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Cost efficiency in the US steel industry: A nonparametric analysis using data envelopment analysis


  • Ray, Subhash C.
  • Kim, Hiung Joon


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  • 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.
  • Handle: RePEc:eee:ejores:v:80:y:1995:i:3:p:654-671

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    References listed on IDEAS

    1. Morrison, Catherine, 1988. "Subequilibrium in the North American Steel Industries: A Study of Short Run Biases from Regulation and Utilisation Fluctuations," Economic Journal, Royal Economic Society, vol. 98(391), pages 390-411, June.
    2. Jorgenson, Dale W, 1988. "Productivity and Postwar U.S. Economic Growth," Journal of Economic Perspectives, American Economic Association, vol. 2(4), pages 23-41, Fall.
    3. Levy, Robert A & Jondrow, James M, 1986. "The Adjustment of Employment to Technical Change in the Steel and Auto Industries," The Journal of Business, University of Chicago Press, vol. 59(3), pages 475-491, July.
    4. Banker, Rajiv D & Maindiratta, Ajay, 1988. "Nonparametric Analysis of Technical and Allocative Efficiencies in Production," Econometrica, Econometric Society, vol. 56(6), pages 1315-1332, November.
    5. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    6. Varian, Hal R, 1984. "The Nonparametric Approach to Production Analysis," Econometrica, Econometric Society, vol. 52(3), pages 579-597, May.
    7. Tulkens, H. & Vanden Eeckaut, Ph., 1991. "Non-frontier measures of efficiency, progress and regress," CORE Discussion Papers 1991055, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    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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    Cited by:

    1. Jung Woo Kim & Jeong Yeon Lee & Jae Yong Kim & Hoe Kyung Lee, 2005. "Technical Efficiency in the Iron and Steel Industry: A Stochastic Frontier Approach," Economics Study Area Working Papers 75, East-West Center, Economics Study Area.
    2. Tone, Kaoru & Sahoo, Biresh K., 2005. "Evaluating cost efficiency and returns to scale in the Life Insurance Corporation of India using data envelopment analysis," Socio-Economic Planning Sciences, Elsevier, vol. 39(4), pages 261-285, December.
    3. Sahoo, Biresh K. & Mehdiloozad, Mahmood & Tone, Kaoru, 2014. "Cost, revenue and profit efficiency measurement in DEA: A directional distance function approach," European Journal of Operational Research, Elsevier, vol. 237(3), pages 921-931.
    4. Jerry Blomberg & Bo Jonsson, 2011. "Evaluating the efficiency of the global primary aluminum smelting industry: a data envelopment approach," Mineral Economics, Springer;Raw Materials Group (RMG);Luleå University of Technology, vol. 24(1), pages 29-44, July.
    5. Dervaux, Benoît & Kerstens, Kristiaan & Vanden Eeckaut, Philippe, 1998. "Radial and nonradial static efficiency decompositions: a focus on congestion measurement," Transportation Research Part B: Methodological, Elsevier, vol. 32(5), pages 299-312, June.
    6. 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.

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