CO₂排出の不平等：カーボンフットプリント、社会経済的相関要因、E技術の採用
Inequality of CO₂ Emissions. Carbon Footprint, Socioeconomic Correlates, and Adoption of E-Technology (原題)
Andreas Diekmann, Felix Ries, Tom Behringer
🤖 gxceed AI 要約
日本語
ドイツの大規模確率標本（GLEN）を用い、個人レベルの住居・移動・食・消費を網羅して炭素フットプリントを推計。平均8.6トン（公共インフラ含め9.7トン）で強い右裾、上位10%は下位10%の3倍を排出する。不平等の大半は移動、特に航空が牽引し、排出量の4割超・不平等の8割近くを占める。所得・学歴で排出は増え、ヒートポンプやEV等の低炭素技術採用も所得と持家に偏る。炭素価格の分配影響を論じる。
English
Using Germany's large register-based GLEN survey, the authors estimate individual carbon footprints across housing, mobility, diet, and consumption. Emissions average 8.6 tCO₂e per capita (9.7 with public infrastructure), are strongly right-skewed, and the 90th percentile emits three times the 10th. Mobility—largely aviation—drives over 40% of emissions but nearly 80% of inequality. Emissions rise with income and education, and low-carbon technology adoption (heat pumps, solar, EVs) skews toward higher-income homeowners, raising distributional concerns for carbon pricing.
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
炭素価格の分配影響を個人レベルで示す実証は、日本でのカーボンプライシング議論やGX推進における家計負担・公平性の論点に直結する。フットプリント推計手法はScope 3や家計消費ベース排出の議論にも示唆を与える。
In the global GX context
Provides granular individual-level evidence on how carbon pricing distributes burdens, relevant to the equity debates around EU ETS2 and CBAM. Its consumption-based footprint methodology informs household-level emissions accounting and just-transition policy design globally.
👥 読者別の含意
🔬研究者:個人レベルのフットプリント推計と不平等分解の手法・データ設計の参考になる。
🏢実務担当者:家計・従業員の排出構造と低炭素技術普及の所得格差を理解する材料になる。
🏛政策担当者:炭素価格導入時の家計負担の公平性と、低炭素技術普及支援の設計に示唆を与える。
📄 Abstract（原文）
We estimate the carbon footprint of the German resident population from the first wave of the German Longitudinal Environmental Study (GLEN), a large register-based probability sample, using a comprehensive module that measures housing, mobility, diet, and consumption at the individual level. Emissions are strongly right-skewed, averaging 8.6 tons of CO₂ equivalents per capita (9.7 including public infrastructure), and roughly two-thirds of the population emit below the mean. A person at the 90th percentile emits 3 times as much as one at the 10th. The four sectors contribute to total emissions as follows: Mobility 3.6 tons, housing 2.2, diet 1.6, and consumption 1.2. A source decomposition shows that inequality is overwhelmingly driven by mobility. This sector accounts for more than 40 percent of emissions but nearly 80 percent of total footprint inequality. A large part of the amount and variance of mobility is due to flights. Emissions rise with income (elasticity 0.22) and education, while environmental concern and Green Party preference are associated with lower footprints net of sociodemographic characteristics. The adoption of low-carbon technologies, such as heat pumps, solar energy, and electric cars, increases with income and favors homeowners. Finally, we discuss the distributional implications for carbon pricing.
🔗 Provenance — このレコードを発見したソース
- openalex https://osf.io/td4c3first seen 2026-10-17 04:48:03 · last seen 2026-10-20 04:38:57
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