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  • 标题:Application of Principal Component Analysis as a Technique to Obtain a Social Vulnerability Index for the Design of Public Policies in Mexico
  • 本地全文:下载
  • 作者:Madelyn Avila-Vera ; Lidia Rangel-Blanco ; Esteban Picazzo-Palencia
  • 期刊名称:Open Journal of Social Sciences
  • 印刷版ISSN:2327-5952
  • 电子版ISSN:2327-5960
  • 出版年度:2020
  • 卷号:8
  • 期号:9
  • 页码:130-145
  • DOI:10.4236/jss.2020.89009
  • 出版社:Scientific Research Publishing
  • 摘要:The phenomenon of social vulnerability is understood as the set of limitations or disadvantages to access a quality life. This work aims to obtain a Social Vulnerability Index at the municipal level in Mexico, using the principal component analysis technique (Yengle, 2012; Ruano, 2015; Olivares, 2014; Borja-Vega & de la Fuente, 2013; Rueda-Torres & Gonzalez-Longatt, 2018), 12 indicators were calculated, organized into three categories: sociodemographic, socioeconomic and habitat, typical of each territorial space in Mexico, to know the factors that determine social disadvantages in the population. The results show that food poverty, heritage poverty and educational backwardness are the main factors that affect social vulnerability, which highlight the need to design specific public policies, through a process of articulation and coherence with the different social actors, in order to contribute to closing subnational social gaps and developing the endogenous capacities of the territories so that they have an impact on the social development of the country.
  • 关键词:Main Components;Index;Social Vulnerability;Public Policies
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