

implementing the following measures: (a) Foreign exchange controls have been eased on

the account of trade. (b) Companies can raise funds from overseas securities markets and

now have considerable freedom to invest abroad for expanding global operations. (c)

Foreign investors can remit earnings from Indian operations. (d) Foreign trade is largely

free from regulations, and tariff levels have come down sharply in the last couple of years.

(e) While most Foreign Investments in India (up to 51 %) are allowed in most industries,

foreign equity up to 100 % is encouraged in export-oriented units, depending on the merit

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of the proposal. In certain specified industries reserved for the small scale sector, foreign

equity up to 24% is being permitted now.

As the series of theoretical and empirical literature suggests, firm heterogeneity is a

deciding factor of the above-mentioned mode of market service. Besides it, other

significant firm-specific features like age of the firm, its assets size, and volume of sales,

market concentration, R&D intensity, advertisement intensity and its technological

intensity are also examined to explore the decision of a firm with respect to foreign

market service. This paper starts with the explanation of preferable mode of market

operation. In the theoretical set-up, the paper starts with the work of Melitz (2003) which

gives a solid baseline framework and justification for the choice of exports and domestic

sales as the preferable mode of market service. Adding FDI as an alternative mode,

Helpman-Melitz-Yeaple (2004) explained that FDI is the best mode of foreign market

operation. The firms which lie in the top ladder of productivity prefer to open its affiliates

abroad and produce in foreign location. Those firms which are in the next range of

productivity, obviously less in comparison to the FDI ladder, prefer to choose export as

the mode of foreign market operation. Contrarily, the firms which are in the least cadre of

productivity, they do not have any option left rather to restrict its operation to the

domestic territory only, serving the localities.

The sole objective of the paper is to undertake an investigation on the decision of Indian

firms and of its determinants with respect to the mode of service or operation. That

means, why an Indian firm chooses between the following question, i.e., whether to

expand its operation to the foreign market or restrict it to the domestic territory. The firm

heterogeneity is a deciding factor amongst the alternative mode of market service.

Besides it, other significant firm-specific characteristics of Indian firms like age of the

firm, its assets size, and volume of sales, market concentration, R&D intensity,

advertisement intensity and its technological intensity are also examined to explore the

decision of a firm with respect to foreign market service. Additionally, keeping in view the

firm-specificity and empirical evidences of new-new trade theories, this paper seeks to

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justify that FDI is the most preferable mode of foreign market service for a firm, vis-à-vis

export.

Key words: FDI, HMY, MNL method, Levinsohn-Petrin approach

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Institute of Technology.

78

China’s Telecommunications Service Sector and its Implications for

World Economy

Anil Kumar Kanungo

Indian Institute of Foreign Trade, New Delhi

E-mail: [email protected], [email protected]

China’s telecommunications service sector is uniquely positioned today because of two

important reasons. First, it is the fastest growing in the world, and second it is one of the

most restricted sectors. Once joined the WTO, opening up the sector to external

competition becomes mandatory, however China has largely remained impervious to

such demand and exclusive non-discriminatory policies of WTO. During the negotiations

and even after, liberalization of this sector remained a critical issue due to growth

potential and consideration of China’s one of ‘key national industries’.

This paper analyzes why after a decade China’s telecom service sector is not fully open.

What prompted Government to allow foreign direct investment (FDI) to come in a

phased and geographically restricted manner. What kind of regulations Government has

put in place to protect the interests of the foreign investors. How the market penetration

of telecom service providers has taken shape. How this sector performed during the

global financial crisis and what role FDI played in the sector.

The findings suggest that it is handiwork of the Chinese Government to retain the sector

as restricted. It allowed limited FDI to come and geographically available to consumers to

gauze the initial impact, and keep it an extremely urbanized affair. Ideological reasons

also played a role in restricting FDI in telecom services and allowed the sector to move

quite cautiously. On the whole State control of communications network and allowing or

disallowing of FDI has long been viewed as one of the important aspects of security and

sovereignty. The price competitiveness and discomfort to the consumers have been

79

ignored in the best interests of national sovereignty and security. The sector never

received the ‘State Patronage’ as was extended to the manufacturing sector.

The paper analyzes the major hindrance for the foreign investor was the issue of

transparency in the regulatory system. China’s regulatory framework for

telecommunications is relatively opaque and difficult to understand.

All these developments, the Study concludes, considerably indicate the influence of the

Chinese Government in handling the entire telecommunications service sector to a great

extent and it is her own wish that kept the sector so restricted even now.

Today, high barriers to foreign entrants in the telecommunications service sector, have

indicated that many potential entrants and even the WTO would concede that China

have marginally kept to the agreed schedule for phasing out WTO commitments in the

telecommunications sector. If China’s current approach to telecommunications

regulation proves not only impervious to reform but also legal under WTO rules, WTO

Members will have all the more reason to ensure that these circumstances do not arise

again.

Key words: telecommunications sector, WTO, FDI, sovereignty and security, regulatory

independence

JEL Classification Codes: F13, F14, F15

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Telecommunications Reform in the Asia-Pacific Region, USA: Edward Elgar Publisher.

Yong Wang (2009). Personal Interview, School of International Studies Peking University, Beijing, China 13

April 2009.

Wu, Irene (2009). ‘From Iron Fist to Invisible Hand: The Uneven Path of Telecommunications Reform in

China’, Stanford: Stanford University Press.

Walsham, G. and Sahay, S. (2005). ‘Research on information systems in developing countries: current

landscape and future prospects.’ Information Technology for Development, 12(1): 7-24.

Xiangshuo Yin (2009). Personal Interview, School of Economics, Fudan University, Shanghai, China 9 April,

2009

Yong, Wang (2009). Personal Interview, Centre for International Political Economy, Peking University,

Beijing, China 13 April, 2009

Yu, Liu (2005). ‘China Gets Connected’, Beijing Review, 48(3): 30-34.

Zhang, Ming (2009). Personal Interview, International Finance Division, Institute of World Economics and

Politics, Chinese Academy of Social Science, Beijing 13 April 2009

Zhu Andong (2009). Personal Interview, Centre for Political Economy, Tsinghua University, Beijing, 14 April

2009.

83

Section E: Performance of Banks and Global Financial

Crisis

Estimation of Value at Risk (VaR) In the Context of Global

Financial Crisis of 2007 -08: Application on Selected Sectors in

India

Basabi Bhattacharya* and Piyali Dutta Chowdhury@

* Professor, Financial Economics, Department of Economics, Jadavpur Univer sity, Kolkata; and

Regional Director, Professional Risk Managers’ International Association, Kolkata Chapter,

Email: [email protected] @ Assistant Professor,

Institute of Business Management & Research, Kolkata; and Ph.D Scholar,

Department of Economics, Jadavpur University, Kolkata

Email: [email protected]

The Global Financial Crisis of 2007-08 is often considered to be the worst financial crisis

since the Great Depression of the 1930s. The turbulence generated by global financial

crisis had a profound and significant effect on country’s stock market. This has greatly

challenged risk management models and practices and has generated concerns among

the risk professionals and researchers regarding the effectiveness of alternative risk

assessment methodologies. This reflects importance of the choice of appropriate of risk

assessment models and their timely and precise implementation on the part of

institutions, corporate entities and individual investors as well. Managing financial risks

therefore surfaces as an emergent issue for research and investigation.

This study undertakes empirical estimation of Value–at-Risk (VaR), the widely used risk

assessment methodology, for assessing market risk in the Indian context. Three key

elements of VaR are specified level of loss, a fixed time period and a confidence level. The

single number, VaR, indicates the maximum loss that may be incurred for a given

portfolio for a specified time horizon and a confidence level. The general techniques

84

commonly used to estimate VaR are Parametric method (Delta Normal method) and Non

Parametric method (Historical Simulation method and Monte Carlo simulation method).

While there are several researches both on the methodological improvement on the

method and on the empirical validation of the methods especially in the global context as

well as in the Indian context, there appears a lacuna in the literature in estimating VaR

addressing the recent major global financial crisis period. This paper intends to fill this

lacuna through VaR estimation as well as comparison of methodological efficiency of VaR

models in the context of recent global financial crisis period with reference to the major

sectors in the Indian Stock Market.

The crucial period undertaken in this study refers to the period 2005-2011. Quandt

Andrews Structural Break test has been carried out on the data set to identify the

unknown Breakpoints i.e. crisis period. VaR has been estimated by using the three

methods viz. Delta Normal method, Historical Simulation method and Monte Carlo

Simulation method for the crisis period .The result based three methods are then

compared and analyzed.

In this paper we have considered sectoral diversification by considering the different

sectors which are dominant in the Indian stock market. The portfolio is diversified as it

has representation of different sectors covering Health, Energy, Banking, Realty, IT etc.

on which most of the trades are conducted. The hypothetical portfolio also ensures

further diversification since the different sectors have less correlation among their

returns. The chosen dataset has been empirically tested through application of alternative

methodologies of VaR on this hypothetical portfolio as well as on the individual sectors

for the crisis period only.

The study reflects the way in which the dominant sectors in the market responded to the

crisis phase and how they have worked upon the hypothetical portfolio. The overall risk

characters of the selected sectors are revealed through their behavior during the turmoil

period. . Among the selected sectors, VaRs of the Realty sector, Banking Sector and IT

sector have the values much higher than the other sectors. It is also unveiled from this

85

study that, among all the methodologies of VaR, Monte Carlo Simulation method

yields the best possible results in all the key elements of VaR analysis.

Key Words: Financial crisis, Indian Stock market, VaR

JEL Classification code: G01, G11, G32, C22, C41.

References

Allen, M. (1994). ‘Building a Role Model’, Risk, 7, 73 -80

Bao. Y, Lee T. and Saltoglu B. (2004). ‘Evaluating Predictive Performance of Value -at-Risk Models in

Emerging Markets : A Realty Check’, Journal of Forecasting, 25(2), 101-128.

Beder, T. (1995). ‘VaR: Seductive but Dangerous’, Financial Analysts Journal, 51, 12 -24.

Bhattacharya, B and Dutta, D. (2004). ‘Managing Market Risk in the India Context - An assessment of

Alternative VaR methods’ Working Paper Series, Department of Economics; Jadavpur University,

Kolkata, India.

Bhattacharya, B and Dutta, D. (2004). ‘Value at Risk: A study on Indian Financial Market’, National

Conference on Finance and Economics, ICFAI Business School, Bangalore, India.

Billio, Monica, and L.Pelizzon. (2000). ‘Value -at-Risk: A Multivariate Switching Regime Approach’, Journal

of Empirical Finance, 7, 531–554.

Crnkovic, C. and Drachman, J. (1997). ‘Quality Control in VaR: Understanding and Applying Value -at-

Risk’, Risk Publications, ISBN 189933226X.

Dempster, M. A. H. (editor), (2002). ‘Risk Management: Value at Risk and Beyond’, Cambridge University

Press, ISBN 0521781809.

Dowd, K. (2005a). ‘Measuring Market Risk’, John Wiley & Sons Ltd,

Hendricks, D. (1996). ‘Evaluation of Value -at-Risk Models Using Historical Data’, Economic Policy review,

Federal Bank of New York, April 39 -69.

Jamshidian F. and Y. Zhu (1997). ‘Scenario Simulation Model for Risk management’ Capital Market

Strategies, 12, 26-30.

Jorion, P. (2000). ‘Value at Risk: The New Benchmark for Controlling Market Risk’, McGraw -Hill, New York.

Lopez, J. A. (1999). ‘Methods for evaluating value -at-risk estimates’, Economic Review, Federal Reserve Bank

of San Francisco, 3-17.

Nath, Golaka, Reddy, Y. V. (2003). ‘Value at Risk: Issues and Implementation in Forex Market in India’,

November, pages 26.

Samanta, G. P. and Golaka C. Nath (2003), ‘Selecting Value -at-Risk Models for Government of India Fixed

Income Securities’, International Conference on Business & Finance, December 15 -16, 2003 at the

ICFAI, University, Hyderabad, India, Co-Sponsored by the Philadelphia University, USA.

Sarma, M., S. Thomas and A. Shah (2000). ‘Performance Evaluation of Alternative VaR Models’, mimeo,

Indira Gandhi Institute of Development Research.

Schinassi, G. (1999). ‘Systemic Aspects o f Recent Turbulence in Mature Markets’, Finance and Development,

March, 30-33, IMF, Washington

Varma, J.R. (1999). ‘Value at risk models in Indian Stock market’, Indian Institute of Management, 1999.

Working paper no- 99-07-05, Indian Institute of Management.

86

Institutional Economics: An Approach to Analyze the Conduct of

Foreign Banks in India

K. V. Bhanu Murthy* and Ashis Taru Deb

Department of Commerce Delhi School of Economics

Delhi University

*E-mail: [email protected]

This paper invokes institutional economics as an approach to understand and analyze the

conduct and role of foreign banks in relations to other segments of banking industry and

the regulator in India. It provided a new definition of Institutional Economics as a study

of long term behaviour arising in the pursuance of self interest. Various dimensions of

conduct of foreign banks in colonial period were analysed to understand their behaviour

in a long-term context. They produced information asymmetry in the market for exports

at the cost of domestic exporters. They did not provide a level playing field for Indian

commercial houses vis-à-vis foreign commercial houses engaging in international trade.

They reaped fullest advantage from a situation of laissez faire and conducted their

operations with zero transparency. They produced adverse impact on the development of

indigenous banking skills necessary for development of banking market in the country.

The paper uses data contained in ‘Statistical Tables for Banks’ and ‘Trend and Progress of

Banking in India’ for the period from 1992 to 2011. It develops seven testable hypotheses

and uses simple table and panel regressions to test them. The results show that they have

become institutions unto themselves. They do not promote basic banking; they operate

on the basis of financial exclusion and carry out a heavy dose of off-balance activities, in

comparison to other banking segments. It was observed that foreign banks engaged in

variants of carry forward trade, which went against objectives of the monetary policy.

While there are occasions when they have helped the government in mobilization of

resources, it is pointed out that they are fair-weather friends at best and a potential

source of instability at worst. Foreign banks tend to cut down upon staff and hence have a

87

very low branch network. To compensate they substitute branches with ATMs. The

foreign banks show long-term conduct in terms of following a highly risky, and profit

oriented banking. They indulge in financial exclusion. They have an urban bias. Most of

all they are contributing to the digital divide.

It was evident that the characteristics of conduct of foreign banks came to stay over the

decades, while policies towards them underwent sea changes. Although foreign banks

faced an unfavorable policy scenario, during the period from independence to

globalization, in the subsequent phase, elements of these characteristics of behaviour

continue to manifest themselves, while the form might have changed. This is strongly

indicative of the evolution of foreign banks as an institution.

It is pointed out that foreign banks enjoy more freedom in their operations in India than

in many other developing countries. India has been granting branch licenses more

liberally than is required by the commitments made in the WTO. RBI has not invoked

the 15% ceiling limit on licensing. Instead, RBI has not denied license to any foreign bank,

even though the actual share of foreign bank in total assets of the banking system has

been far above the limit. It would be extremely difficult to justify the notion that the

current regulatory regime is unduly restrictive and not conducive to the operation of

foreign banks in India.

It appears that paper has produced enough evidence to suggest that development of

foreign banks in India have contributed to conflicts in institutions at all the three levels:

firstly between foreign banks and their domestic counterparts; secondly between foreign

banks and domestic policy framework and finally between WTO and domestic policy

framework.

Key words: Foreign banks, regulation, institution

JEL Classification Code: G21, G28, K00, L51, Z13.

88

References

Bain, A.D. (1994). ‘The Economics of Financial System’, Blackwell, Oxford UK, Cambridge, USA.

Bhatt V. V. (1991). ‘On Improving Effectiveness and Efficiency of Financial System in India’, Economic and

Political Weekly, October 12, page 2367 -2372.

Bhanu Murthy, K. V. and Ashis Taru Deb (2009). ‘Sub Prime Crisis in US: Emergence, impact and lessons’,

SSRN Working Paper No http://ssrn.com/abstract=1303417

Business Line (2008) RBI likely to clamp down on arbitrage trade by foreign banks , April 22, page 6.

