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