Population migration shaped regional transfers and temporal changes in dietary carbon emissions in China from 2010 to 2020
人口移動が中国の食料由来炭素排出の地域間移転と時間的変化を形成（2010-2020年） (AI 翻訳)
Zhihui Li, H B Wu, Xiangzheng Deng
🤖 gxceed AI 要約
日本語
中国の都市化と大規模な国内移住が食生活と炭素排出に与える影響を、消費側の食料炭素フットプリントに焦点を当てて分析。2010年と2020年の国勢調査データを用い、移住に伴う住宅用食料消費排出（RFCCE）の変化を推計。移住による純排出は10.97から13.43 Mt CO2e/年に増加し、農村から都市への移住が主因。広東、浙江、上海が移入超過、中央・西部が移出超過。
English
This study quantifies how internal migration in China affects dietary carbon footprints from a consumption perspective. Using census data for 2010 and 2020, it estimates that migration-related net residential food consumption emissions increased from 10.97 to 13.43 Mt CO2e/yr, driven largely by rural-to-urban migration. Major net inflow provinces include Guangdong, Zhejiang, and Shanghai, while central and western provinces are net outflows. The findings highlight the need for migration-aware climate and dietary policies in urbanizing economies.
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
中国の事例だが、日本でも人口移動や食生活変化が地域別排出に与える影響は示唆的。SSBJ開示や自治体の排出削減計画において、消費側視点の排出評価の重要性を示す。
In the global GX context
This study provides empirical evidence on how migration shapes consumption-based carbon emissions, relevant for global climate policy and urban sustainability. It underscores the need for migration-aware strategies in rapidly urbanizing economies, offering insights for emission governance beyond China.
👥 読者別の含意
🔬研究者:Provides a method for linking migration data to consumption-based carbon footprints, useful for similar studies in other countries.
🏢実務担当者:Highlights the importance of considering population dynamics in corporate Scope 3 assessments and regional sustainability planning.
🏛政策担当者:Informs urban and regional climate policies by showing how migration affects dietary emissions and where mitigation efforts should focus.
📄 Abstract（原文）
China’s rapid urbanization and large-scale internal migration have important implications for dietary patterns and carbon emissions. Focusing on the consumption-side dietary carbon footprint rather than the entire food-system supply chain, this study accounts for migration-associated changes in residential food-consumption carbon emissions (RFCCEs) in China for the two census years 2010 and 2020. We integrate provincial urban–rural food consumption data, life-cycle carbon-footprint coefficients for 14 food categories, and 31 × 31 interprovincial migration matrices disaggregated into four migration types. Under a destination-diet acculturation scenario, net migration-associated RFCCEs increased from 10.97 Mt CO₂e yr −1 in 2010 to 13.43 Mt CO₂e yr −1 in 2020. Rural-to-urban migration accounted for the largest share of this net change (89% in 2010 and 85% in 2020), largely because many flows moved from rural origins with lower dietary carbon footprints to urban destinations with higher consumption of animal-based foods. Major net transfer-in provinces included Guangdong, Zhejiang, and Shanghai, whereas central and western provinces were the main net transfer-out regions. The study underscores the importance of migration-aware climate strategies and sustainable dietary policies in urban centers, offering insights for emission governance in rapidly urbanizing economies.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1007/s44274-026-00864-4first seen 2026-08-02 18:26:44
🔔 こうした論文の新着を逃したくない方は キーワードアラート に登録（無料・3キーワードまで）。
gxceed は公開メタデータに基づく研究支援データセットです。要約・翻訳・解説は AI 支援で生成されています。 最終的な解釈・検証は利用者が原典資料に基づいて行うことを前提とします。