%0 Journal Article
%T Application of Principal Component Analysis as a Technique to Obtain a Social Vulnerability Index for the Design of Public Policies in Mexico
%A Madelyn Avila-Vera
%A Lidia Rangel-Blanco
%A Esteban Picazzo-Palencia
%J Open Journal of Social Sciences
%P 130-145
%@ 2327-5960
%D 2020
%I Scientific Research Publishing
%R 10.4236/jss.2020.89009
%X 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
%K Main Components
%K Index
%K Social Vulnerability
%K Public Policies
%U http://www.scirp.org/journal/PaperInformation.aspx?PaperID=102873