The Distribution of Non-Purchased Fuel Carbon Emissions in Pakistan
パキスタンにおける非購入燃料炭素排出の分布 (AI 翻訳)
Zeynep Gizem Can, Cathal O’Donoghue, Jules Linden, Beenish Amjad, Nora Lustig
🤖 gxceed AI 要約
日本語
本論文は、パキスタンにおける非購入バイオマス燃料（薪、堆肥、農産残渣）を含む世帯エネルギー関連炭素排出の分布を分析する。2018年世帯予算調査を用い、選択調整分位点回帰を適用することで、非購入燃料の使用が貧困層・農村部に集中し、それを除外すると排出が過小評価されることを示す。
English
This paper analyzes household energy-related carbon emissions in Pakistan, focusing on non-purchased biomass fuels (firewood, dung cakes, agricultural residues). Using the 2018 Household Budget Survey and selection-adjusted quantile regression, it finds that reliance on non-purchased fuels is concentrated among poorer, rural households, and excluding these fuels understates emissions, especially at the lower end of the welfare distribution.
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
日本では非購入燃料への依存は限定的だが、本論文が示す炭素会計の死角は、国際的な排出インベントリの精度向上や途上国支援における教訓となる。特に、日本の国際協力において、バイオマス依存国の排出実態把握の重要性を示唆する。
In the global GX context
This study highlights a critical gap in carbon accounting: the omission of non-purchased biomass fuels in household emissions inventories. It is globally relevant for improving national greenhouse gas inventories in biomass-dependent economies and for distributional equity in climate policy.
👥 読者別の含意
🔬研究者:This paper provides empirical evidence and a methodological framework (selection-adjusted quantile regression) for measuring household carbon emissions from non-market fuels.
🏢実務担当者:Carbon accounting professionals in governments or NGOs working on national inventories in developing countries can use this to improve emission estimates.
🏛政策担当者:Policymakers should consider including non-purchased fuels in national emissions reporting to avoid underestimation and to design equitable climate mitigation strategies.
📄 Abstract（原文）
Abstract Household carbon emissions in low-and middle-income countries may be systematically underestimated when non-purchased biomass fuels are excluded from empirical analysis. This issue is particularly relevant in Pakistan, where poorer and rural households continue to rely on firewood, dung cakes, and agricultural residues obtained outside formal market transactions. This paper examines how incorporating non-purchased fuels changes the level and distribution of household energy-related carbon emissions in Pakistan. Using the 2018 Pakistan Household Budget Survey, we combine source-based emissions accounting with descriptive analysis and selection-adjusted quantile regression. This framework accounts for both the non-random incidence of non-purchased fuel use and heterogeneity across the consumption distribution. The results show that reliance on non-purchased fuels is concentrated among poorer and rural households and is closely associated with lower income, limited access to modern energy, household composition, and housing characteristics. Selection effects are also important, supporting the use of selection-corrected methods. The findings show that excluding nonmarket fuels understates household carbon emissions, particularly at the lower end of the welfare distribution. They highlight the need to incorporate non-purchased energy use into household emissions measurement and distributional environmental analysis in biomassdependent economies.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1088/2515-7620/ae863cfirst seen 2026-07-14 04:45:48
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