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The Productivity Debate of East Asia Revisited: A Stochastic Frontier Approach

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  • Young Hoon Lee
  • Sangho Kim

Abstract

This paper applies a stochastic frontier production model to the data from Penn World Table’s 49 countries over the period 1965-1990, to decompose total factor productivity growth into technical change and technical efficiency change. Empirical results show East Asian countries led the whole world in productivity growth, mainly because their technical efficiency gain was so much faster than that of other countries. East Asian countries also registered rapid technical change, which was comparable to that of the G6 countries after the late 1980s. The results provide evidence that negate the hypothesis that East Asian growth was mostly input-driven and unsustainable.

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Bibliographic Info

Paper provided by Econometric Society in its series Econometric Society 2004 Far Eastern Meetings with number 776.

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Date of creation: 11 Aug 2004
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Handle: RePEc:ecm:feam04:776

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Keywords: East Asian Growth; stochastic frontier production model; total factor productivity; technical progress; technical efficiency;

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  1. Renuka Mahadevan, 2003. "To Measure or Not To Measure Total Factor Productivity Growth?," Oxford Development Studies, Taylor and Francis Journals, vol. 31(3), pages 365-378.
  2. Kim Jong-Il & Lau Lawrence J., 1994. "The Sources of Economic Growth of the East Asian Newly Industrialized Countries," Journal of the Japanese and International Economies, Elsevier, vol. 8(3), pages 235-271, September.
  3. Pitt, Mark M. & Lee, Lung-Fei, 1981. "The measurement and sources of technical inefficiency in the Indonesian weaving industry," Journal of Development Economics, Elsevier, vol. 9(1), pages 43-64, August.
  4. Schmidt, Peter & Sickles, Robin C, 1984. "Production Frontiers and Panel Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 2(4), pages 367-74, October.
  5. Mahadevan, Renuka & Kalirajan, Kali, 2000. "Singapore's Manufacturing Sector's TFP Growth: A Decomposition Analysis," Journal of Comparative Economics, Elsevier, vol. 28(4), pages 828-839, December.
  6. Kumbhakar, Subal C., 1990. "Production frontiers, panel data, and time-varying technical inefficiency," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 201-211.
  7. Cornwell, Christopher & Schmidt, Peter & Sickles, Robin C., 1989. "Production Frontiers With Cross-Sectinal And Time-Series Variation In Efficiency Levels," Working Papers 89-18, C.V. Starr Center for Applied Economics, New York University.
  8. Pack, Howard & Westphal, Larry E., 1986. "Industrial strategy and technological change : Theory versus reality," Journal of Development Economics, Elsevier, vol. 22(1), pages 87-128, June.
  9. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
  10. Meeusen, Wim & van den Broeck, Julien, 1977. "Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 18(2), pages 435-44, June.
  11. Fare, Rolf & Shawna Grosskopf & Mary Norris & Zhongyang Zhang, 1994. "Productivity Growth, Technical Progress, and Efficiency Change in Industrialized Countries," American Economic Review, American Economic Association, vol. 84(1), pages 66-83, March.
  12. Young, Alwyn, 1995. "The Tyranny of Numbers: Confronting the Statistical Realities of the East Asian Growth Experience," The Quarterly Journal of Economics, MIT Press, vol. 110(3), pages 641-80, August.
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Cited by:
  1. Kim, Sangho & Park, Donghyun & Park, Jong-Ho, 2009. "Productivity Growth in Different Firm Sizes in the Malaysian Manufacturing Sector: An Empirical Investigation," ADB Economics Working Paper Series 176, Asian Development Bank.
  2. Carlos Pestana Barros & Gustavo Ferro & Carlos Romero, 2008. "Technical Efficiency and Heterogeneity of Argentina Pension Funds," Working Papers 2008/29, Department of Economics at the School of Economics and Management (ISEG), Technical University of Lisbon..
  3. Seung Ahn & Young Lee & Peter Schmidt, 2007. "Stochastic frontier models with multiple time-varying individual effects," Journal of Productivity Analysis, Springer, vol. 27(1), pages 1-12, February.

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