Business Standard, Stanchart in big rural push, 19th April, 2008.

C. Ménard and M. M. Shirley (eds.), (2005). ‘Handbook of New Institutional Economics’, Springer, Printed in

the Netherlands, pp. 1-18.

Charvaka (1993). ‘Foreign Banks in India: The Drain’, Economic and Political Weekly, January 30, pp 155-57.

Deb, Ashis Taru and Bhanu Murthy, K. V. and (2011). ‘Corporate Governance in Foreign Banks in India’ in

Corporate Governance in Banks, edited by Mridula Sahay, S. Sreenivasa Murthy and R.K. Mishra,

Macmillan Publishers India Ltd, Macmillan Advanced Research Series, New Delhi.

Economic Times, Fair-weather friends: Foreign banks seek to exit PD business, 13th April, 2005, page 1.

Economic Times, Foreign Competition in Banking, Economic Times, 10 April, 2002, page 7.

Economic Times, Differentiated bank proposal, an encouraging measure, May 2, 2007.

Frances, Jane (2004). ‘Institutions, Firms and Economic Growth’. New Zealand Treasury, Working Paper,

Wellington.

Gongopadhaya, S. and Singh, G. (2000). ‘Avoiding Bank Run in Transition Economies: The Role of Risk

Neutral Capital’, Journal of Banking and Finance, 24 (4), pp.625-642.

Hindustan Times Business, Father of India’s EMI culture says Goodbye, December 20, 2008.

IMF (2003). ‘World economic outlook: Growth and institutions’, Washington DC, Working Paper,

International Monetary Fund. http://www.imf.org/external/pubs/ft/weo/2003/01/

Joseph, M. and Nitsure, R. R (2002) WTO and Indian Banking Sector: The Road Ahead, Economic and

Political Weekly, 37(24), 2315-2322.

Keizer, Piet (2008). ‘The Concept of Institution: Context and Meaning’, Working Papers 08-22, Utrecht

School of Economics. North, Douglass C (1991). ‘Institutions’, Journal of Economic Perspectives 5(1): 97-112.

Ram Mohan, T. T. (2004). ‘RBI Guidelines on Foreign Ownership in banks: Don’t shoot the Regulator’.

Economic and Political Weekly, 39(46 and 47), 4964-496.

Reserve Bank of India, Statistical Tables relating to banks, various issues, Bombay.

Reserve Bank of India, Report and Trends of Banking in India, various issues, Bombay.

Rodrik, Dani (2003). ‘Growth strategies’, National Bureau of Economic Research, Working Paper No 10050.

Cambridge MA.

Verma, Sunny (2011). RBI terns on off -balance sheet exposures of foreign banks, Economic Times,

September 1, page 2.

Vishwanathan, Aparna. (1993). ‘Foreign Banks: Need for Control’, Economic and Political Weekly, March 22-

27, pp 503-04. http://www.blonnet.com/2003/02/10/stories/2003021002070100.htm

Williamson, Oliver (2000). ‘The new institutional economics: Taking stock, looking ahead’, Journal of

Economic Literature, 38(3): 595-613.

89

Section F: India’s Trade Performance

Import Liberalization and Persistent Negative Trade Balances in India: Impact on Domestic Income and Employment

Tushar Das

Sadananda Mission High School, Howrah, India E-mail: [email protected]

Economic liberalization in India in 1991 had its major component reflected in the

liberalized import policies of government of India. The obvious objective was to promote

freer trade by allowing the substitution of imported inputs for domestic ones when it is

needed for achieving more competitive exports via more efficient production and thereby

gaining greater share of Indian export products in the world market. However, we notice

stimulating debates in the empirical literature questioning the possibility of success of the

above in the Indian context. Nambiar and others (1994,1999) have tried to establish the

view that instead of promoting income and employment through accelerated export

growth via more efficient production through eased used of imported inputs, trade has

shrunk income and employment growth. This paper using slightly improved

methodological framework and data base (substituting domestic input-output matrix for

total matrix (domestic + import) matrix) for projection of income and employment, we

arrive at the conclusion that liberalized trade has promoted income and employment

rather than squeezed it. Again, in no way persistent adverse trade balance can be

considered an essential byproduct of liberalization. If import relaxation and export

promotion can go together through an integrated policy package in the liberalized

scenario, it may be possible to overcome persistence of sizable negative balance of trade.

So, we have made an attempt to visualize a ‘zero trade balance’ scenario to separate out

the impact of negative trade balance on income and employment in the liberalized trade

situation in India.

90

We consider ( )MEFfQ d −+=

where Q = Production of goods, dF= Domestic final

demand, E = Exports and M = Imports. It follows from the equation that any change in

production can be decomposed into i) a change due to domestic use and ii) a change due

to foreign trade. To estimate the impact of a change in domestic demand, exports or

imports or trade on production, the induced effect of that change must be taken into

account also. We first obtain the sector wise labour coefficients (the labour requirement

per rupee worth of output). Then the direct and indirect labour requirements for

domestic final demand, exports, imports and for trade are separately derived in the

following way:

( ) dL

d FAdILF1−

−= : Total Labour requirement due to final domestic demand (Direct

plus Induced)

( ) EAdILE L 1−−= : Total Labour requirement due to export (Direct plus Induced)

( ) MAdILM L 1−−= : Total Labour requirement for import replacement (Direct plus

Induced)

Where L is a row vector of labour coefficients, ( ) 1−− AdI is the Leontief inverse of the

domestic input matrix, E is the column vector of exports, M is the column vector of

imports, Fd is the column vector of domestic final demand. LdF is the direct and indirect

labour requirement for domestic use. EL is the direct and indirect employment associated

with exports. ML is the direct and indirect employment displaced by the competitive

imports. In a similar way, value added requirements are calculated for domestic final

demand, exports, imports and trade.

Though liberalized trade has contributed to loss of employment and value added over the

period 1993-94-1998-99 but it has contributed to growth in net employment and income

in the later phase of import liberalization ie, 1998-99 -2006-07. As far as the relative

contribution of domestic use and trade to the net change in employment and value added

91

over the period 1993-94 – 2006-07 is concerned, the result of our decomposition exercise

shows that the induced effect of domestic use and trade are contributing to positive

employment growth of the economy but in case of value added, while domestic demand

contributes to positive income growth, trade stimulates negative net income growth of

the economy during the period just mentioned.

Like pre reform periods, Indian economy under liberalisation is also characterized by

persistent and sizable negative trade balances. In this paper, our attempt to study the

impact of negative trade balances on domestic income and employment visualizing a

‘zero trade balance’ scenario (Imports scaled down to the size of exports and exports

scaled up to the size of imports) suggests that persistence of adverse negative trade

balance itself is, to a large extent, responsible for the employment and value added loss

especially in the era of import liberalisation. It is to be remembered that import

liberalization and huge trade deficit should not go simultaneously and large negative

trade balance need not be considered as an essential by product of economic

liberalization. So, it seems essential that import relaxation and export promotion should

go together through an integrated policy package in the liberalized scenario to overcome

persistence of sizable negative balance of trade and the resultant loss of employment and

income.

Key Words: Economic Liberalisation, Domestic Input-Output Matrices, Value added

JEL Classification Code: F14

References

Basu, K. (1993). ‘Structural Reforms in India, 1991-93: Experience and Agenda’, Economic and Political

Weekly, November, 2

Bharadwaj , R (1962). ‘Structural Basis of India’s Foreign Trade’, (University of Bombay).

Das, T. (2010). ‘Generation of Employment and Income in Non Manufacturing Sector Stimulated by Trade

in Manufacturing Sector in India Under Liberalisation’, Arthabeekhsan, 19(3), 30-39.

Das, Tushar, A.K Sengupta (2011). ‘Import Liberalisation in India: It’s Impact on Domestic Income and

Employment’, The Indian Journal of Labour Economics, 54(2), 239-250

Economic Survey - 2002-03, 2006-07 Govt. of India.

Ghosh, A. (1960). Experiments with Input-Output Models, (Cambridge University Press).

92

Input-Output Tables - 1993-94,1998-99 , 2003-04 and 2006-07, Central Statistical Organization, Govt. of

India.

Nambiar, R.G and G Tadas (1994). ‘Is Trade De industrializing India?’ Economic and Political Weekly, Oct-

15, 2741-46

Nambiar R G, B L Mungekar and G A Tadas(1999). ‘Is import Liberalisation Hurting Domestic Industry and

Employment’, Economic and Political Weekly, Feb-13, 417-24

93

Section G: Foreign Investment

An Empirical Analysis of Trade Liberalization –

Compensation for Expropriation of Foreign Investments: Hull formula Revisited

Rajesh Babu

Associate Professor, Public Policy and Management Group,

Indian Institute of Management, Kolkata E-mail:

The standard of compensation for expropriation of alien property has remained till date

one of the most disputed issues in international law. It has been decades since the United

States Secretary of State Cordell Hull articulated the famous Hull Formula as standard of

compensation as Mexico’s nationalization of American petroleum companies in 1936.

Mexico had invoked the ‘Calvo clause’ in the investment contract, where it was agreed

that whenever there is any dispute relating to investment, the investor will treat

themselves in all respects as a citizen of the host government. Since then the debate has

centered on the application of host country’s standard (laws) or international law

standard for determining compensation for expropriation alien property. The debate also

became one of the most contentious issues in the developed-developing country’s

relationship. Despite persistent objection from the developing countries, the standard set

by the Hull formula has survived to continue to dictate terms of compensation for

expropriation of foreign investment.

Today, the Hull formula and its variants is an integral part of international investment

law. Indeed, the United Nations resolutions in the 1970s and official position espoused by

the developing countries have prevented the Hull formula from establishing itself as the

universal standard of compensation for expropriation in international law. In reality,

however, the 2800 odd bilateral investment treaties (BITs) and interpretations developed

by the international arbitration institutions have helped the Hull formal attain permanent

status, albeit indirect, in international law. In addition, the Hull standard has outgrown to

94

include not just outright or direct expropriation of foreign property, as has been

traditionally understood, but also circumstances where certain acts of States can be

construed as meeting the conditions of expropriation, i.e., practices often known as

creeping or indirect expropriation and circumstance tantamount to expropriation. This

paper attempts to briefly analyze the continuing relevance and resurgence of Hull

formula as the international standard for compensation for expropriation.

95

Section H: Stock Market Returns in the International

Context

The Relationship between Dividend Payout Policy and Foreign

Institutional Investment in India

Poulomi Lahiri

Doctoral-Fellow Institute of Development Studies Kolkata (IDSK)

E-mail id: [email protected]

This paper tries to explore the link between dividend payout policy and foreign

institutional investment. After financial liberalization, it is evident that the share of

foreign institutional investment has increased in developed as well as in developing

countries like India. Dividend payments follow more or a less stable path for most of the

Indian companies during the reform period.

This potential linkage between dividend payout policy and foreign institutional

investment can be explained by several theoretical explanations. Among those theories,

agency theory suggests that being large shareholders and also governed by strong legal

laws of domestic countries along with practising effective and enhanced monitoring

facilities, foreign institutional investors may prevent managers of the domestic firms to

reduce the over-investment or bad investment problems by forcing the domestic firm’s

managers to formulate effective dividend payout policy.

Signalling theory suggests that under asymmetric informational situation firms will pay

dividends in order to attract foreign institutional investors. Hence, a positive association

between dividend payout policy and foreign institutional investors is expected.

Asymmetric informational theory assumes that the agency or the signalling theory arises

out of the conflict between managers (controllers) and shareholders (outside). But, in

India, this agency cost problem takes place between large controlling owners and

96

minority shareholders. In India, foreign institutional investors provide investment to

Indian firms as well as possess equity holding in those respective firms. So, they have

direct access to all the activities of those firms. Thus, dividend signalling theory has no

significance at all.

Dividend clientele theory suggests that having better legal laws, institutional charters and

prudent man rules and restrictions of domestic countries with tax advantage or enjoying

tax exempted status foreign institutional investment and dividend payment may maintain

a positive association with each other.

Over time two new theories have been emerged, these are the maturity theory and the

pecking order theory which could explain the effect of foreign institutional investments

on dividend payout policy. The pecking order theory suggests that highly leveraged firms

will be in favor of paying lower dividends. Maturity hypothesis advocates that firms

having low growth potential (defined by having very few good investment opportunities)

may be in favor of distributing more dividends.

This paper addresses the following questions: a) Do foreign institutional investments

affect payout policy of Indian corporate firms? Under such broad objective we would first

like to investigate whether foreign institutional investments induce Indian corporate

firms to pay dividends? If foreign institutional investments induce the Indian corporate

firms to pay dividends, then by classifying foreign institutional investment into higher

foreign institutional investments (the foreign investors who own more than 5 percent

shareholding ratio) we would like to see whether foreign institutional investments as a

whole, as opposed to higher foreign institutional investments, or both play an important

role in increasing the level of dividend payouts because in many countries foreign

investors who own more than 5% shareholding ratio are only considered as foreign

institutional investors. On the contrary, we want to see whether dividend payout policy

affects the inflow of foreign institutional investment. Using panel data of 150 listed Indian

companies for the period 2001-10, this paper has first tried to explore the impact of

foreign institutional investment on dividend payout policy and vice-versa.

97

The outcomes indicate the foreign institutional investments, as a whole, increase the

chance of paying cash-dividend, but the marginal impact is quite small in economic terms

and also FIIs increases the probability of paying more dividend payouts. Our analysis has

further shown that the foreign institutional investors are attracted towards cash-dividend

paying firms. Thus, our study does not support the agency cost problems but do support

the clientele theory. Our results further reveal that our firm-level characteristics do

support the free-cash flow theory and the pecking order theory firmly but the maturity

theory partially. However, the financial recession, which has started since 2007, has

shown its usual negative impact on the level of dividend payments.

Keywords: Foreign institutional investment, Dividend payout, Panel Probit estimation,

Panel, Tobit estimation, Linear dynamic panel estimation.

JEL Classification Code: C23, C24, G30, G35

References

Allen, F., Bernardo, A. and Welch, I. (2000). ‘A Theory of Dividends Based on Tax Clienteles’, Journal of

Finance, 55(6): 2499-2536.

Baba, N. (2009). ‘Increased Presence of Foreign Investors and Dividend Policies of Japanese Firms’, Pacific-

Basin Finance Journal, 17(2): 163-174.

Black, F. and Scholes, M. (1974). ‘The Effects of Dividend Yield and Dividend Policy on Common Stock

Prices and Returns’, Journal of Financial Economics, 1(1): 1-22.

Chai, D.H. (2010). ‘Foreign Corporate Ownership and Dividends,’ Centre for Business Research, Working

Paper, University of Cambridge.

Easterbrook, F.H. (1984). ‘Two Agency-cost Explanations of Dividends’, American Economic Review, 74(4):

650-659.

Ecbo, B.E. and Verma, S. (1994). ‘Managerial Share Ownership, Voting Power, and Cash Dividend Policy’,

Journal of Corporate Finance, 1(1): 33-62.

Fama, E. and French, K. (2002). ‘Testing the Trade-off and Pecking Order Predictions about Dividends and

Debt’, Review of Financial Studies, 15(1): 1-33.

Gopalan, R., Nanda, V. and Seru, A. (2005). ‘Do Business Groups Use Dividends to Fund Investments?’, Olin

School of Business, Working Paper, Washington University.

Grullon, G. and Michaely, R. (2005). ‘Institutional Holdings and Payout Policy’, Journal of Finance, 60(3):

1389-1426.

Hotchkiss, E.S. and Lawrence, S. (2007). ‘Empirical Evidence on the Existence of Dividend Clienteles’,

Department of Finance, Working Paper, Boston College.

Jensen, M. (1986). ‘Agency Costs of Free Cash-flow, Corporate Finance and Market for Takeovers’, American

Economic Review, 76(2): 323-329.

98

Jeon, J., Lee, C. and Moffett, C.M. (2011). ‘Effects of Foreign Ownership on PayoutPolicy: Evidence from the

Korean Market’, Journal of Financial Markets, 14(2): 344-375.

