Sustainability in Mexico: A Socioecological Systems Modeling Approach Using Indicators
Palavras-chave:
sustainability assessment, socioenvironmental system, Bayesian networks, Mexican states, indicatorsResumo
National sustainability assessments are key to addressing environmental and social issues through evidence-based policies. Given their complexity, a socio-environmental systems (SES) framework is necessary, viewing sustainability as emerging from interconnected components: Economy, Institutions, Society, Anthropogenic Assets, Human Drivers, Ecosystem Services and Nature. We assessed Mexico’s state-level sustainability from 2000–2019 using 28 indicators. Missing data were imputed, and principal component analysis reduced dimensionality within SES components. These components formed a Bayesian network to model interrelationships, revealing trade-offs between economic growth and institutional capacity, and strong links between human drivers and environmental impacts. Geospatial analysis showed wide state-level variation, underscoring the need for localized policies. This approach provides a useful model for national sustainability assessments.
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