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Trends in Total Factor Productivity in Indian Agriculture: State-level Evidence using non-parametric Sequential Malmquist Index

  • Shilpa Chaudhary

    (Department of Economics, Delhi School of Economics, Delhi, India)

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    Recognizing the critical role of agricultural sector in the overall growth as well as development performance, this study estimates total factor productivity (TFP) in Indian agriculture at state-level. Using Index of Agricultural Production as the measure of output, changes in TFP are estimated using non-parametric Sequential Malmquist TFP index. The TFP change is decomposed into efficiency change and technical change. It is found that productivity improvements are marked in very few states, and so is technical change. The improvements in efficiency are observed to be low for most of the states and efficiency decline is observed in several states implying huge gains in production possible even with existing technology. In order to achieve higher productivity, it is essential to increase efficiency levels as well as achieve a more even spread of new technology.

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    File URL: http://www.cdedse.org/pdf/work215.pdf
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    Paper provided by Centre for Development Economics, Delhi School of Economics in its series Working papers with number 215.

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    Length: 41 pages
    Date of creation: Sep 2012
    Date of revision:
    Handle: RePEc:cde:cdewps:215
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    1. Fulginiti, Lilyan E. & Perrin, Richard K., 1998. "Agricultural productivity in developing countries," Agricultural Economics of Agricultural Economists, International Association of Agricultural Economists, vol. 19(1-2), September.
    2. Fulginiti, Lilyan E. & Perrin, Richard K., 1993. "Prices and Productivity in Agriculture," Staff General Research Papers 773, Iowa State University, Department of Economics.
    3. Fulginiti, Lilyan E. & Perrin, Richard K., 1997. "LDC agriculture: Nonparametric Malmquist productivity indexes," Journal of Development Economics, Elsevier, vol. 53(2), pages 373-390, August.
    4. Lau, Lawrence J. & Yotopoulos, Pan A., 1989. "The meta-production function approach to technological change in world agriculture," Journal of Development Economics, Elsevier, vol. 31(2), pages 241-269, October.
    5. TULKENS, Henry & VANDEN EECKAUT, Philippe, 1993. "Non-Parametric Efficiency, Progress and Regress Measures for Panel Data : Methodological Aspects," CORE Discussion Papers 1993016, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    6. Peter Mawson & Kenneth I Carlaw & Nathan McLellan, 2003. "Productivity Measurement: Alternative Approaches and Estimates," Treasury Working Paper Series 03/12, New Zealand Treasury.
    7. Tim Coelli & Sanzidur Rahman & Colin Thirtle, 2003. "A stochastic frontier approach to total factor productivity measurement in Bangladesh crop agriculture, 1961-92," Journal of International Development, John Wiley & Sons, Ltd., vol. 15(3), pages 321-333.
    8. Tim J. Coelli & D.S. Prasada Rao, 2003. "Total Factor Productivity Growth in Agriculture: A Malmquist Index Analysis of 93 Countries,1980-2000," CEPA Working Papers Series WP022003, School of Economics, University of Queensland, Australia.
    9. Shenggen Fan & Peter Hazell & Sukhadeo Thorat, 2000. "Government Spending, Growth and Poverty in Rural India," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 82(4), pages 1038-1051.
    10. Kawagoe, Toshihiko & Hayami, Yujiro & Ruttan, Vernon W., 1985. "The intercountry agricultural production function and productivity differences among countries," Journal of Development Economics, Elsevier, vol. 19(1-2), pages 113-132.
    11. Viveka P. Kudaligama & John F. Yanagida, 2000. "A Comparison of Intercountry Agricultural Production Functions: A Frontier Function Approach," Journal of Economic Development, Chung-Ang Unviersity, Department of Economics, vol. 25(1), pages 57-74, June.
    12. Carlos Arnade, 1998. "Using a Programming Approach to Measure International Agricultural Efficiency and Productivity," Journal of Agricultural Economics, Wiley Blackwell, vol. 49(1), pages 67-84.
    13. Nin, Alejandro & Arndt, Channing & Preckel, Paul V., 2003. "Is agricultural productivity in developing countries really shrinking? New evidence using a modified nonparametric approach," Journal of Development Economics, Elsevier, vol. 71(2), pages 395-415, August.
    14. Arega D. Alene, 2010. "Productivity growth and the effects of R&D in African agriculture," Agricultural Economics, International Association of Agricultural Economists, vol. 41(3-4), pages 223-238, 05.
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