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Geographically Variable Human Capital: Trigger for Job

Autores/as

  • Omar García-León Universidad Nacional Autónoma de México México
  • Miguel de Nazareth Pineda Becerril Universidad Nacional Autónoma de México México
  • Nancy Rosas Fonseca Universidad Nacional Autónoma de México México

Palabras clave:

Employment, Human Capital, Econometrics, Geographically weighted regression, Economic geography

Resumen

This research measures how much human capital contributes to job creation at the regional level. It aims to measure economic development through variables associated with human capital, which can generate returns such as the spillover of knowledge or the exploitation of pools of skilled labour. The data allow for the observation and measurement of employment during a period of significant economic contraction. We argue that job creation is not uniform across the territory, but that there are targeted exceptions due to the unique composition of workers, resources and other elements that regions have and the economic forces that they entail. Geographically weighted regression (GWR) was used to capture regional heterogeneity, and increasing returns on human capital were found to different measures and deviations from global trends in specific places in the territory.

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2025-06-24

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García-León, O., Pineda Becerril , M. de N., & Rosas Fonseca, N. (2025). Geographically Variable Human Capital: Trigger for Job . Revista Electrónica De Comunicaciones Y Trabajos De ASEPUMA. Recuperado a partir de https://www.revistas.uma.es/index.php/recta/article/view/21338

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