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中国建筑业碳排放转移测度及碳排放时空分布分析

Measurement of Carbon Emission Transfer in China's Construction Industry and Analysis of Spatial and Temporal Distribution of Carbon Emissions.

作者信息

Xiao Wenwen, Song Wenhao, Pei Xuemei, Wang Lili

机构信息

School of Management Engineering Shandong Jianzhu University Jinan 250101 China.

School of Business Shandong Jianzhu University Jinan 250101 China.

出版信息

Glob Chall. 2025 Feb 13;9(4):2400368. doi: 10.1002/gch2.202400368. eCollection 2025 Apr.

DOI:10.1002/gch2.202400368
PMID:40255239
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12003213/
Abstract

The construction industry is an important material production sector in China's national economy, and the trade of goods and services between regions may lead to the transfer of carbon emissions from the construction industry. This study constructs a multiregion input-output table model containing 27 industries in 30 provinces in China from 2007 to 2017. It measures and analyzes carbon emissions and carbon transfer in China's construction industry, constructs a carbon emission transfer network for China's construction industry by combining a complex network model, and analyzes the spatial and temporal transfer structural characteristics of its network indicators. The results show that most provinces with higher carbon emissions from the construction industry are concentrated in the eastern coastal areas and regional center provinces, and in addition to the frequent carbon transfers within economically developed regions, the resource-intensive provinces also frequently have carbon transfers with economically developed provinces. Based on the results of this study, a differentiated carbon emission reduction plan is formulated, and policy recommendations for optimizing carbon emission reduction in the construction industry in each region are proposed.

摘要

建筑业是中国国民经济中重要的物质生产部门,地区之间的货物和服务贸易可能导致建筑业碳排放的转移。本研究构建了一个包含2007年至2017年中国30个省份27个行业的多区域投入产出表模型。对中国建筑业的碳排放和碳转移进行测度与分析,结合复杂网络模型构建中国建筑业碳排放转移网络,并分析其网络指标的时空转移结构特征。结果表明,建筑业碳排放较高的省份大多集中在东部沿海地区和区域中心省份,除经济发达地区内部碳排放转移频繁外,资源密集型省份与经济发达省份之间也频繁发生碳排放转移。基于本研究结果,制定差异化的碳排放减排方案,提出优化各地区建筑业碳排放减排的政策建议。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4f6/12003213/7bd40c250948/GCH2-9-2400368-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4f6/12003213/e6d3405197a1/GCH2-9-2400368-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4f6/12003213/84990bb0f78c/GCH2-9-2400368-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4f6/12003213/a1892eee3004/GCH2-9-2400368-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4f6/12003213/8e4de388b26f/GCH2-9-2400368-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4f6/12003213/ea58f9bea3ff/GCH2-9-2400368-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4f6/12003213/c2045df6f56e/GCH2-9-2400368-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4f6/12003213/5bc380ac1a6d/GCH2-9-2400368-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4f6/12003213/7bd40c250948/GCH2-9-2400368-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4f6/12003213/e6d3405197a1/GCH2-9-2400368-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4f6/12003213/84990bb0f78c/GCH2-9-2400368-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4f6/12003213/a1892eee3004/GCH2-9-2400368-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4f6/12003213/8e4de388b26f/GCH2-9-2400368-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4f6/12003213/ea58f9bea3ff/GCH2-9-2400368-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4f6/12003213/c2045df6f56e/GCH2-9-2400368-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4f6/12003213/5bc380ac1a6d/GCH2-9-2400368-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4f6/12003213/7bd40c250948/GCH2-9-2400368-g003.jpg

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本文引用的文献

1
Prediction of carbon emissions in China's construction industry using an improved grey prediction model.基于改进灰色预测模型的中国建筑业碳排放预测
Sci Total Environ. 2024 Aug 15;938:173351. doi: 10.1016/j.scitotenv.2024.173351. Epub 2024 May 23.
2
Eutrophication-driven infochemical dimethylsulfide accelerates carbon transfer in freshwater food chain.富营养化驱动的信息化学物质二甲基硫促进了淡水食物链中的碳转移。
J Environ Manage. 2024 Feb 27;353:120155. doi: 10.1016/j.jenvman.2024.120155. Epub 2024 Feb 2.
3
Feasibility assessment of the carbon emissions peak in China's construction industry: Factor decomposition and peak forecast.
中国建筑业碳排放峰值的可行性评估:因素分解与峰值预测。
Sci Total Environ. 2020 Mar 1;706:135716. doi: 10.1016/j.scitotenv.2019.135716. Epub 2019 Nov 27.
4
Study on embodied CO transfer between the Jing-Jin-Ji region and other regions in China: a quantification using an interregional input-output model.研究京津冀地区与中国其他地区之间的隐含 CO 转移:基于区域间投入产出模型的量化分析。
Environ Sci Pollut Res Int. 2018 May;25(14):14068-14082. doi: 10.1007/s11356-018-1547-8. Epub 2018 Mar 8.