夏热冬冷地区建筑业碳排放的关联性与波及性及敏感性分析——以湖南省为例
The Analysis of Correlation Properties and Spreading and Sensitivity Characteristics on CO2 Emission from Energy Consumption of Construction Sector in Hot Summer and Cold Winter Zone: A Case Study of Hunan Province
DOI: 10.12677/GSER.2022.114040, PDF,    科研立项经费支持
作者: 于洪铎, 赵 晨:湖南工业大学城市与环境学院,湖南 株洲;张 旺*:湖南工业大学城市与环境学院,湖南 株洲;湖南省绿色工业与城市低碳发展社科研究基地,湖南 株洲
关键词: 建筑碳排放关联性波及性敏感性EIO-LCA模型CO2 Emission of Construction Sector Correlation Properties Spreading Characteristics Sensitivity Characteristics EIO-LCA Model
摘要: 建筑业发展拉动了关联产业发展,不仅促进后者能耗碳排放的增长,也导致前者自身碳排放的增长,因而波及到整个国民经济各部门。基于EIO-LCA模型,采集湖南省2002、2007和2012年42部门投入产出表等数据,测算和分析建筑业能耗碳排放的关联性、波及性和敏感性及其变化。结果表明:建筑业是典型“高影响、高排放”部门,交通运输、仓储业和邮政业的前向关联性较大且稳定,通用、专用设备制造业的后向关联性也如此;建筑业能耗碳排放的影响力系数呈逐年上升之势,感应力系数却呈逐年下降之势,其他部门对建筑业能耗碳排放的拉动作用不显著;三个年份建筑业碳排放的技术、结构责任系数、及对各部门碳排放强度弹性的较大部门,集中在能源开采和洗选业,石油加工、炼焦及核燃料加工业,非金属矿物制品业,金属冶炼及压延加工业,电力、热力的生产和供应业,它们多属资源开采及加工部门。因此一应降低该部门生产中的碳排放,二来建筑业也要尽量减少对该部门的产品或服务需求。
Abstract: The development of construction sector has promoted the development of related industries. It not only promotes the growth of the latter’s energy consumption and carbon emissions, but also leads to the growth of the former’s own carbon emissions, which affected the whole national economy. Based on the EIO-LCA model, data such as IO Tables of 42 sectors in Hunan Province for 2002, 2007 and 2012 year were collected to measure and analyze the correlation properties and spreading and sensitivity characteristics of carbon emissions from energy consumption sector and their changes on the construction sector. The results show that: the construction sector was one of the typical “high-impact/high-emission” sectors; the forward correlation property of Transportation, Storage and Post Industry was large and stable, the backward correlation property of Manufacture of General and Special Purpose Machinery was also the same; the influence coefficients of construction sector’s carbon emissions from energy consumption were on the rise year by year, but sensitivity coefficients were on the declining year by year; the pulling affection were not significant for other sectors on the construction sector’s carbon emissions from energy consumption; the greater sectors of technical responsibility coefficients and structural responsibility coefficients on construction sector’s CO2, and elasticity regarding CO2 emission intensity of all sectors in 2002, 2007 and 2012 year, concentrated in Mining and Washing of energy, Processing of Petroleum, Coking, Nuclear Oil, Manufacture of Non-Metallic Mineral Products, Manufacture and Processing of Metals, Production and Supply of Electric & Heat Power, which mostly belong to the resource extraction and processing sectors. Therefore, one should reduce CO2 emissions from these sectors’ production, and the construction sector should also minimize demand for products or services of these sectors.
