Climate Migration and Environmental Pressure: A Global Panel Analysis of the Migration–Emissions Nexus
気候移住と環境圧力：移住と排出の関係性に関するグローバル・パネル分析 (AI 翻訳)
Rui Alexandre Castanho, Gözde Meral, Paulo Ferreira, Zeynep Köse, Luís Loures, Sema Yılmaz
🤖 gxceed AI 要約
日本語
気候変動と移民の関係を、高脆弱性8カ国の2000〜2024年パネルデータで検証。移民と気候変動の双方向因果、経済成長から気候変動への一方向因果、人口から移民への因果などを確認し、気候移住の複雑な要因連関を実証した。
English
This study examines the bidirectional causal links between climate change and migration using panel data from eight climate-vulnerable countries (2000–2024). It finds two-way causality between migration and climate change, one-way causality from economic growth to climate change, and from population to migration, highlighting the complex drivers of climate mobility.
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
日本のGX政策に直接結びつくテーマではないが、海外サプライチェーンや途上国事業における気候リスク把握の背景情報として有用。気候移住が日本企業のグローバルな人権・環境対応に間接的示唆を与える。
In the global GX context
Adds empirical evidence to the climate-mobility literature relevant for global climate risk assessment and adaptation frameworks. For disclosure scholarship, it supports the case for including climate-driven social displacement in climate risk scenarios, aligning with the evolving scope of TCFD/ISSB risk reporting.
👥 読者別の含意
🔬研究者:Provides panel evidence on bidirectional migration–climate causality that can inform climate risk modeling and adaptation research.
🏛政策担当者:Reinforces the need to integrate climate migration into national adaptation and disaster risk reduction policies.
📄 Abstract（原文）
The aim of this study is to analyse the relationship between climate change and migration during the 2000–2024 period in selected countries (Bangladesh, India, Pakistan, Ethiopia, the Democratic Republic of the Congo, Somalia, Chad and the Philippines) that exhibit high vulnerability to climate change, are prone to natural disasters and face various economic and social vulnerabilities. Within this scope, the relationships between climate change and the variables of net migration, population, energy consumption and economic growth were tested using panel data analysis methods. According to the findings of the study, a bidirectional causal relationship was identified between migration and climate change. A unidirectional causal relationship was identified from economic growth to climate change. Regarding the relationship between energy consumption and climate change, a unidirectional causal relationship was identified from carbon emissions to energy consumption. Furthermore, a bidirectional causal relationship was found between population and climate change. Regarding the relationship between migration and economic growth, a causal relationship was found from migration to economic growth, while no significant relationship was found from economic growth to migration. No causal relationship was found between energy consumption and migration. Regarding the relationship between population and migration, a unidirectional causal relationship from population to migration was identified.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.1002/sd.71504first seen 2026-07-31 06:58:37
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