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Non-Parametric Environmental Adjusted Productivity (Eap) Measures: Nebraska Agriculture Sector

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  • Shaik, Saleem
  • Perrin, Richard K.

Abstract

Traditional Total factor productivity [TFP] misrepresents the true change in agricultural productivity because environmental bads jointly produced with desirable outputs are unaccounted. Nonparametric measures incorporating environmental bads support the hypothesis that prior [after] to 1980's the traditional TFP overstate [understate] production growths, reflecting peak use of chemicals.

Suggested Citation

  • Shaik, Saleem & Perrin, Richard K., 1998. "Non-Parametric Environmental Adjusted Productivity (Eap) Measures: Nebraska Agriculture Sector," 1998 Annual meeting, August 2-5, Salt Lake City, UT 20816, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    • Handle: RePEc:ags:aaea98:20816
    DOI: 10.22004/ag.econ.20816
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    References listed on IDEAS

    as
    1. Fare, Rolf, 1989. "Multilateral Productivity Comparisons When Some Outputs Are Undesirable: A Nonparametric Approach," The Review of Economics and Statistics, MIT Press, vol. 71(1), pages 90-98, February.
    2. Pittman, Russell W, 1983. "Multilateral Productivity Comparisons with Undesirable Outputs," Economic Journal, Royal Economic Society, vol. 93(372), pages 883-891, December.
    3. Glazyrina, Anna & Shaik, Saleem, 2010. "Risk Adjusted Productivity Measures," 2010 Annual Meeting, February 6-9, 2010, Orlando, Florida 56580, Southern Agricultural Economics Association.
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    Cited by:

    1. Christopher O’Donnell, 2022. "How to Build Sustainable Productivity Indexes," CEPA Working Papers Series WP102022, School of Economics, University of Queensland, Australia.
    2. Saleem Shaik & Joseph Atwood, 2020. "A Comparative Study of Alternative Approaches to Estimate Productivity," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 18(4), pages 747-766, December.

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