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Dr. Godius Kahyarara Senior Lecturer, Economics Department, University of Dar-es-Salaam

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Methodologies for Measuring Benefits from Competition and Lessons: A case of Market Competition and Firm Level Performance in Tanzania. Dr. Godius Kahyarara Senior Lecturer, Economics Department, University of Dar-es-Salaam. Introduction. - PowerPoint PPT Presentation
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Dr. Godius Kahyarara Senior Lecturer, Economics Department, University of Dar-es-Salaam
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Page 1: Dr. Godius Kahyarara Senior Lecturer, Economics Department, University of Dar-es-Salaam

Dr. Godius KahyararaSenior Lecturer,

Economics Department, University of Dar-es-Salaam

Page 2: Dr. Godius Kahyarara Senior Lecturer, Economics Department, University of Dar-es-Salaam

IntroductionThe analysis presented here is for assessing

the impact of Competition on firm level performance in Tanzania manufacturing firms

Specific focus of is on product market competition triggered by economic liberalization introduced three decades ago.

The performance of firms considered here is in terms of; 1) Profit and 2) productivity

Page 3: Dr. Godius Kahyarara Senior Lecturer, Economics Department, University of Dar-es-Salaam

BackgroundThe analysis is based on two empirical works that I

have been involved. The first one is the preparation of UNCTAD II chapter on Competition. This was an assignment supported by UNCTAD during 2005/6.

Nearly five years later i.e. in 2010, World Bank Washington in collaboration with country office requested a follow up on what had happened from the time of first round analysis of 2006.

Both studies were motivated by substantial shift in market regime from inward looking state led economy to outward oriented liberal economy. Tanzania was a good case

Page 4: Dr. Godius Kahyarara Senior Lecturer, Economics Department, University of Dar-es-Salaam

What links Competition and firm level performance?

It is anticipated that competition enhances productivity of manufacturing firms.

Most significant outcome of productivity increase

can be reduced production cost, increased output, quality and profitability.

Ultimately, productivity gains will be most beneficial to consumers if competition ensures that reduced costs or increases in quality are passed on to them.

Page 5: Dr. Godius Kahyarara Senior Lecturer, Economics Department, University of Dar-es-Salaam

Approach to Both StudiesThe approach focus on relationship between

competition and productivity via three possible ways; increased internal efficiency (x-efficiency); stimulating innovation and reduced administrative barriers to entry, increased consumers driven competition through the choices they make.

Using such information we first ensured availability of rich historical data to allow ex-post versus ex-ante market situation. [data on legal, policy, pricing, sales, profit, cost, exit etc]

Page 6: Dr. Godius Kahyarara Senior Lecturer, Economics Department, University of Dar-es-Salaam

Competition Effect on firm Productivity

To assess the productivity effect of competition policy on the manufacturing sector, we estimate

the production function as follows:

321 ttttt COMLKAQ [2]

Where COM is a measure of market power or competition This amounts to re specifying our equation 1 as follows; In itMitLitKit InMInLInKInY + α COM [3]

Page 7: Dr. Godius Kahyarara Senior Lecturer, Economics Department, University of Dar-es-Salaam

Competition MeasureIn order to investigate changes in market power or concentration, we specify a concentration measure. There are a variety of indices that can be used. Most concentration measures are based on the shares of an individual firm. If we denote the number of firms in the sector as n and q represents the share of sales of an I firm at time t, then the sum of q from 1 to n will be q and the share of each firm in the market for a specified time period, say year t, would be expressed as:

t

itit q

qP i=1,…..,n and t = 1, ….., T

The market share is then measured using either concentration ratio or Herfindhal Hirschman index (HH). Herfindahl index also known as Herfindahl Hirschman Index (named after Orrris C Herfindahl and Albert O. Hirschman. It is defined as the sum of the squares of the market shares of the 50 largest firms (or summed over all the firms if there are fewer than 50) within the industry, where the market shares are expressed as fractions.

