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

Author

Listed:
  • Subhash C. Ray

    (University of Connecticut)

  • Arpita Ghose

    (Jadavpur University)

Abstract

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.

Suggested Citation

  • Subhash C. Ray & Arpita Ghose, 2010. "Production Efficiency in Indian Agriculture: An Assessment of the Post Green Evolution Years," Working papers 2010-26, University of Connecticut, Department of Economics.
  • Handle: RePEc:uct:uconnp:2010-26
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    References listed on IDEAS

    as
    1. 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 231-239, May.
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    12. 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.
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    Cited by:

    1. Bhushan, S., 2016. "TFP Growth of Wheat and Paddy in Post-Green Revolution Era in India: Parametric and Non-Parametric Analysis," Agricultural Economics Research Review, Agricultural Economics Research Association (India), vol. 29(1).
    2. repec:eee:eneeco:v:64:y:2017:i:c:p:373-383 is not listed on IDEAS
    3. Singh, Sanjeet, 2016. "Evaluation of world’s largest social welfare scheme: An assessment using non-parametric approach," Evaluation and Program Planning, Elsevier, vol. 57(C), pages 16-29.
    4. Ghulam, Yaseen & Jaffry, Shabbar, 2015. "Efficiency and productivity of the cement industry: Pakistani experience of deregulation and privatisation," Omega, Elsevier, vol. 54(C), pages 101-115.
    5. Juo, Jia-Ching & Fu, Tsu-Tan & Yu, Ming-Miin & Lin, Yu-Hui, 2016. "Non-radial profit performance: An application to Taiwanese banks," Omega, Elsevier, vol. 65(C), pages 111-121.

    More about this item

    Keywords

    Data Envelopment Analysis; Pareto-Koopmans Efficiency; Modern and traditional inputs.;

    JEL classification:

    • Q16 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - R&D; Agricultural Technology; Biofuels; Agricultural Extension Services
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

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