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Economics of efficiency measurement by the DEA approach

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  • Jati Sengupta

Abstract

Three aspects of efficiency measurement by data envelopment analysis are discussed here analytically. These aspects comprise output-specific input allocations by each firm, flexibility in the production process and the role of learning by doing in efficiency improvement.

Suggested Citation

  • Jati Sengupta, 2002. "Economics of efficiency measurement by the DEA approach," Applied Economics, Taylor & Francis Journals, vol. 34(9), pages 1133-1139.
    • Handle: RePEc:taf:applec:v:34:y:2002:i:9:p:1133-1139
    DOI: 10.1080/00036840110072305
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    References listed on IDEAS

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    1. K. J. Arrow, 1971. "The Economic Implications of Learning by Doing," Palgrave Macmillan Books, in: F. H. Hahn (ed.), Readings in the Theory of Growth, chapter 11, pages 131-149, Palgrave Macmillan.
    2. Xavier de Groote, 1994. "The Flexibility of Production Processes: A General Framework," Management Science, INFORMS, vol. 40(7), pages 933-945, July.
    3. Romer, Paul M, 1990. "Endogenous Technological Change," Journal of Political Economy, University of Chicago Press, vol. 98(5), pages 71-102, October.
    4. Sengupta, Jati K., 1999. "A dynamic efficiency model using data envelopment analysis," International Journal of Production Economics, Elsevier, vol. 62(3), pages 209-218, September.
    5. Jati Sengupta, 1999. "Efficiency measurements with R&D inputs and learning by doing," Applied Economics Letters, Taylor & Francis Journals, vol. 6(10), pages 629-632.
    6. Jan A. Van Mieghem, 1998. "Investment Strategies for Flexible Resources," Management Science, INFORMS, vol. 44(8), pages 1071-1078, August.
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    Cited by:

    1. Sahoo, Biresh K. & Tone, Kaoru, 2013. "Non-parametric measurement of economies of scale and scope in non-competitive environment with price uncertainty," Omega, Elsevier, vol. 41(1), pages 97-111.
    2. Manolis Kritikos & Raphael Markellos & Gregory Prastacos, 2010. "Corporate real estate analysis: evaluating telecom branch efficiency in Greece," Applied Economics, Taylor & Francis Journals, vol. 42(9), pages 1133-1143.
    3. Desai, Anand & Ratick, Samuel J. & Schinnar, Arie P., 2005. "Data envelopment analysis with stochastic variations in data," Socio-Economic Planning Sciences, Elsevier, vol. 39(2), pages 147-164, June.
    4. Oliviero A. Carboni & Paolo Russu, 2018. "Measuring and forecasting regional environmental and economic efficiency in Italy," Applied Economics, Taylor & Francis Journals, vol. 50(4), pages 335-353, January.

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