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Sources of productive efficiency: International comparison of iron and steel firms

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  • Kim, Jung Woo
  • Lee, Jeong Yeon
  • Kim, Jae Yong
  • Lee, Hoe Kyung

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  • Kim, Jung Woo & Lee, Jeong Yeon & Kim, Jae Yong & Lee, Hoe Kyung, 2006. "Sources of productive efficiency: International comparison of iron and steel firms," Resources Policy, Elsevier, vol. 31(4), pages 239-246, December.
    • Handle: RePEc:eee:jrpoli:v:31:y:2006:i:4:p:239-246
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    References listed on IDEAS

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    1. Ma, Jinlong & Evans, David G. & Fuller, Robert J. & Stewart, Donald F., 2002. "Technical efficiency and productivity change of China's iron and steel industry," International Journal of Production Economics, Elsevier, vol. 76(3), pages 293-312, April.
    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. Rafael Cuesta, 2000. "A Production Model With Firm-Specific Temporal Variation in Technical Inefficiency: With Application to Spanish Dairy Farms," Journal of Productivity Analysis, Springer, vol. 13(2), pages 139-158, March.
    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. Jefferson, Gary H., 1990. "China's iron and steel industry : Sources of enterprise efficiency and the impact of reform," Journal of Development Economics, Elsevier, vol. 33(2), pages 329-355, October.
    6. 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.
    7. Kumbhakar, Subal C., 1990. "Production frontiers, panel data, and time-varying technical inefficiency," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 201-211.
    8. Coelli, Tim & Perelman, Sergio, 1999. "A comparison of parametric and non-parametric distance functions: With application to European railways," European Journal of Operational Research, Elsevier, vol. 117(2), pages 326-339, September.
    9. Ray, Subhash C. & Kim, Hiung Joon, 1995. "Cost efficiency in the US steel industry: A nonparametric analysis using data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 80(3), pages 654-671, February.
    10. 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.
    11. 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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    Cited by:

    1. Sheng, Yu & Xu, Xinpeng & Rozelle, Scott, 2024. "Market structure, resource allocation, and industry productivity growth: Firm-level evidence from China's steel industry," China Economic Review, Elsevier, vol. 83(C).
    2. Konstantinos Koasidis & Alexandros Nikas & Hera Neofytou & Anastasios Karamaneas & Ajay Gambhir & Jakob Wachsmuth & Haris Doukas, 2020. "The UK and German Low-Carbon Industry Transitions from a Sectoral Innovation and System Failures Perspective," Energies, MDPI, vol. 13(19), pages 1-34, September.
    3. Honma, Satoshi & Hu, Jin-Li, 2014. "Industry-level total-factor energy efficiency in developed countries: A Japan-centered analysis," Applied Energy, Elsevier, vol. 119(C), pages 67-78.

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