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An Efficiency Analysis of Nevada and Utah Counties: Region Size Leads Regional Efficiency


  • Kim, Man-Keun
  • Harris, Thomas R.


The hypothesis that regional size increases regional efficiency is tested in this study. Data Envelopment Analysis and the Directed Acyclic Graph were used to reveal the causal relationship between regional efficiency and region size in terms of population density. Region size and the infrastructure directly cause regional efficiency, and regional efficiency affects regional income indirectly via formulation of Metropolitan area

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  • Kim, Man-Keun & Harris, Thomas R., 2008. "An Efficiency Analysis of Nevada and Utah Counties: Region Size Leads Regional Efficiency," 2008 Annual Meeting, July 27-29, 2008, Orlando, Florida 6338, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  • Handle: RePEc:ags:aaea08:6338

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    1. Leopold Simar & Paul Wilson, 2000. "A general methodology for bootstrapping in non-parametric frontier models," Journal of Applied Statistics, Taylor & Francis Journals, vol. 27(6), pages 779-802.
    2. 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.
    3. Léopold Simar & Paul W. Wilson, 1998. "Sensitivity Analysis of Efficiency Scores: How to Bootstrap in Nonparametric Frontier Models," Management Science, INFORMS, vol. 44(1), pages 49-61, January.
    4. Henderson, J. Vernon, 1986. "Efficiency of resource usage and city size," Journal of Urban Economics, Elsevier, vol. 19(1), pages 47-70, January.
    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. Raymond L. Raab & Richard W. Lichty, 2002. "Identifying Subareas That Comprise A Greater Metropolitan Area: The Criterion of County Relative Efficiency," Journal of Regional Science, Wiley Blackwell, vol. 42(3), pages 579-594.
    7. John S. L. McCombie & Mark Roberts, 2007. "Returns To Scale And Regional Growth: The Static-Dynamic Verdoorn Law Paradox Revisited," Journal of Regional Science, Wiley Blackwell, vol. 47(2), pages 179-208.
    8. Simar, Leopold & Wilson, Paul W., 2002. "Non-parametric tests of returns to scale," European Journal of Operational Research, Elsevier, vol. 139(1), pages 115-132, May.
    9. Simar, Leopold & Wilson, Paul W., 2007. "Estimation and inference in two-stage, semi-parametric models of production processes," Journal of Econometrics, Elsevier, vol. 136(1), pages 31-64, January.
    10. Shirley, Chad & Winston, Clifford, 2004. "Firm inventory behavior and the returns from highway infrastructure investments," Journal of Urban Economics, Elsevier, vol. 55(2), pages 398-415, March.
    11. Segal, David, 1976. "Are There Returns to Scale in City Size?," The Review of Economics and Statistics, MIT Press, vol. 58(3), pages 339-350, August.
    12. Sveikauskas, Leo, 1974. "Bias in Cross-Section Estimates of the Elasticity of Substitution," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 15(2), pages 522-528, June.
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