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Indian State-Level Rice Productivity And Its Impact On Poverty Alleviation

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  • Shaik, Saleem
  • Dayakar, Benhur
  • Janaiah, Aldas

Abstract

This paper has a three fold contribution to the existing literature - 1) Indian state level sorghum input and output data for the period 1970-71 to 2000-01 is collected, 2) non-parametric and parametric productivity measures are estimated, and 3) examine the impact of percent acreage under high yielding varieties and irrigation, state domestic product, productivity and five year plans on poverty alleviation using error component and SUR models.

Suggested Citation

  • Shaik, Saleem & Dayakar, Benhur & Janaiah, Aldas, 2004. "Indian State-Level Rice Productivity And Its Impact On Poverty Alleviation," 2004 Annual meeting, August 1-4, Denver, CO 20228, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  • Handle: RePEc:ags:aaea04:20228
    DOI: 10.22004/ag.econ.20228
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    References listed on IDEAS

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    1. 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.
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    3. 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.
    4. Bauer, Paul W., 1990. "Recent developments in the econometric estimation of frontiers," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 39-56.
    5. 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 435-444, June.
    6. 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.
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