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DEA based yardstick competition in natural resource management

  • Bogetoft, Peter
  • Nielsen, Kurt

In this paper, we discuss the pros and cons of using Data Envelopment Analysis (DEA) to evaluate and enhance the efficiency of natural resource management. The need for a multidimensional production frontier approach is sketched, along with examples from other regulated multi-output industries, Also, reviews of the basic properties of DEA and DEA based yardstick competition are provided. Finally, we discuss the use of DEA based yardstick to evaluate bids in multi-dimensional procurement auctions.

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File URL: http://purl.umn.edu/57928
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Paper provided by Australian Agricultural and Resource Economics Society in its series 2003 Conference (47th), February 12-14, 2003, Fremantle, Australia with number 57928.

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Date of creation: Feb 2003
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Handle: RePEc:ags:aare03:57928
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  12. Banker, Rajiv D., 1980. "A game theoretic approach to measuring efficiency," European Journal of Operational Research, Elsevier, vol. 5(4), pages 262-266, October.
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  14. Banker, R. D. & Charnes, A. & Cooper, W. W. & Clarke, R., 1989. "Constrained game formulations and interpretations for data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 40(3), pages 299-308, June.
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  17. Dalen, Dag Morten & Gomez-Lobo, Andres, 1997. "Estimating cost functions in regulated industries characterized by asymmetric information," European Economic Review, Elsevier, vol. 41(3-5), pages 935-942, April.
  18. Førsund, Finn R. & Kittelsen, Sverre A. C., 1998. "Productivity development of Norwegian electricity distribution utilities," Resource and Energy Economics, Elsevier, vol. 20(3), pages 207-224, September.
  19. Uwe Latacz-Lohmann & Carel P. C. M. Hamsvoort, 1998. "Auctions as a Means of Creating a Market for Public Goods from Agriculture," Journal of Agricultural Economics, Wiley Blackwell, vol. 49(3), pages 334-345.
  20. Thanassoulis, Emmanuel, 2000. "DEA and its use in the regulation of water companies," European Journal of Operational Research, Elsevier, vol. 127(1), pages 1-13, November.
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