The impact of land structure and function mixing on carbon emission efficiency: an examination of 268 Chinese cities
土地利用の構造および機能の混合が炭素排出効率に与える影響：中国268都市の検証 (AI 翻訳)
Qi Li, Luwei Liao, Zhenxiang Chen, Shuxuan He
🤖 gxceed AI 要約
日本語
本研究は、中国268の都市を対象に、土地利用の構造的混合と機能的混合が炭素排出強度に与える影響を比較分析した。構造的混合は経済集積を促進し炭素排出を削減するが、機能的混合は交通圧力を増大させ排出を悪化させる。空間計量分析により、機能的混合には空間的波及効果があり、近隣都市の排出圧力を高めることを示した。
English
This study examines the impact of land-use structural and functional mixing on carbon emission intensity across 268 Chinese cities. Structural mixing reduces emissions by promoting economic agglomeration, while functional mixing increases emissions due to traffic congestion. Spatial econometric analysis reveals significant spillover effects from functional mixing, exacerbating emissions in neighboring cities.
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
日本の都市計画やコンパクトシティ政策においても、土地利用の混合形態が炭素排出に与える影響は重要な論点である。ただし本研究は中国の都市データに基づくため、日本の文脈に直接適用するには都市構造の違いを考慮する必要がある。
In the global GX context
This paper contributes to the global literature on low-carbon urban planning by distinguishing structural vs. functional land-use mixing. Its findings on spatial spillovers are relevant for policymakers designing regional climate strategies, though the Chinese context may limit direct transferability to other countries.
👥 読者別の含意
🔬研究者:Offers a comparative analytical framework for land-use mix and carbon emissions, with spatial econometric evidence.
🏢実務担当者:Urban planners can use the distinction between structural and functional mixing to prioritize strategies that reduce emissions.
🏛政策担当者:Highlights that functional mixing can have negative spillover effects, suggesting need for coordinated regional planning.
📄 Abstract（原文）
Extreme heat and disease transmission triggered by global warming pose severe threats to human health, creating an urgent need to promote low-carbon development. It is widely recognized that mixed land-use strategies play a critical role in reducing carbon emissions and mitigating global warming. In contrast to existing literature that solely focuses on either land structure mix or land function mix, this research integrates both into a unified analytical framework for comparative analysis. This approach aims to clarify the key directions that mixed land-use strategies should prioritize. By employing the information entropy method, this study utilizes remote sensing imagery and Point of Interest (POI) data to characterize structural and functional mixed land use across 268 prefecture-level cities in China, and further analyzes their impacts on carbon emission intensity. The experimental results show that land structure mix significantly reduces the carbon emission intensity; in contrast, the land function mix increases the carbon emission intensity. The mechanism analysis shows that the former generates positive externalities by promoting economic agglomeration, offsetting the negative effects of traffic congestion, whereas the latter intensifies the urban traffic pressure and does not show significant agglomeration effects. The spatial econometrics results further show that a significant spatial spillover effect of functional mixing, which further amplifies the carbon emission pressure in the city. The article further proposes policy recommendations.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.3389/fpubh.2026.1893717first seen 2026-07-10 05:30:23
🔔 こうした論文の新着を逃したくない方は キーワードアラート に登録（無料・3キーワードまで）。
gxceed は公開メタデータに基づく研究支援データセットです。要約・翻訳・解説は AI 支援で生成されています。 最終的な解釈・検証は利用者が原典資料に基づいて行うことを前提とします。