Khanna, T. and Palepu, K. (2000). ‘Is Group Affiliation Profitable in Emerging Markets? An Analysis of

Diversified Indian Business Groups’, Journal of Finance, 55(2): 867-891. Kim, S., Sul, W. and Kang, A.S. (2010). ‘Impact of Foreign Institutional Investors on Dividend Payout Policy

in Korea: A Stock Market Perspective’, Journal of Financial Management and Analysis, 23(1): 10-26.

Kumar, J. (2004). ‘Does Ownership Structure Influence Firm Value? Evidence from India’, Journal of

Entrepreneurial Finance and Business Ventures, 9(2): 61-93.

La Porta, R., Lopez-de Silanes, F., Shelifer, A. and Vishny, R. (2000). Agency Problems and Dividend Policies

around the World, Journal of Finance, 55(1): 1-33.

Lin, C.H. and Shiu, C.Y. (2003). ‘Foreign Ownership in the Taiwan Stock Market- An Empirical Analysis’,

Journal of Multinational Financial Management, 13(1): 19-41.

Myres, S.C. and Majluf, N.S. (1984). ‘Corporate Financing and Investment Decisions When Firms Have

Information that Investors Do Not Have’, Journal of Financial Economics, 13(2): 187-221.

Short, H., Zhang, H. and Keasey, K. (2002). ‘The Link between Dividend Policy and Institutional

Ownership’, Journal of Corporate Finance, 8(2): 105-122.

Strickland, D. (1996). ‘Determinants of Institutional Ownership: Implications for Dividend Clienteles’,

Finance Department, Working Paper, Ohio State University.

99

Section I: Comparative Analysis between India and

China

An Empirical Analysis of Trade Liberalization between India &

China

Rahul Arora* and Sarbjit Singh@

* Senior Research Fellow (SRF-UGC) in Economics, Indian Institute of Technology Kanpur, Kanpur. India

Email: [email protected] @ Senior Research Fellow (SRF-UGC) in Economics,

Indian Institute of Technology Kanpur, Kanpur. India. Email: [email protected]

The motivation behind the present study is the ongoing talks in between India and China

for further trade liberalization and concerns about the future trade and investment

policies of both the countries. Recently, on August, 2012, both countries have decided to

set up a Joint Working Group (JWG) to address the trade and investment related issues.

Among the various policy issues, trade liberalization has been an important part of

foreign policy agenda for both the countries and the main stumbling block on the way of

trade liberalization is the restriction on imports. These restrictions can be in the form of

tariff or non-tariff barriers. The present study considered only the tariff barriers on goods

traded and attempted to estimate the potential benefit/losses if these barriers would be

completely eliminated in between India and China. The paper employs the WITS-SMART

simulation model (Under the SMART tool in WITS) to analyze the effect of tariff

reductions on revenue and welfare of both the countries. In the preliminary analysis,

different trade indicators have been calculated to assess the trade pattern of both the

countries. For simulations under the assumption of zero tariffs on imports from partner

country, only those products are considered in which other country has comparative

advantage. The results on different variables such as trade creation, trade diversion,

welfare effect, consumer surplus and change in tariff revenue have been estimated and

presented for both the countries. The results depict that the liberalization effort from the

100

Indian side create more trade than the liberation effort from the other side. Particularly,

Indian imports from China have been increased more than the increase in imports of

China due to their own liberalization efforts. Further, the figures on trade diversion effect

shows that Indian trade has been diverted more towards China as compared to the

diversion of Chinese trade towards India because of their own policy efforts. Moreover,

the loss in tariff revenue is again greater in case of India due to the effort of trade

liberalization with China. The loss in tariff revenue is supported by the positive

relationship between the imports of a country and loss in tariff revenue under the policy

of zero tariffs.

Keywords: India-China Trade, Trade Liberalization, SMART Analysis.

JEL Classifications Code: F13, F14, F47.

References

Amjadi A., Schuler, P., Kuwahara, H. and Quadros, S. (2011). User Manual, World Integrated Trade

Solutions (WITS), World Bank, Washington, DC.

Mathur, S.K. (2012). ‘Trade in Climate Smart Goods and other Specialized Products of Ecuador’, Ventus

Publishing ApS.

Mikik, M. and Gilbert, J. (2009). ‘Trade Statistics in Policy Making: A Handbook of Commonly Used Trade

Indices and Indicators’, ESCAP, UN.

Othieno, L. and Shynyekwa, I. (2011). ‘Trade, Revenue and Welfare Effects of the East African Community

Custom Union Principle of Assymtry on Uganda: An Application of WITS-SMART Simulation

Model’, Research Series no. 79, Economic Policy Research Centre, Uganda.

World Trade Report (2011). ‘The WTO and Preferential Trade Agreements: From Co-Existence to Coherence’,

World Trade Organization (WTO).

101

Structural Changes in Commodity Composition of India’s Trade

with China Since 1991

Dr. Rajiv Kumar Bhatt* and Rajni Kant Ojha@

* Associate Professor, Department of Economics, Banaras Hindu University, India

E-mail: [email protected] @ Research Scholar,

Department of Economics, Banaras Hindu University, India E-mail: [email protected]

In recent years, bilateral trade and investment between India and China are growing fast,

indicating the existence of a vast potential for economic cooperation. The

complementarities exist between India and China, particularly in imports from China in

electrical and electronics goods, chemicals and silk products. There are limited

complementarities of Indian exports to China. Both countries are developing closer

economic relations with each other and with the rest of the Asian countries through

bilateral and regional agreements.

India and China are the economic powers of the Asian region. For sustainable

development of the world and Asian economies, China and India should be integrated

with the Asian economy and simultaneously with the rest of the world. Open regionalism

and trade cooperation between the world’s two largest developing economies can foster

outward-oriented development and intraregional trade based on comparative advantage

and complementarities. The bilateral trade between India and China is increasing at rapid

growth rate and Indo-china two-way trade has crossed $ 59465.20 million in 2010-11.

India’s export to China $ 19247.20 million and import from China reached to $ 40128.0

million. Both the countries are considering the conclusion of bilateral trade agreement to

enhance trade. So, we can say that there is a huge growth in the volume of India’s trade

with China since 1991. In the year 1991, the Indian Government adopted the policy of

globalization and economic liberalization which as a result of it, India’s exports to China

has increased significantly after 1991.

102

We have compared the exports of top fifteen commodities in the years of 1991-92, 2000-01

and 2010-11 to examine the structural change in the commodity composition of India’s

export to China. This shows that iron-ores, slag and ash remain the major components of

Indian exports to China. Cotton and residuals, wastes of food industries, animal fodder,

Iron and steel, plastics and articles, organic chemicals have emerged as major products in

Indian exports to China. Organic chemicals though remain a major product of export to

China but its export growth rate is less than the overall growth rate of Indian exports to

China. Both iron and steel and plastics and articles have increasing share in Indian

exports to China. Share of plastics and articles in 2010-11 is 8 per cent. The Iron and Steel

sector emerged as the major product group in export to China. These compositional

changes in Indian export basket to China clearly indicate a shift from primary and natural

resource based manufacturing products to low and medium technology manufacturing

products.

We have also compared the imports of top fifteen commodities in the years of 1991-92,

2000-01 and 2010-11 to examine the structural change in the commodity composition of

India’s import from China. Salt, sulphur, earths and stone with 21.29 per cent was in the

top position in 1991-92 followed by mineral fuels & mineral oils and silk but in 2010-11,

electrical machinery, & equipment occupied the first position with 27.27 per cent, nuclear

reactors boilers machinery, organic chemicals, project goods etc. are other major items of

India’s imports. From the analysis, it is clear that during the period of 1991-91, 2000-01

and 2010-11, there is significant change in commodity composition of India’s trade with

China.

Study shows that the structure of commodity composition of India’s export to China and

import from China through Spearman Rank Correlation (SRC) coefficient did not

undergo change between 1995-96 and 2001-02 where SRC was 0.68 and 0.66. But there is

a significant change in commodity composition of India’s trade with China during 1995-

96 to 2010-11 where SRC is 0.08 for India’s export to China and 0.01 for India’s import from

China.

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In this paper an attempt is made to analyze the trends and patterns of India’s trade with

China since 1991.The paper has covered following aspects of India-China trade – first,

trends of India’s trade with China since 1991, second, Commodity composition of India’s

trade with China since 1991, third, Structural Change in commodity composition of India’s

trade with China through SRC and fourth is Conclusion & suggestions.

Key Words: India, China, trend, commodity composition, trade, SRC.

References

Athwal, Amardeep (2008). ‘China–India Relations Contemporary dynamics’, Routledge 2 Park Square,

Milton Park, Abingdon, Oxon

Batra,Amita and Khan, Zeba (August 2005). ‘Revealed Comparative Advantage: An Analysis for India and

China’, Working Paper No. 168, Indian Council for research on International Economic

Relation(ICRIER) New Delhi.

Bhat, T.P. (2011). ‘Structural Changes in India’s Foreign Trade’, ISID, New Delhi

Bhat, T.P.; Guha, Atulan and Paul, Mahua (2006). ‘India and China in WTO-Building Complementarities

and Competitiveness in External Sector’, Report of Planning Commission, Govt. of India, ISID, New

Delhi

Bhattacharya, Biswa N. and De, Prabir (2005). ‘Promotion of Trade and Investments between China and

India: The Case of Southwest China and East and Northeast India’, CESifo Working Paper No. 1508,

Category 7: Trade Policy

Bhattacharya, Swapan K. and Bhattacharya, Biswa N. (April 2007). ‘Gains and Losses of India-China Trade

Cooperation- A Gravity Model Impact Analysis’, CESifo Working Paper No. 1970, Category 7: Trade

Policy.

Chai, Joseph C.H. & Roy, Kartik C. (2006). ‘Economic Reform in China and India: Development experience

in a Comparative Perspective’, Edward Elgar Publication, Cheltenham, UK & Northampton, USA

Christopher, J Rusko & Karthika, Sasikumar (2007). ‘India and China: From Trade to Peace?’, Asian

Perspective, 31(4), 99-123.

Gang, Zhou (2008). ‘Current China–India Relations and Economic Cooperation’, China Report, 44(1), Sage

Publication, Los Angeles/London/New Delhi/Singapore, pp 41-46.

Kalirajan, Kaliappa & Singh, Kanhaiya (2008). ‘A Comparative Analysis of China’s and India’s Recent Export

Performances’, Asian Economic Papers,

Kochak, Anjani K. (2006). ‘Development Indices: A Comparative Study of India and China’, China Report,

Vol. 42:1 (2006), Sage Publication, New Delhi/Thousand Oaks/London, pp 57-68.

Panagariya, Arvind. (2006). ‘India and China: Trade and Foreign Investment’, Columbia University, New

York.

Pillani, Rajesh K (2010). ‘Indo-China Trade: trends, Composition and Future’, Journal of Applied Economics,

V -2/ (12), 129-137.

104

Srinivasn, T.N. (2004). ‘China and India: economic performance, competition, and cooperation: An update’,

Journal of Asian Economics, 15 (2004), 613–636

Srinivasn, T.N. (2004). ‘China, India and the World economy’, Working Paper no. 286, Stanford Center for

International Development, Stanford University, Stanford, California.

Wu, Yanrui and Zhou, zhangyue (2006). ‘Changing bilateral trade between China and India’, Journal of

Asian Economics, 17, 509-518

105

Section J: Trade Policy

Counter-Cyclical Payments under Doha Negotiations: An Analysis

of USA Subsidy

Sachin Kumar Sharma

Assistant Professor/ Consultant Centre for WTO Studies,

Indian institute of foreign trade New Delhi

Email: [email protected]

Agricultural trade has always been and continues to be one of the most sensitive trade

issues in recent negotiations under Doha Round. This round mandated a development

round and recognizes the need for special and differential treatment for developing and

least developing countries (LDC). However, recent agriculture negotiations suggest that

Doha Development Round has explicit agenda for the development of rich countries at

the cost of millions of poor and resource less farmers in developing and least-developing

countries. Over the last ten years, various draft modalities on agriculture negotiations

shows that many provisions were crafted for the developed countries, so that these

countries continue to enjoy artificial comparative advantage in agricultural goods and

therefore, dilute the development agenda of Doha round. One of the most contentious

issues in agriculture negotiations is the Counter Cyclical Payment programme (CCP) of

USA. The issue of CCPs in Doha Round has emerged as USA seeks to put this trade

distorting subsidy under blue box rather than under amber box. For this purpose, USA

seeks to broaden the definition of blue box. However, this policy change will undermine

the main objective of Agreement on Agriculture (AoA) as well as of Doha Declaration

(Para 13, WT/MIN (01)/Dec/1) i.e. to establish a fair and market-oriented agricultural

trading system. With this background, the main objective of this study is to critically

examine the various aspects of CCPs in the context of USA commitment under

Agreement on Agriculture (AoA) and future obligations under recent Doha round

Negotiations.

106

Key Words: Subsidy, Blue Box, counter-cyclical payments, Doha negotiations, WTO

notifications

JEL Classification Code: F 51, Q17, Q 18

References

Anton, J., and C. Le Mouel. (2004). ‘Do Counter-cyclical Payments in the 2002 US Farm Act Create

Incentives to Produce?’, Agricultural Economics, 31. 2-3: 277-84.

Basco, C., I. Buccellato, V. Delich, and D. Tussie. (2003). ‘Implications of the Shift in United States Farm

Policy’, CEPAL Review, 81: 137-149.

Bullington Elizabeth (2005). ‘WTO Agreements Mandate That Congress Repeal the Farm Bill of 2002 and

Enact an Agriculture Law Embodying Free Market Principles’, American University International

Law Review, 20(6)

Chavas, J., and M. T. Holt. (1990). ‘Acreage Decisions under Risk: The Case of Cotton and Soybeans’,

American Journal of Agricultural Economics, 72(3): 529-538.

Daniel.a.Sumner (2006). ‘Effects of U.S. Upland Cotton Subsidies on Upland Cotton Prices and Quantities’,

Web link http://aic.ucdavis.edu/research1/Sumner_WTO_Cotton.pdf.

Das Abhijit and S.K.Sharma (2011). ‘Evolution of WTO agriculture modalities’, Occasional paper no.1, Centre

for WTO Studies Publication.

OECD Report (2010). ‘Agricultural Policies in OECD Countries 2010 at a Glance’, OECD Publication.

Oxfam briefing note (2005), ‘From Development to Naked Self-Interest: The Doha Development Round has

lost its way’, Oxfam Publication.

Oxfam Briefing Note. 2008. ‘Square Pegs in Round Holes: How the Farm Bill Squanders Chances for a Pro-

Development Trade Deal’, Oxfam publication.

Oxfam briefing paper (2009). ‘Empty promises: what happened to ‘development’ in the WTO’s Doha

Round?’, Oxfam international publication.

Ratna, R.S., Abhijit Das and S.K.Sharma(2011). ‘Doha Developemnt Agenda for Developed nations:

Carveouts in recent agriculture negotiations’, Discussion paper no.8, Centre for WTO Studies

Publication.

Westcott C. Paul (2005). ‘Counter-Cyclical payments Under the 2002 Farm Act: Production Effects Likely to

be Limited’, in CHOICES, published by American Agricultural Economics Association, 3rd Quarter

20(3)

Westcott, Paul C., C. Edwin Young, and J. Michael Price (2002). ‘The 2002 Farm Act: Provisions and

Implications for Commodity Markets’, Agriculture Information Bulletin No. 778, U.S. Department of

Agriculture, Economic Research Service, 2002,

www.ers.usda.gov/publications/aib778/aib778ref.pdf

WTO (2008). ‘Revised Draft Modalities for Agriculture’, Committee on Agriculture Special Session’,

Document No. TN/AG/W/4/REV.4

WTO Dispute DS267, ‘United States — Subsidies on Upland Cotton’ web link http://www.wto.org/english/tratop_e/dispu_e/cases_e/ds267_e.htm

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Section K: Impact of Microfinance on the Poor

Measuring the Impact of Microfinance on Poverty: A Cross Country

Analysis with Special Reference to India

Arindam Laha and Pravat Kumar Kuri

University of Burdwan, India

The outreach of microfinance programme is considered to be a means enhance the

economic wellbeing among the member households through poverty alleviation. It is, in

fact, a well-designed institutional innovation to ensure a substantial flow of credit to

collateral poor households, who were often been excluded by the conventional financial

institutions. Undoubtedly, the potentiality of such programmes in enlarging the

opportunity of rural poor is conditioned upon its linkages to the poverty alleviation.

