Post-flood selective migration interacts with media sentiment and income effects

Yi Fan, Qiuxia Gao, Yinghao Elliot Sitoh, Wayne Xinwei Wan

Research output: Contribution to journalArticleResearchpeer-review

Abstract

Escalating flood risks from climate change cause economic losses and alter migration patterns, although their impacts across socioeconomic groups remain underexplored. Here we investigate flood-induced inter-county migration in the United States between 2006 and 2019, and find that floods increase outflow and inflow migration by 2.7% and 1.9%, respectively. Younger, better-educated and employed residents leave, while older, less-educated and unemployed individuals move into affected counties. Such patterns can be amplified by media sentiment on flood risks. Selective migration lowers housing prices but raises rent, suggesting structural changes in flood-prone housing markets. Flood-induced selective migration also has salient impacts on the local labour markets, with net annual income losses estimated to be US$9.3 million and $1.98 million, conditional on education and age profiles, respectively. Our results shed light on how natural disasters influence selective migration conditional on socioeconomic profiles and how information provision interacts with migration incentives.

Original languageEnglish
Article number1935
Pages (from-to)619-626
Number of pages17
JournalNature Climate Change
Volume15
DOIs
Publication statusPublished - 2025

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 13 - Climate Action
    SDG 13 Climate Action

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