Unveiling contrasting impacts of heat mitigation and adaptation policies on U.S. internal migration
ヒート対策の緩和策と適応策が米国内の人口移動に与える対照的な影響 (AI 翻訳)
Chao Li, Xing Su, Chao Fan, Yang Li, Luping Li, Chunmo Zheng, Wenglong Chao, Leena Järvi, Hu Lin, Juan Tu
🤖 gxceed AI 要約
日本語
本研究は、機械学習と属性マッピングを組み合わせ、4,713の暑熱関連政策が米国の郡間の11,177の人口移動に与える影響を分析。適応策は人口流出を減少させる一方、緩和策は増加させるという逆の効果を発見。政策タイプや地域の特性により効果が異なり、高齢化率が最も顕著なU字型の関係を示す。
English
This study uses machine learning and attribution mapping to analyze the impacts of 4,713 heat-related policies on 11,177 migration flows between U.S. counties. Heat adaptation policies reduce out-migration, while mitigation policies increase it. Effects vary by policy type and are nonlinearly moderated by income, aging, education, and racial diversity. Aging shows a U-shaped relationship for behavioral and cultural mitigation policies.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
本論文は米国を対象としているが、日本でも猛暑対策が人口移動に与える影響を検討する際に参考になる。特に、政策タイプによる効果の違いや地域特性の調整効果は、日本の熱中症対策や地域活性化政策の設計に示唆を与える。
In the global GX context
While focused on the U.S., this paper provides a novel framework for evaluating how heat policies influence migration, relevant globally as climate change intensifies. The contrasting effects of mitigation and adaptation policies highlight the need for integrated policy design, applicable to any country facing heat stress.
👥 読者別の含意
🔬研究者:Methodological approach combining machine learning with attribution mapping to assess policy impacts on migration offers a template for climate-migration studies.
🏢実務担当者:Local planners should consider that heat mitigation policies may inadvertently increase out-migration, while adaptation policies can retain populations.
🏛政策担当者:Heat policy design must account for heterogeneous effects on migration, with aging populations particularly sensitive to behavioral and cultural policies.
📄 Abstract（原文）
While climate-induced population migration has received rising attention, the role played by human climate endeavors remains underexplored. Here, we combine machine learning with attribution mapping to analyze the impacts of 4,713 heat-related policies (HPs) on 11,177 migration flows between U.S. counties. We find that heat adaptation policies (APs) and heat mitigation policies (MPs) have significant and opposing impacts on internal migration: APs reduce out-migration, while MPs increase it. These policies have heterogeneous effects on migration among policy types. Behavioral and cultural MPs at origins lead to a 0.24%-0.68% (95% confidence interval) increase in annual outflows per policy, whereas behavioral and cultural APs at destinations elevate outflows of origins by 0.11%-1.55% (95% confidence interval). Migration patterns are nonlinearly moderated by income, ageing, education, and racial diversity of both origin and destination counties. Ageing rates have the most noticeable U-shaped relationship in shaping migration responses to behavioral and cultural MPs at origins, and inverted U-shapes for institutional MPs at origins and nature-based MPs at destinations. These findings offer critical insights for policymakers on how HPs influence migration as global warming and policy interventions persist.
🔗 Provenance — このレコードを発見したソース
- openalex https://arxiv.org/abs/2604.10570first seen 2026-05-05 19:13:57
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