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DEA based yardstick competition in natural resource management

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  • Bogetoft, Peter
  • Nielsen, Kurt

Abstract

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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Bibliographic Info

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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Related research

Keywords: Regulation; incentives; performance evaluation; yardstick competition; data envelopment analysis (DEA); Research Methods/ Statistical Methods; Resource /Energy Economics and Policy;

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  1. Banker, Rajiv D., 1980. "A game theoretic approach to measuring efficiency," European Journal of Operational Research, Elsevier, vol. 5(4), pages 262-266, October.
  2. Banker, Rajiv D., 1984. "Estimating most productive scale size using data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 17(1), pages 35-44, July.
  3. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
  4. Resende, Marcelo, 2002. "Relative efficiency measurement and prospects for yardstick competition in Brazilian electricity distribution," Energy Policy, Elsevier, vol. 30(8), pages 637-647, June.
  5. Simar, L. & Wilson, P.W., 1999. "Statistical Inference in Nonparametric Frontier Models: the State of the Art," Papers 9904, Catholique de Louvain - Institut de statistique.
  6. Tarja Joro & Pekka Korhonen & Jyrki Wallenius, 1998. "Structural Comparison of Data Envelopment Analysis and Multiple Objective Linear Programming," Management Science, INFORMS, vol. 44(7), pages 962-970, July.
  7. Klemperer, P., 1999. "Auction Theory: a Guide to the Literature," Economics Papers 1999-w12, Economics Group, Nuffield College, University of Oxford.
  8. Laffont, Jean-Jacques & Tirole, Jean, 1986. "Using Cost Observation to Regulate Firms," Journal of Political Economy, University of Chicago Press, vol. 94(3), pages 614-41, June.
  9. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
  10. 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.
  11. McAfee, R Preston & McMillan, John, 1987. "Auctions and Bidding," Journal of Economic Literature, American Economic Association, vol. 25(2), pages 699-738, June.
  12. Laffont, Jean-Jacques & Tirole, Jean, 1987. "Auctioning Incentive Contracts," Journal of Political Economy, University of Chicago Press, vol. 95(5), pages 921-37, October.
  13. Bowlin, William F., 1997. "A Proposal for Designing Employment Contracts for Government Managers," Socio-Economic Planning Sciences, Elsevier, vol. 31(3), pages 205-216, September.
  14. 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.
  15. 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.
  16. 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.
  17. Laffont, Jean-Jacques, 1994. "The New Economics of Regulation Ten Years After," Econometrica, Econometric Society, vol. 62(3), pages 507-37, May.
  18. Uwe Latacz-Lohmann & Carel Van der Hamsvoort, 1997. "Auctioning Conservation Contracts: A Theoretical Analysis and an Application," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 79(2), pages 407-418.
  19. J. Riley & E. Maskin, 1981. "Optimal Auctions with Risk Averse Buyers," Working papers 311, Massachusetts Institute of Technology (MIT), Department of Economics.
  20. Peter Bogetoft, 2000. "DEA and Activity Planning under Asymmetric Information," Journal of Productivity Analysis, Springer, vol. 13(1), pages 7-48, January.
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Cited by:
  1. Jens Leth Hougaard & Kurt Nielsen & Athanasios Papakonstantinou, 2012. "A Simple Multi-attribute Yardstick Auction Without Prior Scoring," MSAP Working Paper Series 02_2012, University of Copenhagen, Department of Food and Resource Economics.
  2. Juan Aparicio & Mercedes Landete & Juan Monge & Inmaculada Sirvent, 2008. "A new pricing scheme based on DEA for iterative multi-unit combinatorial auctions," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer, vol. 16(2), pages 319-344, December.

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