However, this causality is a complex process. There might be indirect channels by which

one reinforces the other. The process of microfinance outreach enables to create an

environment to provide better access to economic opportunities. To ensure equal access,

it is necessary to strengthen human capabilities to enable the people to qualify for

productive employment. The enhancement of economic opportunities through banking

inclusion has indirect effect upon the attainment of education and health opportunities

and this, in turn, enhance the capability.

Microfinance as an institutional intervention is widespread in developing world.

According to Microfinance Summit Campaign Report, 2012, out of 3652 microfinance

institutions, 1009 are found in operation in Sub-Saharan Africa, 1746 in Asia and the

Pacific, and 647 in Latin America and the Caribbean. Among the developing world, Asia

and the Pacific predominantly occupied a large client share of 82 percent, followed by

Latin America and the Caribbean countries (6.47 percent), Sub-Saharan African countries

(5.67 percent). In fact, Asia accounted for the majority of microfinance institutions,

retained the highest number of savings and credit, and served more members than any

other continent. More interestingly, microfinance programmes in Asia and Pacific

108

countries are found to be successful in extending its services to the poorest and women

sections of the population. It is evident that Asian and Pacific region retains more than 90

percent of the share in the number of poorest clients and number of poorest women

clients in comparison to the global trend.

Among the countries of South Asia, historically, Bangladesh dominates in terms of

microfinance outreach and share of total borrowers. The share of Bangladesh in total

number of active borrowers was 73.49 per cent in 2005 and maintained its supremacy for

a quite a long time. Interestingly, over the period of only six years, India achieved a

tremendous development in expanding the outreach of micro finance institutions. The

outreach and the share of total borrowers had increased from 18.64 per cent in 2005 to

76.25 per cent in 2011. Some other countries, viz. Afghanistan, Nepal, Pakistan and Sri

Lanka maintained a more or less constant share of borrowers in South Asia. A similar

trend is also visible in case of gross loan portfolio. Among south Asian countries, India is

thus emerging in a big way defeating Bangladesh in outreaching its microfinance

programme and thereby access to micro-credit to the member households. India, being

the largest market in South Asia, still lags in outreaching microfinance services to the

poor households. Despite the significant growth of microfinance institutions and its

active borrowers the penetration of microfinance lending services to the poor households

in the country is limited to only 8 percent in 2010 vis-à-vis 33 per cent in Bangladesh and

91 per cent in Sri Lanka .

Though, in India, microfinance institutions are emerging in a big way, there are

substantial regional variations in the outreach of microfinance institutions. A composite

index has been constructed using the penetration, availability and usage indicators of

microfinance outreach to examine the interstate variations in the level of its achievement.

Subsequently, attempt has been made to analyse the role of microfinance in alleviating

poverty across the states of India. The result shows that out of 27 states and Union

Territories, only in seven states (Kerala, Andhra Pradesh, Tamil Nadu, Goa, Himachal

Pradesh, Tripura and Karnataka) outreach of microfinance programme has made a

109

significant impact on the reduction of poverty. Interestingly, the southern region is

observed to be leading in the outreach of microfinance programme, followed by central,

northern, north-eastern and eastern regions.

Keywords: Microfinance, Poverty, Index of Microfinance Outreach among the Poor

Households

JEL Classification Code: G21, I32, O53, Z13.

References

Beck, T., A. Demirguc-Kunt and M.S.M. Peria (2006). ‘Finance, Inequality and the Poor’, Available at: www.tilburguniversity.edu/research/institutes.../financeinequality.pdf.

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Devi, K.S, Prabakar, C. and Ponnarsi, T (2011): ‘Impact of Microfinance Innovation in Pushing Back Rural Poverty in Tamil Nadu’, Indian Journal of Agricultural Economics, 66(3), July-September, 429-443.

Government of India (2012): Press Note on Poverty Estimates, 2009-10, Planning Commission, March 2012. Kuri, P.K. (2010), ‘Inclusive and Exclusive Development in India in the Post-reform Era’, in H. Bhattacharya, et al. (eds.) The Politics of Social Exclusion in India: Democracy at the Crossroads, Routledge

Publication, London and New York, pp. 86-100. Lapenu, C and Zeller, M (2001): Distribution, Growth and Performance of Microfinance Institutions in Africa,

Asia and Latin America, FCND Discussion Paper No. 114, IFPRI, June. NABARD (2008): Report of the Committee on Financial Inclusion, January 2008. -------------- (2011): Status of Microfinance in India, 2010-11, NABARD. Pande, R. (2004). ‘Can Rural Banks Reduce Poverty? Evidence from the Indian Social Banking Experiment’,

Available at: www.hks.harvard.edu/fs/rpande/papers/dobanksmatteraer_rr1.pdf. Srinivasan, N (2008): Microfinance India-State of the Sector Report, 2008, Sage Publications India Pvt. Ltd. ----------------- (2009): Microfinance India-State of the Sector Report, 2009, Sage Publications India Pvt. Ltd. Weiss, J, Montgomery, H and Kurmanalieva, E (2003): Micro Finance and Poverty Reduction in Asia: What is

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110

MFIs and poverty alleviation in India: Quo vadis?

Anand Saxena* and Ashis Taru Deb@

* Associate Professor Deen Dayal Upadhyaya College

University of Delhi E-mail: [email protected]

@ Associate Professor College of Vocational Studies

University of Delhi E-mail: [email protected]

Born out of the poor’s desperation in Bangladesh in 1970s, microfinance was a noble-prize

winning novel financial innovation, that is, Grameen Bank. By 2010, however, the industry

was facing its worst ever crisis, due largely to the developments in Andhra Pradesh where,

pushed by the pressure from the MFIs, over 200 borrowers committed suicide.

Commentators lamented the mission drift and hence the question quo vadis. Andrew

Hilton (2011), director of Centre for Studies in Financial Innovation, USA wrote:

A lot of people—well-meaning, thoughtful people who are in the microfinance industry

are now worried that microfinance has taken a wrong turn, that it has drifted away from

its original mission, that is had been co-opted (or even corrupted) by the pursuit of size

and profitability.... This is new and...it leaves microfinance and individual MFIs at a

‘tipping point.’ Will the industry continue to evolve—to grow, to offer new products, to

move up market—until it is essentially indistinguishable from conventional financial

institutions (banks, consumer finance companies, etc.)? Or will it rediscover its roots as a

more modest source of small-scale credit to a relatively limited market amongst lower-

income groups in generally poor countries?

The predicament of the MFIs comes alive dramatically in case of SKS Finance. The frantic

drive to scale up the operations around the time of its initial public offer (IPO) points to

the pitfalls of market based solutions to the problem of poverty. Overselling of debt,

practice of usury, arm twisting of the borrowers and the resultant suicides have given rise

111

to serious doubts about the efficacy of the MFIs in meeting the challenge of poverty in

India. Whereas the government of Andhra Pradesh shut down all the profit driven MFIs

in the state once hailed as the cradle of the industry, neoliberals view this act of the state

as resulting into the worst crisis for the microfinance industry in India, and the world.

It seems that in microfinance, the word finance has been emphasised far more than the

ideas of self-help, interpersonal solidarity and social engagement in search of solutions to

the common problems of the people outside the reach of the formal institutions of the

state or the market. The success of MFIs, in view of the presenters, shall ultimately be

dependent upon their ability to move bottom up rather than top down by the motives of

the impatient private equity funds and other investors. It is not that the industry has been

oblivious of these imperatives. The presenters note that the crisis of 2010 has triggered

soul-searching and several initiatives on account of client protection, transparency on

pricing of the microfinance products, corporate governance, business ethics and social

performance management are underway.

Any crisis pushes you behind. However, if you have the courage of conviction, nobility of

purpose and clear conscience you can indeed rise like a phoenix. However, alibis won’t

and shouldn’t work. There is a need to extend research beyond positive economics and

into the realms of normative economics and commerce.

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114

Small Business and Non-Institutional Credit: A Study in West

Bengal

Santanu Chakraborty

Acharya Prafulla Chandra College, New Barrack Pore, Kolkata, India

E-mail: [email protected]

This is a preliminary study looking at small business and non-institutional credit in West

Bengal from a primary survey. In this paper, I want to observe the role of non-

institutional credit in the development of small businesses. Volume of small business in

West Bengal is relatively large and non-institutional credit is deeply entangled with small

business in different modes and styles of operation. I have selected two urbanized

districts Kolkata and North twenty-four Parganas, which forms the core business area in

the state and I am looking at the forms and features of non-institutional credit markets be

fitting to the characters of small businesses across two districts.

The small business in India is highly heterogeneous in terms of the size, variety of

products and services and the levels of technology employed. Small businesses have a

critical role to play in enhancing export competitiveness given their very significant share

in exports. The Economic Survey, 2011-12 has stated that small business nurtures

entrepreneurial talent besides meeting social objectives including that of providing

employment to millions of people across the country.

Non-institutional credit refers to all credit transactions that take place outside authorized

banking and credit issuing systems. Within the non-institutional credit markets, some of

that date back for centuries, rooted in customs and tradition and yet are existent today in

India. Others constantly evolve in response to changing economic and social conditions,

sometime legal while sometime operating by avoiding the legal system (chit funds).

I have selected Kolkata, because it is the most important business center of East and

North-East India. A large section of the population of Kolkata depend on the small

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businesses like small shops, roadside hawkers, furniture making, electrical wiring, shoe

making, readymade garments and various kinds of activities such as services and order

supply. I have selected North twenty-four Parganas, due to its rapid urbanization and

closeness to Kolkata (55% of population in urban areas; Census, 2001). My Study area

comprises Burrabazar & Sealdah in Kolkata and Barasat-NewBarrackPore in North

twenty-four Parganas.

The study reveals five forms of non-institutional credit system, such as trading credit

arrangement, unregistered chit fund, traders’ association, individual moneylendig system

and hundi system, each feature of its own. Small businesses favor non-institutional credit

markets, because of certain advantages, such as low transaction cost, spontaneity and

flexibility, mutual trust, unique record keeping system and acceptance of flexible

collateral.

I used a static partial equilibrium model with high risk and low risk small wholesalers to

assess the trading credit. It shows that the demand for trading credit of the low risk small

wholesaler is greater than that of the high-risk small wholesaler at any price. Desirability

of issuing trading credit by large wholesaler have influenced by nine factors such as

mutual trust, presence of brokers, good behavior, regular and timely repayment prior to

trading credit, time of repeated cash transactions, money value of creditable commodity,

reputation in the market, presence in personal occasions and third party guarantee.

Using a logit model, it shows how these factors play a critical role in determining the

desirability of issuing trading credit.

Existence of urban non-institutional credit markets in developing countries focused by

existing literatures. Using primary data generated in West Bengal, this study has

attempted to provide a broader understanding of the workings of these markets in West

Bengal in the development of small businesses in West Bengal. The terms and conditions,

type and volume of loans significantly differ from district to district. However, small

businesses of West Bengal totally depend on the non-institutional credit markets of West

Bengal.

116

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117

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118

Role of POSB in Delivering Rural Credit (Micro) in India

Amlan Ghosh

IBS Hyderabad

Financial inclusion of un-served people is a major issue today in India. The un-served or

the excluded are poor people mostly rural and unorganised, hence commercially

insignificant. Unless we include this unorganised sector into our developmental process

the whole development would be jeopardized. Since the opening up of the economy and

reforms in the banking sector in India, rural finance is in back foot. The focus has shifted

primarily to earn more profit than to serve the social banking need of the masses which

was the main objective behind the nationalization of banks in 1969. As a result the

numbers of bank branches in rural areas are declining and employee per branches as well.

Banks are now more focused to service the section of population that they deem

profitable, other than stipulated priority sector lending which are regulated by the RBI.

Due to the shift in the policy level from social banking to core commercial banking, there

is a wide spread believe that viable financial inclusion in the rural areas or in the

unorganized sector is better achieved through alternative channels such as micro credit

through Micro Finance Institutions (MFIs) or Non Government Organisation (NGOs) or

credit (micro) through Self Help Groups (SHGs).

But if we look at the share of these credit to total rural credit disbursed by the schedule

commercial banks (only 3.7%) we will be able to find out that there is a huge gap between

the demand and supply of rural credit (micro) in India.

Few MFIs has already rolled out their products for individual borrowers and others are in

pilot state and preparing to launch such products. But they charged exorbitant interest

rates for their products and it is found that the people fall into the debt trap and

sometimes they commit suicides too. Recently the state of Andhra Pradesh has come up

with their own laws to regulate MFIs in their state. MFIs in India can’t accept deposits

and on the other hand NBFC can’t extend loan facilities to the retail customers as MFIs

119

do. The recent report of Malegam Committee has suggested creating a new structure,

NBFC-MFIs to deliver the micro credit to the poor. This would once again lead to create

another institution in the market with new regulations.

This paper examines the problems of formal banking in providing (micro) credit to the

poor of rural areas along with the present reach of MFIs in India in the present era and

finds that the Post Office Savings Bank (POSB) of India Post can play a pivotal role in

providing micro credit to the poorest of poor by performing itself as a micro finance

institution.

This paper tried to study the emerging role of POSB in the near future as a complete

financial institution in India as the India Post has the largest postal network in the world

of which 90% are in the rural areas. It has more than double the number of branches of

all the commercial banks operating in India. None of the financial institution has such a

big network to reach to the bottom of population as the India Post has.

The study also shows that the cost of funds would be cheaper in case of POSB than the

MFIs working in India and is quite align with the recommendations of the Malegam

Committee.

We do not need to create another new institution such as NBFC-MFIs as suggested by the

Malegam Committee; instead we can use the existing infrastructure of POSB in India in

delivering credit to the poor through the formal sector. Proper management and policy is

solicited from the Department of Post to serve the credit needs of the rural poor in India

and India Post can become the ultimate touch point for the India Public.

120

Section L: Testing Trade Theories

A Model of Commodity Prices after Sir Arthur Lewis Revisited

Atanu Ghoshray* and Ashira Perera@

* Department of Economics, University of Bath, UK @ School of Economics, University of Nottingham, UK

This paper builds on the work of Deaton and Laroque (2003) by formulating a nonlinear

model of commodity prices. The paper makes three distinct contributions. First, a

nonlinear model is constructed that explains long-run dynamics of commodity price

behaviour. We posit that the change in supply being responsive at a constant proportion

of the deviation of price from marginal cost is a restrictive assumption. One would expect

the supply changes to be very small when price is marginally higher than marginal cost.

However the change in supply is more responsive when price deviates to a greater extent

from marginal cost. Moreover, suppliers, especially in developing countries, do not have

precise information regarding the market. It is likely that they will base their expectations

of price in the current period on what prices were in the previous period. This leads us to

modify the supply equation proposed by Deatona and Laroque (2003) and put forward a

nonlinear supply equation. This leads to reduced form price equations that are nonlinear.

Secondly, more recent data is employed by updating the price, income and production

indices. The data set in this study updates the popular Grilli Yang Index due to Grilli and

Yang (1988) and extends the data from 1987 to 2008. Finally, advanced econometric

techniques are adopted in order to investigate whether there is empirical evidence to

support the theoretical underpinnings of the nonlinear model. Since we propose a

nonlinear model, this paper employs a test for unit roots under the null hypothesis

against the alternative hypothesis of nonlinear Exponential Smooth Transition Auto

Regressive (ESTAR) adjustment designed by Kapetanios, Shin and Snell (2003). Elliot et.

al. (1996), derive a more powerful GLS detrending/demeaned based test in the context of

linear unit root tests. In a more recent paper, Kapetanios and Shin (2008) extend the GLS

detrending/demeaned procedure to test for unit roots allowing ESTAR adjustment

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concluding that the GLS based unit root tests are more powerful than the OLS alternative

due to Kapetanios, Shin and Snell (2003). These higher power tests broadly reverse the

empirical findings of Deaton and Laroque’s (2003) model of commodity prices, lending

support to the underlying model proposed in this paper. Tests for cointegration provide

evidence that the long-run relationship between world commodity production and world

income for key commodities such as sugar, copper, and tin may be better explained by

non-linear behaviour.

