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Production Efficiency in Indian Agriculture: An Assessment of the Post Green Evolution Years

  • Subhash C. Ray

    (University of Connecticut)

  • Arpita Ghose

    (Jadavpur University)

In this paper we use the nonparametric approach of Data Envelopment Analysis (DEA) to obtain Pareto-Koopmans measures of technical efficiency of individual states in India over the years 1970-71 through 2000-01 in a multi-output, multi-input model of agricultural production. The Pareto-Koopmans measure is a complete measure of efficiency that reflects all unrealized potential for increasing \textit{any} output and decreasing \textit{any} input that the firm has failed to exploit. In our empirical analysis, we disaggregate overall efficiency into two distinct components representing output and input efficiencies and identify the contributions of individual outputs and inputs to the measured level of overall efficiency. Because introduction of modern inputs has been a major component of the process of modernization of Indian agriculture, we examine to what extent different states succeeded in utilizing the modern inputs compared to the traditional inputs. Finally, we use regression analysis to explain variations in efficiency across states in terms of differences in various infra-structural, institutional, and demographic factors.

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Paper provided by University of Connecticut, Department of Economics in its series Working papers with number 2010-26.

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Length: 30 pages
Date of creation: Oct 2010
Date of revision:
Handle: RePEc:uct:uconnp:2010-26
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  1. Timothy Besley & Robin Burgess, 1998. "Land Reform, Poverty Reduction and Growth: Evidence from India," STICERD - Development Economics Papers - From 2008 this series has been superseded by Economic Organisation and Public Policy Discussion Papers 13, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
  2. Silva Portela, Maria Conceicao A. & Thanassoulis, Emmanuel, 2005. "Profitability of a sample of Portuguese bank branches and its decomposition into technical and allocative components," European Journal of Operational Research, Elsevier, vol. 162(3), pages 850-866, May.
  3. Tone, Kaoru, 2001. "A slacks-based measure of efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 130(3), pages 498-509, May.
  4. Ray, Subhash C. & Jeon, Yongil, 2008. "Reputation and efficiency: A non-parametric assessment of America's top-rated MBA programs," European Journal of Operational Research, Elsevier, vol. 189(1), pages 245-268, August.
  5. Charnes, A. & Cooper, W. W. & Golany, B. & Seiford, L. & Stutz, J., 1985. "Foundations of data envelopment analysis for Pareto-Koopmans efficient empirical production functions," Journal of Econometrics, Elsevier, vol. 30(1-2), pages 91-107.
  6. Abhijit Banerjee & Lakshmi Iyer, 2010. "History Institutions and Economic Performance: The Legacy of Colonial Land Tenure Systems in India," Working Papers id:2811, eSocialSciences.
  7. Tadesse, Bedassa & Krishnamoorthy, S., 1997. "Technical efficiency in paddy farms of Tamil Nadu: an analysis based on farm size and ecological zone," Agricultural Economics of Agricultural Economists, International Association of Agricultural Economists, vol. 16(3), August.
  8. K. Kalirajan, 1981. "An Econometric Analysis of Yield Variability in Paddy Production," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 29(3), pages 283-294, November.
  9. Asmild, Mette & Pastor, Jesús T., 2010. "Slack free MEA and RDM with comprehensive efficiency measures," Omega, Elsevier, vol. 38(6), pages 475-483, December.
  10. Deininger, Klaus & Squire, Lyn, 1998. "New ways of looking at old issues: inequality and growth," Journal of Development Economics, Elsevier, vol. 57(2), pages 259-287.
  11. Edelstein, Barak & Paradi, Joseph C., 2013. "Ensuring units invariant slack selection in radial data envelopment analysis models, and incorporating slacks into an overall efficiency score," Omega, Elsevier, vol. 41(1), pages 31-40.
  12. Kumbhakar, Subal C & Bhattacharyya, Arunava, 1992. "Price Distortions and Resource-Use Efficiency in Indian Agriculture: A Restricted Profit Function Approach," The Review of Economics and Statistics, MIT Press, vol. 74(2), pages 231-39, May.
  13. 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.
  14. Dietrich Vollrath, 2007. "Land Distribution and International Agricultural Productivity," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 89(1), pages 202-216.
  15. Jeon, Yoong-Deok & Kim, Young-Yong, 2000. "Land Reform, Income Redistribution, and Agricultural Production in Korea," Economic Development and Cultural Change, University of Chicago Press, vol. 48(2), pages 253-68, January.
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