The impact of El Niño phenomenon on dry forest-dependent communities' welfare in the northern coast of Peru

Nicolas Pécastaing, Carlos Chávez

Resultado de la investigación: Contribución a una revistaArtículo de revista revisión exhaustiva

1 Cita (Scopus)

Resumen

. This study analyzes the impact of El Niño phenomenon on dry forest-dependent populations in northern Peru. First, we identified the districts within and outside the dry forest regions in the Peruvian departments of Piura, Tumbes, and Lambayeque. Second, using the Coastal El Niño index (ICEN), we classified, according to severity, the Coastal El Niño in this region in the 2008–2016 period. We used an econometric model called triple difference (DDD) to prove that after a Coastal El Niño, rural communities that depend on dry forests are 5% less likely to be poor than those not located in dry forest areas. This result demonstrates how important these forests are in reducing the vulnerability of these populations to a Coastal El Niño and justifies the importance of promoting the sustainable use of this ecosystem.
Idioma originalInglés
Número de artículo106820
PublicaciónEcological Economics
Volumen178
DOI
EstadoPublicada - 1 dic 2020

Nota bibliográfica

Publisher Copyright:
© 2020 Elsevier B.V.

Palabras clave

  • Cross-sectional models
  • El Niño phenomenon
  • Peruvian dry forests
  • Quantile regressions
  • Welfare

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