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

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  • Marshall, Elizabeth
  • Shortle, James

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 those counties according to their distance from a performance standard established by other observed counties (using DEA), or by a single unit designated as most preferred (using VEA) .
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  • Marshall, Elizabeth & Shortle, James, 2005. "Using DEA and VEA to Evaluate Quality of Life in the Mid-Atlantic States," Agricultural and Resource Economics Review, Cambridge University Press, vol. 34(02), pages 185-203, October.
  • Handle: RePEc:cup:agrerw:v:34:y:2005:i:02:p:185-203_00
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    1. repec:rri:wpaper:200803 is not listed on IDEAS
    2. Beatriz Cuadrado-Ballesteros & Noemí Mordán & Isabel-María García-Sánchez, 2014. "Is Local Financial Health Associated with Citizens’ Quality of Life?," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, pages 559-580.
    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 Working Paper 2008-03, Regional Research Institute, West Virginia University.
    4. Mariano, Enzo Barberio & Sobreiro, Vinicius Amorim & Rebelatto, Daisy Aparecida do Nascimento, 2015. "Human development and data envelopment analysis: A structured literature review," Omega, Elsevier, vol. 54(C), pages 33-49.
    5. 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: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, pages 209-228.
    6. repec:spr:ariqol:v:12:y:2017:i:4:d:10.1007_s11482-016-9502-7 is not listed on IDEAS
    7. OA 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.
    8. repec:gam:jsusta:v:9:y:2017:i:4:p:631-:d:96011 is not listed on IDEAS
    9. Giménez, Víctor & Ayvar-Campos, Francisco Javier & Navarro-Chávez, José César Lenin, 2017. "Efficiency in the generation of social welfare in Mexico: A proposal in the presence of bad outputs," Omega, Elsevier, vol. 69(C), pages 43-52.
    10. Eduardo González & Ana Cárcaba & Juan Ventura, 2011. "Quality Of Life Ranking Of Spanish Municipalities," Revista de Economia Aplicada, Universidad de Zaragoza, Departamento de Estructura Economica y Economia Publica, pages 123-148.

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