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Carbon Emissions, Digital Economy and Labor Income: Evidence From China Migrants Dynamic Survey

炭素排出、デジタル経済と労働所得:中国移民動態調査からの証拠 (AI 翻訳)

Xiang Cheng, Z. W. Huang, Bowen Liang

Review of Development Economics📚 査読済 / ジャーナル2026-07-08#政策Origin: CN対象セクター: cross_sector
DOI: 10.1111/rode.70192
原典: https://doi.org/10.1111/rode.70192

🤖 gxceed AI 要約

日本語

中国のカーボンピークアウト・カーボンニュートラル目標下で、炭素排出と労働所得の関係を2016~2018年の中国移民動態調査(CMDS)データを用いて実証分析。結果は逆U字関係を示し、デジタル経済が所得向上と炭素依存低減に寄与することを明らかにした。地域・教育・産業別の差異も検討。

English

Using 2016-2018 China Migrants Dynamic Survey data, this study empirically examines the relationship between carbon emissions and labor income under China's carbon peak and neutrality goals. It finds an inverted U-shaped relationship and shows that the digital economy raises income levels while reducing dependence on carbon-intensive activities. Heterogeneity across regions, education levels, and industries is analyzed.

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

本論文は中国を対象とするが、日本企業が中国事業を展開する際の政策動向理解に有用。デジタル経済による炭素排出と所得のデカップリング可能性は、日本のGX戦略におけるデジタル活用のヒントとなる。

In the global GX context

This paper provides empirical evidence from China on how digitalization can mitigate the trade-off between carbon emissions and labor income. It informs global discussions on just transition and the role of digital economy in decarbonization, with implications for developing economies.

👥 読者別の含意

🔬研究者:Offers a novel empirical approach linking carbon emissions, digital economy, and labor income, with heterogeneity analysis for different regions and demographic groups.

🏢実務担当者:Limited direct business application, but highlights digital economy as a tool for reducing carbon dependence in labor markets.

🏛政策担当者:Provides policy insights for balancing climate mitigation and income growth, especially for developing economies pursuing low-carbon transition.

📄 Abstract(原文)

ABSTRACT China's carbon peak and carbon neutrality (CPCN) goals signify a profound restructuring of its economy and society, reshaping growth patterns and industrial upgrading. Yet, this low‐carbon transition may also constrain labor income growth. Meanwhile, the digital economy, as an important engine of high‐quality development, offers new opportunities to decouple income growth from carbon emissions through technological innovation and job creation. Using data from the 2016 to 2018 China Migrants Dynamic Survey (CMDS) matched with city‐level carbon emissions and digital economy indicators, this study empirically examines how carbon emissions affect labor income and whether digitalization mitigates these effects. Results show that labor income exhibits an inverted U‐shaped relationship with carbon emissions but that the digital economy both increases income levels and reduces their dependence on carbon‐intensive activities. The dependence of labor income on carbon emissions is stronger in central cities, among medium‐educated groups, and within secondary industries. The digital economy's mitigating role is stronger in the eastern region during the low‐carbon phase but becomes more evident in the central region at higher emission levels, and it more effectively reduces the carbon dependence of labor income among medium‐educated groups and workers in the secondary sector. Moreover, carbon emissions initially widen but later narrow urban–rural and gender income gaps, whereas digital economy development helps to reduce these disparities. These findings provide policy‐relevant insights for balancing climate mitigation and income growth, offering empirical guidance for China and other developing economies pursuing a low‐carbon, digitally driven transition.

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