低炭素政策規制と空間効果：中国からのエビデンス
Low-carbon policy regulation and spatial effects: evidence from China (原題)
Yulin Zhu, Minzhi Sun
🤖 gxceed AI 要約
日本語
本研究は、中国の低炭素都市パイロット政策がPM2.5濃度に与える空間的影響を、2005年から2023年の277都市のデータを用いて分析。政策強度が高い地域では直接効果が有意である一方、低い地域では有意でない。また、政策は隣接都市のPM2.5濃度を低下させるが、距離が離れると「隣人追い出し」型の空間パターンに転換することを示した。
English
This study analyzes the spatial treatment effects of China's Low-carbon City pilot policy on PM2.5 concentrations across 277 cities from 2005 to 2023. It finds significant direct effects in high-policy-intensity regions, and significant spatial spillover effects on neighboring cities, but the pattern shifts to a beggar-thy-neighbor situation as distance increases.
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
中国の低炭素都市政策の空間的波及効果を実証した研究であり、日本の自治体や地域間連携の政策設計に示唆を与える。特に、政策の空間的スピルオーバーと距離減衰効果は、日本の広域連携や都市間協力の枠組みを考える上で参考になる。
In the global GX context
This paper provides empirical evidence on the spatial spillover effects of low-carbon city pilots, contributing to the global literature on climate policy evaluation. It offers insights for policymakers designing regional cooperation mechanisms and highlights the risk of beggar-thy-neighbor dynamics in decentralized climate governance.
👥 読者別の含意
🔬研究者:Spatial causal inference methods applied to climate policy evaluation; useful for researchers studying policy spillovers.
🏢実務担当者:Limited direct application for corporate sustainability teams, but insights on regional policy impacts may inform location strategy.
🏛政策担当者:Highlights the importance of spatial coordination in low-carbon policy design; relevant for regional and national policymakers.
📄 Abstract（原文）
This study examines the spatial treatment effects of Low-carbon City pilot policy on PM2.5 concentrations across 277 cities in China from 2005 to 2023. Based on spatial causal inference, this study finds that this policy significantly decreases PM2.5 concentrations in regions with greater policy intensity, while the direct effects of this policy are not significant in regions with lower policy intensity. Furthermore, the implementation of this policy reduces PM2.5 concentrations in the neighbouring cities from the perspective of spatial effects while its direct effects are weaker. The implementation of Low-carbon City pilot policy diminishes PM2.5 concentrations through increasing environmental technological innovation capacity and average green asset ratio of regional firms. This study further examines the spatial attenuation effects and heterogeneous impacts arising from differentiated policy regulation intensity, indicating the transformation of the spatial pattern from mutual collaboration to a beggar-thy-neighbour situation as distance increases.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1080/00036846.2026.2721545first seen 2026-08-26 04:38:09
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