Exploring the Impact of Digital Economy on Carbon Emission Intensity: Empirical Analysis Based on Panel Data of Chinese Cities
デジタル経済が炭素排出強度に与える影響：中国都市のパネルデータに基づく実証分析 (AI 翻訳)
Zhaohui Hao, Yashuo Liu
🤖 gxceed AI 要約
日本語
中国288都市の2013〜2022年パネルデータを用い、デジタル経済発展が炭素排出強度を有意に削減することを実証。産業構造の高度化と合理化が媒介経路であり、技術革新には短期的調整コスト（グリーンパラドックス）が観察された。空間波及効果も確認され、地域間協調の重要性が示唆される。
English
Using panel data for 288 Chinese cities from 2013 to 2022, this study finds that the digital economy significantly reduces urban carbon emission intensity. Mechanism analysis reveals industrial structure upgrading and rationalization as key channels, while technological innovation exhibits short-term adjustment costs (green paradox). Spatial spillovers are significant, highlighting the need for coordinated regional 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
中国都市レベルの実証結果は、日本企業の中国事業やデジタル技術を活用した脱炭素戦略に示唆を与える。日本のGX推進において、都市間連携や産業構造転換のエビデンスとして参考になる。
In the global GX context
This paper provides city-level evidence on digitalization-driven carbon reduction, relevant for global urban decarbonization. It contributes to understanding mechanisms and spatial heterogeneities, informing regional coordination for climate policy.
👥 読者別の含意
🔬研究者:Offers robust empirical evidence on the carbon-reduction effects of the digital economy, useful for further research on digitalization and decarbonization.
🏛政策担当者:Provides insights for designing digitally enabled and regionally coordinated decarbonization policies at the city level.
📄 Abstract（原文）
China’s urban low-carbon transition requires clearer city-level evidence on whether and how digitalization mitigates carbon emission intensity. Using panel data for 288 Chinese prefecture-level and above cities from 2013 to 2022, this study constructs a multidimensional Digital Economy Index and measures carbon emission intensity using EDGAR emissions and GDP at constant 2013 prices. We employ two-way fixed effects, instrumental variables, System GMM, robustness checks, mediation analysis, heterogeneity tests, and a Spatial Durbin Model. The results show that digital economy development significantly reduces urban carbon emission intensity, and this conclusion remains robust across alternative measurements, lag specifications, sample adjustments, fixed-effect structures, and endogeneity corrections. Mechanism analysis indicates that industrial structure rationalization and upgrading are key transmission channels, whereas technological innovation may generate short-term adjustment costs consistent with a “green paradox.” The carbon-reduction effect is stronger in old industrial base cities, cities with weaker initial innovation foundations, and cities with lower initial population density. Spatial analysis shows that digitalization generates significant carbon-reduction spillovers under geographical proximity, while economic-linkage-based spillovers are more complex. These findings provide theoretical and policy implications for digitally enabled and regionally coordinated urban decarbonization.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.3390/su18136726first seen 2026-07-26 05:23:05
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