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Input price variation across locations and a generalized measure of cost efficiency

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Author Info

  • Ray, Subhash C.
  • Chen, Lei
  • Mukherjee, Kankana

Abstract

We propose a non-parametric 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 within 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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Bibliographic Info

Article provided by Elsevier in its journal International Journal of Production Economics.

Volume (Year): 116 (2008)
Issue (Month): 2 (December)
Pages: 208-218

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Handle: RePEc:eee:proeco:v:116:y:2008:i:2:p:208-218

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Web page: http://www.elsevier.com/locate/ijpe

Related research

Keywords: Cost minimization Data envelopment analysis Heterogeneous technology Location efficiency;

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References

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  1. 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.
  2. TULKENS, Henry & VANDEN EECKAUT, Philippe, 1993. "Non-Parametric Efficiency, Progress and Regress Measures for Panel Data : Methodological Aspects," CORE Discussion Papers 1993016, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
  3. 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.
  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. 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.
  6. 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.
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Citations

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Cited by:
  1. Maria Conceição Portela, 2013. "Value And Quantity Data In Economic And Technical Efficiency Measurement," Working Papers de Economia (Economics Working Papers) 03, Faculdade de Economia e Gestão, Universidade Católica Portuguesa (Porto).
  2. Leleu, Hervé & Briec, Walter, 2009. "A DEA estimation of a lower bound for firms' allocative efficiency without information on price data," International Journal of Production Economics, Elsevier, vol. 121(1), pages 203-211, September.
  3. Subhash Ray, 2012. "Productivity Change over Time and the Dynamics of Cost Competitiveness: A Nonparametric Analysis of U.S. Manufacturing Data," Working papers 2012-39, University of Connecticut, Department of Economics.
  4. Portela, Maria Conceição A. Silva & Thanassoulis, Emmanuel, 2014. "Economic efficiency when prices are not fixed: disentangling quantity and price efficiency," Omega, Elsevier, vol. 47(C), pages 36-44.

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