Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/46367
Título: A DEA approach to measure the quality-of-life in the municipalities of the Canary Islands
Autores/as: Martín Hernández, Juan Carlos 
Mendoza, Cira
Clasificación UNESCO: 631009 Calidad de vida
Palabras clave: Calidad de vida
Canarias
Fecha de publicación: 2013
Editor/a: 0303-8300
Publicación seriada: Social Indicators Research 
Resumen: The notion of the quality of life has always intrigued economists, sociologists and other researchers in the area of social science. Since the genesis of the definition of Gross Domestic Product (GDP) as a truthful measure of well-being and economic development, other sophisticated methodologies have been proposed in the literature to measure the quality-of-life (QOL) that extend in a multidimensional way this complex concept. Measuring QOL in municipalities consists in finding a set of comparable attributes that can be weighted by some metric in order to construct a synthetic index. Thus, the narrow vision obtained by a single measure as the GDP, in which differences in the QOL cannot be fully analyzed, is overcome. Based upon a refinement of data envelopment analysis (DEA)-the cross-efficiency method, the current paper develops a synthetic QOL index that is based in 19 partial indicators which present the tradeoffs of different dimension for the 87 municipalities of the Canary Islands in Spain. Marginal rates of substitution are calculated to evaluate the tradeoffs on QOL dimensions. A method is also proposed to determine the scores chart of each municipality which can be used as a tool to policy makers in order to establish a program of improving the ranking position of the municipality identifying the critical QOL factors
URI: http://hdl.handle.net/10553/46367
ISSN: 0303-8300
DOI: 10.1007/s11205-012-0096-7
Fuente: Social Indicators Research[ISSN 0303-8300],v. 113, p. 335-353
Colección:Artículos
Vista completa

Citas SCOPUSTM   

36
actualizado el 15-dic-2024

Citas de WEB OF SCIENCETM
Citations

38
actualizado el 15-dic-2024

Visitas

88
actualizado el 27-jul-2024

Google ScholarTM

Verifica

Altmetric


Comparte



Exporta metadatos



Los elementos en ULPGC accedaCRIS están protegidos por derechos de autor con todos los derechos reservados, a menos que se indique lo contrario.