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Indian State-Level Sorghum Productivity Measures

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  • Behnur, Dayakar
  • Shaik, Saleem

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 linear programming productivity measures are estimated, and 3) examine the impact of policy variables like percent of high yielding varieties, percent under irrigation, and herfindahl index of seasonal production (rabi and kharif) on productivity using two way random effects panel model

Suggested Citation

  • Behnur, Dayakar & Shaik, Saleem, 2003. "Indian State-Level Sorghum Productivity Measures," 2003 Annual meeting, July 27-30, Montreal, Canada 22105, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    • Handle: RePEc:ags:aaea03:22105
    DOI: 10.22004/ag.econ.22105
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    File URL: https://ageconsearch.umn.edu/record/22105/files/sp03sh06.pdf
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    References listed on IDEAS

    as
    1. Shaik, Saleem, 2005. "Environmentally Adjusted Elasticity Measures," 2005 Annual Meeting, February 5-9, 2005, Little Rock, Arkansas 35645, Southern Agricultural Economics Association.
    Full references (including those not matched with items on IDEAS)

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    1. Shaik, Saleem & Perrin, Richard K., 2001. "Agricultural Productivity and Environmental Impacts: The Role of Non-parametric Analysis," 2001 Annual meeting, August 5-8, Chicago, IL 20565, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    2. Saleem Shaik & Glenn A Helmers & Michael Langemeier, 2005. "'Direct and Indirect Shadow Price Estimates of Nitrate Pollution Treated as an Undesirable Output and Input', Journal of Agricultural and Resource Economics Vol. 27, No. 2 (December 2002) pp: 420-432," Development and Comp Systems 0512023, University Library of Munich, Germany.

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    Keywords

    Productivity Analysis;

    Statistics

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