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.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
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
Date of revision:
Contact details of provider:
Postal: 555 East Wells Street, Suite 1100, Milwaukee, Wisconsin 53202
Phone: (414) 918-3190
Fax: (414) 276-3349
Web page: http://www.aaea.org
More information through EDIRC
Environmental Economics and Policy; Production Economics; Research Methods/ Statistical Methods;
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- 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.
- 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.
- 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,"
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.
- Ferrier, Gary D. & Lovell, C. A. Knox, 1990. "Measuring cost efficiency in banking : Econometric and linear programming evidence," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 229-245.
- 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 256-75, March-Apr.
- 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.
- Banker, Rajiv D & Maindiratta, Ajay, 1988. "Nonparametric Analysis of Technical and Allocative Efficiencies in Production," Econometrica, Econometric Society, vol. 56(6), pages 1315-32, 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.
- Fare, Rolf, et al, 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.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (AgEcon Search).
If references are entirely missing, you can add them using this form.