Keywords: Commodity prices; Lewis Model; Cointegration, ESTAR.

JEL Classification Codes: E3; F1; O1

References

Balagtas, J. and M. Holt., (2009). ‘The commodity terms of trade, unit roots and nonlinear alternatives: a smooth transition approach’, American Journal of Agricultural Economics, 91, 87–105.

Bond, M. (1983). ‘Agricultural Responses to Prices in Sub-Saharan African Countries. IMF Staff Papers, 30(4), 703 – 726.

Cashin, P., Cespedes, L. F., and Sahay, R., (2002). ‘Keynes, cocoa and copper: In search of commodities currencies’, IMF Working Papers, No.02/223.

Deaton, A. (1999). ‘Commodity Prices and Growth in Africa’, Journal of Economic Perspectives, 13(3), 23-40. Deaton, A., and Laroque, G. (2003). ‘A model of commodity prices after Sir Arthur Lewis’, Journal of

Development Economics, 71(2), 289-310. Deaton, A., and Laroque, G. (1996). ‘Competitive Storage and Commodity Price Dynamics’, Journal of

Political Economy, 104(5), 289-310. Deaton, A., and Laroque, G. (1992). ‘On the Behavior of Commodity Prices’, Review of Economic Studies,

59(1), 1-23. Dickey, D. A. and Fuller, W. A. (1979). ‘Distribution of the estimators for autoregressive time series with a

unit root’, Journal of the American Statistical Association, 74, 427-431. Dickey, D. A. and Fuller, W. A., (1981). ‘Likelihood ratio statistics for autoregressive time series with a unit

root’, Econometrica, 49, 1057-1072. Elliot, G. E., Rothenberg, T. J. and Stock, J. H. (1996). ‘Efficient Tests for an Autoregressive Unit Root’,

Econometrica, 64(4), 813-836. Enders, W. (2004). ‘Applied Econometric Time Series’, 2nd ed. New Jersey: John Wiley & Sons, Inc. Engle, R. F. and Granger, C. W. J. (1987). ‘Cointegration and Error Correction: Representation, Estimation

and Testing’. Econometrica, 49(2), 251-276. Ghoshray, A. (2011). ‘A Reexamination of Trends in Commodity Prices’, Journal of Development Economics.

95(2), 242 – 251. Grilli, E. R., and Yang, M. C. (1988). ‘Primary Commodity Prices, Manufactured Goods Prices, and the Terms

of Trade of Developing Countries: What the Long Run Shows’, The World Bank Economic Review, 2(1), 1-47.

H.M. Treasury. Annex A: How to use the GDP deflator series: Practical examples [online]. http://www.hm-treasury.gov.uk/data_gdp_annex.htm. [Accessed 10 August 2009].

122

Harvey, D.I., N. Kellard, J. Madsen, and M.E. Wohar. (2010). ‘The Prebisch–Singer Hypothesis: Four Centuries of Evidence’. Review of Economics and Statistics.

International Monetary Fund, (2009). World Economic Outlook: Crisis and Recovery, Washington: International Monetary Fund. http://www.imf.org/external/pubs/ft/weo/2009/01/pdf/text.pdf. [Accessed 17 August 2009].

Kapetanios, G., and Shin, Y. (2008). ‘GLS Detrending-based Unit Root Tests in Nonlinear STAR and SE-TAR Models’, Economics Letters, 100(3), 377–380.

Kapetanios, G., Shin, Y. and Snell, A. (2003). ‘Testing for a unit root in the nonlinear STAR framework’, Journal of Econometrics, 112, 359-379.

Kapetanios, G., Shin, Y. and Snell, A. (2006). ‘Testing for Cointegration in Nonlinear Smooth Transition Error Correction Models’, Econometric Theory, 22(2), 279-303.

Kellard, N., and Wohar, M. E. (2006). ‘On the prevalence of trends in primary commodity prices’, Journal of Development Economics, 79(1), 146-167.

Leon, J. and Soto, R., (1997). ‘Structural breaks and long-run trends in commodity prices’, Journal of International Development, 9(3), 347-366.

Lewis, A. (1954). ‘Economic development with unlimited supplies of labor’. Manchester School of Economic and Social Studies, 22(2), 139-191.

MacKinnon, J. (1991). ‘Critical values for cointegration tests’, In Long-Run Economic Relationships, Engle R., Granger, C. (eds). Oxford: Oxford University Press.

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Pfaffenzeller, S., Newbold, P. and Rayner, A. (2007). ‘A Short Note on Updating the Grilli and Yang Commodity Price Index’, The World Bank Economic Review, 21(1), 151-163.

123

The Structure of factor content of India’s Trade with Sri Lanka

Chandrima Sikdar* and Debesh Chakraborty@

* Associate Professor, School of Business Management,

Narsee Monjee Institute of Management Studies, Mumbai Email: [email protected]

@ Former Professor, Department of Economics,

Jadavpur University, Kolkata, India. Email: [email protected]

Large numbers of studies in recent times have tried to test the Hecksher-Ohlin theory for

India’s foreign trade. The present study attempts a similar exercise with respect to India’s

bilateral trade with Sri Lanka. India- Sri Lanka Free Trade Agreement (ISFTA) operational

since 2000 has been a landmark in the economic as well as political ties between the two

economies. It is now twelve years since this FTA has been operational and both the

countries have fully implemented the tariff concessions committed by each of them. As a

result, the bilateral trade between these economies during this period has reached new

heights and dimensions.

With increasing integration of countries across the world there has been stupendous rise

in intermediate trade flows across boundaries and production networks in trade patterns

have assumed a pivotal role. As a result pattern of trade flows between countries have

often been found to be dictated by trade policies and pattern of technology transfer

rather than by resource endowment and factor content of trade of respective countries.

India- Sri Lanka too has been no exception to this. Such increase in intermediate trade

flows and production networks have often led to the idea that concept of comparative

advantage is possibly not relevant for trade policy anymore. Trade patterns are argued to

be no longer determined by resource endowment and factor content of trade of respective

countries.

124

In fact, as far as India- Sri Lanka are concerned, in the post FTA period, the growth in

exports from either side of these two South Asian countries was noted in products, many

of which were not major export earners for either country prior to the implementation of

the ISFTA. So these products became commercially viable only following the

implementation of the free trade agreement.

Against this backdrop, the present paper examines whether the factor intensity of this

bilateral trade has been in conformity with the pattern of comparative advantages of

India as is determined from the country’s factor endowment. The paper uses the GTAP 7

database to test the Hecksher Ohlin theory empirically for India’s bilateral trade with Sri

Lanka. For doing this, the present paper has evaluated three indexes: Leontief, Leamer

and Reimer/Trefler.

Key Words: Factor content, Leontief paradox, Leamer, Trefler, Bilateral trade, India-Sri-

Lanka

JEL Classification Codes: F1, F14

References

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Baldwin, R.E. (1979). ‘Determinants of trade and foreign investment: further evidence’, Review of Economics and Statistics, 61, 40-8.

Bowen, H., Leamer, E.E. & Sveikauskas, L. (1987). ‘Multicountry, multifactor tests of the factor abundance theory’. American Economic Review, 77, 791-809.

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Foreign Trade’, paper presented at the 17th International Input-output Conference in Sao Paulo, Brazil, July 13-17, 2009

Davis, D.R. & Weinstein, D.E.(2001). ‘Do Factor Endowments Matter for North-north Trade?’, NBER Working Paper Series, 8516, Massachusetts, Cambridge

Deardorff, A.V. (1982). ‘Testing Trade Theories and Predicting Trade Flows’, In Handbook of International Economics, Vol 1, ed. By R.W.Jones and P.B. Kenen. Amsterdam: North Holland.

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Programme’, Research and Information System for the Non-Aligned and Other Developing Countries, New Delhi.

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126

Trade Balance & Real Exchange Rate: An Empirical Analysis of

Multilateral and Bilateral Relationship.

Suranjali Tandon

Research Associate at NIPFP, Delhi and a PhD student of JNU

The central theme of the paper is to dwell on the causes and effects of changes in

exchange rate. The paper tries to empirically test whether there are changes in price

levels as a consequence of a movement in domestic nominal exchange rate; and the

repercussion of all changes in real exchange rate on exports, import and trade balance.

Firstly the movements in NEER and REER are analysed country-wise to see if domestic

prices respond instantly or over a period of time to changes in NEER. For the purpose of

estimation a set of countries selected on the basis of specific criteria (Austria, Brazil,

China, Denmark, France, Germany, Italy, Japan, Malaysia, Mexico, Norway, Netherlands,

Philippines, Singapore, Switzerland and United Kingdom) were separated as per region

and further, as per income, currency unions etc., into separate panels for the period 1980-

2010. Once the relationship between trade balance and real effective exchange rate is

estimated the paper further delves into the significance of bilateral real exchange rates in

explaining bilateral trade for the same period. Five major trading partners (China, France,

Japan, Mexico and Republic of Korea) of United States were selected to see if the

relationship holds true between bilateral rate of exchange and trade.

The regional analysis illustrates real effective exchange rate not only affects the countries

within a currency union differently, as compared to those peripheral to the union but

there is also inter country differences within the union. While explaining the relationship

for Asia the countries were grouped separately due to differences in income (as per World

Bank’s definition). Separate panels were constructed within each region to analyse the

effect of real exchange rate. There is evidence of an impact of real exchange rate on the

trade balance in Asia and Latin America; though there are country differences in high

income Asia and Latin America. Thus for all these countries relative strength of domestic

currency vis-à-vis all major currencies is a major determinant of its total external position

127

on goods. The processes of adjustment suggest value and volume changes among a set of

countries.

There are some countries where an appreciation of domestic currency leads to an erosion

of competitiveness, whether gradual or instantaneous, of exports like Japan, Brazil, France

and China. There are others where there is little evidence of such deterioration suggesting

that there are no volume adjustments.

Responses of imports are also regionally different. There is evidence for an appetite for

imports during periods of appreciation in Netherlands, Austria, Switzerland, Denmark,

Norway, Mexico, Philippines, Singapore, Malaysia and China. The results corroborate

theory and only for China are increases in imports due to an appreciation reversed in the

subsequent year.

For bilateral trade and real exchange rate, the results for all countries except Korea point

in the direction of no significant impact on the net position on trade. China’s exports to

US are sensitive to changes in real exchange rate and any appreciation leads to a

deterioration of its export competitiveness. Japan’s exports respond instantly, that is

within a year but suggest no volume adjustments. Korean exports and imports increase in

dollar value due to an appreciation of the exchange rate however, subsequently the

exports decline in response to deterioration of competitiveness i.e.an appreciation. France

and Mexico’s merchandise trade with US is not determined by movements in their real

exchange rates. The lack of response for France is due to regional integration and lack of

dependence on US for its trade and for Mexico it may be other factors such as common

borders and trade agreements.

JEL Classification Codes: F: International Economics F1: Trade F14: Empirical Studies of

Trade

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128

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correction model’, Review of Economics and Statistics, 75, 700-706. Coes, Donald V. (1981). ‘The Crawling Peg and Exchange Rate Uncertainty’, in John Williamson (ed.),

Exchange Rate Rules (New York: St. Martins, 1981). Corsetti, Giancarlo, and Gernot Minier (2006). ‘Twin Deficits: Squaring Theory, Evidence and Common

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130

Section M: International Spillovers of Volatility,

Vulnerability & FDI

Return and volatility spillover among the PIIGS Economies & India

Dilip Kumar* and S. Maheswaran@

* Research Scholar Institute for Financial Management and Research

24, Kothari Road, Nungambakkam, Chennai, India. Email: [email protected]; [email protected].

@ Professor Centre for Advanced Financial Studies

Institute for Financial Management and Research 24, Kothari Road, Nungambakkam, Chennai, India

Email: [email protected].

The PIIGS economies (Portugal, Ireland, Italy, Greece and Spain) are at the center of

study worldwide due to the current European debt crisis. The PIIGS countries have

experienced similar economic conditions and financial problems over the past several

years. The constituent countries of the PIIGS economies have common high levels of

government debt, recently low GDP, high public-spending, high unemployment, high

labor costs, financial sector problems and an inability to deal with debt. The debt

problem in the PIIGS economies and other European economies is likely to remain a

concern in the future also.

A significant portion of India's export goes to the PIIGS economies in the form of IT

services, consumer durables and pharmaceuticals. The slowdown in the PIIGS economies

has also moderated capital flow into India. The adverse impact of the debt crisis in

Europe has created an environment of uncertainty that has a bearing on the Indian

economy, too. The European debt crisis is limited in scope to not just Europe but has a

spillover effect around the globe affecting the financial health of developed and

developing economies. The inter linkages of stock markets around the globe is of great

importance to market participants. Due to globalization of financial markets around the

131

globe, the impact of market shocks originating in one economy is not limited to the local

market but may spread to other economies that have economic or trade links with the

shock originator.

The central aim of this paper is to examine the dynamic first and second moment

interactions among the stock markets from the PIIGS economies (Portugal, Ireland, Italy,

Greece and Spain) and India using the vector autoregressive multivariate exponential

GARCH (VAR(1)-MVEGARCH) model. It attempts to analyze the lead-lag relationships

among the stock markets of the PIIGS economies and India. We also examine the upside

and downside risk spillover effect from PIIGS economies to India and vice versa. The

multivariate analysis provides evidence in support of return and volatility spillover from

Greece to India. Furthermore, we apply the vector autoregressive bivariate exponential

GARCH (VAR(1)-BVEGARCH) model to examine the interrelationship between India and

the stock markets from the PIIGS economies. The bivariate analysis also provides

evidence in support of return and volatility spillover from Greece to India. Moreover, the

results provide evidence in support of return spillover from Spain and Italy to India and

vice versa and volatility spillover from Portugal to India. The significant value of the

asymmetry coefficient (δi from EGARCH model) for Portugal, Ireland, Spain and India

supports the contention that both the size and the sign of innovations are important

determinants of volatility spillover across these markets. We also find that except Italy, all

other markets from PIIGS economies are showing significant upside risk spillover to

India. In addition, Italy, Greece and Spain are showing significant downside risk spillover

to India.

Keywords: Return spillover, Volatility spillover, VAR-MVEGARCH model, PIIGS

economies

References

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Bartram, S., Taylor, S. and Wang, Y. (2007). 'The euro and European financial market integration'. Journal of Banking and Finance, 31, 1461–81.

Beirne, J., Caporale, G. M., Ghattas, M. S. and Spagnolo, N. (2010). 'Global and regional spillovers in

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emerging stock markets: A multivariate GARCH-in-mean analysis'. Emerging Markets Review, 11(3), 250-260.

Berndt, E.K., Hall, H.B., Hall, R.E., Hausman, J.A. (1974). 'Estimation and inference in nonlinear structural models'. Annals of Economic and Social Measurement, 4, 653–666.

Billio, M. and Pelizzon, L. (2003). 'Volatility and shocks spillover before and after EMU in European stock markets'. Journal of Multinational Financial Management, 13, 323–40.

Booth, G. G., Martikainen, T. and Tse, Y. (1997). 'Price and Volatility Spillovers in Scandinavian Stock Markets'. Journal of Banking and Finance, 21, 811-823.

Engle, R. F. and Ng, V. K. (1993). 'Measuring and Testing the Impact of News on Volatility'. Journal of Finance, 48, 1749-1778.

Fratzscher, M. (2002). 'Financial Market Integration in Europe: on the effects of EMU on Stock Markets'. International Journal of Finance and Economics, 7(3), 165-193.

Hamao, Y., Masulis, R.W., and Ng, V. (1990). 'Correlations in Price Changes and Volatility across International Stock Exchanges'. The Review of Financial Studies, 3 (2), 281-307.

