IDEAS home Printed from https://ideas.repec.org/a/eee/ecmode/v91y2020icp313-325.html
   My bibliography  Save this article

Rethinking multidimensional poverty through a multi-criteria analysis

Author

Listed:
  • Bárcena-Martín, Elena
  • Pérez-Moreno, Salvador
  • Rodríguez-Díaz, Beatriz

Abstract

The risk of poverty or social exclusion constitutes the pivotal multidimensional indicator of living conditions in the European Union. Nevertheless, it only reports the proportion of individuals at risk and disregards the depth of poverty. The indicator therefore overlooks situations of possible vulnerable groups just above the threshold and is not sensitive to all dimensions in which the individual is at risk. In this paper we propose an alternative multi-criteria based approach that overcomes these problems. Our measure captures information about the level of achievement in each dimension of all persons along the distribution and evaluates to what extent the concurrence of multiple deprivations reinforces their disadvantage. This approach permits diverse ways of aggregation with different degrees of substitutability among the achievements of each dimension according to context-specific social preferences. We illustrate our approach with an empirical analysis of 28 countries using the European Union Statistics on Income and Living Conditions database for 2016. The results reveal that work intensity may be regarded as the most determining factor in analyses of multidimensional poverty across European countries. Our measures unmask how countries with similar proportions of individuals at risk of poverty or social exclusion hide very different conditions of multidimensional poverty and highlight the variety of socioeconomic realities existing behind the dichotomy imposed by the usual ‘at risk of poverty or social exclusion’ rate.

Suggested Citation

  • Bárcena-Martín, Elena & Pérez-Moreno, Salvador & Rodríguez-Díaz, Beatriz, 2020. "Rethinking multidimensional poverty through a multi-criteria analysis," Economic Modelling, Elsevier, vol. 91(C), pages 313-325.
  • Handle: RePEc:eee:ecmode:v:91:y:2020:i:c:p:313-325
    DOI: 10.1016/j.econmod.2020.06.007
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0264999319313690
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.econmod.2020.06.007?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

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

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Xianping Zhang & Lu Yu & Xiang Xu, 2023. "Study on the Spatial Distribution Characteristics and Poverty Inducements of Poverty-Stricken Villages in Henan Province," Land, MDPI, vol. 12(5), pages 1-16, April.

    More about this item

    Keywords

    Multidimensional poverty; At risk of poverty or social exclusion; Multi-criteria approach; European countries;
    All these keywords.

    JEL classification:

    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
    • O52 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Europe
    • C02 - Mathematical and Quantitative Methods - - General - - - Mathematical Economics
    • C44 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Operations Research; Statistical Decision Theory

    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:eee:ecmode:v:91:y:2020:i:c:p:313-325. See general information about how to correct material in RePEc.

    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.

    We have no bibliographic references for this item. You can help adding them by using 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/30411 .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.