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双碳目標背景下における中国建設業の炭素排出の時空間的進化とその影響要因

Evolution of carbon emissions in China’s construction industry and its influencing factors from a spatiotemporal perspective under the background of dual carbon goals (原題)

Ting-Gui Chen, Jiawen Ye, Bing Wang

Humanities and Social Sciences Communications📚 査読済 / ジャーナル2026-06-11#炭素会計Origin: CN経営インパクト: コスト削減対象セクター: construction
DOI: 10.1057/s41599-026-07923-4
原典: https://www.nature.com/articles/s41599-026-07923-4_reference.pdf
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🤖 gxceed AI 要約

日本語

本論文はライフサイクル評価(LCA)を用いて中国建設業の炭素排出を原材料調達・施工・運用・廃棄の4段階で算出し、社会ネットワーク分析とQAP回帰により省間の空間相関構造と影響要因を分析した。建物運用段階が最大の排出源であり、排出は南東部から東部・中部、さらに北部へと時空間的に移転している。広東・江蘇・山東・浙江・河南がネットワークの中心、甘粛・青海・寧夏・新疆が周辺に位置し、影響要因は空間相関、経済発展水準の差、産業構造の差の順に大きい。

English

Using life cycle assessment, this study quantifies carbon emissions across four stages of China's construction industry and applies social network analysis and QAP regression to examine the spatial correlation network of emission intensity. Building operation is the dominant emission stage, and emissions shift spatiotemporally from the southeast toward eastern, central, and northern regions. Guangdong, Jiangsu, Shandong, Zhejiang, and Henan form the network core, while Gansu, Qinghai, Ningxia, and Xinjiang remain peripheral; spatial correlation, economic development gaps, and industrial structure differences are the main influencing factors.

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

中国の建設業を対象とした地域間排出ネットワーク分析であり、日本のSSBJ・有報開示やScope 3算定に直接対応するものではない。ただし、建物運用段階が最大排出源であるという知見は、日本企業の不動産・建設セクターにおけるScope 1・2削減や省エネ投資の優先順位を検討する際の参考になる。

In the global GX context

This paper offers a China-specific, region-level analysis of construction-sector emissions rather than a disclosure-framework study, so its direct link to TCFD/ISSB/CSRD is limited. Its value to global scholarship lies in demonstrating how LCA combined with spatial network methods can map embodied and operational emissions across regions, which is relevant to transition planning and building-sector decarbonization pathways in other large economies.

👥 読者別の含意

🔬研究者:LCAと社会ネットワーク分析を組み合わせた地域間排出構造の定量手法として参考になる。

🏢実務担当者:建物運用段階が最大排出源である点は、不動産・建設企業の省エネ投資やScope 1・2削減優先順位の検討に示唆を与える。

🏛政策担当者:地域間の排出移転パターンと中心・周辺省の把握は、建設業の炭素削減政策を地域別に設計する際の基礎情報となる。

📄 Abstract(原文)

The construction industry, a key emission sector, generates a large amount of carbon dioxide at every stage of its life cycle. As a major carbon-emitting country with accelerating urbanization and a large building stock, China finds it essential to study carbon-reduction strategies for its construction industry. This paper employs life cycle assessment (LCA) to calculate carbon emissions across four key stages: raw material extraction, onsite construction, building operation, and waste disposal. Furthermore, a social network model has been developed to analyze the spatial correlation network structure of carbon emission intensity within the construction industry. The quadratic assignment procedure (QAP) regression model is employed to examine the factors influencing this spatial network structure. The main conclusions drawn from the simulation analysis are as follows: (1) the building operation stage, characterized by the highest carbon emissions, is identified as a critical factor for carbon reduction in China’s construction industry. (2) Carbon emissions and emission intensity within the construction industry demonstrate a temporal and spatial transfer pattern, spreading from the southeastern region to the eastern and central regions and subsequently to the more remote northern areas. (3) Guangdong, Jiangsu, Shandong, Zhejiang, and Henan are at the center of the spatial correlation network, whereas Gansu, Qinghai, Ningxia, and Xinjiang are at the periphery of the network. (4) The factors influencing carbon emission intensity in China’s construction industry, in order of impact, are spatial correlation, differences in economic development levels, and variations in industrial structure.

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