Research on factors influencing total carbon emissions of construction based on structural equation modeling: A case study from China

被引:16
作者
Yang, Liu [1 ,2 ]
Chen, Hongyu [3 ]
机构
[1] Wuhan Univ, Zhongnan Hosp, Wuhan 430071, Peoples R China
[2] Wuhan Univ, Econ & Management Sch, Wuhan 430072, Peoples R China
[3] Hong Kong Polytech Univ, Dept Bldg & Real Estate, Hong Kong 999077, Peoples R China
关键词
Construction carbon emission; Influencing factors of carbon emissions; Structural equation model; Path scores; Effect analyses; Abbreviation; CO2; EMISSIONS; INDUSTRY; EFFICIENCY;
D O I
10.1016/j.buildenv.2024.112396
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
As a pillar industry in China, the construction sector plays a crucial role in advancing the country's carbon emission (CE) reduction initiatives. The factors influencing CE in the construction industry (CI) are numerous and complex. This paper analyzes the influencing factors of CE in the CI based on structural equation modeling. Firstly, by combining the relevant literature and actual situation of CE in the CI, 38 common influencing factors corresponding to the building, economic, social, technological and energy levels are initially selected, and the data corresponding to each influencing factor in each province and city in China for 10 years are collected and then processed without dimension. Secondlyd, 12 hypothetical relationships between building, economic, social, technological and energy and CE from the CI are established based on the actual situation, and the initial CE in the CI structural equation model is established after the data set is tested for normal distribution, reliability and validity. Thirdly, the model is evaluated for path significance and model fit, and the modified structural equation model of CE from the CI is obtained after the initial model is modified, and the modified model is evaluated again. Finally, based on the modified model, the influence degree and effect of CE influencing factors in the CI are analyzed. It is concluded that economy, technology, and energy are the main factors successively affecting the total CE of buildings.
引用
收藏
页数:18
相关论文
共 78 条
[1]   An integrated indicator-based approach for constructing an urban flood vulnerability index as an urban decision-making tool using the PCA and AHP techniques: A case study of Alexandria, Egypt [J].
Abdrabo, Karim I. ;
Kantoush, Sameh A. ;
Esmaiel, Aly ;
Saber, Mohamed ;
Sumi, Tetsuya ;
Almamari, Mahmood ;
Elboshy, Bahaa ;
Ghoniem, Safaa .
URBAN CLIMATE, 2023, 48
[2]   Using grey Gompertz model to explore the carbon emission and its peak in 16 provinces of China [J].
Cai, Kai ;
Wu, Lifeng .
ENERGY AND BUILDINGS, 2022, 277
[3]   Developing a high-resolution emission inventory tool for low-carbon city management using hybrid method - A pilot test in high-density Hong Kong [J].
Cai, Meng ;
Shi, Yuan ;
Ren, Chao .
ENERGY AND BUILDINGS, 2020, 226
[4]   Climate change and health: three grand challenges [J].
Campbell-Lendrum, Diarmid ;
Neville, Tara ;
Schweizer, Christian ;
Neira, Maria .
NATURE MEDICINE, 2023, 29 (07) :1631-1638
[5]  
Change S., CB-SEM vs PLS-SEM methods for research in social sciences and technology forecasting, P173
[6]   Optimization of energy-saving retrofit solutions for existing buildings: A multidimensional data fusion approach [J].
Chen, Hongyu ;
Shen, Geoffrey Qiping ;
Feng, Zongbao ;
Liu, Yang .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2024, 201
[7]   Measuring CO2 emissions performance of China's construction industry: A global Malmquist index analysis [J].
Cheng, Min ;
Lu, Yujie ;
Zhu, Hang ;
Xiao, Jianzhuang .
ENVIRONMENTAL IMPACT ASSESSMENT REVIEW, 2022, 92
[8]   Dynamics and scenarios of carbon emissions in China's construction industry [J].
Du, Qiang ;
Shao, Long ;
Zhou, Jie ;
Huang, Ning ;
Bao, Tana ;
Hao, Chanchan .
SUSTAINABLE CITIES AND SOCIETY, 2019, 48
[9]   A study on the factors simultaneously affecting visual comfort in classrooms: A structural equation modeling approach [J].
Fakhari, Maryam ;
Vahabi, Vida ;
Fayaz, Rima .
ENERGY AND BUILDINGS, 2021, 249
[10]   Vulnerability simulation and evaluation of urban metro operation system: A hybrid structural equation model with system dynamics approach [J].
Feng, Zongbao ;
Chen, Hongyu ;
Liu, Yang .
INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION, 2024, 113