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Mexico and the Challenges of Achieving the 2030 Sustainable Development Goals

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Computational and Decision Methods in Economics and Business (REDCID 2019)

Abstract

The Sustainable Development Goals (SDGs) proposed by the United Nations in the 2030 Agenda, constitute a universal call to adopt measures to end poverty, protect the planet and ensure that all individuals can enjoy peace and prosperity. This article aims to present a multidimensional analysis using Subjective Preferences Fuzzy Logics to identify every state’s position in the Mexican Republic when facing the challenge of reaching the SDGs. Results show that the states with the highest sustainable development in the country are México City, Nuevo León, Aguascalientes, Querétaro, and Jalisco and that the states with the lowest level of sustainable development are Chiapas, Guerrero, Oaxaca, Campeche, and Puebla. A relevant fact is that Mexico City presents an improvement in sustainable development that is almost double the results found in Chiapas. This analysis allows us to identify areas of opportunity for the design of public policies directed to the states’ need to generate more equality in sustainable development in Mexico.

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Correspondence to I. N. Pinto-López .

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Pinto-López, I.N., Montaudon-Tomas, C.M., Gil-Lafuente, A.M. (2022). Mexico and the Challenges of Achieving the 2030 Sustainable Development Goals. In: Gil-Lafuente, A.M., Boria, J., Torres, A., Merigó, J.M., Kacprzyk, J. (eds) Computational and Decision Methods in Economics and Business. REDCID 2019. Lecture Notes in Networks and Systems, vol 388. Springer, Cham. https://doi.org/10.1007/978-3-030-93787-4_2

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