Page 8: Dr. Godius Kahyarara Senior Lecturer, Economics Department, University of Dar-es-Salaam

Concentration in Tanzania Manufacturing Sectors

1. Overall, the level of competition is still limited among Tanzanian manufacturing industries. The most of the manufacturing sectors have are highly concentrated as reflected in concentration indices such as Herfindahl-Hirshman Index (HHI) and top 3 or top 4 concentration ratios (CR-3, CR-4). Based on 2007-2008 average, ISIC Group 2 (coke) is dominated by one firm and Group 29 (machinery and equipment), Group 33 (medical, precision and optical instruments, watches and clocks), Group 35 (other transport equipment) are also highly concentrated with top three firms in each industry occupy almost all production in each industry.

2. ISIC Group 16 (tobacco products), Group 17 (textile), Group 18 (apparel), Group 19 (leather, luggage, footwear), Group 26 (other metallic mineral products), Group 27 (basic metals), Group 31 (electronic machinery and apparatus), Group 33 (motor vehicles) are also relatively concentrated. Only Group 15 (food products and beverage), Group 20 (wood products), Group 21 (paper and paper products), Group 22 (publishing and printing), Group 24 (chemical), Group 25 (rubber and plastics), Group 28 (fabricated metal products), Group 36 (furniture) show HHI less than 0.2. In all manufacturing groups except for food products and beverages, top 3 or top 4 firms in each group produce more than 50 percent of total production.

Page 9: Dr. Godius Kahyarara Senior Lecturer, Economics Department, University of Dar-es-Salaam

Top 3 Concentration Ratio: 2004-2005 Average vs. 2006-2007 Average

Page 10: Dr. Godius Kahyarara Senior Lecturer, Economics Department, University of Dar-es-Salaam

HAS COMPETITION ENHANCED FIRM LEVEL PERFORMANCE IN TANZANIA MANUFACTURING?

The OLS results indicate a positive correlation between competition and productivity. In particular it is indicated that 1 percent increase in competition results into 0.4 percent increase in productivity.

However, the results are weakly statistically significant. When the panel estimates based on GMM and Fixed Effects are introduced the correlation between competition and productivity disappear.

Page 11: Dr. Godius Kahyarara Senior Lecturer, Economics Department, University of Dar-es-Salaam

What about competition effects of Profit?

The anticipation of the analysis is that if competition has been positive to influence firm behavior such as investing in more efficient production then profit must be positively correlated with competition.

The OLS results show a positive correlation between profit and competition in Tanzania manufacturing firms.

But again when firm specific characteristics are controlled for, the results suggest no correlation between profit and competition.

We discuss such findings that our OLS results are biased such that they pick positive correlation between omitted firm specific aspects with competition and ultimately profit.

Page 12: Dr. Godius Kahyarara Senior Lecturer, Economics Department, University of Dar-es-Salaam

Conclusions and RecommendationsMajor conclusion of the study is that there are broad

ranges of micro level characteristics that influence firm performance that are not entirely addressed by macro level reforms including competition.

Besides competition has not progressed well as monopoly still exist in some areas

Exit is hard in some instances especially when multiple production exists as subsidy base

Policy actions to tackle down are needed before we can expect trickle down to materialize.

Page 13: Dr. Godius Kahyarara Senior Lecturer, Economics Department, University of Dar-es-Salaam

USEFULNESS OF THE INSTRUMENTS USED TO ASSESS COMPETITION

In assessing firm level competition concentration ratio combined with Production function were used.

In some cases competition has macro and micro level effects that cannot be adequately addressed using a single approach. Detailed historical data is required. That can link performance change with changing market environment

But a blend of Quantitative other descriptive analysis coupled with interviews is highly recommended.

THEREFORE LESSONS FOR FUTURE RESEARCH IN COMPETITION IS THAT NO ONE SHOE SIZE FITS ALL METHODOLOGY IS POSSIBLE, CASE BY CASE CONSIDERATION OF METHODOLOGY IS RECOMMENDED


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