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Input Price Variation Across Locations and a Generalized Measure of Cost Efficiency

  • Subhash C. Ray

    (University of Connecticut)

  • Lei Chen

    (University of Connecticut)

  • Kankana Mukherjee

    (Worcester Polytechnic Institute)

We propose a nonparametric model for global cost minimization as a framework for optimal allocation of a firm's output target across multiple locations, taking account of differences in input prices and technologies across locations. This should be useful for firms planning production sites within a country and for foreign direct investment decisions by multi-national firms. Two illustrative examples are included. The first example considers the production location decision of a manufacturing firm across a number of adjacent states of the US. In the other example, we consider the optimal allocation of US and Canadian automobile manufacturers across the two countries.

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File URL: http://web2.uconn.edu/economics/working/2008-11.pdf
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Paper provided by University of Connecticut, Department of Economics in its series Working papers with number 2008-11.

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Length: 22 pages
Date of creation: Mar 2008
Date of revision:
Handle: RePEc:uct:uconnp:2008-11
Note: The authors are grateful to William W. Cooper for insightful comments and suggestions for improvement on an earlier version of the manuscript. Responsibility for errors remains with the authors.
Contact details of provider: Postal: University of Connecticut 365 Fairfield Way, Unit 1063 Storrs, CT 06269-1063
Phone: (860) 486-4889
Fax: (860) 486-4463
Web page: http://www.econ.uconn.edu/

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  1. Tulkens, Henry & Vanden Eeckaut, Philippe, 1995. "Non-parametric efficiency, progress and regress measures for panel data: Methodological aspects," European Journal of Operational Research, Elsevier, vol. 80(3), pages 474-499, February.
  2. Rajiv Banker & Hsihui Chang & Ram Natarajan, 2007. "Estimating DEA technical and allocative inefficiency using aggregate cost or revenue data," Journal of Productivity Analysis, Springer, vol. 27(2), pages 115-121, April.
  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. E. Grifell-Tatjé & C.A.K. Lovell, 2000. "Cost and productivity," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 21(1), pages 19-30.
  5. Subhash C. Ray & Kankana Mukherjee, 2000. "Decomposition of Cost Competitiveness in U.S. Manufacturing: Some State-by-State Comparisons," Indian Economic Review, Department of Economics, Delhi School of Economics, vol. 35(2), pages 133-153, July.
  6. 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.
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