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El análisis envolvente de datos en la construcción de indicadores sintéticos. Una aplicación a las provincias españolas/DEA Construction of Composite Indicators. An Application to the Spanish Provinces

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Author Info

  • MARTÍNEZ ROGET, F.

    ()
    (Departamento de Economía Aplicada. Facultad de Ciencias Económicas y Empresariales. Universidad de Santiago de Compostela. Tfno.: 981563100;)

  • MURIAS FERNÁNDEZ, P.

    ()
    (Departamento de Métodos Cuantitativos para la Economía y la Empresa)

  • MIGUEL DOMÍNGUEZ, J.C. DE

    ()
    (Departamento de Métodos Cuantitativos para la Economía y la Empresa)

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    Abstract

    El objetivo de este trabajo es mostrar la utilidad del Análisis Envolvente de Datos (DEA) en la construcción de indicadores sintéticos que permiten la comparación regional. Para ello se propone su utilización para la comparación de las provincias españolas en relación con los problemas que más preocupan a los ciudadanos, lo que indirectamente, constituye un reflejo del nivel de bienestar de que se disfruta en cada una de ellas. Estos problemas son los recogidos mensualmente en el Barómetro de Opinión, la encuesta elaborada por el Centro de Investigaciones Sociológicas (CIS). A partir de una serie de indicadores parciales se estima un índice sintético para cada una de las provincias, utilizando el DEA como metodología de agregación y ponderación. The purpose of this paper is to show the utility of Data Envelopment Analysis (DEA) in the construction of composite indicators which allow for regional comparisons. With this aim, its use is proposed in the comparison between the Spanish provinces in relation to the most worrying problems identified for Spanish citizens, which indirectly aproximates every province’s wellbeing.To identify those problems, the Barómetro de Opinión was used, a monthly survey carried out by the Centro de Investigaciones Sociológicas (CIS). Basing on a series of sub-indicators a composite index is estimated for every province, using DEA as the methodological approach in the weighting and aggregation process.

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    Bibliographic Info

    Article provided by Estudios de Economía Aplicada in its journal Estudios de Economía Aplicada.

    Volume (Year): 23 (2005)
    Issue (Month): (Diciembre)
    Pages: 753-771

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    Handle: RePEc:lrk:eeaart:23_3_11

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    Related research

    Keywords: Comparación provincial; DEA; Índice sintético/Regional comparison; DEA; Composite indicator;

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    References

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    1. Hashimoto, Akihiro & Ishikawa, Hitoshi, 1993. "Using DEA to evaluate the state of society as measured by multiple social indicators," Socio-Economic Planning Sciences, Elsevier, vol. 27(4), pages 257-268, December.
    2. Boussofiane, A. & Dyson, R. G. & Thanassoulis, E., 1991. "Applied data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 52(1), pages 1-15, May.
    3. Hashimoto, Akihiro, 1997. "A ranked voting system using a DEA/AR exclusion model: A note," European Journal of Operational Research, Elsevier, vol. 97(3), pages 600-604, March.
    4. L. Quadrado & W. Heijman & H. Folmer, 2001. "Multidimensional Analysis of Regional Inequality: The case of Hungary," Social Indicators Research, Springer, vol. 56(1), pages 21-42, October.
    5. Michael Freudenberg, 2003. "Composite Indicators of Country Performance: A Critical Assessment," OECD Science, Technology and Industry Working Papers 2003/16, OECD Publishing.
    6. Osberg, Lars & Sharpe, Andrew, 2002. "An Index of Economic Well-Being for Selected OECD Countries," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 48(3), pages 291-316, September.
    7. Osman Zaim & Rolf Färe & Shawna Grosskopf, 2001. "An Economic Approach to Achievement and Improvement Indexes," Social Indicators Research, Springer, vol. 56(1), pages 91-118, October.
    8. Storrie, Donald & Bjurek, Hans, 2000. "Benchmarking European labour market performance with efficiency frontier techniques," Discussion Papers, Research Unit: Labor Market Policy and Employment FS I 00-211, Social Science Research Center Berlin (WZB).
    9. 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.
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