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Production Efficiency versus Ownership: The Case of China

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  • Shiu, Alice
  • Zelenyuk, Valentin

Abstract

In this study, we explore the pattern of efficiency among enterprises in China’s 29 provinces across different ownership types in heavy and light industries and across different regions (coastal, central and western). We do so by performing a bootstrap-based analysis of group efficiencies (weighted and non-weighted), estimating and comparing densities of efficiency distributions, and conducting a bootstrapped truncated regression analysis. We find evidence of interesting differences in efficiency levels among various ownership groups, especially for foreign and local ownership, which have different patterns for light and heavy industries.

Suggested Citation

  • Shiu, Alice & Zelenyuk, Valentin, 2009. "Production Efficiency versus Ownership: The Case of China," MPRA Paper 23760, University Library of Munich, Germany, revised 22 Mar 2010.
    • Handle: RePEc:pra:mprapa:23760
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    1. Xiao-Guang Zhang & Siqi Zhang, 2001. "Technical Efficiency in China's Iron and Steel Industry: Evidence from the new census data," International Review of Applied Economics, Taylor & Francis Journals, vol. 15(2), pages 199-211.
    2. Tsybakov, A.B. & Korostelev, A.P. & Simar, L., 1992. "Efficient Estimation of Monotone Boundaries," Papers 9209, Catholique de Louvain - Institut de statistique.
    3. Helpman, Elhanan & Rangel, Antonio, 1999. "Adjusting to a New Technology: Experience and Training," Journal of Economic Growth, Springer, vol. 4(4), pages 359-383, December.
    4. Kneip, Alois & Simar, Léopold & Wilson, Paul W., 2008. "Asymptotics And Consistent Bootstraps For Dea Estimators In Nonparametric Frontier Models," Econometric Theory, Cambridge University Press, vol. 24(6), pages 1663-1697, December.
    5. Martin L. Weitzman & Chenggang Xu, 1997. "Chinese Township-Village Enterprises as Vaguely Defined Cooperatives," International Economic Association Series, in: John E. Roemer (ed.), Property Relations, Incentives and Welfare, chapter 12, pages 326-355, Palgrave Macmillan.
    6. Park, Byeong U. & Simar, Léopold & Zelenyuk, Valentin, 2008. "Local likelihood estimation of truncated regression and its partial derivatives: Theory and application," Journal of Econometrics, Elsevier, vol. 146(1), pages 185-198, September.
    7. Daniel J. Henderson & Valentin Zelenyuk, 2007. "Testing for (Efficiency) Catching-up," Southern Economic Journal, John Wiley & Sons, vol. 73(4), pages 1003-1019, April.
    8. Fare, Rolf & Zelenyuk, Valentin, 2003. "On aggregate Farrell efficiencies," European Journal of Operational Research, Elsevier, vol. 146(3), pages 615-620, May.
    9. Oulton,Nicholas & O'Mahony,Mary, 1994. "Productivity and Growth," Cambridge Books, Cambridge University Press, number 9780521453455.
    10. Daniel J. Henderson & R. Robert Russell, 2005. "Human Capital And Convergence: A Production-Frontier Approach ," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 46(4), pages 1167-1205, November.
    11. Grossman, Gene M. & Helpman, Elhanan, 1991. "Trade, knowledge spillovers, and growth," European Economic Review, Elsevier, vol. 35(2-3), pages 517-526, April.
    12. Léopold Simar & Valentin Zelenyuk, 2007. "Statistical inference for aggregates of Farrell-type efficiencies," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(7), pages 1367-1394.
    13. Valentin Zelenyuk & Vitaliy Zheka, 2006. "Corporate Governance and Firm’s Efficiency: The Case of a Transitional Country, Ukraine," Journal of Productivity Analysis, Springer, vol. 25(1), pages 143-157, April.
    14. Leopold Simar & Valentin Zelenyuk, 2006. "On Testing Equality of Distributions of Technical Efficiency Scores," Econometric Reviews, Taylor & Francis Journals, vol. 25(4), pages 497-522.
    15. Kneip, Alois & Park, Byeong U. & Simar, Léopold, 1998. "A Note On The Convergence Of Nonparametric Dea Estimators For Production Efficiency Scores," Econometric Theory, Cambridge University Press, vol. 14(6), pages 783-793, December.
    16. Simar, Leopold & Wilson, Paul W., 2007. "Estimation and inference in two-stage, semi-parametric models of production processes," Journal of Econometrics, Elsevier, vol. 136(1), pages 31-64, January.
    17. Y. Wu, 1998. "Redundancy and Firm Characteristics in Chinese State-owned Enterprises," Economics Discussion / Working Papers 98-17, The University of Western Australia, Department of Economics.
    18. Valentin Zelenyuk, 2009. "Power of significance test of dummy variables in two-stage efficiency analysis model," Applied Economics Letters, Taylor & Francis Journals, vol. 16(15), pages 1493-1495.
    19. Lin, Justin Yifu & Cai, Fang & Li, Zhou, 1998. "Competition, Policy Burdens, and State-Owned Enterprise Reform," American Economic Review, American Economic Association, vol. 88(2), pages 422-427, May.
    20. Robert Russell, R., 1990. "Continuity of measures of technical efficiency," Journal of Economic Theory, Elsevier, vol. 51(2), pages 255-267, August.
    21. Korostelev, A. P. & Simar, L. & Tsybakov, A. B., 1995. "Estimation of monotone boundaries," LIDAM Reprints CORE 1178, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    22. Subodh Kumar & R. Robert Russell, 2002. "Technological Change, Technological Catch-up, and Capital Deepening: Relative Contributions to Growth and Convergence," American Economic Review, American Economic Association, vol. 92(3), pages 527-548, June.
    23. Parente, Stephen L & Prescott, Edward C, 1994. "Barriers to Technology Adoption and Development," Journal of Political Economy, University of Chicago Press, vol. 102(2), pages 298-321, April.
    24. Theodore Groves & Yongmiao Hong & John McMillan & Barry Naughton, 1994. "Autonomy and Incentives in Chinese State Enterprises," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 109(1), pages 183-209.
    25. Wei, Zuobao & Varela, Oscar & Kabir Hassan, M., 2002. "Ownership and performance in Chinese manufacturing industry1," Journal of Multinational Financial Management, Elsevier, vol. 12(1), pages 61-78, February.
    26. Park, B.U. & Jeong, S.-O. & Simar, L., 2010. "Asymptotic distribution of conical-hull estimators of directional edges," LIDAM Reprints ISBA 2010025, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
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    Cited by:

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    2. Natalya Zelenyuk & Valentin Zelenyuk, 2014. "Regional and Ownership Drivers of Bank Efficiency," CEPA Working Papers Series WP112014, School of Economics, University of Queensland, Australia.

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    More about this item

    Keywords

    Efficiency; Data envelopment analysis; Bootstrapping; Ownership; China;
    All these keywords.

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • O4 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity
    • O12 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Microeconomic Analyses of Economic Development

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