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Non-Parametric Approaches To Environmentally Sensitive Analysis Of Economic Performance: Technical Change And Productivity Growth In The Canadian Pulp And Paper Industry, 1959-1994

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  • Hailu, Atakelty
  • Veeman, Terrence S.

Abstract

This study proposes non-parametric techniques for environmentally sensitive analysis of economic performance. The techniques are implemented using Canadian pulp and paper industry data covering the period from 1959 to 1994. The results indicate that productivity improvement has been more successful than conventional measures would suggest.

Suggested Citation

  • Hailu, Atakelty & Veeman, Terrence S., 1998. "Non-Parametric Approaches To Environmentally Sensitive Analysis Of Economic Performance: Technical Change And Productivity Growth In The Canadian Pulp And Paper Industry, 1959-1994," 1998 Annual meeting, August 2-5, Salt Lake City, UT 20813, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    • Handle: RePEc:ags:aaea98:20813
    DOI: 10.22004/ag.econ.20813
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    References listed on IDEAS

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    5. Hanoch, Giora & Rothschild, Michael, 1972. "Testing the Assumptions of Production Theory: A Nonparametric Approach," Journal of Political Economy, University of Chicago Press, vol. 80(2), pages 256-275, March-Apr.
    6. Caves, Douglas W & Christensen, Laurits R & Diewert, W Erwin, 1982. "Multilateral Comparisons of Output, Input, and Productivity Using Superlative Index Numbers," Economic Journal, Royal Economic Society, vol. 92(365), pages 73-86, March.
    7. Hailu, Atakelty & Veeman, Terrence S., 2000. "Environmentally Sensitive Productivity Analysis of the Canadian Pulp and Paper Industry, 1959-1994: An Input Distance Function Approach," Journal of Environmental Economics and Management, Elsevier, vol. 40(3), pages 251-274, November.
    8. Chavas, Jean-Paul & Aliber, Michael & Cox, Thomas L., 1994. "A Nonparametric Analysis Of The Source And Nature Of Technical Change: The Case Of U.S. Agriculture," Staff Papers 12660, University of Wisconsin-Madison, Department of Agricultural and Applied Economics.
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