Hardouvelis, A., Malliaropulos, D. and Priestley, R. (2006). 'EMU and European stock market integration'. Journal of Business, 79, 365–92.

Kanas, A. (1998). 'Volatility spillovers across equity markets: European Evidence'. Applied Financial Economics, 8, 245-256.

Karolyi, G. (1995). 'A multivariate GARCH model of international transmission of stock returns and volatility: the case of the United States and Canada'. Journal of Business and Economic Statistics, 13, 11-25.

Kim, J. S., Moshirian, F. and Wu, E. (2005). 'Dynamic stock market integration driven by the European Monetary Union: an empirical analysis'. Journal of Banking and Finance, 29, 2475–502.

Koutmos, G. (1996). 'Modeling the dynamic interdependence of major European stock markets'. Journal of Business, Finance, and Accounting, 23, 975-988.

Lee, S. J. (2009). 'Volatility spillover effects among six Asian countries'. Applied Economics Letters, 16 (5), 501-508.

Mukherjee, K. N. and Mishra, R. K. (2008). 'Stock Market Integration and Volatility Spillover: India and its Major Asian Counterparts'. Research in International Business and Finance, 24(2), 235-251.

Savva, C., Osborn, D. and Gill, L. (2009). 'Spillovers and correlations between US and major European stock markets: the role of the euro'. Applied Financial Economics, 19(19), 1595-1604.

Singh, P., Kumar, B. and Pandey, A. (2010). 'Price and volatility spillovers across North American, European and Asian stock markets'. International Review of Financial Analysis, 19(1), 55-64.

Theodossiou, P., Kahya, E., Koutmos, G. and Christofi, A. (1997). 'Volatility reversion and correlation structure of returns in major international stock markets'. The Financial Review, 32, 205–24.

133

Measuring Vulnerability to Spillovers

Purba Mukherjee

Connecticut College New London, CT- 06320

Susceptibility of countries to economic developments in other countries is an issue of

universal interest. There have been efforts to study the channels that propagate crises

contagion across countries1. In spite of this, the spread of contagion continues to have a

surprising degree of uncertainty from the point of view of which countries will get

affected.

In the face of uncertainty, the reaction of foreign investors is an important determinant of

whether a crisis from outside spreads to a given country. This reaction is based on their

perception of the fundamentals of the economy of the country as well as the links it has

with countries embroiled in the crisis. Naturally both these factors are in constant flux.

While accounting for these two factors, the aim of this paper is to formulate a basis to

quantify the likely effects on a country’s economy caused by contagion from linked

economies. It is important to clarify that the paper does not aim to predict crises

emanating out of contagion. Instead it attempts to estimate the impact on a particular

country’s economy resulting from changes taking place in related economies.

Given the difficulty in predicting the spread of crises, the approach this paper takes is to

keep an ongoing check on the fundamentals and international economic links of the

country. This approach is capable of monitoring the exposure of countries at all times.

Naturally not all exposures will lead to crises. The effect in most cases is likely to be

benign or even positive when there are good outcomes outside the country.

I use the ‘vulnerability index’ outlined in Kelejian and Mukerji (2011) which describes the

response of a given unit over time to events in ‘neighboring’ units. For our purposes, the

1 Those that have specifically attempted to identify the channels of crises propagation include, Eichengreen,

et al., 1996; Kamisky & Reinhart, 2001; Rijckeghem & Weder, 2001, 2003; Kaminsky, et al., 2001; Broner, et al., 2006; Kelejian et al., 2006; Mondria & Quintana-Domeque (2010)

134

unit is a country and the neighbors are related countries. In the current paper I

decompose the index to provide a practically convenient and succinct quantification of

both the domestic economic fundamentals and the international links of an economy. As

we will see, distinguishing between the two is useful to make the root cause of

vulnerability apparent.

The estimation starts with a model which allows for the simultaneous determination of

growth, the volatility of growth and financial development of an economy. The paper uses

a panel data version of the general spatial three stage least squares approach applied to

the three equation system as a whole (Kelejian & Prucha, 2004). The vulnerability index is

calculated for each country based on this estimation. For a given country the vulnerability

index yields the percentage change, in a variable of interest (in this paper this variable is

taken to be the volatility of growth), as a result of a uniform percentage worsening in the

fundamentals of the economies it is related to.

I present the average vulnerability indices for the decades of the 1980s, 1990s and 2000s.

Vulnerability is decomposed into its ‘international links’ and the ‘domestic economic

fundamentals’ parts. The paper uses the examples of countries involved in the ERM crisis

of 1992, the Mexican crisis of 1994, the Asian crisis of 1997-98, and the Euro debt crisis

starting 2009 to clarify the source of contagion.

Findings indicate that the vulnerability index has been consistently on the rise over the

decades driven by the rise its ‘international links’ component. This highlights the

usefulness of measuring vulnerability on an ongoing basis since the international links

and therefore countries’ exposure are likely to change over time.

Keywords: Spillovers, Vulnerability Index, Country-level Risk, Integration.

JEL Classification Code: F32, C31.

135

References

Baig, T and Goldfajn, I., (1998). ‘Financial Market Contagion in the Asian Crisis’. International Monetary Fund, Washington, D.C. Working Paper WP/98/155.

Broner, F. A., Gaston Gelos, R., and Reinhart, C. M., (2006). ‘When in Peril, Retrench: Testing the Portfolio Channel of Contagion’. Journal of International Economics, 69, 203-230.

Edison, H.J., (2002). ‘Do indicators of financial crises work? An evaluation of an early warning system’. International Journal of Finance & Economics, 8(1):11 – 53.

Eichengreen, B., Rose, A., and Wyplosz, C., (1996). ‘Contagious Currency Crises’. NBER WP No. 5681. Forbes, K., and Rigobon, R., (1999). No Contagion, Only Interdependence: Measuring Stock Market

Comovements. NBER Working Paper 7267. Hernandez, L.F. and R.O. Valdes, (2001). What drives contagion: Trade, neighborhood, or financial links?

International Review of Financial Analysis, 10(3):203-218. Kaminsky, G., Lizondo, S. and C.M. Reinhart, (1998). ‘Leading Indicators of Currency Crises’. IMF Staff

Papers, 45(1). Kaminsky, G. L., Lyons, R. K., and Schmukler, S. L., (2001). ‘Mutual Fund Investment in Emerging Markets:

An Overview’. The World Bank Economic Review, 15, 315-340. Kaminsky, G. L., and Reinhart, C. M., (2001). ‘Bank Lending and Contagion. Regional and Global Capital

Flows: Macroeconomic Causes and Consequences’. Kelejian, K and P. Mukerji, (2011). ‘Important dynamic indices in spatial models’. Papers in Regional Science,

90(4), 693-702. Kelejian, H.H. and Prucha, I., (2004). Estimation of Simultaneous Systems of Spatially Interrelated Cross

Sectional Equations. Journal of Econometrics, 118. Kelejian, H.H., G. Tavlas, and G. Hondroyiannis, (2006). ‘A Spatial Modeling Approach to Contagion

Among Emerging Economies’. Open Economies Review, 17(4-5):423-441. King, R. G. and R. Levine, (1993). ‘Finance and Growth: Schumpeter Might Be Right’. Quarterly Journal of

Economics, 108(3):717-37. King, M. A., and Wadhwani, S, (1990). ‘Transmission of Volatility between Stock Markets’. Review of

Financial Studies, 5-33. Mobarak, A. M., (2005). ‘Democracy, Volatility and Economic Development’. The Review of Economics and

Statistics, 87(2). Jordi Mondria and Climent Quintana-Domeque, (2010). Financial Contagion and Attention Allocation. Mukerji, P, (2009). ‘Ready for Capital Account Convertibility?’, Journal of International Money and Finance,

28(6), 1006-1021. Sachs, J., A. Tornell and A. Velasco, (1996). ‘Financial Crises in Emerging Markets: Lessons from 1995’. NBER

Working Paper No. 5576. Stiglitz, J. E., (2002). ‘Globalization and Its Discontents’. W. W. Norton, New York. Van Rijckeghem, C., and Weder, B., (2003). ‘Spillovers through Banking Centers: A Panel Data Analysis of

Bank Flows’. Journal of International Money and Finance, 22, 483-509. Van Rijckeghem, C., and Weder, B., (2001). ‘Sources of Contagion: Is It Finance or Trade?’, Journal of

International Economics, 54, 293-308.

136

Spill-over Effects of Foreign Direct Investment: An Econometric

Investigation of Indian Firms

Bikash Ranjan Mishra

Lecturer P. G. Department of Economics

School of Social Sciences Ravenshaw University Cuttack, Odisha, India

Email: [email protected] And Senior Research Scholar,

Department of Humanities and Social Sciences (Economics) Indian Institute of Technology Kanpur

Uttar Pradesh, India. Email: [email protected]

It is by now well recognized that inward foreign direct investment (FDI) can immensely

benefit the host country and it is perhaps because of this the governments of many

countries around the world formulate several strategic policies that soothe the

Multinational Corporations (MNCs) to enter into their provinces. World Bank (1993)

writes that ‘FDI brings with it considerable benefits: technology transfer, management

know-how, and export marketing access. Many developing countries will need to be more

effective in attracting FDI flows if they want to bridge the technological gap with high

income countries, upgrade managerial skills, and develop their export markets.’ These

claims have encouraged countries, irrespective of their development stage, to create

conducive environments.

The mechanism of the contribution of foreign direct investment (FDI) in economic

progress of the host economies can both be direct as well as indirect. FDI adds directly to

employment, capital, exports, and new technology in the host country (Blomström et al.,

2000). In addition, local firms may also benefit from indirect means. Such advantages or

pecuniary benefits result in improved productivity of domestic firms which cannot be

fully appropriated by foreign investors. These externalities are commonly known as spill-

overs.

137

According to the literature, FDI spill-overs can work through a number of channels. First,

domestic firms can benefit from the presence of FDI in the same industry, leading to

intra-industry or horizontal spill-overs, through labour turnover, demonstration effects

and competition effects. Second, there may be spill-overs from foreign invested firms

operating in other industries, leading to inter-industry or vertical spill-overs. This type of

spill-over effect is often attributed to buyer–supplier linkages and therefore may be from

upstream sectors (forward spill-overs) or downstream industries (backward spill-overs).

The channel through which the inflows of foreign direct investment (FDI) contribute to

economic progress of the host economy like India can both be direct as well as indirect.

Such pecuniary benefits resulting in improved productivity of local firms which cannot be

fully appropriated by foreign investors are better known in the literature as spill-over

effects. The paper is based on the following research question: what are the firm-level

direct impact and indirect effects of FDI in India? This question is analysed with reference

to a micro-level investigation which tests particularly for inter- and intra-industrial spill-

overs from FDI by applying a Panel framework with Levinsohn-Petrin approach. The

study envelops a rich firm-level dataset from 22 sectors of Indian Manufacturing

industries and over a time period from 2006 to 2010. After controlling for firm-wise and

year-wise effects, the paper finds marginal and insignificant direct impact and mixed

spill-over effects of FDI inflow on the productivity of local firms.

Key words: FDI, spill-over effects, panel data, Levinsohn-Petrin approach.

JEL Classification Code: F21, C33, F23,

References

Aitken, B. and A. Harrison. (1999). ‘Do Domestic Firms Benefit from Direct Foreign Investment? Evidence from Venezuela’. American Economic Review, 89, 605-618.

Blomström, M. and R.E. Lipsey. (1986). ‘Firm Size and Foreign Direct Investment’. NBER Working Paper 2092. Cambridge, MA: National Bureau of Economic Research.

Blomström, M., A. Kokko and M. Zejan. (2000). ‘Foreign Direct Investment. Firm and Host Country Strategies’, London: Macmillan.

Carr, David L., James R. Markusen and Keith Maskus (2001). ‘Estimating the knowledge-capital model of the multinational enterprise’, American Economic Review, 91, 693-708.

138

Caves, R.E. (1971). ‘International Corporations: the Industrial Economics of Foreign Investment’. Economica, 38, 1-27.

Cohen, W.M. and Levinthal, D.A. (1989). ‘Innovation and learning: the two faces of R&D’, Economic Journal, 99, 569–96.

Driffield, N. (2001). ‘The impact on domestic productivity of inward investment in the UK’, Manchester School, 69(1), 103–19.

Du, Luosha, Ann Harrison and Gary Jefferson. (2011). ‘Do Institutions Mater for FDI Spillovers? The Implications of China’s Special Characteristics’. Cambridge, MA: NBER Working Paper 16767.

Edfelt, Ralph B. (1975). ‘Direct Investment in a Developing Economy: Towards Evaluating the Human Resource Development Impact in Brazil’. Ph.D. dissertation, University of California, Los Angeles.

Globerman, S. (1979). Foreign Direct Investment and ‘Spillover’ Efficiency Benefits in Canadian Manufacturing Industries. The Canadian Journal of Economics, 12, 42-56.

Goncalves, Reinaldo. (1986). ‘Technological Spillovers and Manpower Training: A Comparative Analysis of Multinational and National Enterprises in Brazilian Manufacturing’. Journal of Development Economics, 11(1), 119–32

Haddad, M. and A. Harrison. (1993). ‘Are there Positive Spill-overs from Direct Foreign Investment? Evidence from Panel Data for Morocco’. Journal of Development Economics, 42, 51-74.

Javorick, B. S. (2004). ‘Does Foreign Direct Investment Increase the Productivity of Domestic Firms? In Search of Spillovers through Backward Linkages’. American Economic Review, 94(3), 605-627.

Levinsohn, J., & Petrin, A. (2003). ‘Estimating production functions using inputs to control for unobservables’. Review of Economics Studies, 70,317−342.

Olley, G., & Pakes, A. (1996). ‘The dynamics of productivity in the telecommunication equipment industry’. Econometrica, 64, 1263−1297.

Teece, D. J. (1981). ‘The Multinational Enterprise: Market Failure and Market Power Consideration’. Sloan Management Review, 22, 3-17.

Zahra, S.A. and G. George. 2002. Absorptive capacity: A review, reconceptualization, and extension. Academy of Management Review, 27:2, 185-203.

World Development Report (1993). ‘Investing in Health World Bank’; Oxford University Press

139

Section N: Foreign Direct Investment

Empirical Evidence on the Relationship between Foreign Direct

Investment & Economic Growth: A Cross-Country Exploration in

Asia

Samrat Roy* and Kumarjit Mandal@

*Assistant Professor in Economics St. Xavier’s College (Autonomous) Kolkata

E-mail: [email protected]

@Associate Professor Department of Economics

University of Calcutta

Foreign Direct Investment (FDI) is one of the most contentious economic issues in

emerging countries and viewed as a stimulus to economic growth. Against this backdrop,

this paper examines dynamics between economic growth and foreign direct investment

for a selected group of Asian economies namely India, China, Singapore, Hong Kong,

Malaysia, Indonesia, South Korea, Japan, Thailand and Philippines during 1975 to 2009.

The selection of countries is done on the basis of their industrialization experience. The

groups are categorized with respect to the directions of industrialization process. The

economies of Singapore and Hong Kong belong to Group-I characterized by private

investment directed industrialization policy, the economies of South Korea and Japan

belong to Group-II characterized by State-directed industrialization policy, the

economies of Indonesia, Malaysia, Thailand and Philippines belong to Group-III

characterized by liberal and free market policy directed industrialization process and

finally, the economies of India and China belong to Group-IV characterized by Soviet

model of economic planning directed industrialization policy. An integrated empirical

framework is conducted to capture the interrelationship between short run and long run

behaviour of FDI and economic growth. A cointegration approach is used to study this

relationship. The grouping of the Asian economies in terms of industrialization

140

experience is justified from the empirical results. Both Singapore and Japan exhibit

similar nature of relationship between foreign direct investment and growth. The

economies of South Korea and Japan do not exhibit long run relationship as far as foreign

investment-growth nexus is concerned. This paper also provides interesting results for

Group-III countries. In this case, except Malaysia, the remaining economies exhibit long

run dynamics as far as production function is concerned. Further, the economies of India

and China reflect similar behaviour. The findings confirm that policy recommendations

relating to FDI and economic growth may not be uniform for the entire Asian region due

to diversified industrialization experience.

