A robust ranking model for analysing marginality of regions of Mexico Online publication date: Thu, 22-Dec-2022
by Pavel López-Parra; Pavel A. Alvarez; María Bernal; Ernesto León-Castro
International Journal of Innovation and Sustainable Development (IJISD), Vol. 17, No. 1/2, 2023
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.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Innovation and Sustainable Development (IJISD):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com