中国の低炭素パイロット政策は都市の生態的パフォーマンスを時間的・空間的にどう再形成するか？
How do China’s low-carbon pilot policies reshape urban ecological performance across time and space? (原題)
Ge Sun, Yating Fu
🤖 gxceed AI 要約
日本語
中国273都市・2006〜2023年を対象に、低炭素都市パイロット政策（LCPP）が都市の生態福祉パフォーマンス（EWP）を改善するかを、段階的DIDと空間ダービンモデルで検証した。グリーン技術革新とデジタル化が媒介経路であり、都市化が効果を強める。空間波及は第1批次で負、第2・3批次で正となり、地域や炭素ピーク目標日程によって効果が異なる。
English
Using a staggered difference-in-differences design across 273 Chinese cities (2006-2023), this study tests whether low-carbon pilot policies (LCPPs) improve urban ecological welfare performance (EWP). Green technological innovation and digitalization are key transmission channels, and urbanization strengthens the effect. Spatial spillovers are negative for the first pilot cohort but positive for later cohorts, with effects varying by region and carbon-peaking schedule.
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
中国の低炭素都市パイロットは、日本の自治体・都市単位の脱炭素先行地域や地域脱炭素ロードマップと類似の政策設計であり、空間波及や政策成熟度の知見は日本の地域GX政策・自治体連携の設計に示唆を与える。
In the global GX context
This adds empirical evidence on how place-based low-carbon pilots generate spatial spillovers and depend on implementation maturity, informing the design of subnational climate policy and just-transition frameworks relevant to global decarbonization governance beyond carbon pricing.
👥 読者別の含意
🔬研究者:段階的DIDと空間ダービンモデルによる政策評価手法と、政策成熟度・空間波及の実証知見を提供する。
🏢実務担当者:都市・地域単位の脱炭素投資やグリーン技術・デジタル化投資の効果を評価する際の参考になる。
🏛政策担当者:炭素ピーク目標を地域の発展段階に合わせて調整し、都市化戦略と低炭素パイロットを統合する必要性を示す。
📄 Abstract（原文）
Introduction China’s low-carbon city pilot program seeks to reconcile carbon emission reduction with economic growth and welfare improvement. This study examines whether low-carbon pilot policies (LCPPs) improve urban ecological welfare performance (EWP), the mechanisms through which these effects operate, and whether the policies generate spatial spillovers across cities. Methods We construct a comprehensive EWP index for 273 Chinese cities from 2006 to 2023 using the entropy weight method and estimate the effects of LCPPs using a staggered difference-in-differences framework. Green technological innovation and digitalization are examined as transmission channels, urbanization is considered as a moderating factor, and spatial spillover effects are assessed using a Spatial Durbin Model. Results LCPPs significantly improve urban EWP, with the effects exhibiting persistence and a lagged pattern. Green technological innovation and digital transformation constitute important channels through which LCPPs enhance EWP, while higher levels of urbanization strengthen the policy effect. Spatial spillovers differ across pilot cohorts: indirect effects are negative for the first batch but become positive for the second and third batches. The policy effects also vary across regions and carbon-peaking target schedules. Discussion The findings indicate that the effectiveness of LCPPs depends on policy design, implementation maturity, urban development stages, and intercity economic linkages. Policymakers should calibrate carbon-peaking targets to local development conditions, strengthen science and education investment to facilitate green innovation, and integrate low-carbon pilot initiatives with new-type urbanization strategies to enhance positive spatial spillovers and nationwide ecological welfare gains.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.3389/fenvs.2026.1883687first seen 2026-10-02 04:50:20
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