IDEAS home Printed from https://ideas.repec.org/a/lrk/eeaart/23_3_11.html
   My bibliography  Save this article

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

Author

Listed:
  • 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)

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.

Suggested Citation

  • Martínez Roget, F. & Murias Fernández, P. & Miguel Domínguez, J.C. De, 2005. "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 Province," Estudios de Economía Aplicada, Estudios de Economía Aplicada, vol. 23, pages 753-771, Diciembre.
  • Handle: RePEc:lrk:eeaart:23_3_11
    as

    Download full text from publisher

    File URL: http://www.revista-eea.net
    Download Restriction: Access to full text is restricted to subscribers.

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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. Osman Zaim & Rolf Färe & Shawna Grosskopf, 2001. "An Economic Approach to Achievement and Improvement Indexes," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 56(1), pages 91-118, October.
    3. 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.
    4. L. Quadrado & W. Heijman & H. Folmer, 2001. "Multidimensional Analysis of Regional Inequality: The case of Hungary," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 56(1), pages 21-42, October.
    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. Michael Freudenberg, 2003. "Composite Indicators of Country Performance: A Critical Assessment," OECD Science, Technology and Industry Working Papers 2003/16, OECD Publishing.
    7. 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.
    8. 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.
    9. 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).
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

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

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • R10 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - General
    • I30 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:lrk:eeaart:23_3_11. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Beatriz Rodríguez Prado). General contact details of provider: http://edirc.repec.org/data/fcvldes.html .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.