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Privatization, Soft Budget Constraint, and Social Burdens: A Random-Effects Stochastic Frontier Analysis on Chinese Manufacturing Technical Efficiency

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  • Gao, Song

Abstract

Traditional panel stochastic frontier studies on privatization of Chinese State-owned firms face a major challenge, namely, the endogeneity problem. The endogeneity problem is present because decision-making process of privatization in China is very likely influenced by some unobserved characteristics of a firm. In particular, better-performing SOEs are more likely to be chosen for privatization because the local governments may have incentives to attract private investors or to retain momentum for future reform. To deal with this challenge, this paper proposes a two-step stochastic frontier model. The first step addresses the endogeneity issue by estimating the probability of privatization with a random effects probit model. The second step estimation investigates the causes of Chinese manufacturing’s inefficiency with a random-effects stochastic frontier model. The estimation results suggest that privatization, hardening budget constraint and reducing firms’ social obligations have significantly contributed to the improvements of firms’ efficiency. However, no evidence is found that more autonomy for managers and lower debt asset ratio may help improve firms’ efficiency.

Suggested Citation

  • Gao, Song, 2010. "Privatization, Soft Budget Constraint, and Social Burdens: A Random-Effects Stochastic Frontier Analysis on Chinese Manufacturing Technical Efficiency," MPRA Paper 24765, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:24765
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    File URL: https://mpra.ub.uni-muenchen.de/24765/1/MPRA_paper_24765.pdf
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    References listed on IDEAS

    as
    1. Dong, Xiao-yuan & Putterman, Louis & Unel, Bulent, 2006. "Privatization and firm performance: A comparison between rural and urban enterprises in China," Journal of Comparative Economics, Elsevier, vol. 34(3), pages 608-633, September.
    2. 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 435-444, June.
    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 367-374, October.
    5. Cornwell, Christopher & Schmidt, Peter & Sickles, Robin C., 1990. "Production frontiers with cross-sectional and time-series variation in efficiency levels," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 185-200.
    6. Shahid Yusuf & Kaoru Nabeshima & Dwight H. Perkins, 2005. "Under New Ownership : Privatizing China's State-Owned Enterprises," World Bank Publications, The World Bank, number 7399, July.
    7. Battese, G E & Coelli, T J, 1995. "A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data," Empirical Economics, Springer, vol. 20(2), pages 325-332.
    8. 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.
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    More about this item

    Keywords

    Panel data; random effects; technical efficiency; stochastic frontier; privatization; soft-budget constraint; managerial incentives; social burdens;

    JEL classification:

    • D2 - Microeconomics - - Production and Organizations
    • O53 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Asia including Middle East
    • C3 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables
    • P31 - Economic Systems - - Socialist Institutions and Their Transitions - - - Socialist Enterprises and Their Transitions

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