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A Deprivation Analysis for Andalusia (Spain): An Approach Based on Structural Equations

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  • M. Rodero-Cosano
  • C. Garcia-Alonso
  • J. Salinas-Pérez

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. Copyright Springer Science+Business Media Dordrecht 2014

Suggested Citation

  • M. Rodero-Cosano & C. Garcia-Alonso & J. Salinas-Pérez, 2014. "A Deprivation Analysis for Andalusia (Spain): An Approach Based on Structural Equations," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 115(2), pages 751-765, January.
    • Handle: RePEc:spr:soinre:v:115:y:2014:i:2:p:751-765
    DOI: 10.1007/s11205-012-0226-2
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    References listed on IDEAS

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    1. Elisa Prieto-Lara & Ricardo Ocaña-Riola, 2010. "Updating Rurality Index for Small Areas in Spain," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 95(2), pages 267-280, January.
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    5. Andrew Sharpe & Lars Osberg, 2009. "New Estimates of the Index of Economic Well-being for Selected OECD Countries, 1981 - 2007," CSLS Research Reports 2009-11, Centre for the Study of Living Standards.
    6. Reinartz, Werner & Haenlein, Michael & Henseler, Jörg, 2009. "An empirical comparison of the efficacy of covariance-based and variance-based SEM," International Journal of Research in Marketing, Elsevier, vol. 26(4), pages 332-344.
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    1. Eugenio Cejudo-García & Francisco Navarro-Valverde & José Antonio Cañete-Pérez, 2022. "Who Decides and Who Invests? The Role of the Public, Private and Third Sectors in Rural Development according to Geographical Contexts: The LEADER Approach in Andalusia, 2007–2015," Sustainability, MDPI, vol. 14(7), pages 1-20, March.

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