デジタル・グリーン政策の組み合わせが都市の包摂的グリーン成長に与える影響:スマートシティと低炭素都市の二重パイロット政策からの証拠
Impact of Digital-Green Policy Combination on Urban Inclusive Green Growth: Evidence from China’s Dual Pilot Policies of Smart City and Low-Carbon City (原題)
Huixuan Zhang, Baojian Zhang
🤖 gxceed AI 要約
日本語
中国262都市の2011〜2023年データを用い、スマートシティと低炭素都市の二重パイロット政策が都市の包摂的グリーン成長に与える影響をマルチ期間DIDで分析。二重政策は係数0.1395で正の効果を持ち、炭素排出強度の低下を媒介経路とする。デジタル知識フローとグリーンファイナンスが正の調整効果を持ち、空間スピルオーバーも確認された。
English
Using 2011–2023 data from 262 Chinese cities, this study applies a multi-period difference-in-differences model to test whether combining smart-city and low-carbon-city pilot policies boosts urban inclusive green growth. The dual-policy combination shows a positive effect (coefficient 0.1395, p<0.01), mediated by reduced carbon emission intensity, and is positively moderated by digital knowledge flow and green finance. Positive spatial spillovers are also identified.
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
中国の都市政策パッケージ評価は、日本の地域脱炭素・スマートシティ政策(環境省・国交省連携)の設計や自治体GX予算の根拠づくりに示唆を与える。政策の順序や間隔が効果に与える影響の分析は、日本の複数省庁横断型GX政策の立案に参考になる。
In the global GX context
This paper contributes empirical evidence on how stacking digital and climate policies produces incremental urban decarbonization benefits, relevant to global debates on policy coherence and just transition in city-level climate governance. The mediation via carbon intensity and moderation by green finance connects to transition-finance and disclosure scholarship on measuring policy effectiveness.
👥 読者別の含意
🔬研究者:都市政策の組み合わせ効果と媒介・調整メカニズムをDIDで識別する実証設計の参考になる。
🏢実務担当者:自治体・企業がスマートシティと脱炭素政策の相乗効果を事業計画に組み込む際の根拠となる。
🏛政策担当者:デジタル政策と気候政策の統合設計、実施順序・間隔の調整、グリーンファイナンス活用の政策的示唆を得られる。
📄 Abstract(原文)
To examine whether combining the smart city pilot policy with the low-carbon city pilot policy contributes to urban inclusive green growth, and to investigate the effects and underlying mechanisms of this policy combination across different implementation scenarios, this study takes 262 Chinese cities as its sample and uses data from 2011 to 2023 for empirical analysis. The study defines the digital-green policy combination according to whether both pilot policies are in effect and adopts a multi-period difference-in-differences model to estimate its effects. Empirical results indicate that the digital-green policy combination positively affects urban inclusive green growth, with a coefficient of 0.1395 (p < 0.01). Tests by city type reveal that, compared with non-pilot cities and single-pilot cities, the digital-green policy combination yields incremental benefits for urban inclusive green growth. Analyses by policy implementation phase show that the coefficient of the dual-pilot phase is 0.2192, which exceeds the coefficients for the smart city pilot-only phase and the low-carbon city pilot-only phase by 0.1660 (p < 0.01) and 0.0984 (p < 0.05), respectively. Mechanism analysis shows that the digital-green policy combination negatively affects carbon emission intensity, with a coefficient of −0.2040 (p < 0.05), and that carbon emission intensity plays a mediating role. Both digital knowledge flow and green finance positively moderate the impact of the digital-green policy combination on urban inclusive green growth. Further analysis reveals that both the “smart city policy first” and “low-carbon city policy first” sequences have positive impacts on urban inclusive green growth, but their effects do not differ significantly. The time interval between policy implementations does not significantly moderate the impact of the digital-green policy combination on urban inclusive green growth. The digital-green policy combination significantly promotes inclusive green growth in key environmental protection cities, cities with ecological compensation, cities without ecological compensation, cities with high digital talent and cities with low digital talent. The differences in coefficients between groups classified by key environmental protection status and ecological compensation status are both statistically significant, whereas the differences in coefficients between groups classified by digital talent levels are not statistically significant. Positive spatial spillover effects are also identified, indicating that the benefits of the digital-green policy combination extend to other cities through economic–geographic linkages.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.3390/land15112128first seen 2026-11-12 04:58:50 · last seen 2026-11-14 05:04:50
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