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Escaping from hardship, searching for comfort: Climate matching in refugees’ destination choices

Author

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  • Morales-Arilla, Jose
  • Martin, Diego
  • Morales, Alvaro

Abstract

Do refugees settle in destinations that are ecologically similar to their origins? We assess the relevance of “climate matching” theories of migration for Venezuelan refugees in South America. Leveraging social media data, we build the first local, bilateral matrix of Venezuelan flows across the region. Validation exercises show that this matrix aligns with independent data on Venezuelan refugees at the bilateral, destination and origin levels. We measure bilateral ecological similarities in terms of temperature, precipitation, elevation, and distance to the coastline. Performing Poisson Pseudo-Maximum Likelihood gravity models of migration, we show that Venezuelan flows are more likely between ecologically similar areas. Estimates are economically significant, and model predictions explain independent measurements of Venezuelans’ settlement choices at both bilateral and destination levels.

Suggested Citation

  • Morales-Arilla, Jose & Martin, Diego & Morales, Alvaro, 2025. "Escaping from hardship, searching for comfort: Climate matching in refugees’ destination choices," Journal of Development Economics, Elsevier, vol. 176(C).
  • Handle: RePEc:eee:deveco:v:176:y:2025:i:c:s0304387825000513
    DOI: 10.1016/j.jdeveco.2025.103500
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    More about this item

    Keywords

    Refugees; Mass migration; Climate matching; Gravity migration models; Social media;
    All these keywords.

    JEL classification:

    • F2 - International Economics - - International Factor Movements and International Business
    • O15 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration
    • R23 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Regional Migration; Regional Labor Markets; Population

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