| Title |
A Deprivation Analysis for Andalusia (Spain): An Approach Based on Structural Equations |
| Authors |
RODERO COSANO, MARÍA LUISA, GARCÍA ALONSO, CARLOS, SALINAS PÉREZ, JOSÉ ALBERTO |
| External publication |
No |
| Means |
Soc. Indic. Res. |
| Scope |
Article |
| Nature |
Científica |
| JCR Quartile |
1 |
| SJR Quartile |
1 |
| JCR Impact |
1.39500 |
| SJR Impact |
0.71600 |
| Web |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84896319528&doi=10.1007%2fs11205-012-0226-2&partnerID=40&md5=1cbf9758e53b655a9dac6099922a0c72 |
| Publication date |
01/01/2014 |
| ISI |
000330029700009 |
| Scopus Id |
2-s2.0-84896319528 |
| DOI |
10.1007/s11205-012-0226-2 |
| Abstract |
The study of deprivation, as a social indicator, is basic in the design and development of public policies because it allows decision makers to identify and analyse needy areas in order to improve their citizens\' well-being. The methodological approach proposed for the development of a new deprivation index is based on the Causal Theory whose conceptual model is analysed using Structural Equations. The domains selected for the deprivation index are: education, employment, income, housing, infrastructures and health. A structural equation model based on variance is the exploratory method used to obtain the indices pertaining to the above mentioned areas; the results obtained are seen to be quite reliable. There is a positive connection between the areas of education, employment and income while the relations between infrastructures and health are found to be negative. The results can be projected at a local level and show basic territorial deficiencies. The spatial units studied are the Andalusian (south of Spain) municipalities (770). The spatial projection of the indices obtained for the domains of deprivation highlights the existence of geographical areas which could be a potential target for public action. |
| Keywords |
Structural equation models; Partial least squares; Spatial base indices; Deprivation index; Multidimensional poverty; Causality |
| Universidad Loyola members |
|
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