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Technical Efficiency in Agricultural Production and Its Determinants: An Exploratory Study at the District Level

  • K.R. Shanmugam


    (Madras School of Economics)

  • Atheendar S. Venkataramani


    (Yale University School of Public Health, New Haven, CT 06520 (USA))

Given the importance of agriculture to the well being of a large percentage of India’s population, it becomes important to study how improvements can be made in the productivity of this sector. This study attempts to estimate the technical efficiency – a measure of how well inputs are being used towards producing output – of about 250 Indian districts in 1990-91. It employs the stochastic frontier function methodology. The results indicate that (i) the land elasticity is the highest followed by fertilizer; (ii) the mean efficiency of raising agricultural output is 79 per cent and therefore there is a scope for increasing output by 21 per cent without additional resources; (iii) states such as Madhya Pradesh, Uttar Pradesh, and Rajasthan have the largest number of districts with below average TE and they stand to gain the most from policy interventions towards improving technical efficiency. The results further indicate that health, education, and infrastructure are powerful drivers of efficiency at the district level and the relative importance of the determinants of efficiency across districts depends greatly on environmental factors, such as agro-climatic zones, technological factors, and crop mix. The results highlight the need for developing policy strategies at a more localized level.

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Paper provided by Madras School of Economics,Chennai,India in its series Working Papers with number 2006-010.

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Length: 17 pages
Date of creation: Jun 2006
Date of revision:
Handle: RePEc:mad:wpaper:2006-010
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  1. 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.
  2. Forsund, Finn R. & Lovell, C. A. Knox & Schmidt, Peter, 1980. "A survey of frontier production functions and of their relationship to efficiency measurement," Journal of Econometrics, Elsevier, vol. 13(1), pages 5-25, May.
  3. Robert J. Barro, 1995. "Inflation and Economic Growth," NBER Working Papers 5326, National Bureau of Economic Research, Inc.
  4. David E. Bloom & David Canning & Jaypee Sevilla, 2001. "The Effect of Health on Economic Growth: Theory and Evidence," NBER Working Papers 8587, National Bureau of Economic Research, Inc.
  5. Jondrow, James & Knox Lovell, C. A. & Materov, Ivan S. & Schmidt, Peter, 1982. "On the estimation of technical inefficiency in the stochastic frontier production function model," Journal of Econometrics, Elsevier, vol. 19(2-3), pages 233-238, August.
  6. 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.
  7. Battese, George E., 1992. "Frontier production functions and technical efficiency: a survey of empirical applications in agricultural economics," Agricultural Economics, Blackwell, vol. 7(3-4), pages 185-208, October.
  8. Abigail Barr, 1995. "The missing factor: entrepreneurial networks, enterprises and economic growth in Ghana," CSAE Working Paper Series 1995-11, Centre for the Study of African Economies, University of Oxford.
  9. Martin, Philippe & Rogers, Carol Ann, 1997. "Stabilization Policy, Learning-by-Doing, and Economic Growth," Oxford Economic Papers, Oxford University Press, vol. 49(2), pages 152-66, April.
  10. Mickael Lothgren, 2000. "Specification and estimation of stochastic multiple-output production and technical inefficiency," Applied Economics, Taylor & Francis Journals, vol. 32(12), pages 1533-1540.
  11. Rayaprolu Nagaraj & Aristomène Varoudakis & Marie-Ange Véganzonès, 1998. "Long-Run Growth Trends and Convergence Across Indian States," OECD Development Centre Working Papers 131, OECD Publishing.
  12. Tadesse, Bedassa & Krishnamoorthy, S., 1997. "Technical efficiency in paddy farms of Tamil Nadu: An analysis based on farm size and ecological zone," Agricultural Economics, Blackwell, vol. 16(3), pages 185-192, August.
  13. Bhargava, Alok & Jamison, Dean T. & Lau, Lawrence J. & Murray, Christopher J. L., 2001. "Modeling the effects of health on economic growth," Journal of Health Economics, Elsevier, vol. 20(3), pages 423-440, May.
  14. Battese, George E., 1992. "Frontier production functions and technical efficiency: a survey of empirical applications in agricultural economics," Agricultural Economics of Agricultural Economists, International Association of Agricultural Economists, vol. 7(3-4), October.
  15. Deolalikar, Anil B, 1988. "Nutrition and Labor Productivity in Agriculture: Estimates for Rural South India," The Review of Economics and Statistics, MIT Press, vol. 70(3), pages 406-13, August.
  16. Mitra, Arup & Varoudakis, Aristomene & Veganzones-Varoudakis, Marie-Ange, 2002. "Productivity and Technical Efficiency in Indian States' Manufacturing: The Role of Infrastructure," Economic Development and Cultural Change, University of Chicago Press, vol. 50(2), pages 395-426, January.
  17. Bauer, Paul W., 1990. "Recent developments in the econometric estimation of frontiers," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 39-56.
  18. Meeusen, Wim & van den Broeck, Julien, 1977. "Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 18(2), pages 435-44, June.
  19. David E. Bloom & David Canning, 2004. "The Health and Wealth of Africa," World Economics, World Economics, Economic & Financial Publishing, 1 Ivory Square, Plantation Wharf, London, United Kingdom, SW11 3UE, vol. 5(2), pages 57-81, April.
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