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中国建筑业碳排放:计算、因素和地区。

Carbon Emissions in China's Construction Industry: Calculations, Factors and Regions.

机构信息

School of Economics and Management, Chang'an University, Xi'an 710064, China.

School of Civil Engineering, Chang'an University, Xi'an 710061, China.

出版信息

Int J Environ Res Public Health. 2018 Jun 10;15(6):1220. doi: 10.3390/ijerph15061220.

DOI:10.3390/ijerph15061220
PMID:29890769
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6025463/
Abstract

The production of construction projects is carbon-intensive and interrelated to multiple other industries that provide related materials and services. Thus, the calculations of carbon emissions are relatively complex, and the consideration of other factors becomes necessary, especially in China, which has a massive land area and regions with greatly uneven development. To improve the accuracy of the calculations and illustrate the impacts of the various factors at the provincial level in the construction industry, this study separated carbon emissions into two categories, the direct category and the indirect category. The features of carbon emissions in this industry across 30 provinces in China were analysed, and the logarithmic mean Divisia index (LMDI) model was employed to decompose the major factors, including direct energy proportion, unit value energy consumption, value creation effect, indirect carbon intensity, and scale effect of output. It was concluded that carbon emissions increased, whereas carbon intensity decreased dramatically, and indirect emissions accounted for 90% to 95% of the total emissions from the majority of the provinces between 2005 and 2014. The carbon intensities were high in the underdeveloped western and central regions, especially in Shanxi, Inner-Mongolia and Qinghai, whereas they were low in the well-developed eastern and southern regions, represented by Beijing, Shanghai, Zhejiang and Guangdong. The value creation effect and indirect carbon intensity had significant negative effects on carbon emissions, whereas the scale effect of output was the primary factor creating emissions. The factors of direct energy proportion and unit value energy consumption had relatively limited, albeit varying, effects. Accordingly, this study reveals that the evolving trends of these factors vary in different provinces; therefore, overall, our research results and insights support government policy and decision maker’s decisions to minimize the carbon emissions in the construction industry.

摘要

建设项目的生产是碳密集型的,与提供相关材料和服务的多个其他行业相关联。因此,碳排放的计算相对复杂,需要考虑其他因素,特别是在中国,中国拥有巨大的土地面积和发展极不平衡的地区。为了提高计算的准确性,并说明建筑行业在省级层面上的各种因素的影响,本研究将碳排放分为直接类别和间接类别。分析了中国 30 个省份的建筑行业碳排放特征,并采用对数平均迪氏指数(LMDI)模型对主要因素进行分解,包括直接能源比例、单位价值能源消耗、产值效应、间接碳强度和产出规模效应。研究结果表明,2005 年至 2014 年间,碳排放呈上升趋势,而碳强度急剧下降,间接排放占大多数省份总排放量的 90%至 95%。欠发达的西部和中部地区(特别是山西、内蒙古和青海)的碳强度较高,而发达的东部和南部地区(以北京、上海、浙江和广东为代表)的碳强度较低。产值效应和间接碳强度对碳排放有显著的负向影响,而产出规模效应是造成排放的主要因素。直接能源比例和单位价值能源消耗的因素虽然影响有限,但各不相同。因此,本研究表明,这些因素的演变趋势在不同省份有所不同;因此,总的来说,我们的研究结果和见解支持政府政策和决策者的决策,以尽量减少建筑行业的碳排放。

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本文引用的文献

1
Spatiotemporal Changes of Built-Up Land Expansion and Carbon Emissions Caused by the Chinese Construction Industry.中国建筑业发展导致的建设用地扩张和碳排放的时空变化。
Environ Sci Technol. 2015 Nov 3;49(21):13021-30. doi: 10.1021/acs.est.5b01732. Epub 2015 Oct 16.
2
Do coal consumption and industrial development increase environmental degradation in China and India?煤炭消耗和工业发展是否加剧了中国和印度的环境恶化?
Environ Sci Pollut Res Int. 2015 Mar;22(5):3895-907. doi: 10.1007/s11356-014-3613-1. Epub 2014 Oct 3.
建筑施工阶段不同预制率的碳排放评估。
Int J Environ Res Public Health. 2022 Feb 18;19(4):2366. doi: 10.3390/ijerph19042366.
4
Impact of Land Urbanization on Carbon Emissions in Urban Agglomerations of the Middle Reaches of the Yangtze River.长江中游城市群土地城镇化对碳排放的影响
Int J Environ Res Public Health. 2021 Feb 3;18(4):1403. doi: 10.3390/ijerph18041403.
5
Dynamic evolution analysis of the factors driving the growth of energy-related CO2 emissions in China: An input-output analysis.中国能源相关二氧化碳排放增长驱动因素的动态演变分析:投入产出分析。
PLoS One. 2020 Dec 16;15(12):e0243557. doi: 10.1371/journal.pone.0243557. eCollection 2020.
6
Energy carbon emission structure and reduction potential focused on the supply-side and demand-side.能源碳排放结构及减排潜力聚焦于供给侧和需求侧。
PLoS One. 2020 Oct 6;15(10):e0239634. doi: 10.1371/journal.pone.0239634. eCollection 2020.
7
Multi-Agents-Based Modeling and Simulation for Carbon Permits Trading in China: A Regional Development Perspective.基于多主体的中国碳排放权交易建模与仿真:区域发展视角。
Int J Environ Res Public Health. 2020 Jan 1;17(1):301. doi: 10.3390/ijerph17010301.