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The Impact of Population Aging on China’s Carbon Emissions: The Moderating Effect of Green Technology Innovation

人口高齢化が中国の炭素排出に与える影響:グリーン技術イノベーションの調整効果 (AI 翻訳)

XUKE LI, Izati Binti Zull Kepili Ema, Zhilin Chen

Business Management and Strategy📚 査読済 / ジャーナル2026-05-29#エネルギー転換Origin: CN
DOI: 10.5296/bms.v17i1.23711
原典: https://doi.org/10.5296/bms.v17i1.23711
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🤖 gxceed AI 要約

日本語

本研究は、中国の30省のパネルデータを用いて、人口高齢化が炭素排出に与える影響を分析。固定効果モデルと操作変数法により、高齢化は炭素排出を有意に削減し、グリーン技術イノベーションがこの削減効果を強化することを発見。しかし、深刻な高齢化地域ではエネルギー需要増加により効果が相殺される可能性がある。

English

Using panel data from 30 Chinese provinces (2015-2024), this study finds that population aging significantly reduces carbon emissions, with green technology innovation strengthening this effect. However, in deeply aging regions, rising energy demand may offset carbon reduction gains. The results highlight the need for differentiated low-carbon policies.

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

中国の事例だが、日本の高齢化と脱炭素政策にも示唆を与える。日本でも高齢化が進む中、グリーン技術の役割を考慮した政策設計が重要。

In the global GX context

While focused on China, this study offers insights for aging economies globally, including Japan and Europe, on how demographic shifts interact with green technology to affect carbon emissions. It underscores the need for region-specific climate policies.

👥 読者別の含意

🔬研究者:Empirical evidence on the moderating role of green innovation in the aging-emissions nexus, useful for comparative studies.

🏢実務担当者:Limited direct application, but firms in aging regions may consider energy demand shifts.

🏛政策担当者:Highlights the need for differentiated low-carbon policies accounting for aging and regional heterogeneity.

📄 Abstract(原文)

Against the backdrop of China’s carbon peaking and carbon neutrality goals, population aging and green technology innovation have become key factors influencing carbon emissions. This study investigates the impact of population aging on carbon emissions using a fixed-effects model with panel data from 30 Chinese provinces for 2015–2024. To address endogeneity, we employ 2SLS with lagged population aging as the instrumental variable. Results show that population aging significantly reduces carbon emissions. Green technology innovation strengthens this reduction effect. Heterogeneity analysis reveals that the mitigation effect of aging is significant only in developed and low-aging regions, while in deeply aging regions, carbon reduction effects may be offset by rising energy demand. These findings provide empirical implications for formulating differentiated low-carbon policies under population aging and green transition.

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