Abstract
. 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.
| Original language | English |
|---|---|
| Article number | 106820 |
| Journal | Ecological Economics |
| Volume | 178 |
| DOIs | |
| State | Published - Dec 2020 |
Bibliographical note
Publisher Copyright:© 2020 Elsevier B.V.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 13 Climate Action
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SDG 15 Life on Land
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SDG 17 Partnerships for the Goals
Keywords
- Cross-sectional models
- El Niño phenomenon
- Peruvian dry forests
- Quantile regressions
- Welfare
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