Assessing Household Carbon Footprints and Climate Change Vulnerability Across Settlement Types in Maharashtra, India
インド・マハラシュトラ州の居住地タイプ別家庭炭素フットプリントと気候変動脆弱性の評価 (AI 翻訳)
Shubham Gurav, Himanshu Madavi, A. S. Jadhav, Suraj Vekhande, Pravin Mulay, A. Bhosale, Lalitkumar L. Maurya
🤖 gxceed AI 要約
日本語
マハラシュトラ州の1000世帯調査に基づき、世帯の炭素排出と気候変動脆弱性の関係を分析。大都市世帯は電力と交通による排出が多い一方、農村部は低排出だが気候災害による経済損失が大きい。逆転現象を実証し、地域別気候政策への示唆を提供。
English
This study analyzes household carbon footprints and climate vulnerability across settlement types in Maharashtra, India, using a survey of 1,000 households. Metropolitan households have highest emissions (electricity and transport), while rural and tribal households have lower emissions but face greater economic losses from climate events. The inverse relationship supports region-specific policies for climate justice.
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
インドの州レベルの実証研究だが、日本の地域間排出格差や気候正義の議論に示唆を与える。特に、SSBJ開示におけるScope3排出の地域特性や、自治体の適応策立案に参考となる。
In the global GX context
This paper provides empirical evidence of the emissions-vulnerability inverse at the subnational level, relevant to global discussions on climate justice and just transition. It supports ISSB's emphasis on context-specific disclosure and adaptation planning.
👥 読者別の含意
🔬研究者:Provides empirical evidence on household-level emissions and vulnerability disparities that can inform just transition modeling.
🏢実務担当者:Highlights need for region-specific mitigation and adaptation strategies beyond average footprints.
🏛政策担当者:Demonstrates that low-emitting communities may face higher climate risks, supporting targeted adaptation funding.
📄 Abstract（原文）
This study examines the relationship between household carbon emissions and climate change vulnerability across different settlement types in Maharashtra, India. A stratified household survey covering 1000 households across 123 villages and cities was conducted between August 2022 and March 2023. Household carbon footprints were estimated using activity-based emission factors and converted to carbon dioxide equivalents (CO₂e). The results reveal clear regional disparities in emissions and vulnerability. Metropolitan households recorded the highest emissions, mainly from electricity (42%) and transportation (37%), while urban households showed major contributions from transport (40%) and electricity (30%). In contrast, rural and tribal households generated lower overall emissions but experienced significantly higher economic losses due to climate-related events such as floods, droughts, and erratic rainfall. Biomass consumption accounted for 37% of emissions in rural areas and 57% in tribal households. The findings highlight an inverse relationship between carbon emissions and climate vulnerability, where communities contributing the least to greenhouse gas emissions face the greatest economic risks. The study provides empirical evidence to support region-specific climate mitigation and adaptation policies aimed at promoting climate justice and sustainable development in Maharashtra.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.9734/ajee/2026/v25i3906first seen 2026-06-29 08:34:09
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