2020 ASSA-CASS JOINT ACTION PROGRAM APPLICATION FORM 1. Research Grants In 2020, four grants will be awarded to teams of social scientists from Australia and the Chinese Academy of Social Sciences (CASS). The grant is intended to provide Australian and CASS researchers the opportunity to collaborate in areas of shared interest. It is suited to younger researchers who wish to pursue research opportunities with an international colleague, with the intention this may lead to larger research projects. To apply, researchers must submit a proposal to conduct research with an overseas partner having similar interests. Proposals with and interdisciplinary character are encouraged. The grant can be expended throughout 2020 on air travel, accommodation, and conference-related costs. The following topics have been identified as priorities for the 2020 program: 1. Urban Development 2. Impact of Technology on Society 3. Population 4. Migration and Immigration 5. Environmental Protection 6. Regional Security and Cooperation 7. National Development Measures and Evaluation 8. New Developments in IT Communication and Commerce 1.1. Applicant requirements Each application must contain at least one researcher from Australia and one from CASS. As the Academy of the Social Sciences in Australia (ASSA) encourages the participation of early-career researchers, one applicant must be fewer than eight years beyond the completion of their PhD. ASSA-CASS Joint Action Program Funding Scheme—2019 Application Form | 1
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2020 ASSA-CASS JOINT ACTION PROGRAMAPPLICATION FORM
1. Research Grants
In 2020, four grants will be awarded to teams of social scientists from Australia and the Chinese Academy of Social Sciences (CASS). The grant is intended to provide Australian and CASS researchers the opportunity to collaborate in areas of shared interest. It is suited to younger researchers who wish to pursue research opportunities with an international colleague, with the intention this may lead to larger research projects. To apply, researchers must submit a proposal to conduct research with an overseas partner having similar interests. Proposals with and interdisciplinary character are encouraged. The grant can be expended throughout 2020 on air travel, accommodation, and conference-related costs.
The following topics have been identified as priorities for the 2020 program:
1. Urban Development
2. Impact of Technology on Society
3. Population
4. Migration and Immigration
5. Environmental Protection
6. Regional Security and Cooperation
7. National Development Measures and Evaluation
8. New Developments in IT Communication and Commerce
1.1. Applicant requirements
Each application must contain at least one researcher from Australia and one from CASS. As the Academy of the Social Sciences in Australia (ASSA) encourages the participation of early-career researchers, one applicant must be fewer than eight years beyond the completion of their PhD.
1.2. Application
For an application to be valid, applicants from both ASSA and CASS must communicate and agree to apply together ahead of submitting their applications. A letter of confirmation in support of an applicant is also required as part of a valid application. Signed application forms are submitted to ASSA and the Bureau of International Cooperation of CASS. Assessment for applications is carried out by ASSA and CASS separately, with grants awarded to applications ranking highly in the assessment of both.
With approval from ASSA and CASS, each successful project application will be awarded $7,000 AUD to be shared by the Australian scholars and ¥25,000 RMB to be shared by the CASS scholars.
ASSA-CASS Joint Action Program Funding Scheme—2019 Application Form | 1
1.3. Deadline
Applications are due to ASSA by Friday 1 November 2019. Applications will be decided by Friday 20 December 2019, with participants being notified by ASSA and CASS as soon as is practicable.
1.4. Invoice
Successful applicants must invoice ASSA for the funding prior to the commencement of the project, by no later than Monday 2 March 2020.
1.5. Conclusion of grants
An acquittal of funding expenditure, as well as a ~2,000 word article summarising the context of the research question, the outcomes of the research, and directions for future research, is due by Monday 1 March 2021.
1.6. Contact
For more information, or to submit a completed application, please contact:
Dylan ClementsPrograms ManagerAcademy of the Social Sciences in AustraliaEmail: [email protected]: (+61) 2 6249 1788
2. 2020 ASSA-CASS Joint Action Project Application Form
2.1. Project leaders
Australian applicant CASS applicant
Full name Pundarik Mukhopadhaya Full name Deng Zhongliang
ASSA-CASS Joint Action Program Funding Scheme—2019 Application Form | 3
2.1. Start and end date of project
Projects should be no more than one year’s duration. ASSA welcomes applications for projects which form part of a larger researches. See program guidelines for the beginning and end dates of the funding round.
