Evaluating the impact of low-carbon city policies on urban land use efficiency: evidence from China’s green transition
低炭素都市政策が都市の土地利用効率に与える影響の評価：中国のグリーン転換からのエビデンス (AI 翻訳)
Tianhao Zhao, Longlong Duan
🤖 gxceed AI 要約
日本語
中国の低炭素都市パイロット政策が都市の土地利用効率（LUE）に与える影響を分析。281都市の2005～2021年のパネルデータを用いた差分の差分法により、政策がLUEを有意に向上させることを発見。そのメカニズムとして、グリーンイノベーションの促進と産業構造の高度化を特定。市場化度やグリーンファイナンス能力が高い地域で効果が大きい。
English
This study evaluates the impact of China's Low-Carbon City Pilot policy on urban land use efficiency (LUE) using panel data from 281 cities (2005-2021) and a staggered DID approach. Results show significant positive effects, driven by green innovation and industrial upgrading, with stronger effects in regions with higher marketization and green finance capacity.
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
本論文は中国の政策を対象としており、日本のGX政策（例：脱炭素先行地域）の評価手法として参考になる可能性がある。ただし、日本の土地利用規制や都市政策の文脈とは異なる点に注意。
In the global GX context
This paper provides empirical evidence on how low-carbon city policies can enhance land use efficiency, a novel outcome beyond typical environmental metrics. For global readers, it offers insights into policy design and mechanism channels relevant to urban sustainability transitions, though the Chinese institutional context limits direct transferability.
👥 読者別の含意
🔬研究者:Provides a rigorous quasi-experimental evaluation of a low-carbon policy on land use, offering a model for similar studies in other contexts.
🏛政策担当者:Highlights the potential for low-carbon policies to yield co-benefits in land efficiency, informing integrated urban planning.
📄 Abstract（原文）
This study examines the impact of China’s Low-Carbon City Pilot (LCCP) policy on urban land use efficiency (LUE), a pivotal yet underexplored aspect of sustainable urban development within the framework of the United Nations Sustainable Development Goals (SDGs). Using panel data from 281 prefecture-level cities between 2005 and 2021, the study employs a staggered Difference-in-Differences (DID) approach to estimate the policy’s effect. The results of the study showed that LCCP could significantly increase LUE, with results remaining robust across various alternative estimation strategies, including Propensity Score Matching Difference-in-Differences (PSM-DID), Difference-in-Differences with Multiple Time Periods (CSDID), and synthetic control (SC) methods. Mechanism analysis shows that these improvements may be driven through two channels: the advancement of green innovation and the upgrading of industrial structures. Additionally, according to the results of the heterogeneity analysis, policy’s effect is more significant in regions with higher marketization levels, stronger green finance capacity, and elevated administrative ranks. By extending the analysis of land governance beyond traditional environmental indicators and identifying the specific mechanisms and contextual factors, this study not only contributes new empirical insights into the spatial dynamics of China’s dual-carbon transition but also clarifies previously mixed findings by uncovering the mechanisms and contextual factors through which the LCCP enhances LUE.
🔗 Provenance — このレコードを発見したソース
- openaire https://doi.org/10.3389/fenvs.2025.1696599first seen 2026-05-14 21:46:02
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