长三角地区建筑业碳排放变化的时空特征及影响因素分析

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Abstract The carbon emissions of the construction sector in the Yangtze River Delta region were calculated using the carbon emission coefficient method in this paper. The spatial variations, evolutionary characteristics, and driving factors of carbon emissions across 26 cities in the Yangtze River Delta were analyzed using the slope index, Theil index, and Logarithmic Mean Divisia Index (LMDI). The results indicated that between 2004 and 2020, the carbon emissions from the construction industry in the Yangtze River Delta were first increased and then exhibited a wave-like fluctuation, overall presenting a high-in-the-east and low-in-the-west spatial pattern. The overall disparity in carbon emissions within the construction sector of the Yangtze River Delta was diminished, first showing a wave-like increase and then a gradual decline. Notably, within the Yangtze River Delta region, the intra-provincial discrepancies contributed more to the overall variance than the inter-provincial discrepancies. Among the driving factors, the effects of economic development and housing construction area promoted the increase in carbon emissions, while factors such as population density, energy consumption intensity, and energy structure intensity played a suppressing role.

Key words： construction sector carbon emissions Yangtze River Delta Slope index Theil index influencing factors

Received: 05 May 2023

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X799.1

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	LIU Ying
	WANG Yuan
	ZHU Lin

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LIU Ying,WANG Yuan,ZHU Lin. Analyzing carbon emissions in the Yangtze River Delta's construction industry: Spatiotemporal characteristics and influencing factors[J]. CHINA ENVIRONMENTAL SCIENCECE, 2023, 43(12): 6677-6688.

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http://www.zghjkx.com.cn/EN/ OR http://www.zghjkx.com.cn/EN/Y2023/V43/I12/6677