Start date 2020.02 End date 2021.01
2.2. Total grant requested
The total grant available for this scheme is AUD $7,000.
AUD $7000
2.3. Early-career researcher
Please indicate the name and year of PhD award of any early-career researchers involved in the project.
Deng Zhongliang, PhD obtained in 2018.06 from the Renmin University, China
2.4. Title of project
Migration Influx in Cities in China: An Analysis for Resolving the Spatial Mismatch of Labour and Unbalanced Urban Scale
2.5. Research question
What are the causes of spatial differences for the migration preferences?
How to accurately quantify the impact of population mobility preferences on China's urban scale system?
How to optimize the urban scale system based on migration behaviour?
2.6. Short summary of proposed research
This project aims to build an analytical framework for formulating rules for the mobility of people under China’s Hukou (Household Registration) system to generate an efficient path of development. The uneven provision of an urban public service and employment opportunities in China cause an enormous diversity of labour mobility in cities. This spatial heterogeneity of population migration affects the equilibrium of the urban scale system. Using the China Migrants Dynamic Survey
(CMDS) data of 275 cities from 2011 to 2017, this research will develop a model for optimal migration and resource allocation in cities by incorporating the product, factor and housing markets in a comprehensive framework. The findings will enable a better understanding of how to reform China's Hukou system to promote balanced development of the urban system.
2.7. Research proposal
Describe the project’s aims, value and relevance, and any planned research visits, fieldwork, etc.
BackgroundLarge-scale population migration from rural to urban areas and between cities has increasingly become a key factor affecting the balanced development of the economy of many developing countries, and China is no exception. China has now entered a stage of rapid development of urbanization; from 18 percent in 1978 to 60 percent in 2018. The proportion of migrants compared to the overall population has been steadily increasing, reaching 71 percent in 2017 (China Statistical Yearbook, 2018). In 2017 the number of internal migrants reached 244 million; accounting for 18 percent of the total population, of which nearly 172 million are rural migrant workers (71 percent of the country's migrants).
Owing to the productivity gains from migration, the increasing trend in population agglomeration in big cities is a common characteristic of urbanization in a mature national economy (Combes et al, 2017). However, unbalanced migration not only increases regional disparity (Chen et al, 2017), but also causes uneven social problems in big cities, such as over congestion and urban slums. Conversely, excessive population outflows from small cities create shortages of human capital that often lead to regional urban depression. In other words, unbalanced migration causes a spatial mismatch of labour (Albouy et al, 2019), and thus reduces urban productivity (Tombe & Zhu, 2019).
Migration is caused mainly by the agglomeration of the urban economy (Duranton & Puga, 2004) and the complementary effect (Eeckhout et al, 2014). While urban scale (population density in urban areas) increases the wage premium in big cities (Glaeser & Lu, 2018), in China, a 15 percent wage premium is observed in bigcities (Meng et al., 2019). The complementary effect also elevates the wage premium towards high-skilled labour within the same big cities (Eeckhout et al, 2014). As well as higher incomes, the availability of urban public services is also an important factor in attracting population inflows (Desmet & Rossi-Hansberg, 2013). Other studies of China have shown evidence in support of this phenomenon (see, for example, Xia & Lu, 2015).
Migration behaviour is also affected by the spatial frictions caused by the Hukou system (Tombe & Zhu, 2019) and by availability and prices of urban housing (Zhang et al., 2017). In China, public services such as health care and education are closely related to the Hukou system, which also causes uneven migration. Since 2014, China has continued its reforms of the Hukou system: in addition to Beijing, Shanghai and other major megacities, urban household registration has gradually been relaxed for domestic internal migrants. With the growth of big cities due to the consequent influx of migrants, an inadequate supply of housing pushes up house prices and living costs in big cities (Hsieh & Moretti, 2017). These factors in turn increase the cost of migration, reducing the efficiency of economic growth.
