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

Author

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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 (using DEA) those counties according to their distance from a performance standard established by other observed counties, or (using VEA) by a single unit designated as “most preferred.”

Suggested Citation

  • 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(2), pages 185-203, October.
    • Handle: RePEc:cup:agrerw:v:34:y:2005:i:02:p:185-203_00
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    Cited by:

    1. Panagiotis Ravanos & Giannis Karagiannis, 2022. "In search for the most preferred solution in value efficiency analysis," Journal of Productivity Analysis, Springer, vol. 58(2), pages 203-220, December.
    2. repec:rri:wpaper:200803 is not listed on IDEAS
    3. Eduardo González & Ana Cárcaba & Juan Ventura, 2018. "Weight Constrained DEA Measurement of the Quality of Life in Spanish Municipalities in 2011," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 136(3), pages 1157-1182, April.
    4. Panagiotis Ravanos & Giannis Karagiannis, 2025. "On value efficiency analysis and cone-ratio data envelopment analysis models," Journal of Productivity Analysis, Springer, vol. 63(1), pages 49-68, February.
    5. Susana Iglesias-Antelo & Vicente López-López & Antonio Vázquez-Sanmartín, 2021. "Assessing the Influence of Strategic Resources on the Quality of Life in Spanish Cities," Sustainability, MDPI, vol. 13(23), pages 1-19, November.
    6. 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, vol. 119(2), pages 559-580, November.
    7. 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.
    8. 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.
    9. Li Yang & Yung‐ho Chiu & Tzu‐Han Chang, 2023. "The impact of quality of life on industrial and agricultural production and environmental efficiency in China's provinces," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(2), pages 1054-1072, March.
    10. 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, vol. 102(2), pages 209-228, June.
    11. Panagiotis Ravanos & Giannis Karagiannis, 2025. "Protocols for MPS choices in VEA models with variable returns to scale," Annals of Operations Research, Springer, vol. 351(2), pages 1621-1649, August.
    12. Panagiotis Ravanos & Giannis Karagiannis, 2023. "Correction: A VEA Benefit-of-the-Doubt Model for the HDI," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 170(2), pages 793-796, November.
    13. Ana Cárcaba & Eduardo González & Juan Ventura, 2017. "Social Progress in Spanish Municipalities (2001–2011)," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 12(4), pages 997-1019, December.
    14. 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.
    15. Ana Cárcaba & Eduardo González & Juan Ventura & Rubén Arrondo, 2017. "How Does Good Governance Relate to Quality of Life?," Sustainability, MDPI, vol. 9(4), pages 1-16, April.
    16. 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.
    17. Nana Zubek & Christian H.C.A. Henning, 2016. "Local Government, Spatial Spillovers and the Absorption of EU Structural Funds," Journal of Agricultural Economics, Wiley Blackwell, vol. 67(2), pages 368-397, June.
    18. 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, vol. 19(2), pages 123-148, Autumn.

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