The Spatial Relationship between CO2 Emissions and Economic Growth in the Construction Industry: Based on the Tapio Decoupling Model and STIRPAT Model

被引:12
|
作者
Li, Long [1 ]
Li, Yinting [1 ]
机构
[1] Harbin Univ Commerce, Sch Energy & Civil Engn, Harbin 150028, Peoples R China
关键词
construction industry; CO2; emissions; economic growth; spatial econometric model; ENVIRONMENTAL KUZNETS CURVE; CARBON-DIOXIDE EMISSIONS; ENERGY; DECOMPOSITION; HYPOTHESIS; INTENSITY;
D O I
10.3390/su15010528
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Studying the relationship between carbon emissions in the construction industry and economic growth in the construction industry is of great significance for the sustainable development of the industry and the country. This paper aims to analyze the decoupling status of various provinces, the spatial relationship between carbon emissions and economic growth, and provide targeted suggestions for promoting the green and sustainable development of the construction industry. The relevant panel data on CO2 emissions from the construction industry in 30 provinces and municipalities during China's "Thirteenth Five-Year Plan" period was collected and organized in this paper. A Tapio decoupling model and a spatial econometric model which is combined with the STIRPAT model are used in the paper. The research indicates that as a whole, China's construction industry is in a state of weak decoupling, and actions to reduce carbon dioxide emissions, bear fruit, and energy efficiency have been improved; the economic growth still promotes CO2 emissions and the relationship between the two is still in the rising phase of the CKC (Carbondioxide Kuznets Curve) curve; economic growth has significant spatial spillover effects, and economic growth in other regions will inhibit carbon dioxide emissions in the region, but its effect is lower than the promotion effect of direct effects. At this stage, the employee factor and technology development level also promote carbon dioxide emissions, and the spatial spillover effect is small. At the same time, the degree of influence of each influencing factor varies in different decoupling provinces.
引用
收藏
页数:12
相关论文
共 50 条
  • [31] Assessing the functional relationship between CO2 emissions and economic development using an additive mixed model approach
    Zanin, Luca
    Marra, Giampiero
    ECONOMIC MODELLING, 2012, 29 (04) : 1328 - 1337
  • [32] Decoupling analysis of economic growth, energy consumption and CO2 emissions in the industrial sector of Guangdong Province
    Guo, Qing
    You, Wenlan
    INTERNATIONAL JOURNAL OF LOW-CARBON TECHNOLOGIES, 2023, 18 : 494 - 506
  • [33] Research on Shanxi's CO2 Emissions Peak Based on STIRPAT Model
    Cong, Jianhui
    Kang, Wenmei
    Qin, Limei
    Zhang, Yixuan
    Wang, Xiaopei
    Liu, Qingyan
    PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON JUDICIAL, ADMINISTRATIVE AND HUMANITARIAN PROBLEMS OF STATE STRUCTURES AND ECONOMIC SUBJECTS (JAHP 2017), 2017, 159 : 283 - 289
  • [34] Exploring the link between CO2 emissions, health expenditure, and economic growth in Türkiye: evidence from the ARDL model
    Cobanogullari, Goekhan
    ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY, 2024, 26 (11) : 29605 - 29619
  • [35] The decoupling relationship between CO2 emissions and economic growth in the Chinese mining industry under the context of carbon neutrality
    Chen, Weigong
    Yan, Shenghua
    JOURNAL OF CLEANER PRODUCTION, 2022, 379
  • [36] Decoupling Analysis of CO2 Emissions in the Industrial Sector from Economic Growth in China
    Meng, Dan
    Li, Yu
    Zheng, Ji
    Li, Zehong
    Ye, Haipeng
    Li, Shifeng
    ENERGIES, 2021, 14 (16)
  • [37] The determinants of CO2 emissions in Brazil: The application of the STIRPAT model
    Somoye, Oluwatoyin Abidemi
    Ozdeser, Huseyin
    Seraj, Mehdi
    Turuc, Fatma
    ENERGY SOURCES PART A-RECOVERY UTILIZATION AND ENVIRONMENTAL EFFECTS, 2023, 45 (04) : 10843 - 10854
  • [38] Chinese cities exhibit varying degrees of decoupling of economic growth and CO2 emissions between 2005 and 2015
    Shan, Yuli
    Fang, Shuai
    Cai, Bofeng
    Zhou, Ya
    Li, Dong
    Feng, Kuishuang
    Hubacek, Klaus
    ONE EARTH, 2021, 4 (01): : 124 - 134
  • [39] Does ICT change the relationship between total factor productivity and CO2 emissions? Evidence based on a nonlinear model
    Ben Lahouel, Bechir
    Taleb, Lotfi
    Ben Zaied, Younes
    Managi, Shunsuke
    ENERGY ECONOMICS, 2021, 101
  • [40] The relationship between CO2 emissions, energy consumption and economic growth in Italy
    Magazzino, Cosimo
    INTERNATIONAL JOURNAL OF SUSTAINABLE ENERGY, 2016, 35 (09) : 844 - 857