Earlier studies on urbanization in China focus mainly on the theory and empirical examinations of population and economic growth, property prices, and urban scale, while only a few studies explore the impact mechanism of population migration on urban scale from the perspective of population mobility. A few researchers have also considered population migration from the standpoint of individual preferences. These studies provide a partial construct of a much wider and complex phenomenon. Hence, a comprehensive research project on migration and urban growth that incorporates agglomeration, human capital, wage variation, demand for input and consumer goods along with public services as embedded in the Hukou system is highly necessary for enhancing urban productivity and the optimization of the urban scale system.
Project Aims, Significance and Innovation, and Expected OutcomesProject AimsThe purposes of this project are:
1. To develop a basic analytical framework using the spatial general equilibrium method of multi-cities to
explain the relationship between migration and urban scale as they are affected by agglomeration and dispersion forces.
2. To analyse the mechanism of migration to cities at the prefecture level (instead of provincial-level analysis that mainly exists in the literature) to reveal more general migration rules.
3. To propose policy suggestions on Hukou reform in relation to changes in the restrictions of Household Registration and settlement in China’s megacities.
Significance and Innovation
Population migration is affected by expectations of higher wages, diversified provision of urban public services, ecological environment issues, house prices and other characteristics of spatial location; however, previous studies have often only focused on the theory and experience of migration and economic productivity (Tombe & Zhu, 2019); labour misallocation and its cost across cities caused by supply of houses (Hsieh & Moretti, 2017); and uneven migration impacted by trade and the Hukou system (Fan, 2019). Thus, the existing literature in China fails to systematically explore the joint phenomena of economic development and unbalanced migration. The present project addresses this gap in the literature and aims to provide a comprehensive picture of migration by exploring the mechanism of population mobility on urban scale. Additionally, most of the existing studies are based on China’s population census data of 2005 or 2010 at the provincial unit; however, with the change of migrants’ employment structure in China, a further significant aspect of this project is the exploration of recent scenarios at the prefecture level using China Migrants Dynamic Survey (CMDS) data provided by the China National Health Commission. This project will reveal a more accurate micro-mechanism of the effects of preferences in population mobility on urban scale, which will enrich related theoretical research on migration by Desmet & Rossi-Hansberg (2013) and Monte et al (2018).
The present study is innovative because it aims to construct a general spatial equilibrium model which will directly reveal mechanisms between migration and urban scale by combining wage, urban public service, housing cost and friction of migration into a comprehensive form. Unlike previous studies, this research will provide a solution for optimizing the urban scale system by proposing appropriate labour policies for the coordination of internal migration in China.
Expected OutcomesOur project will result in at least one research paper to be submitted to a high-impact international journal. The paper will explore the mechanism between urban growth and migration from the perspective of population migration, considering main factors (for example employment, public service, etc) influencing growth of urban scale based on theoretical analysis combined with empirical studies.
This will further develop a strong collaborative relationship between CASS and Macquarie University which will generate more mutually beneficial research outputs and policy suggestions for urban development and planning beneficial for both China and Australia.
Approach and MethodologyFor this research we will first develop a theoretical model and then employ a spatial general equilibrium approach to accomplish the model. The methodology is briefed below:
The Theoretical Model
The economy has S cities (having both local and migrant residents). Owing to the Hukou system, the total labour in region i is:
(1)
where ri is the local employment proportion with local Hukou, Lri is urban population with local Hukou, while Lmi is migrants from other cities. Members of the labour-force living and working in cities need to buy or rent houses, and we assume that labour is the only factor input for urban production. Thus, following Albouy et al (2019), we can write
Yi=AiLi, where Ai is labour productivity, and
Ai=Ai(Li), where is economic externality caused by urban agglomeration, andAi is different urban productivity considering urban characteristics.
Duranton & Puga (2004) note that an agglomeration economy has three micro-mechanisms; sharing, matching and learning. The urban human capital could be accumulated effectively and generate a knowledge spillover effect. When >1, the agglomeration economy has positive externality, <1, it has negative externality, while =1 means that economic externality does not exist.
