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The Role Of Non-Parametric Approach In Adjusting Productivity Measures For Environmental Impacts

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  • Shaik, Saleem
  • Perrin, Richard K.

Abstract

This paper addresses the role of non-parametric analysis in adjusting agricultural productivity measures for environmental impacts. The modified Tornquist-Theil index computed using shadow prices derived from the programming procedures is compared and contrasted with a non-parametric hyperbolic graph productivity index for the case of Nebraska agriculture.

Suggested Citation

  • Shaik, Saleem & Perrin, Richard K., 1999. "The Role Of Non-Parametric Approach In Adjusting Productivity Measures For Environmental Impacts," 1999 Annual meeting, August 8-11, Nashville, TN 21716, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  • Handle: RePEc:ags:aaea99:21716
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    File URL: http://purl.umn.edu/21716
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    References listed on IDEAS

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    1. Rolf Färe & Shawna Grosskopf, 1998. "Shadow Pricing of Good and Bad Commodities," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 80(3), pages 584-590.
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    Cited by:

    1. Rezek, Jon P. & Perrin, Richard K., 2004. "Environmentally Adjusted Agricultural Productivity in the Great Plains," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 29(02), August.
    2. Hailu, Atakelty & Veeman, Terrence S., 2001. "Alternative methods for environmentally adjusted productivity analysis," Agricultural Economics, Blackwell, vol. 25(2-3), pages 211-218, September.
    3. Shaik, Saleem & Helmers, Glenn A. & Langemeier, Michael R., 2002. "Direct And Indirect Shadow Price And Cost Estimates Of Nitrogen Pollution Abatement," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 27(02), December.

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