The association between the carbon footprint and the socio-economic characteristics of Belgian households
ベルギー世帯の炭素フットプリントと社会経済的特性の関連 (AI 翻訳)
Petra Zsuzsa Lévay, Josefine Vanhille, Tim Goedemé, Gerlinde Verbist
🤖 gxceed AI 要約
日本語
本研究は、ベルギー世帯の消費データと環境拡張産業連関モデルを組み合わせ、世帯の炭素フットプリントと社会経済的特性の関係を定量化した。低所得世帯は高所得世帯よりも支出あたりの排出原単位が高く、エネルギーや住宅など排出集約的な製品への支出割合が高いことを示した。また、生活水準と世帯規模が排出の主要な決定要因であり、排出の支出弾力性は1未満であるが、部門によって異なることを明らかにした。
English
This study combines Belgian household consumption data with an environmentally extended input-output model to quantify the relationship between household carbon footprints and socio-economic characteristics. It finds that lower-income households have higher emission intensity per euro spent, due to a larger share of spending on emissions-intensive goods like energy and housing. Living standards and household size are key determinants, and the expenditure elasticity of emissions is less than unity but varies by consumption domain.
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
日本の家計消費に基づく排出分布の理解は、カーボンプライシングや公平な気候政策の設計に有用。SSBJ開示や企業のScope3算定において、需要側の排出構造を把握する参考となる。
In the global GX context
This study provides empirical evidence on the distributional effects of carbon footprints, relevant for designing fair climate policies globally. It complements corporate disclosure frameworks like TCFD/ISSB by highlighting demand-side drivers of emissions, which can inform transition finance and policy design.
👥 読者別の含意
🔬研究者:Provides empirical evidence on household carbon footprint determinants, useful for demand-side emissions modeling and policy analysis.
🏢実務担当者:Offers insights into consumption-based emissions that can inform corporate Scope 3 assessments and product-level carbon footprinting.
🏛政策担当者:Highlights distributional aspects of carbon footprints, supporting the design of equitable carbon pricing and mitigation policies.
📄 Abstract（原文）
Understanding demand-side drivers and distribution of greenhouse gas emissions is key to design fair and efficient environmental policies. In this study, we quantify the relationship between the carbon footprint of consumption and socio-economic characteristics of Belgian households. We use a dataset that combines household-level consumption data with an environmentally extended input-output model which quantifies the greenhouse gas emissions embedded in the supply chain of goods and services that households consume. Similar to studies in other countries, we find that emission intensity (emissions per euro of expenditures) of households at the lower part of the income distribution is higher than that of richer households because poorer households spend higher share of their expenditures on emissions intensive products, especially on energy and housing. We also find that living standards and household size are the most important determinants of household consumption-related emissions. The expenditure-elasticity of household emissions is less than unity, i.e. emissions increase with expenditures, but in a less than proportionate way. However, the elasticity changes when emissions from different consumption domains are analyzed. It is lowest for energy and housing and highest for services.
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- openalex https://ideas.repec.org/p/hdl/wpaper/2005.htmlfirst seen 2026-08-02 18:18:40
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