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DEA Based Yardstick Competition in Natural Resource Management

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  • Peter Bogetoft

    (Royal Veterinary and Agricultural University, Denmark)

  • Kurt Nielsen

    (Royal Veterinary and Agricultural University, Denmark)

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 multi-dimensional 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://www.econ.ku.dk/cie/dp/dp_2000-2002/2002-04.pdf/
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Bibliographic Info

Paper provided by University of Copenhagen. Department of Economics. Centre for Industrial Economics in its series CIE Discussion Papers with number 2002-04.

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Length: 24 pages
Date of creation: Nov 2002
Date of revision:
Handle: RePEc:kud:kuieci:2002-04

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Keywords: Regulation; Incentives; Performance Evaluation; Auctions; Yardstick Competition; Data Envelopment Analysis (DEA);

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References

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  1. 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.
  2. 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.
  3. 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.
  4. Paul Klemperer, 1999. "Auction Theory: A Guide to the Literature," Economics Series Working Papers 1999-W12, University of Oxford, Department of Economics.
  5. 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.
  6. Laffont, Jean-Jacques, 1992. "The New Economics of Regulation Ten Years After," IDEI Working Papers 22, Institut d'Économie Industrielle (IDEI), Toulouse.
  7. 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.
  8. Banker, Rajiv D., 1980. "A game theoretic approach to measuring efficiency," European Journal of Operational Research, Elsevier, vol. 5(4), pages 262-266, October.
  9. Jean Tirole & Jean-Jaques Laffont, 1985. "Using Cost Observation to Regulate Firms," Working papers 368, Massachusetts Institute of Technology (MIT), Department of Economics.
  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. Laffont, Jean-Jacques & Tirole, Jean, 1987. "Auctioning Incentive Contracts," Journal of Political Economy, University of Chicago Press, vol. 95(5), pages 921-37, October.
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  13. 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.
  14. 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.
  15. 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.
  16. Léopold Simar & Paul Wilson, 2000. "Statistical Inference in Nonparametric Frontier Models: The State of the Art," Journal of Productivity Analysis, Springer, vol. 13(1), pages 49-78, January.
  17. McAfee, R Preston & McMillan, John, 1987. "Auctions and Bidding," Journal of Economic Literature, American Economic Association, vol. 25(2), pages 699-738, June.
  18. 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.
  19. Peter Bogetoft, 2000. "DEA and Activity Planning under Asymmetric Information," Journal of Productivity Analysis, Springer, vol. 13(1), pages 7-48, January.
  20. J. Riley & E. Maskin, 1981. "Optimal Auctions with Risk Averse Buyers," Working papers 311, Massachusetts Institute of Technology (MIT), Department of Economics.
  21. 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.
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Cited by:
  1. 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.
  2. 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.

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