Studies have shown that migration is influenced by the wage effect wi (Combes et al, 2012; Gao, 2014), available public services (Desmet & Rossi-Hansberg, 2013; Xia & Lu, 2015) and the ecological environment (Zhang et al, 2019), denoted by bij, and living cost Hi (Zhang, 2017). Hence, we assume that the above factors have the same effects on the preferences for population mobility. We further assume that Ci and Hi
are consumer goods and housing consumption respectively; is the share of consumption of consumer goods; Fi is the total congestion effect of city i, and ij is migration cost from city i to city j. And we also allow idiosyncratic (which depends on individual characteristics) preference for urban public services, as set in the Fréchet distribution function (Monte et al, 2018), is the dispersion degree of its preference. Hence, the utility function Uij of migrants of city i who choose to migrate to city j is:
(2)
(3)
The spatial equilibrium is achieved through equilibrium in product, factor and housing markets when the migrating population between cities i and j have the same probability λ of choosing both cities, that is λij=λji, then the urban scale of city i in the spatial equilibrium is:
(4)
Measuring Urban Characteristics Variables
Based on the theoretical model above, we will develop the empirical model for further analysis of the urban level and the individual migrant level separately. For urban scale changes caused by migration, we will obtain urban migrants’ data by using the Chinese Urban Statistics Yearbook (defined as urban resident population minus people with local Hukou). We will consider that, for individual migrants, mobility depends on the positive effects of preference and the negative effects of spatial frictions, which will be the main explanatory variables of agglomeration force and decentralization force. The CMDS Questionnaire provides information on migrants’ interest to continue to stay in the same city in the future year or not. In the test of mechanism significance, we also control the two-way fixed effects by introducing control variables; for instance, urban industrial structure and urban administrative hierarchy. The heterogeneity caused by migrants’ age, education level, and the employment structure in different industries will be also analysed.
As information for wages of migrants will be collected from the CMDS Questionnaire, the urban public service bit will be measured by combining education, medical facilities and environment (EDU, MEDIC and ENVI; weighted by national-level data on the number of urban employees)
DataFor the purpose of this study, the China Migrants Dynamic Survey (CMDS) provided by the China National Health Commission will be used. The urban data and micro-individual data of migration in China from 2011 to 2017 will be matched according to the code of “Statistical Zoning and Urban-Rural Zoning” (SZURZ) published by the China National Bureau of Statistics (http://www.stats.gov.cn/tjsj/tjbz/tjyqhdmhcxhfdm/2018/index.html ) .
Overall, the sample sizes for different years in the CMDS are: 123960 (2011), 150687 (2012), 190201 (2013), 190305 (2014), 188066 (2015), 164840 (2016) and 165549 (2017). The urban data will be collected from the China Regional Economic Statistics Yearbook, China Urban Statistical Yearbook and the Sixth Population Census of China. The sample captures 275 cities (94 percent of the total number of cities in China) at the urban unit, which accounts for 90 percent of the whole country; among them, the total population of the sample cities accounts for 65 percent of the total urban population.
The results will be cross-checked using other data sources (instrumental variables: geographical factors, urban altitude, nightlight data) and methods to guarantee accuracy.
Timeline February 2020 to May 2020: Prepare the data for the study and match the data from CMDS with other
data sources and define core variables. During this period, Mukhopadhaya, the applicant from Australia will visit CASS and will work with his counterpart collaboratively.
May 2020 to September 2020: Accomplish the empirical study and conduct further research on the heterogeneity of migrants and cities. During this period, Dr Deng, the applicant from CASS will visit Macquarie University.
October 2020 to January 2021: Complete writing draft for publication.
Value and BenefitsThe outcome of the project will help to more precisely understand the current issues related to migration and lopsided urbanization in China. It will further provide a theoretical explanation and empirical evidence for reformulating the Hukou system in China by further relaxing restrictions on migrants’ settlement in megacities. The main conclusions of the project will also provide evidence that will assist in the implementation of policies for urban development in various big cities and suburbs in Australia. The model developed in this research will also be useful in the Australian context with some minor modification.
Besides publication in a high-impact academic journal, the results of our analysis will be made available to the public through the Macquarie University website and IPLE (CASS) in China.
Both participants will give seminars in their respective institutes during the visits and in other relevant international conferences, which could deepen the study by receiving views from leading academics from China and Australia, and will help further communication and cooperation between CASS and Macquarie University.
