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

Ariel Vazquez Elorza ()
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Ariel Vazquez Elorza: Universidad Tecnologica del Valle de Toluca

Scientia et PRAXIS, 2025, vol. 05, issue 10, 1-33

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.

Keywords: natural capital index; agricultural employment; geospatial mapping; spatial autocorrelation (search for similar items in EconPapers)
JEL-codes: C21 Q57 R12 (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:abs:journl:setp.05.10.a1.2025

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