The Influencing Factors of Carbon Emissions in Chinese Construction Industry Based on Factor Analysis and Improved STIRPAT Model

被引：0
|
作者：
Zhang, Qi [1 ]
Hao, Shengyue [1 ]
Ren, Xu [2 ]
机构：
[1] Beijing Jiaotong Univ, Dept Engn & Project Management, Beijing 100044, Peoples R China
[2] Beijing Jiaotong Univ, Sch Econ & Management, Beijing 100044, Peoples R China
来源：
ICCREM 2017: INDUSTRY REGULATION AND SUSTAINABLE DEVELOPMENT | 2017年
关键词：
IPAT;
D O I：
暂无
中图分类号：
TU [建筑科学];
学科分类号：
0813 ;
摘要：
Quantitative analysis of the factors affecting the construction industry carbon emissions is important to achieve the construction of energy saving. So this article uses energy consumption data of 2014 to calculate the provincial carbon emissions accounting from construction industry. At the same time, based on the factor analysis to extract the main factors affecting the construction industry carbon emission, named scale factor, technical factors, and profit factor. On the basis of factor analysis to build an improved STIAPAT model and using the calculated carbon emissions calculated the degree of influence of each factor on carbon emissions. Finally, the transformation of economic growth, improve the technical level were proposed to promote the construction of energy-saving and emission reduction.
引用
收藏
页码：148 / 155
页数：8
相关论文
共 50 条
  • [21] The Spatiotemporal Distribution Characteristics and Driving Factors of Carbon Emissions in the Chinese Construction Industry
    Yang, Jun
    Zheng, Xiaodan
    BUILDINGS, 2023, 13 (11)
  • [22] Carbon peak path of the Chinese iron and steel industry based on the LMDI−STIRPAT model
    Pan C.-C.
    Wang B.-W.
    Hou X.-W.
    Gu Y.-Q.
    Xing Y.
    Liu Y.-S.
    Wen W.
    Fang J.
    Gongcheng Kexue Xuebao/Chinese Journal of Engineering, 2023, 45 (06): : 1034 - 1044
  • [23] Impact of intelligence on the carbon emissions of energy consumption in the mining industry based on the expanded STIRPAT model
    Wei, Lili
    Feng, Xiwen
    Liu, Peng
    Wang, Naikun
    ORE GEOLOGY REVIEWS, 2023, 159
  • [24] Comparative Analysis of Carbon Emissions in Tianjin Based on LMDI Method and STIRPAT Model
    Liu, Maohui
    Sun, Meng
    Liu, Shengnan
    Yue, Yayun
    Zhai, Huaxin
    Yang, Duokun
    Li, Jing
    2022 THE 6TH INTERNATIONAL CONFERENCE ON VIRTUAL AND AUGMENTED REALITY SIMULATIONS, ICVARS 2022, 2022, : 101 - 105
  • [25] Quantitative analysis of the impact factors of conventional energy carbon emissions in Kazakhstan based on LMDI decomposition and STIRPAT model
    Jiaxiu Li
    Yaning Chen
    Zhi Li
    Zhihui Liu
    Journal of Geographical Sciences, 2018, 28 : 1001 - 1019
  • [26] Quantitative analysis of the impact factors of conventional energy carbon emissions in Kazakhstan based on LMDI decomposition and STIRPAT model
    Li Jiaxiu
    Chen Yaning
    Li Zhi
    Liu Zhihui
    JOURNAL OF GEOGRAPHICAL SCIENCES, 2018, 28 (07) : 1001 - 1019
  • [27] Influencing Factors and Scenario Forecasts of Carbon Emissions of the Chinese Power Industry: Based on a Generalized Divisia Index Model and Monte Carlo Simulation
    Zhu, Lin
    He, Lichun
    Shang, Peipei
    Zhang, Yingchun
    Ma, Xiaojun
    ENERGIES, 2018, 11 (09)
  • [28] The Scale, Structure and Influencing Factors of Total Carbon Emissions from Households in 30 Provinces of China-Based on the Extended STIRPAT Model
    Wang, Yong
    Yang, Guangchun
    Dong, Ying
    Cheng, Yu
    Shang, Peipei
    ENERGIES, 2018, 11 (05)
  • [29] Study on regional differences in carbon emissions based on STIRPAT model
    Liu, Junjie
    Jia, Xingmei
    ADVANCES IN ASIA-PACIFIC LOW CARBON ECONOMY, 2010, : 39 - 44
  • [30] A scenario analysis of Chinese carbon neutral based on STIRPAT and system dynamics model
    Wen, Lei
    Zhang, Jie
    Song, Qianqian
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2022, 29 (36) : 55105 - 55130
12345