Explanation of Expenses
Airfare (Sydney Beijing-Sydney), Local transport to and fro airport and visa processing cost: $2000.00 (approximately)
Accommodation in Beijing for two weeks (During this period the Dr Mukhopadhaya will work closely with Dr Deng to develop the database and refine the model): $150*14= $2100.00
Local expenses in Beijing during Dr Mukhopadhaya’s stay in Beijing: $40*14= $560 International Conference presentation (possibly Singapore Economic Review Conference, or
similar, where a dedicated session is available on Chinese Economic Development) – Conference registration fee ($500-700) + airfare from Sydney to the venue ($1170) + 3 days accommodation ($450) and local expense ($ 120, including food) = $2340.00 (approximately)
References
Albouy, D., K. Behrens, F. Robert-Nicoud, and N. Seegert, 2019, “The Optimal Distribution of Population across Cities”, Journal of Urban Economics, Vol.110, pp.102-113.
Behrens, K, G. Duranton, and F. Robert-Nicoud, 2014, “Productive cities: Sorting, Selection and Agglomeration”, Journal of Political Economy, Vol. 122(3), pp.507-553.
Behrens, K., G. Mion, Y. Murata and J. Suedekum, 2017, “Spatial Frictions”, Journal of Urban Economics, Vol.97, pp. 40-70.
Bosker, M. and E. Buringh, 2017. “City Seeds: Geography and the Origins of the European City System”, Journal of Urban Economics, Vol.98, pp.139-157.
Chen, B.K., D. Liu, and M. Lu, 2018, “City Size, Migration and Urban Inequality in China”, China Economic Review, Vol.51, pp. 42-58.
Combes, P.P., G. Duranton, L. Gobillon, D. Puga, and S. Roux, 2012, “The Productivity Advantages of large cities: Distinguishing Agglomeration from Firm Selection”, Econometrica, Vol.80(6), pp. 2543-2594.
Combes, P.P., S. Démurger, and S. Li, 2017, “Productivity Gains from Agglomeration and Migration in the People’s Republic of China between 2002 and 2013”, Asian Development Review, Vol.34(2), pp.184-200.
Desmet, K., and E. Rossi-Hansberg, 2013, “Urban Accounting and Welfare”, American Economic Review, Vol.103(6), pp. 2296-2327.
Duranton, G., and D. Puga, 2004, “Micro-foundations of Urban Agglomeration Economies”, in: J.V. Hendersonand, and J.F. Thisse (eds.), Handbook of Regional & Urban Economics (Volume 4), Amsterdam: North Holland Publishing Co.
Eeckhout, J., R. Pinheiro, and K. Schmidheiny, 2014, “Spatial Sorting”, Journal of Political Economy, Vol.122(3), pp.554-620.
Fan, J.T., 2019, “Internal Geography, Labor Mobility, and the Distributional Impacts of Trade”, American Economic Journal: Macroeconomics, Vol.11(3), pp. 252-288.
Gao, H., 2014, “Urban Population Scale and Labor Income”, (in Chinese), World Economy, Vol.4, pp. 145-164.
Glaeser, E.L., and M. Lu, 2018, “Human-Capital Externalities in China”, NBER Working Paper, No. 24925.
Hsieh, C.T., and E. Moretti, 2017, “Housing Constraints and Spatial Misallocation”, NBER Working Paper, No.21154.
Meng, M.X., P.X. Li, C.R. Ai, and Q. He, 2019, “Urban Wage Premium: Agglomeration, Endowment and Economic Effect of Agglomeration - Estimation Based on Nearest Neighbor Matching Method”, (in Chinese), China Economic Quarterly, Vol.1, pp. 96-117.
Monte, F., S.J. Redding, and E. Rossi-Hansberg, 2018, “Commuting, Migration and Local Employment Elasticities”, American Economic Review, Vol.108(12), pp. 3855-3890.
Redding, S.J. and E. Rossi-Hansberg, 2017, “Quantitative Spatial Economics”, Annual Review of Economics, Vol.9, pp. 21-58.
Tombe, T, and X.D. Zhu, 2019, “Trade, Migration, and Productivity: A Quantitative Analysis of China”, American Economic Review, Vol.109(5), pp.1843-1872.
