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Using DEA and VEA to Evaluate Quality of Life in the Mid-Atlantic States

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  • Marshall, Elizabeth P.
  • Shortle, James S.

Abstract

In this study we use data envelopment analysis (DEA) and an extension of DEA called value efficiency analysis (VEA) to explore the “"production”" of quality of life within counties in the mid-Atlantic region and the extent to which production frontiers and efficiency differ between rural and urban counties. These methods allow us to identify counties that are inefficient in their quality of life production, and to rank (using DEA) those counties according to their distance from a performance standard established by other observed counties(using VEA), or by a single unit designated as "“most preferred"(using VEA).”

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Bibliographic Info

Article provided by Northeastern Agricultural and Resource Economics Association in its journal Agricultural and Resource Economics Review.

Volume (Year): 34 (2005)
Issue (Month): 2 (October)
Pages:

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Handle: RePEc:ags:arerjl:10237

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Web page: http://www.narea.org/
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Related research

Keywords: data envelopment analysis; value efficiency analysis; quality of life; Community/Rural/Urban Development;

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  1. McGranahan, David A., 1999. "Natural Amenities Drive Rural Population Change," Agricultural Economics Reports 33955, United States Department of Agriculture, Economic Research Service.
  2. Rajiv D. Banker & Richard C. Morey, 1986. "The Use of Categorical Variables in Data Envelopment Analysis," Management Science, INFORMS, vol. 32(12), pages 1613-1627, December.
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  5. Hirschberg, J.G. & Maasoumi, E. & Slottje, D.J., 1998. "The Environment and the Quality of Life in the United States Over Time," Department of Economics - Working Papers Series 654, The University of Melbourne.
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  8. M. Halme & T. Joro & P. Korhonen & S. Salo & J. Wallenius, 1998. "Value Efficiency Analysis for Incorporating Preference Information in Data Envelopment Analysis," Working Papers ir98054, International Institute for Applied Systems Analysis.
  9. Steven C. Deller & Tsung-Hsiu (Sue) Tsai & David W. Marcouiller & Donald B.K. English, 2001. "The Role of Amenities and Quality of Life In Rural Economic Growth," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 83(2), pages 352-365.
  10. Blomquist, Glenn C & Berger, Mark C & Hoehn, John P, 1988. "New Estimates of Quality of Life in Urban Areas," American Economic Review, American Economic Association, vol. 78(1), pages 89-107, March.
  11. Gabriel, Stuart A. & Mattey, Joe P. & Wascher, William L., 2003. "Compensating differentials and evolution in the quality-of-life among U.S. states," Regional Science and Urban Economics, Elsevier, vol. 33(5), pages 619-649, September.
  12. Roback, Jennifer, 1982. "Wages, Rents, and the Quality of Life," Journal of Political Economy, University of Chicago Press, vol. 90(6), pages 1257-78, December.
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  14. Merja Halme & Tarja Joro & Pekka Korhonen & Seppo Salo & Jyrki Wallenius, 1999. "A Value Efficiency Approach to Incorporating Preference Information in Data Envelopment Analysis," Management Science, INFORMS, vol. 45(1), pages 103-115, January.
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Cited by:
  1. O.A. Carboni & P. Russu, 2014. "Measuring Environmental and Economic Efficiency in Italy: an Application of the Malmquist-DEA and Grey Forecasting Model," Working Paper CRENoS 201401, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
  2. Eduardo González & Ana Cárcaba & Juan Ventura, 2011. "The Importance of the Geographic Level of Analysis in the Assessment of the Quality of Life: The Case of Spain," Social Indicators Research, Springer, vol. 102(2), pages 209-228, June.
  3. Maribel Mojica & Tesfa Gebremedhin & Peter Schaeffer, 2008. "Valuing Community Attributes in Rural Counties in West Virginia: An Application of Data Envelopment Analysis," Working Papers 200803, Regional Research Institute, West Virginia University.

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