The Impact of Digitalization on Household Carbon Emissions: Evidence from the CFPS Database
デジタル化が世帯炭素排出に与える影響：CFPSデータベースからのエビデンス (AI 翻訳)
Hui Li
🤖 gxceed AI 要約
日本語
デジタル化が中国の世帯炭素排出に与える影響を、CFPSパネルデータとマクロデータを用いて分析。デジタル化は世帯全体の排出を削減するが、直接排出は減少し間接排出は増加するという「分化効果」を確認。都市部や高学歴世帯で排出削減効果が大きく、デジタル格差に起因する炭素削減能力の不平等が示唆された。
English
Using panel data from the China Family Panel Studies (CFPS) and macroeconomic indicators, this study finds that digitalization significantly reduces per capita household carbon emissions. However, it creates a differentiation effect: direct emissions from fossil fuels decrease while indirect emissions from electricity and consumption increase. The emission reduction benefits are stronger in urban and better-educated households, highlighting potential inequality from the digital divide in the green transition.
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
本論文は中国の家庭を対象としているが、日本の家庭部門の脱炭素やスマートホーム施策において、デジタル化が排出構造に与える影響を考慮する上で示唆に富む。特に、デジタル格差が削減能力の不平等につながる点は、日本の高齢化や地域格差を踏まえた政策設計に参考となる。
In the global GX context
This paper provides micro-level evidence from China on how digitalization reshapes household carbon emissions, with a clear structural shift from direct to indirect emissions. For the global GX context, it underscores the need to integrate digital equity into climate policies, as the digital divide may exacerbate carbon inequality. The findings are relevant for countries pursuing digital-led decarbonization strategies.
👥 読者別の含意
🔬研究者:Offers robust panel data evidence on the causal effect of digitalization on household emissions, including structural decomposition, which can inform further research on digital economy and carbon reduction.
🏢実務担当者:Highlights how digitalization shifts emission sources from direct energy use to indirect consumption, suggesting that companies should focus on reducing embedded emissions in digital products and services.
🏛政策担当者:Provides evidence that digitalization can reduce household emissions overall, but warns of unequal benefits; policies should address the digital divide to ensure equitable green transitions.
📄 抄録（日本語訳）
全球气候变化与“双碳”目标的追求背景下，家庭作为能源使用和碳排放的关键贡献者日益受到关注。数字技术的普及正在重塑日常生活和能源消费模式，然而数字化如何影响家庭碳排放仍知之甚少。为弥补这一空白，我们将数字经济的宏观经济指标与微观层面的家庭面板数据相结合，并估计一个具有双向固定效应的模型，考察数字化对人均家庭碳排放及其构成的影响。我们的研究结果表明，数字化显著降低了人均家庭总排放量，但同时也对排放结构产生了明显的“分化效应”：化石燃料的直接排放显著下降，而电力使用以及商品和服务消费所蕴含的间接排放则上升。异质性分析表明，减排效益在城市地区和受教育程度较高的家庭中更为显著，这暗示绿色转型中数字鸿沟可能导致碳减排能力的不平等。本文为数字经济的环境后果提供了微观层面的证据，并为数字化与低碳发展相协调以及设计差异化减排政策提供了理论支持。
AI 翻訳（deepseek-v4-flash）。 正確を期す場合は下の原文を参照してください。
📄 Abstract（原文）
With global climate change and the pursuit of "dual carbon" goals, households have drawn growing attention as key contributors to energy use and carbon emissions. The spread of digital technologies is reshaping daily life and energy consumption patterns, yet how digitalization affects household carbon emissions remains poorly understood. To address this gap, we combine macroeconomic indicators of the digital economy with micro-level household panel data and estimate a model with two-way fixed effects, examining the effect of digitalization on per capita household carbon emissions and their composition. Our findings show that digitalization significantly reduces total per capita household emissions, but it also produces a clear "differentiation effect" on the emission structure: direct emissions from fossil fuels fall noticeably, while indirect emissions embedded in electricity use and the consumption of goods and services rise. Heterogeneity analysis indicates that the emission reduction benefits are stronger in urban areas and among better-educated households, pointing to a possible inequality in carbon reduction capacity arising from the digital divide in the green transition. This paper provides micro-level evidence on the environmental consequences of the digital economy and offers theoretical support for aligning digitalization with low-carbon development and for designing differentiated emission reduction policies.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.54254/2754-1169/2026.gt33447first seen 2026-05-17 07:20:40 · last seen 2026-06-16 04:53:02
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