A robust ranking model for analysing marginality of regions of Mexico

López-Parra, Pavel; Alvarez, Pavel Anselmo; Bernal, Maria; León-Castro, Ernesto

Abstract

Marginality still is a significant problem around the world. It generates poverty, social marginalisation and low quality of life. In that sense, the understanding of the systemic contributors to poverty and exclusion can help find better strategies to improve the population’s quality of life. The present work studies the spatial dimensions of the marginality in Mexico as its geography and location. A robust ranking model is proposed to find robust parameters of ELimination Et Choix Traduisant la REalité (ELECTRE) III method, analyse the marginality of regions and find extreme marginality in geographical areas. The main finding is a map of marginality in Mexico, showing regions with extreme marginality. The study regards marginality dimensions based on education, housing (services access) and incomes in the population.

Más información

Título según WOS: A robust ranking model for analysing marginality of regions of Mexico
Título según SCOPUS: A robust ranking model for analysing marginality of regions of Mexico
Título de la Revista: International Journal of Innovation and Sustainable Development
Volumen: 17
Número: 1-2
Editorial: Inderscience Publishers
Fecha de publicación: 2023
Página de inicio: 104
Página final: 122
Idioma: English
DOI:

10.1504/ijisd.2023.127975

Notas: ISI, SCOPUS