[1] Intergovernmental Panel on Climate Change (IPCC). AR6synthesis report: Climate change 2023[R]. Cambridge University Press, 2023.
[2] Lamb W F, Wiedmann T, Wiedmann T, et al. A review of trends and drivers of greenhouse gas emissions by sector from 1990 to 2018[J]. Environmental Research Letters, 2021,16:073005.
[3] Lu N, Feng S, Liu Z, et al. The determinants of carbon emissions in the Chinese construction industry: A spatial analysis[J]. Sustainability, 2020,12(4):1428.
[4] Chuai X, Huang X, Lu Q, et al. Spatiotemporal changes of built-up land expansion and carbon emissions caused by the Chinese construction industry[J]. Environmental Science & Technology, 2015,49(21):13021-13030.
[5] 清华大学建筑节能研究中心.中国建筑节能年度发展研究报告2022[R]. 北京:中国建筑工业出版社, 2022. Tsinghua University Building Energy Efficiency Research Center. Annual development research report on building energy efficiency in China 2022[R]. Beijing: China Architecture & Building Press, 2022.
[6] 魏光普,康瑜,范浩文,等.重工业城市建筑业碳排放核算与预测研究[J]. 生态经济, 2022,38(9):43-48. Wei G P, Kang Y, Fan H W, et al. Accounting and prediction on construction carbon emissions in heavy industry city[J]. Ecological Economy, 2022,38(9):43-48.
[7] Zhang Y, Hu S, Guo F, et al. Assessing the potential of decarbonizing China's building construction by 2060and synergy with industry sector[J]. Journal of Cleaner Production, 2022,359:132086.
[8] Guo X, Fang C. Spatio-temporal interaction heterogeneity and driving factors of carbon emissions from the construction industry in China[J]. Environmental Science and Pollution Research, 2022,30(34):81966-81983.
[9] 曹君丽,夏澳星,徐勇戈.建筑业边际减排成本的时空特征及异质性分析[J]. 环境科学与技术, 2022,45(9):142-152. Cao J L, Xia A X, Xu Y G. Spatial-temporal characteristics and heterogeneity analysis of marginal abatement costs of construction industry[J]. Environmental Science & Technology, 2022, 45(9):142-152.
[10] 袁润松,丰超.基于共同前沿生产理论的中国建筑业碳排放驱动因素分解:2000~2020年[J]. 中国人口·资源与环境, 2023,33(1): 161-170. Yuan R S, Feng C. Decomposition analysis of driving factors of carbon emissions in China's construction industry based on meta- frontier-production theory: 2000~2020[J]. China Population, Resources and Environment, 2023,33(1):161-170.
[11] Gao H, Li T, Yu J, et al. Spatial correlation network structure of carbon emission efficiency in China's construction industry and its formation mechanism[J]. Sustainability, 2023,15(6):5108.
[12] Dai D, Li K, Zhao S, et al.. Research on prediction and realization path of carbon peak of construction industry based on EGM-BP model[J]. Frontiers in Energy Research, 2022,10:981097.
[13] 洪竞科,李沅潮,郭偲悦.全产业链视角下建筑碳排放路径模拟:基于RICE-LEAP模型[J]. 中国环境科学, 2022,42(9):4389-4398. Hong J K, Li Y C, Guo S Y. Simulating building carbon emission path with a RICE-LEAP model from the perspective of the whole supply chain[J]. China Environmental Science, 2022,42(9):4389-4398.
[14] Huo T, Ren H, Zhang X, et al. China's energy consumption in the building sector: A statistical yearbook-energy balance sheet based splitting method[J]. Journal of Cleaner Production, 2018,185:665-679.
[15] Zhu W, Feng W, Li X, et al. Analysis of the embodied carbon dioxide in the building sector: A case of China[J]. Journal of Cleaner Production, 2020,269:122438.
[16] Wang Y, Liang Y, Shao L. Driving factors and peak forecasting of carbon emissions from public buildings based on LMDI-SD[J]. Discrete Dynamics in Nature and Society, 2022,2022:4958660.
[17] 项英辉,张豪华.环境规制提高建筑业碳生产率了吗?——基于空间计量和门槛效应的实证分析[J]. 生态经济, 2020,36(1):34-39. Xiang Y H, Zhang H H. Does environmental regulation increase the carbon productivity of the construction industry? An empirical research based on spatial econometric and threshold effect[J]. Ecological Economy, 2020,36(1):34-39.
[18] 徐水太,马彩薇,张胜龙,等.中国建筑业生态经济效率测度及影响因素[J]. 环境污染与防治, 2022,44(6):833-840. Xu S T, Ma C W, Zhang S L, et al. Measurement and influencing factors of eco-economic efficiency of China's construction industry[J]. Environmental Pollution and Control, 2022,44(6):833-840.
[19] 王幼松,江小敏,张扬冰.环境规制工具对建筑业碳排放的影响研究[J]. 工程管理学报, 2023,39(1):035-040. Wang Y S, Jiang X M, Zhang Y B. Research on the impact of environmental regulation tools on the carbon emission of the construction industry[J]. Journal of Engineering Management. 2023, 39(1):035-040.
[20] 孔凡文,李鲁波.省域建筑业碳排放空间分异及驱动因素分析[J]. 建筑经济, 2019,40(8):102-106. Kong F W, Li L B. Analysis on spatial distribution and driving factors of carbon emissions in provincial construction industry[J]. Construction Economy. 2019,40(8):102-106.
[21] 俞雅乖,沈盼熠,李瑜婷.国家级城市群建筑业碳排放效率的空间分异及影响因素[J]. 宁波大学学报(人文科学版), 2023,36(1):98-107. Yu Y G, Shen P Y, Li Y T. Spatial differentiation and influencing factors of carbon emission efficiency in construction industry of national urban agglomerations[J]. Journal of Ningbo University (Liberal Arts Edition), 2023,36(1):98-107.
[22] 洪竞科,刘禹彤,陈雨欣.中国省域建筑业碳锁定效应时空演进[J]. 资源科学, 2022,44(7):1388-1404. Hong J K, Liu Y T, Chen Y X. A spatiotemporal analysis of carbon lock-in effect in China's provincial construction industry[J]. Resources Science, 2022,44(7):1388-1404.
[23] Sun Y, Hao S, Long X. A study on the measurement and influencing factors of carbon emissions in China's construction sector[J]. Building and Environment, 2023,229:109912.
[24] Wu P, Song Y, Zhu J, et al. Analyzing the influence factors of the carbon emissions from China's building and construction industry from 2000 to 2015[J]. Journal of Cleaner Production, 2019,221:552-566.
[25] Wang Z, Zhou Y, Zhao N, et al. Spatial correlation network and driving effect of carbon emission intensity in China's construction industry[J]. Buildings, 2022,12(2):201.
[26] Chi Y, Liu Z, Wang X, et al. Provincial CO₂ emission measurement and analysis of the construction industry under China's carbon neutrality target[J]. Sustainability, 2021,13(4):1876.
[27] 黄琳琳,王远,张晨,等.闽三角地区碳排放时空差异及影响因素研究[J]. 中国环境科学, 2020,40(5):2312-2320. Huang L L, Wang Y, Zhang C, et al. A spatial-temporal decomposition analysis of CO₂ emissions in Fujian Southeast Triangle Region[J]. China Environmental Science, 2020,40(5):2312-2320.
[28] IPCC. Guidelines for national greenhouse gas inventories[M]. Japan: Institute for Global Environmental Strategies (IGES), 2006.
[29] 张艳东,赵涛.基于泰尔指数的能源消费区域差异研究[J]. 干旱区资源与环境, 2015,29(6):14-19. Zhang Y D, Zhao T. The differences of regional energy consumption based on Theil index[J]. Journal of Arid Land Resources and Environment. 2015,29(6):14-19.
[30] 康晓娟,杨冬民.基于泰尔指数法的中国能源消费区域差异分析[J]. 资源科学, 2010,32(3):485-490. Kang X J, Yang D M. An analysis on the difference of regional energy consumption in China based on the method of the Theil Index[J]. Resources Science, 2010,32(3):485-490.
[31] Isik M, Sarica K, Ari I. Driving forces of Turkey's transportation sector CO₂ emissions: An LMDI approach[J]. Transport Policy, 2020, 97:210-219.
[32] Wang W W, Zhang M, Zhou M. Using LMDI method to analyze transport sector CO₂ emissions in China[J]. Energy, 2011,36(10): 5909-5915.
[33] 李兆坚.我国城镇住宅空调生命周期能耗与资源消耗研究[D]. 北京:清华大学, 2007. Li Z J. Study on the life cycle consumption of energy and resource of air conditioning in urban residential buildings in China[D]. Beijing: Tsinghua University, 2007.