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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.

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File URL: http://purl.umn.edu/21716
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Bibliographic Info

Paper provided by American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association) in its series 1999 Annual meeting, August 8-11, Nashville, TN with number 21716.

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Date of creation: 1999
Date of revision:
Handle: RePEc:ags:aaea99:21716

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Related research

Keywords: Nonparametric; Shadow price; Productivity; Environmental Economics and Policy; Productivity Analysis;

References

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  1. Rolf F�re & 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. 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.
  3. Hailu, Atakelty & Veeman, Terrence S., 2001. "Alternative methods for environmentally adjusted productivity analysis," Agricultural Economics, Blackwell, vol. 25(2-3), pages 211-218, September.

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