Xia, Y.R. and M. Lu, 2015, “Three Movements of Meng Mu among Cities: Empirical Study on the Impact of Public Services on Labor Migration”, (in Chinese), Management World, Vol.3, pp.78-90.
Zhang, H.F., X.X. Lin, R.B. Liang, and J.J. Lan, 2019, “Urban Ecological Civilization Construction and the Flow of New Generation Labour: The View of Labour Resource Competition”, (in Chinese), China Industrial Economics, Vol.4, pp.83-99.
Zhang, L., J. He, and R.H. Ma, 2017, “How Housing Price Affects Labour Migration?”, (in Chinese), Economic Research Journal, Vol.8, pp.155-170.
3. Project Participants
3.1. ASSA project leader
Name Pundarik Mukhopadhaya
3.2. Language proficiency (Rated 1-10)
Language Speaking Reading Writing
English 10 10 10
Mandarin 0 0 0
Other
3.3. Summary of academic qualifications, career, and publications as they relate to this project
Dr Pundarik Mukhopadhaya is currently employed as an Associate Professor at the Macquarie University Sydney since 2013. Prior to joining Macquarie University, he worked as Assistant Professor in National University of Singapore for four years. He obtained his PhD from the University of New South Wales in 1999. Dr Mukhopadhaya’s research focuses in the areas of social welfare in the Asia and Pacific regions that includes urbanization, migration, poverty and inequality and he has published widely in these areas.
Dr Mukhopadhaya has published three scholarly books (and one forthcoming) with Routledge, UK. His most recent published book Multidimensional Poverty in China exposes the scenario of rural-urban migration in China and proposes new policy guidelines. The book received very positive reviews from Eminent Professor Bjorn Gustafsson (Institute of Labor Economics, Germany) in China Quarterly. His sole-authored book Income Inequality in Singapore is regarded as a major publication that addresses the profound social changes in the city state Singapore and has been used as a major research handbook for graduate studies in Southeast Asia. Prof Paul Vandenberg from Asian Development Bank Institute (ADBI) highly commended this book, while Prof Anne Booth from University of London states, “the book is an important contribution to the global debate on inequality, and especially to debates over who has benefited from rapid economic growth in Asia.” The significance of his book Economic Growth and Income Inequality lies in its original and systematic treatment of growth in China and is highly acclaimed in the American Journal of Agricultural Economics.
In addition to these three books, he has published more than 60 journal articles and book chapters and has given many conference presentations. The interdisciplinary nature of his research is manifested through his publications in leading journals in sociology, law and urban development. During the past five years, he has published 12 extremely high ranked journal articles and presented
his research at 23 international forums. His recent article published in the China Economic Review on city size and wage variation in China is one of their top 10 most-read articles in 2018, and his 2017 article in Social Indicator Research on development of China is their most downloaded and read article in the last three months.
The impact of Dr Mukhopadhaya’s research is evidenced by invitations to speak at various policy forums. In October 2018, he was invited by the Beijing Normal University to deliver a policy paper on Chinese migrants to an audience of policy makers, and researchers at the International Forum of Income Distribution. In November 2016, Xiamen University offered him full financial support to deliver two lectures on development issues in China to their think tanks involved in development policy formulation and research. In December 2016, he was invited by Beijing University and CASS to speak at their Annual Workforce, and he was invited to be a part of policy consultation by the ADBI, Tokyo in relation to the development of policies for inclusive growth in Asia. CASS sponsored him three times (2012, 2014, 2016) to visit their Institute of Population and Labour Economics and Institute of Development Studies for short-term appointments (one month each time) to meet with their policy consultants and discuss his research findings. The Institute of Growth and Development at the Nanyang Technological University, Singapore appointed him for two weeks (July 2013) to develop their research infrastructure. At that time, he became an Associate Editor for Singapore Economic Review, the journal of the Economic Society of Singapore. Also, in 2015, he was a guest of the Asian Development Bank (ADB) as a policy consultant to their East Asia Government Program. His research on China has been recognised through other short-term appointments as Visiting Professor at Nagoya University, Japan (three months April-June 2019), Guangzhou University, China (two weeks in November 2017), the Indian Business School, India (one month October/November 2017), the Indian Institute of Development Studies, India (two weeks, March 2010) and the Global Asia Institute of the National University of Singapore (six months, February-July 2010).