Keywords: Foreign Direct Investment, Economic Growth, Cointegration, Granger

Causality

JEL Classification Codes: F21, F23, C22

References

Agosin, MR and Ricardo Mayer (2000). ‘Foreign Investment in Developing Countries: Does it Crowd in Domestic Investment?’ UNCTAD Discussion Paper, No.146, Geneva: UNCTAD.

Alfaro, L. Chanda, Kalemeli-Ozcan, S.,and Sayek, S. (2004). ‘FDI and economic growth: the role of local financial markets’, Journal of International Economics, 64(1), 89-112.

Artheye, S and S. Kapur (2001). ‘Private Foreign Investment in India: Pain or Panacea?’, The World Economy, 24:399-424.

Balasubramanyam, V.N,M.Salisu,and D.Sapsford (1999). ‘Foreign Direct Investment as an Engine of Growth’, Journal of International Trade and Development, 8, 27-40.

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International Trade: Evidence on Causality in the Mexican Economy’. Paper presented at the annual meeting of the BALAS Annual Conference, Universidad de los Andes School of Management, Bogota, D.C., Colombia.

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Chowdhury, A ., and Mavrotas , G.,(2005). ‘FDI and Growth: A Causal Relationship’, United Nations University, WIDER Research Paper No. 2005/25.

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141

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specification’, Journal of Econometrics, 16, 121-30. Hall. (1985). ‘Exports and economic growth: Some additional evidence’. Economic Development and Cultura

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Developing Countries:Some Empirical Explorations and Implications for WTO Negotiations on Investment’, RIS Discussion Papers No.27/2002.

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142

On Dynamic Relationship between Foreign Direct Investment

(FDI) & Macro-Economic Factors: The Indian Experience

Vanita Tripathia, Ritika Sethb and Varun Bhandaric

a Assistant Professor Department of Commerce Delhi School of Economics University of Delhi, India

E-mail: [email protected] b Assistant Professor

Motilal Nehru College University of Delhi, India

E-mail: [email protected] c PhD Research Scholar

Department of Commerce Delhi School of Economics University of Delhi, India

E-mail: [email protected]

FDI in India has – in a lot of ways – enabled India to achieve a certain degree of financial

stability, growth and development. According to Ernst and Young's 2010 European

Attractiveness Survey, India is ranked as the fourth most attractive foreign direct

investment destination in 2010. The factors that attracted investment in India are stable

economic policies, availability of cheap and quality human resources, and opportunities

of new unexplored markets. Mostly FDI are flowing in service sector and manufacturing

sector recorded very low investments. Besides these factors, there are a number of

macroeconomic factors that are expected to affect FDI in India.

This paper examines the relationship between FDI and six macroeconomic factors -

Exchange rate (Rs. per $), Inflation (WPI), GDP/IIP (proxy for Market size), Interest rate

(91days T-bills), Trade Openness and S&P 500 Index (profitability) using monthly and

quarterly data for the period starting from July 1997 to December 2011. Besides using the

standard techniques such as ADF and PP Unit root stationarity test, Bi-variate and Multi-

variate Regression analysis and Granger Causality test, we use advanced econometric

143

techniques such as Johansen’s Co-integration test, Vector Auto Regression (VAR) and

Impulse Response analysis to check for long run and short run dynamic relationship.

We find a significant correlation between FDI and macroeconomic factors (except for

Exchange rate). Regarding causality results IIP/GDP, WPI and S&P 500 Index are granger

causing FDI inflows in India, Trade Openness is granger caused by the same. All the

macroeconomic variables considered (except Exchange rate) are significantly affecting

FDI inflows and the overall explanatory power of the regression model is 75.7%. The

results of Johansen’s Co-integration test reveal that there is long run causal relation

between FDI and IIP; FDI and S&P 500, FDI and Trade Openness and FDI and WPI. This

implies that select macroeconomic factors have direct long run equilibrium relationship

with FDI. Vector Autoregression and Impulse response analysis show that FDI is caused

more by its own lagged values rather than past values of other macroeconomic factors. A

shock generated in real economy (IIP or GDP, Exchange rate and Interest rate) has a

negative effect on FDI inflows which lasts for about two months, while the response of

FDI to shocks created in foreign trade policy and stock market is positive and significant.

The research findings have important implications for policy makers and foreign

investors. Policy makers need to push reform agenda in domestic market so as to attract

more FDI in the Indian economy. Since, there is positive relationship between FDI and

stock returns, a higher investor’s confidence in domestic market acts as a stimulus in

attracting FDI inflows.

Keywords: Foreign Direct Investment, Macro-economic factors, Unit root stationarity,

Granger causality test, Johansen’s Co-integration test, vector auto regression, Impulse

Response analysis

JEL Classification Code: F23, E11, C22, C19, C32

144

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147

Section O: Shorter Abstracts

Does Corruption Always Sand the Wheels of Growth? A Cross-

National Study in Non-Linear Frame Work

Shrabani Saha* and Girijasankar Mallik@

* School of Accounting, Finance and Economics

Edith Cowan University, Perth, Australia

E-mail: [email protected]

@ School of Economics and Finance

University of Western Sydney, Sydney, Australia

E-mail: [email protected]

This article evaluates the relationship between corruption and growth using system

generalised methods of moments of over 150 countries for the period 1984-2009. The

principal part of the analysis draws on level of corruption reported by International

Country Risk Guide. The study supplements this with an additional analysis of a second

dataset on corruption prepared by Transparency International. Results show that the

corruption-growth relationship is non-linear. Corruption typically enhances economic

growth when the level of corruption is low but the effect of corruption on growth is

detrimental when corruption past a threshold level.

Keywords: Corruption, Growth, SGMM

JEL Classification: K42, O57, O50.

148

Capital goods imports and economic growth: does the composition

of imports matter?

C. Veeramani

Indira Gandhi Institute of Development Research

Mumbai – 400065, India

Email: [email protected]

Capital goods are very heterogeneous in terms of their vintages and level of embodied

knowledge. Countries can potentially choose to import from wide varieties that are

available in different sources and this choice has a bearing on their growth rates. The

present paper analyses the hypothesis that the types of capital goods imported and the

sources of their origin matters for growth. Using a quantitative index, denoted as

KNOWjk, we measure the level of knowledge embodied in each variety, the country of

origin being taken as the demarcation of a variety. The central idea intrinsic to the

construction of this index is that richer countries hold a comparative advantage in

producing the most knowledge-intensive varieties. Using the KNOWjk values, we

construct another index, denoted as IMKNOW (import-weighted average of KNOWjk),

which measures the extent of knowledge embodied in a country’s imports of capital

goods. Using instrumental variable method, we find that a higher initial value of the

IMKNOW index (for the year 1995) leads to a faster growth rate of income per capita in

the subsequent years (during 1995–2005). The results imply that a 10 per cent increase in

IMKNOW increases growth by about 2 to 3 percentage points. We compute IMKNOW

indices separately for capital goods and intermediate manufactures and show that the

former exerts a stronger impact on growth than the latter

Key words: Imports, Capital Goods, Economic Growth, Knowledge Spillovers

JEL Code(s): F10, F14, F43.

149

India & SAARC Trade: Empirical Evidence Using the Augmented

Gravity Model

Amrita Saha* and Arjun Kumar Singh@

* Commonwealth Fellow and PhD Scholar at University of Sussex, U.K. E-mail:

@ Doctoral Fellow at Indian Council of Social Science Research and PhD Scholar at Jawaharlal Nehru University.

E-mail:

Trade under SAARC was initially facilitated by the South Asian Preferential Trading

Arrangement (SAPTA) in 1995 that gave way to the agreement on South Asian Free Trade

Area (SAFTA) in 2006. Recent times have witnessed a perceptible optimism evident in the

volume of ongoing negotiations and exchanges in trade within South Asia. Data from

1988 to 2009 is used to study the progress and prospects of India s trade with the SAARC

nations and 10 of the Top Trading partners (Non-SAARC) of India to ascertain the role

and importance of Geography, Historical and Institutional ties, Political Arrangements

and Economic growth and development determining India s Export and Import flows.

The performance and prospects of SAFTA for India is also observed. We attempt to use

the Augmented Gravity Model for Exports and Imports separately to help explain salient

features of India s trade particularly with South Asia to derive suggestions for significant

policy implications.

150

Contribution of Trade Costs, Transport Costs or Income Similarity

on India's Trade: A Gravity Model Approach

Archana Srivastava* and Somesh Kumar Mathur@

* Senior Research Student, Department of Humanities and Social Sciences, Indian Institute of Technology, Kanpur, India

E-mail: [email protected], [email protected] @ Faculty, Department of Humanities and Social Sciences,

Indian Institute of Technology, Kanpur, India E-mail: [email protected]

The paper attempts to disentangle the effect of trade costs, transportation costs and

Income similarity on India’s bilateral trade through gravity model of Baier and

Bergstrand. The study is done for the year 2009 taking 120 partner countries into

consideration. Both ordinary least squares as well as non-linear least squares approach is

used for the same. The results find support for the model.

Keywords: Baier and Bergstrand, Gravity Approach, Trade Costs, Income Similarity.

JEL Classification Code: F, F1, F4, C2

151

How does gravity explain the trade in services of Africa?

Michael Tedla

Research Officer International Food Policy Research Institute (IFPRI)

E-mail: [email protected] Tel: 251(0) 911 145 928

Despite its stage of infancy, trade in services in Africa is expected to improve the poor

diversification of trade portfolio and trade destination. In order this to happen, there is a

need to study the determinants and the directions of Africa’s trade in services. This paper

intends to study the factors that affect the bilateral trade in services using a gravity model

approach for a 5 year data spanning from 2003-2007. The finding of this research reveals

that GDP per capita and total labor force of the African nations and their partnering

nations positively affect the trade in services. An improved access to the internet in Africa

also promotes the continents trade in services. Contrary to this, distance has also a

negative impact on service. In terms of the direction of service trade, African nations tend

to trade more with their ex-colonial masters.

Key words: Trade in services, Services, Gravity Model, Africa, Colonization

JEL Classification code: F14, F54, L8

152

Preferential Trading Agreements and the Gravity Model: Early

Results for China & India

Rahul Sen*, Sadhana Srivastava* and Don J Webber@

* Department of Economics, Auckland University of Technology,

Auckland, New Zealand @ Department of Accountancy,

Economics and Finance, University of the West of England, Bristol, UK

The two most populous countries of the world have embarked upon an extensive array of

preferential trading agreements in recent decades. This paper investigates the impacts on

trade creation and trade diversion of China’s and India’s eight main preferential trading

agreements using an augmented gravity model and a negative binomial regression

approach. By examining the impacts on exports and imports of preferential trading

agreements with their respective trading partners over time, the paper reveals

asymmetries, lessons and implications for ongoing efforts towards economic integration

that have ramifications for the wider Asian continent and for world trading patterns.

Keywords: Trade creation; Trade diversion; Distance; Trade agreements

JEL Classification code: F15; R12

153

Asymmetry and Symmetry in Gravity: Taxation and Trade in the

OECD

Christopher Balding* and Estelle Dauchy@

* E-mail: [email protected] @

To study the potentially distortionary impact of differing corporate tax rates on

international trade flows, we use a new specification of the Baldwin and Taglioni gravity

model. Holding all other things constant in a gravity model, one should theoretically

expect differing corporate tax rates to have a significant impact on global trade flows.

However, gravity models have explicitly assumed that trade barriers are symmetric

between countries. We find that tax rates do not impact international flows between

countries because, given the existence of asymmetric barriers, countries equalize their

competitiveness by reducing their asymmetric (dis)advantages. By incorporating

asymmetric trade barriers into the standard gravity model, we demonstrate that tax rates

do not have a significant impact on trade. Our empirical results support the theoretical

model and our findings are robust to a variety of specifications.

154

Trade Reform, Intermediation and Corruption

Biswajit Mondal* and Sugata Marjit@

* Department of Economics & Politics Visva-Bharati University

Santiniketan, India

E-mail: [email protected], [email protected] @ Centre for Studies in Social Sciences

Kolkata, India

E-mail: [email protected]

The study construct a general equilibrium model with a protected intermediate sector

and analyze the effectiveness of trade reform for a small open economy where

bureaucratic corruption arises because of trade protection. Intermediaries are employed

by the producers in order to avoid paying the import tariff. We use HOSV kind of

framework to prove whether trade liberalization necessarily leads to a decline in

intermediation activities. The study finds that labor intensity of the exportable

commodity which uses the intermediate good is critical in determining the extent of

corruption. It is essentially a tug of war between higher tariff revenue and higher wage in

the new equilibrium. Thus trade liberalization may or may not lead to les corruption.

Key words: Corruption, International Trade, Tariff Reform, General Equilibrium

JEL classification code: D73, F1, F11, D5

155

Demand Constraints in a Perfectly Competitive Microcredit Market

Bibek Roy Chaudhuri* and Ranajoy Bhattacharyya@

Indian Institute of Foreign Trade Kolkata, India

* E-mail: [email protected] @ E-mail: [email protected]

Group lending has been less successful in backward areas compared to more advanced

areas. In this paper we argue that group formation eases the supply constraint on loans as

the bank’s probability of getting back loans increases but as expected joint liability

payment of the risky borrowers increases their demand for loans decline. As a result it is

possible that the equilibrium level of loans decline if the proportion of risky borrowers is

disproportionately high in any area and their probability of success is low. We argue that

people living in backward areas are more risk prone due to low levels of infrastructural

support such as roads, electricity, water supply, health centers, low levels of education

etc. and hence the result can be used to explain the above empirical observation.

Keywords: microfinance, group lending, adverse selection, demand constraint

JEL classification code: G21, O12

156

Technology Spillover and Determinants of Foreign Direct

Investment: An Analysis of Indian Manufacturing Industries

Smruti Ranjan Behera

Department of Economics, Shyamlal College, University of Delhi,

Delhi-110032, India

Email: [email protected]

This paper examines the spillover effect of foreign direct investment (FDI) and

determinant of FDI across Indian manufacturing industries. The result, based on two-

equation model that allows for the two-way link between labour productivity of locally

owned industries and foreign presence provide evidence that foreign presence brings new

channels of knowledge and technology spillover to domestic industrial firms. We find

that intermediate factors like R&D intensity and technology import intensity can impact

positively the productivity of domestic firms. Furthermore, we find that bigger market

size and highly productive domestic sectors are likely to attract more foreign capital into

Indian industries.

Keywords: Foreign Direct Investment; Technology Spillover; Manufacturing; Panel

Cointegration; Unit Root Tests.

JEL classification code: O41; F43; E23; C22; C23

157

Performance Benchmarking of Foreign Banks - A Bilateral

Comparison

Ram Pratap Sinha

Associate Professor of Economics Government College of Engineering and Leather Technology

Lb Block, Salt Lake, Sector-III, Kolkata-700098 E Mail: [email protected]

The operation of foreign banks in India gathered renewed momentum in the post-1992

phase as a fall out of the initiation of banking sector reform and commitments given by

the Indian government to open up its banking sector to the foreign participants in a

gradual fashion. Against this backdrop, the present paper benchmarks the performance of

foreign banks operating in India relative to the private sector banks for the period 2006-

07 to 2010-11 through a ‘Bilateral Comparison Model’. The statistical inference drawn from

the exercise indicates convergence of performance of foreign and private sector banks

over the period of study.

Key Words: Foreign Banks; Performance Benchmarking; DEA; Bilateral Comparison.

JEL Classification Code: G21, C61.

158

A Reassessment of India’s Aggregate Import Demand Function: an

ARDL Approach

Dukhabandhu Sahoo

School of HSS & M, IITBBS Bhubaneswar, Odisha India-751013

E-mail: [email protected] and [email protected]

The present study re-estimated the import demand function for India on the basis of

annual time series data covering the period 1970-71 to 2010-11 by employing a more robust

and recently-developed estimation method, the ARDL (autoregressive distributed lag)

approach - popularized by Pesaran et al. (2001). The present study draws various

significant conclusions from the estimation of aggregate merchandized import demand

function. The ARDL analysis supports the proposition that in India there exist a long run

relationship among, import demand, real economic growth, real effective exchange rate

and volatility of real effective exchange rate. It further found that aggregate import

demand is income and price inelastic, implying that India’s imports comprises essential

goods (especially oil). The study found evidence to suggest that the volatility of the real

effective exchange rate has negative effect on import demand for India in the long run.