文章引用:于洪铎, 张旺, 赵晨. 夏热冬冷地区建筑业碳排放的关联性与波及性及敏感性分析——以湖南省为例[J]. 地理科学研究, 2022, 11(4): 407-416. https://doi.org/10.12677/GSER.2022.114040

参考文献

[1] Cabezalf, L.F., Rinconl, L., Vilarunov, V., Pérez, G. and Castell, A. (2014) Life Cycle Assessment (LCA) and Life Cycle Energy Analysis (LCEA) of Buildings and the Building Sector: A Review Article. Renewable and Sustainable Energy Reviews, 29, 394-416. [Google Scholar] [CrossRef
[2] Onat, N.C., Kucukvar, M. and Tatari, O. (2014) Scope-Based Carbon Footprint Analysis of U.S. Residential and Commercial Buildings: An Input-Output Hybrid Life Cycle Assessment approach. Building and Environment, No. 72, 53-62. [Google Scholar] [CrossRef
[3] Hawkins, T., Hendrickson, C., Higgins, C., Scott Matthews, H. and Suh, S. (2007) A Mixed-Unit Input-Output Model for Environmental Life-Cycle Assessment and Material Flow Analysis. Environmental Science & Technology, 41, 1024-1031. [Google Scholar] [CrossRef] [PubMed]
[4] Huang, L. and Bohne, R.A. (2012) Embodied Air Emissions in Norway’s Construction Sector: Input-Output Analysis. Building Research and Information, 40, 581-591. [Google Scholar] [CrossRef
[5] Acquaye, A.A. and Duffy, A.P. (2010) Input-Output Analysis of Irish Construction Sector Greenhouse Gas Emissions. Building and Environment, 45, 784-791. [Google Scholar] [CrossRef
[6] 刘立秋, 马家军, 孙鹏程. 基于投入产出方法的中国建筑业完全能耗影响因素分析[J]. 电子科技大学学报(社科版), 2015, 17(2): 41-45.
[7] 刘秀丽, 汪寿阳, 杨翠红, 陈锡康, 谢刚, 李慧勇. 基于投入产出分析的建筑节能经济——环境影响测算模型的研究和应用[J]. 系统科学与数学, 2010, 30(1): 12-21.
[8] 张智慧, 刘睿劼. 基于投入产出分析的建筑业碳排放核算[J]. 清华大学学报(自然科学版), 2013, 53(1): 53-57.
[9] 关军, 储成龙, 张智慧. 基于投入产出生命周期模型的建筑业能耗及敏感性分析[J]. 环境科学研究, 2015, 28(2): 297-300.
[10] 冯祥玉, 白宏涛, 徐鹤. 中国建筑业隐含碳排放估算及来源解析[J]. 未来与发展, 2018, 42(7): 42-50.
[11] 乐保林, 徐少君. 中国建筑业碳排放空间关联网络结构及其影响因素分析[J/OL]. 浙江理工大学学报(社会科学版), 2022: 1-9. http://kns.cnki.net/kcms/detail/33.1338.ts.20220505.1859.002.html, 2022-05-07.
[12] 王幼松, 石惠萌, 闫辉, 黄文炜, 郝志彪. 基于SDM的中国建筑业碳排放强度分布及空间效应分析[J]. 工程管理学报, 2021, 35(5): 1-6.
[13] 张广泰, 贾楠. 中国建筑业碳排放效率测度与空间关联特征[J]. 科技管理研究, 2019, 39(21): 236-242.
[14] 宋金昭, 陈策, 王晓平, 胡振. 基于超效率三阶段DEA模型的建筑业碳排放研究[J]. 环境科学与技术, 2019, 42(1): 193-200.
[15] 张旺. 基于PB-LCA的湖南省建筑碳足迹测算及其机理分析[J]. 科技导报, 2019, 37(22):133-142.
[16] Leontief, W. (1970) Environmental Repercussions and the Economic Structure: An Input-Output Approach. Review of Economics and Statistics, 52, 262-271. [Google Scholar] [CrossRef
[17] Alcantara, V., Tarancon, M. and Rio, P. (2013) Assessing the Technological Responsibility of Productive Structures in Electricity Consumption. Energy Economics, 40, 457-467. [Google Scholar] [CrossRef
[18] 陈国谦. 建筑碳排放系统计量方法[M]. 北京: 新华出版社, 2010.
[19] Saltelli, A., Chan, K. and Marian, S.E. (2000) Sensitivity Analysis. Vol. 134, Wiley, New York.
[20] Tarancon, M., Moran, T. and del Río González, P. (2007) A Combined Input-Output and Sensitivity Analysis Approach to Analyze Sector Linkages and CO2 Emissions. Energy Economics, 29, 578-597. [Google Scholar] [CrossRef
[21] 国涓, 唐焕文, 孙平. 投入产出弹性系数研究[J]. 辽宁工程技术大学学报, 2006, 25(5): 754-757.
[22] Wu, X. and Zhang, Z.-H. (2005) Input-Output Analysis of the Chinese Construction Sector. Construction Management and Economics, 23, 905-912. [Google Scholar] [CrossRef