Dr Mukhopadhaya established strong collaborative relationships with policy makers through his involvements in World Bank and UNESCO projects, and have participated in five projects with the ADB. In 2014, he was invited to develop several policy papers on China, which was included in ADB’s working paper series. Currently he is an elected Council Member of the Chinese Economic Society Australia, which aims to promote research and exchange activities related to the Chinese economy.
Selected Publications (Relevant to this Project)
Books
Yang, J and P. Mukhopadhaya (2016): China’s War against the Many Faces of Poverty – Towards a New Long March, Routledge, New York, London. ISBN: 978-1-138-81960-3 (hbk); 978-1-315-74434-6 (ebook) [Citations: 2]
P. Mukhopadhaya (2014): Income Inequality in Singapore, Routledge, London and New York. ISBN: 978-0-415-50489-8 (hbk); 978-1-315-71797-7 (ebook) [Citations: 9]
P. Mukhopadhaya, G. Shantakumar and Bhanoji Rao (2011): Economic Growth and Income Inequality in China, India and Singapore: Trends and Policy Implications, Routledge, London and New York. ISBN: 978-0-415-61646-1 (hbk); 978-0-203-80926-6 (ebook)
Book chapters
Yang, J and P. Mukhopadhaya (2019): The pattern of urban-rural disparities in multidimensional poverty in PRC: 2000-2011, in K. Jayanthakumar, R. Verma, G. Wan and E. Wilson (eds), Internal
Migration, Urbanization and Poverty in Asia: Dynamics and Interrelationships. 267-308. ADB/Springer Open, Asian Development Bank. ISBN: 978-981-13-1536-7. DOI: 10.1007/978-981-13-1537-4_10.
Refereed Journal Articles
Yang, J and P. Mukhopadhaya (2019): “Is the ADB’s Conjecture on Upward Trend in Poverty for China Right? An Analysis of Income and Multidimensional Poverty in China”, Social Indicators Research 143(2), 451-477. DOI: 10.1007/s11205-018-1985-1
Pan, L., P. Mukhopadhaya, J. Li (2018): “The changing texture of the city-size wage differential in Chinese cities – Effects of skill and identity”, China Economic Review. DOI:10.1016/j.chieco.2018.09.008
Yang, J and P. Mukhopadhaya (2017): “Disparities in the Level of Poverty in China: Evidence from China Family Panel Studies 2010”, Social Indicators Research, 132: 411-450 DOI 10.1007/s11205-016-1228-2
Pan, L., P. Mukhopadhaya and J. Li (2016): "City size and Wage Disparity in Segmented Labour Market in China", Australian Economic Papers, DOI 10.1111/1467-8454.12065
3.4. CASS project leader
Name Deng Zhongliang
3.5. Language proficiency (Rated 1-10)
Where relevant, specify for languages other than English and Mandarin.
Language Speaking Reading Writing
English 10 10 10
Mandarin 10 10 10
Other
3.6. Summary of academic qualifications, career, and publications as they relate to this project
Dr. Deng is currently employed as an assistant researcher at the Institute of Population and Labor Economics (IPLE), Chinese Academy of Social Science (CASS). He received his Ph.D in economics (Renming University, Beijing, China) and a Master's degree in Engineering (Tongji University, Shanghai, China), he was an Engineer of Architectural Planning and Design in the China Architecture Design & Research Institute (2011.07-2015.07), and he was also an assistant Director of Government Research Office in the Beijing Dongcheng District (2016.06-2016.12). His research focus is on Spatial Economics,
Labor Economics and Macroeconomics, related research topics conclude Migration and urban scale, industrial agglomeration and regional development policy.
Dr. Deng has published one book (Sole Author), From Agglomeration to Equilibrium: A Study on the Industry-Space Matching Mechanism of China's Economic Growth, Beijing: China Social Science Press, September, 2019. And he has also published more than 10 academic journal papers in Chinese (see below), which in the field of industrial agglomeration, labor market, and has given several conference presentation in University of Coimbra in Portugal, Nordregio, in Stockholm of Sweden, Oslo Metropolitan University in Norway and other seminars and conferences in China.