Finally, the present study suggests that a single policy of devaluation would not be

effective to reduce imports and therefore to improve balance of trade. When formulating

policies to promote India’s external sector, planners need to pay careful attention to the

issue of the effect of exchange rate volatility on trade. The government should promote

the development of domestic industries with low import contents, especially resource-

based industries.

Key words: Exchange rate volatility, Import demand, real effective exchange rate and

Autoregressive distributed lag technique

JEL Classification code: F10, F31, F41, C32.

159

Growth and Instability in India’s Current Account Balance: A

Policy Period Analysis

K. V. Bhanu Murthy* and Phool Chand@

* Department of Commerce Delhi School of Economics, Delhi University, India

E-mail: [email protected]

@ Department of Commerce PGDAV (D) College, Delhi University, India

The policy period analysis can be summed up in terms of the overall BOP. The high

growth rate in Period I appear to be a statistical phenomenon. We started at a lower level.

During WTO other countries could take full advantage of the new multilateralism, lower

tariff and the open access. But India could not do the same. World recovery gave a fillip

to trade and we gained but very soon the crisis period set in. Surprisingly the instability is

rising constantly.

With the help of PCA we created two composite indices – one for internal factors and the

other for external factors. The two equations for growth and instability in BoP clearly

establish that exchange rate, money supply and GDP (a mix of real and nominal variables)

are responsible for escalating instability. Ironically they have a negative impact on

growth. The elasticity of internal variables is less than one in both cases. On the whole

internal factors have a smaller impact than external factors.

Keywords: Current Account Balance, Liberalization, W.T.O, World Recovery, Global

Crisis, Growth Rate and Instability.

JEL Classification Code: F32, F 13, O4.

160

Do exchange rates affect consumer prices? A comparative analysis

for Australia, China and India

S. Saha* and Z. Y. Zhang*

* School of Accounting, Finance and Economics, Edith Cowan University,

270 Joondalup Drive, Joondalup, WA-6027, Australia E-mail: [email protected]

An important issue for exchange rate pass-through (ERPT) is the extent to which

exchange rate changes affect the prices of imported goods and the consumer prices. The

objectives of this study are to make a comparative study by exploring the literature

relating pass-through for import prices and domestic prices in Australia, China and India.

In particular, we test whether the exchange rate pass-through to import prices is

complete, estimate the pass-through to CPI to investigate whether there is any

association between the pass-through and the average inflation rate across these

countries. Using a structural VAR model we test the exchange rate pass-through over the

period 1990-2011. The impulse responses indicate that exchange rates have less effect in

the rising domestic prices in China and India. This will have important policy implication

for the monetary authorities.

Keywords: Exchange rate pass-through (ERPT), structural VAR model, Australia, China

and India

161

What Drives the Stock Market Return in India? An Exploration

with Dynamic Factor Model

Paramita Mukherjee* and Malabika Roy@

* Associate Professor, International Management Institute, Kolkata E-mail: [email protected]

@ Associate Professor, Jadavpur University E-mail: [email protected]

In the last few years, institutional investors like foreign institutional investors and

domestic mutual funds are thought to be the drivers of the growth in Indian equity

market. This paper examines the role of these institutional investors primarily. It also

incorporates the possible impact of some other related factors thought to be driving the

market returns. Two dynamic factor models, one for BSE Sensex and the other for BSE

500 returns are estimated for this purpose. The model is checked for stability and also

time variation in the relationships of explanatory variables is taken into account. The

study covers a long time period of 10 years in the recent past. The results point to some

interesting facts. First, there is no evidence of institutional investors driving the market

return before the pre-recession period; however, post-2008, there is some evidence that

their equity investment has some impact on market return. Second, stock market returns

like Japan, Singapore, Taiwan, US, South Korea and HongKong are continuously having a

positive influence on Indian stock market, both in pre and post-recession periods. Third,

even bond market return also has considerable influence on the equity market return

throughout the entire sample period. Fourth, some evidences point out that after the

onset of the recession, domestic and international interest rates have some impact on

market return. Fifth, the sample period has some structural breaks and the factors that

drive the return are not the same in each phase. Most interestingly, the recessionary

phase during 2008-09 has an impact on the relationship between the market return and

its determinants. It is quite evident that Indian stock market return is now explained by a

larger number of factors compared to the pre-recession period.

162

Key words: institutional investors, mutual funds, international investors, dynamic factor

model, Indian equity market

JEL Classification Code: C53, G11, G21, F32

163

Is Indian Stock Market Co integrated with Other Global Stock

Markets? Evidences in the Presence of Endogenous Structural

Jaydeep Mukherjee* and Shegorika Rajwani@

*Assistant Professor, Indian Institute of Foreign Trade, New Delhi, India

Email: [email protected] @ Research Scholar,

Indian Institute of Foreign Trade, New Delhi, India Email: [email protected]

The objective of this paper is to examine the level of integration of the log-return of

Indian stock market with the returns of other world markets, namely, Hong Kong,

Indonesia, Japan, South Korea, Malaysia, Taiwan, China, US, UK, Canada, France and

Germany. The study under consideration spans over a period of 21 years (from January

1991 to December 2011). Such a study is particularly important because if the level of

integration among the returns is high, then investing in different markets will not

generate long term gains from portfolio diversification or reduction in risk.

Since the level of integration will be studied keeping in mind the different economical

phases like recession & boom, a significant aspect so far as the methodology to be used in

this study is concerned, is to incorporate the possibility of existence of structural breaks

in the individual stock return series as well as in their relationship. Accordingly, unit root

test in the presence of endogenous structural breaks (Lee and Strazicich, 2003, 2004) that

uses a Lagrange Multiplier (LM) test statistics and the Gregory and Hansen (1996)

cointegration technique that allows for endogenous determined structural break in the

relationship have been applied. We find that the log-return of Indian stock market is co-

integrated with all the returns of other global stock markets under study. We thus,

conclude that the Indian stock market is sensitive to the dynamics in these markets in the

long run.

Keywords: Stock Markets, Cointegration, Unit Root, Endogenous Structural Breaks

JEL Classification Code: C12, C32, G15

164

Location Substitution Effect and China

Nilanjan Banik* and Khanindra Ch. Das@

* Professor, Institute for Financial Management and Research (IFMR),

Chennai, India E-mail: [email protected]

@ Research Scholar, Institute for Financial Management and Research (IFMR),

Chennai, India

The notion that China is factory of the world is now changing. Factories in China are

shifting their production base to neighboring Asia, primarily because of higher input

costs in China, a volatile Chinese exchange rate, and protectionist measures targeted

against Chinese exports. In this paper, we examine the location substitution effect for

China: Chinese firms are exporting primary, intermediate and machinery items, meant for

producing final output in the Greater Mekong Subregion (GMS). Results suggest that

GMS countries are exporting finished items to China, that are increasingly getting

manufactured using primary and intermediate inputs imported from China.

Key Words: Trade, Location Substitution Effect, China, GMS

JEL Classification Code: F14, F15, F21

165

Anti-Dumping, Competitiveness and Consumer Welfare: A Study

on Commodity Prices with a Special Reference to India

Dibyendu Maiti

The University of the South Pacific, Suva, Fiji Islands E-mail: [email protected]

The usage of unconventional trade protections have been thriving worldwide and anti-

dumping initiation is one of them. India has appeared the highest initiator of anti-

dumping in the world during 1995-2010. The paper tries to investigate the impact of such

initiatives on trade flows and resultant welfare with a particular reference to Indian

economy. Anti-dumping initiative defends competition, protects domestic producers and

goes against consumer welfare in general, but the strategic initiative may lead to rise in

AD-jumping FDI flows, resulting to an improvement in domestic welfare. Theoretically,

we find that the possibility of AD-jumping FDI depends on the foreign price and labour

market conditions in the domestic economy. Closer to the oligopoly price in the domestic

economy lower would be the possibility and greater would be a loss of domestic welfare.

Moreover, in the presence of unions, such possibility goes down. The study uses industry

and firm level information empirically to see the impact. It is observed that the AD

initiation does not affect the imports significantly. FDI has grown but still very small. The

mark-up of AD intensive industries seems to be on the higher side and does not support

the AD-jumping FDI proposition effectively. A large share of Indian initiatives, similar to

other countries, has been against China and other neighboring countries, leading to rise

an issue of predatory pricing including the rules of origin applicable largely with them.

We suggest that AD investigation process should look at (i) the price formation and rules

of origin in the foreign markets, (ii) the extent of extra-legal employment and

environmental damage due to the increased import competition. Although Indian

government has been quite active in taking decision on any petition against dumping, the

existing laws favour only a small section of producers, do not apply uniform methods of

injury calculation and do not show any concern about labour and environment. We

166

suggest that the safeguard measure should be taken up first before using anti-dumping

measure in cased of dumping.

Key Words: Anti-Dumping, Welfare, Strategic Trade Policy, AD-jumping FDI,

International Relation

JEL Classification Code: F16, F51

167

Relation between Trade Openness & Government Size in India: An

Application of Bounds Testing Approach to Co integration

Vikas Dixit

Assistant Professor, Department of Economics, Jadavpur University, Kolkata, India

Email: [email protected]

It is generally argued that when an economy opens up, it is exposed to external risk and,

therefore, more government expenditure is demanded to compensate that risk and the

increasing level of economic inequalities associated to openness. On the other hand,

there is an opposite view which says that with higher capital openness, it would become

difficult for national governments to tax and to issue public debt to finance public

expenditures, as capital may easily move abroad. An attempt is, therefore, made in this

paper to understand the nature of relationship between trade openness and government

size in India over the period from 1980-81 to 2009-10. This study differs from earlier works

on the subject in that it employs the modern robust econometric techniques such as Ng-

Perron unit root test and ARDL-Bounds testing approach to cointegration so as to analyse

long run as well as short run behavior of the underlying relationship. The results of

bounds testing-ARDL approach to cointegration suggest a positive and significant

relationship between trade openness and government size, when government size is

measured by Central Government expenditure on social and community services and

total tax revenue of the Central as well as General Governments. However, the estimation

results do not provide enough evidence to support significant relationship between trade

openness and either of total public expenditure or expenditure on social and community

services of the General Government. In order to confirm the direction of causality, the

LA-VAR non-causality test is conducted which provides evidence of a bidirectional

causality between trade openness and expenditure on social and community services of

both Central as well as General Government.

168

On the other hand, unidirectional causality is observed from total tax revenue of both

Central and General Government to trade openness. The overall empirical results find

support for the compensation hypothesis and little evidence of efficiency hypothesis (and

that too only in the short run for some measures of government size) in case of India.

Key Words: Trade Openness; Government Size; Bounds Testing; ARDL Approach;

Cointegration; TYDL Causality

169

Growth and Pattern of Intra-Industry Trade between India and

Bangladesh: 1975-2010

Sushil Kumar* and Shahid Ahmed@

* Research scholar, Department of Economics, Jamia Millia Islamia,

New Delhi, India. Email: [email protected]

@ Professor,Department of Economics & Director, Centre for Jawaharlal Nehru Studies, Jamia Millia Islamia,

New Delhi, India. Email: [email protected]

The present study investigates the intra-Industry trade between India and Bangladesh

over the period 1975 to 2010. Grubel Lloyd Index (1975) is used to calculate IIT levels in

the study and bilateral trade data at the three-digit level of SITC between India and

Bangladesh. Marginal Intra Industry Trade has been calculated for three periods, 1980-

1990, 1990-2000, and 2000-2010. The extent of intra-industry trade between India and

Bangladesh in 1975 to2010 was high in sector like, Crude materials, inedible, except fuels,

Food and live animals.IIT index for most of the industries experienced a deceleration over

time and in some industries, it has alarming declined.

There is potential for trade between India and Bangladesh in the Beverages and tobacco,

Crude materials, inedible, except fuels, Chemicals and Commod. & transacts. Not class.

Accord. to kind. The share of specific industry to total export increased namely food and

live animals, Crude materials, inedible, except fuels, Chemicals, Manufacture goods

classified chiefly by material and Miscellaneous manufactured articles. Industries with

high growth rate of exports between India and Bangladesh were Animal and vegetable

oils and fats, Food and live animals, Mineral fuels, lubricants and related materials and

Commod. & transacts. Not class. The Marginal Intra Industry trade, Beverages, Crude

fertilizers and crude minerals, nes, Coal, coke and briquettes, the index takes on a much

170

lower value for all other product categories, indicating a greater role of inter industry

trade in the new trade created during the same period.

Key words: Grubel Lloyd Index, Trade Complementarity Index, Export Intensity Index

and Trade intensity Index.

JEL Classification Code: F14, F15

171

Heckscher Ohlin Vanek Theorem: An Excess Supply Approach

Archana Srivastava*, Somesh Kumar Mathur@

* Senior Research Student, Department of Humanities & Social Sciences, Indian Institute of Technology, Kanpur, India.

Email: [email protected], [email protected]. @ Faculty, Department of Humanities & Social Sciences,

Indian Institute of Technology, Kanpur, India. Email: [email protected].

The paper attempts to test the empirical validity of Heckscher Ohlin Vanek Theorem in

Indian context. The data is obtained from annual survey of industries database from the

year 1989 to 2009 across six major industries. These six industries are: engineering goods,

textile industry, chemical industry, leather industry, primary goods and miscellaneous

manufacturing services. Using fixed effect least squares dummy variable technique, the

results show that India is abundant in unskilled labour and capital while it is still scarce

in skilled labour, energy and services as an input to manufacturing sector.

Keywords: HOV Theorem; Partial Test Approach, Manufacturing Industries.

JEL Classification Codes: F1, F11, C2

172

An Empirical Estimation of Volatility Spillover from a Developed

Country USA to two Emerging economy India & China

Ayanangshu Sarkar* and Malabika Roy@

* Assistant Professor, Dept of Business Administration,

Pailan College of Management & Technology. E-mail: [email protected]

@ Associate Professor, Department of Economics, Jadavpur University.

E-mail: [email protected]

The issues of volatility and risk in recent times have gained in importance for financial

practitioners, market participants, regulators and researchers. Volatility is the most basic

statistical risk measure instrument. This paper empirically investigates the pattern of

volatility in the Indian and Chinese stock market during 2006-2011 in terms of its time

varying nature, presence of certain characteristics such as volatility clustering and

whether there exists any ‘spillover effect’ between the domestic and the US stock markets.

It contributes to the body of knowledge by providing a holistic treatment to the subject of

stock market volatility in India and providing evidence on its main characteristic features

with the help of econometric techniques and employing GARCH models. A comparative

analysis is made with the Chinese stock market taking Sanghai Composite Index (SCI).

173

Horizontal and Vertical Technology Spillover of Foreign Direct

Investment: An Evaluation across Indian Manufacturing Industries

Smruti Ranjan Beheraa, Pami Duab and Bishwanath GoldarC

a Department of Economics, Shyamlal College, University of Delhi, Delhi-110032, India

Email: [email protected] b Department of Economics, Delhi School of Economics, University of Delhi,

Delhi-110007, India Email: [email protected]

c V.K.R.V. Rao Centre for Studies in Globalization, Institute of Economic Growth, University Enclave, Delhi-110007, India

Email: [email protected]

This paper explores the horizontal and vertical technology spillover effect of foreign

direct investment (FDI) across Indian manufacturing industries. On the basis of Pedroni

cointegration tests, we find that technology spillovers can be transmitted via all kinds of

intermediate factors. We find that the horizontal foreign presence and inter-industry

foreign presence have exclusive penetration effect to spur labor productivity and

technology spillover across Indian industries. Furthermore, intermediate factors like

technology import intensity; inter-industry technology import intensity, R&D intensity

and inter-industry R&D intensity promote technology spillover and labor productivity

across Indian manufacturing industries.


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