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Tecnologias geoespaciales para mapear el capital natural y promover empleo agropecuario sostenible en Mexico

Author

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  • Ariel Vazquez Elorza

    (Universidad Tecnologica del Valle de Toluca)

Abstract

This study analyzes spatial patterns between natural capital and agricultural employment in Mexico using a multidisciplinary approach combining environmental economics economic geography and spatial analysis. Using quantitative non experimental methods geospatial databases were built from official environmental and socioeconomic sources. Moran index and LISA analysis identified statistically significant positive spatial associations in 73 municipalities confirming natural capital as a productive asset and supporting spatial analysis as a tool for public policy design.

Suggested Citation

  • Ariel Vazquez Elorza, 2025. "Tecnologias geoespaciales para mapear el capital natural y promover empleo agropecuario sostenible en Mexico," Scientia et PRAXIS, AMIDI Editorial, vol. 5(10), pages 1-33.
    • Handle: RePEc:abs:journl:setp.05.10.a1.2025
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    Keywords

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    JEL classification:

    • Q57 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Ecological Economics
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models

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