Migrants as First Responders: A Global Estimate of Disaster-Driven Remittances

2025-12-18

AI Summary

International remittances serve as a critical informal financial mechanism for households coping with environmental disasters, yet their responsive dynamics remain poorly quantified. Method: We develop the first structural individual-level remittance decision model, integrating global bilateral monthly remittance flows, a comprehensive disaster event database, and granular heterogeneity in migrant populations. Contribution/Results: We identify and quantify “disaster-driven remittances” as a latent adaptive financing channel—accounting for $33.2 billion annually (5.46% of total remittances) over a decade. Disasters significantly increase remittance volumes, with earthquakes eliciting the strongest response and droughts the weakest. Migrant groups exhibit pronounced cross-national and structural variation in financial responsiveness. This study fills a key empirical gap in climate adaptation finance and establishes a novel analytical framework for understanding informal resilience systems.

Technology Category

• Reasoning under Uncertainty: Stochastic Optimization
• Machine Learning: Transfer, Domain Adaptation, Multi-Task Learning
• Data Mining & Knowledge Management: Data Stream Mining

Application Category

• Economics, Online Markets and Human Computation: The sharing economy
• Web Mining and Content Analysis: Bridging structured and unstructured data
• User Modeling, Personalization and Recommendation: Practical large-scale studies of user experience

Abstract

International remittances represent a vital source of disaster adaptation finance for households around the world, yet their responsiveness to environmental disasters remains poorly quantified. We reveal a previously unmeasured global macro-financial system of international migrant diasporas remittances response to the occurrence of disasters in the country of origin. We do so by developing a structural model simulating individual remittance decisions, calibrated with global disaster records and bilateral monthly remittances flow data from the period 2010-2019. Our analysis reveals that approximately 332 billion USD (5.46% of total remittances) were mobilized specifically in response to earthquakes, floods, storms, and droughts over the decade. Earthquakes triggered the largest remittance responses per person affected, while droughts elicited the smallest. The model also identifies significant variation in diaspora groups' capacity to activate financial support. These findings establish remittances as a substantial yet limited form of disaster finance, highlighting their importance and limitations in building resilience against future environmental shocks.

Problem

• Quantifies global remittance responses to environmental disasters like earthquakes and floods.
• Models migrant diaspora financial support capacity variations during disaster events.
• Assesses remittances as a significant but limited disaster adaptation finance source.

Innovation

• Structural model simulates individual remittance decisions
• Calibrated with global disaster records and bilateral remittance data
• Quantifies disaster-driven remittances as a macro-financial system