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Assessing Efficiency of Public Poverty Policies in UE-28 with Linguistic Variables and Fuzzy Correlation Measures

  • Datos identificativos

    Identificador: imarina:9156309
    Handle: http://hdl.handle.net/20.500.11797/imarina9156309
  • Autores:

    de Andres-Sanchez, Jorge
    Belzunegui-Eraso, Angel
    Valls-Fonayet, Francesc
  • Otros:

    Autor según el artículo: de Andres-Sanchez, Jorge; Belzunegui-Eraso, Angel; Valls-Fonayet, Francesc;
    Departamento: Gestió d'Empreses
    Autor/es de la URV: Belzunegui Eraso, Angel Gabriel / De Andrés Sànchez, Jorge / Valls Fonayet, Francesc
    Palabras clave: Poverty policy Linguistic variables Fuzzy sets Fuzzy numbers Fuzzy data analysis Farrell productivity index Efficiency Debreu– Debreu–farrell productivity index Correlation between fuzzy variables
    Resumen: The present study analyzes the efficiency of social expenditure by EU-28 countries within the period 2014-2018 to reduce poverty. The data are provided by programs European Union Statistics on Income and Living Conditions (EU-SILC) and European System of Integrated Social Protection Statistics (ESSPROS) of Eurostat. We first calculate the Debreu-Farrell (DF) productivity measure similarly to our previous work, published in 2020, for each EU-28 country and rank these poverty policies (PPPs) on the basis of that efficiency index. We also quantify the intensity of the relationship between efficiency and the proportion that each item of social expending suppose within the overall. When evaluating public policies within a given number of years, we have available a longitudinal set of crisp observations (usually annual) for each embedded variable and country. The observed value of variables for any country for the whole period 2014-2018 is quantified as fuzzy numbers (FNs) that are built up by aggregating crisp annual observations on those variables within that period. To rank the efficiency of PPPs, we use the concept of the expected value of an FN. To assess the relation between DF index and the relative effort done in each type of social expense, we interpret Pearson's correlation as a linguistic variable and also use Pearson's correlation index between FNs proposed by D.H. Hong in 2006.
    Áreas temáticas: Química Mathematics (miscellaneous) Mathematics (all) Mathematics General mathematics Engineering (miscellaneous) Computer science (miscellaneous) Astronomia / física
    Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/
    Direcció de correo del autor: francesc.valls@urv.cat francesc.valls@urv.cat angel.belzunegui@urv.cat jorge.deandres@urv.cat francesc.valls@urv.cat
    Identificador del autor: 0000-0003-2801-2356 0000-0003-2801-2356 0000-0002-6355-1593 0000-0002-7715-779X 0000-0003-2801-2356
    Fecha de alta del registro: 2023-02-19
    Versión del articulo depositado: info:eu-repo/semantics/publishedVersion
    Enlace a la fuente original: https://www.mdpi.com/2227-7390/9/2/128
    URL Documento de licencia: http://repositori.urv.cat/ca/proteccio-de-dades/
    Referencia al articulo segun fuente origial: Mathematics. 9 (2): 1-25
    Referencia de l'ítem segons les normes APA: de Andres-Sanchez, Jorge; Belzunegui-Eraso, Angel; Valls-Fonayet, Francesc; (2021). Assessing Efficiency of Public Poverty Policies in UE-28 with Linguistic Variables and Fuzzy Correlation Measures. Mathematics, 9(2), 1-25. DOI: 10.3390/math9020128
    DOI del artículo: 10.3390/math9020128
    Entidad: Universitat Rovira i Virgili
    Año de publicación de la revista: 2021
    Tipo de publicación: Journal Publications
  • Palabras clave:

    Computer Science (Miscellaneous),Engineering (Miscellaneous),Mathematics,Mathematics (Miscellaneous)
    Poverty policy
    Linguistic variables
    Fuzzy sets
    Fuzzy numbers
    Fuzzy data analysis
    Farrell productivity index
    Efficiency
    Debreu– Debreu–farrell productivity index
    Correlation between fuzzy variables
    Química
    Mathematics (miscellaneous)
    Mathematics (all)
    Mathematics
    General mathematics
    Engineering (miscellaneous)
    Computer science (miscellaneous)
    Astronomia / física
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