Dr. Deng has taken active part in the policy making research, he has hold at least 4 policy funding of Beijing Dongcheng district government, and participated in more than 10 research funding of China’s National Development and Reform Commission, Beijing Civil Affairs Bureau, and other Research Grants from local governments in China.
Papers:
DENG Zhong-liang, Zhang Keyun, Why Does the Spatial Differentiation of China's Economic Growth Still Exist? An Interpretation of Spatial Economics, Economic Research Journal, 2019. (Chinese,CSSCI, forcoming)
Zhang Juwei, Deng Zhongliang, Exploring the Industrial Path of “Two mountain concept” to Promote Economic Transformation and Upgrading: Thinking About the Development of China's “Ecology+Great health” Industries, Dongyue Tribune, 2019(6): 34-41. (Chinese,CSSCI)
DENG Zhong-liang, A View of China-U.S Trade Conflicts from the Perspective of China-U.S Trade Structure, China Business and Market, 2018(10): 80-92. (Chinese,CSSCI)
DENG Zhong-liang, ZHANG Keyun, The Effectiveness of Industrial Policy and Improvement Direction of Industrial Policy in China, China Business and Market, 2017(11):165-176.
DENG Zhong-liang, ZHANG Keyun, Research Review and Latest Progress of Matching Issues Between Industry And Space, Inquiry Into Economic Issues, 2017(11):165-176. (Chinese,CSSCI)
DENG Zhong-liang, et al. The Construction Logic of Regional Cooperation Framework for "One Belt and One Road", China Opening Journal, 2017(2):17-22. (Chinese,CSSCI)
Zhang Keyun, Deng Zhongliang, Cai Zhibing, Beijing's Urban Development Strategy under the Coordinated Development of Beijing-Tianjin-Hebei, Jianghuai Tribune, 2016(4):46-51. (Chinese, CSSCI)
Zhang Keyun, Deng Zhongliang, Nation Rise Model and Contemporary China's National Strategy, Journal of Zhengzhou University (Philosophy and social sciences), 2016,49(5):47-55.(Chinese, CSSCI)
Zhang Keyun, Deng Zhongliang, Technological Effect and Employment Scale Effect? Research on the Decreasing Reasons of Employees’ Relative Wage, Review of Political Economy, 2016, 7(2):176-199. (Chinese, CSSCI)
Deng Zhongliang, Zhang Keyun. Research on Manufacturing Easing and Undertaking Location of Beijing Non-Capital Function, Economic Geography, 2016, 36(9):94-103. (Chinese, CSSCI)
4. Finance
Please provide details of any other funding the project leaders have sought for the project, and names of funding organisations the project leaders intend to apply for other funding from:
Currently no other funding opportunity is explored. We are planning to develop a research proposal based on the finding of this project for a future Australia Research Council – Development Project Grant in 2022/23
5. References
Each applicant must provide a short Letter of Confirmation from a supervisor or referee in support of the application. Letters should not exceed one page. Where one referee can speak for both applicants, one Letter will suffice. Applicants must ensure the Letter is submitted in a timely manner.
ASSA applicant referee: CASS applicant referee:
Name Gao Wenshu Name Wang Zhiyong
Position Professor Position Research director
Organisation Institute of Population and Labor Economics, Chinese Academy of Social Sciences (CASS)
Organisation IPLE, CASS
Relationship to applicant
No relation Relationship to applicant
Colleague
6. Agreement
We understand applications close Friday 1 November 2019, with notification of outcomes to all applicants being made as soon as is practicable. Successful applicants must invoice ASSA prior to the commencement of the project, and by no later than Monday 2 March 2020.
We understand successful applicants must provide an acquittal of funding expenditure, as well as a ~2,000 word article summarising the context of the research question, the outcomes of the research, and directions for future research, is due by Monday 1 March 2021.
We confirm the information provided in this application is complete and accurate, and we accept all terms, conditions, and notices contained in the information for applicants at:
