Non-Parametric Approaches To Environmentally Sensitive Analysis Of Economic Performance: Technical Change And Productivity Growth In The Canadian Pulp And Paper Industry, 1959-1994
AbstractThis 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.
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Bibliographic InfoPaper provided by American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association) in its series 1998 Annual meeting, August 2-5, Salt Lake City, UT with number 20813.
Date of creation: 1998
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Environmental Economics and Policy; Production Economics; Research Methods/ Statistical Methods;
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"A Nonparametric Analysis Of The Source And Nature Of Technical Change: The Case Of U.S. Agriculture,"
373, University of Wisconsin Madison, AAE.
- JEAN-PAUL CHAVAS & Michael Aliber & THOMAS L. COX, 1994. "A Nonparametric Analysis of the Source and Nature of Technical Change: the Case of U.S. Agriculture," Wisconsin-Madison Agricultural and Applied Economics Staff Papers 373, Wisconsin-Madison Agricultural and Applied Economics Department.
- Jean-Paul Chavas & Thomas L. Cox, 1994. "Nonparametric Analysis of Production Efficiency," Wisconsin-Madison Agricultural and Applied Economics Staff Papers 371, Wisconsin-Madison Agricultural and Applied Economics Department.
- 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.
- Forsund, Finn R. & Lovell, C. A. Knox & Schmidt, Peter, 1980. "A survey of frontier production functions and of their relationship to efficiency measurement," Journal of Econometrics, Elsevier, vol. 13(1), pages 5-25, May.
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