LAPSE:2023.30837
Published Article
LAPSE:2023.30837
Exploring the Driving Factors and Their Spatial Effects on Carbon Emissions in the Building Sector
April 17, 2023
Abstract
This study measured the lifecycle carbon emissions of buildings in 30 Chinese provinces from 2005 to 2020 and decomposed the drivers of carbon emissions in the materialization stage and operation stage of building, respectively, using the Stochastic Impacts with the Regression on Population, Affluence, and Technology (STIRPAT) model in order to investigate the drivers of carbon emissions and their spatial influence effects in the building sector. The spatial Durbin model (SDM) was used to thoroughly investigate the spatial effects of carbon emissions and their drivers in the building sector under geographic and economic distances. According to the findings, China’s building sector has a high concentration of carbon emissions in the east and a low concentration in the west. There is also a sizable spatial autocorrelation, and the spatial spillover effects in the materialization and operation stages shift in opposite directions. To help the building sector to achieve the carbon peaking and neutrality goals, specific policy recommendations are made based on the study’s findings.
This study measured the lifecycle carbon emissions of buildings in 30 Chinese provinces from 2005 to 2020 and decomposed the drivers of carbon emissions in the materialization stage and operation stage of building, respectively, using the Stochastic Impacts with the Regression on Population, Affluence, and Technology (STIRPAT) model in order to investigate the drivers of carbon emissions and their spatial influence effects in the building sector. The spatial Durbin model (SDM) was used to thoroughly investigate the spatial effects of carbon emissions and their drivers in the building sector under geographic and economic distances. According to the findings, China’s building sector has a high concentration of carbon emissions in the east and a low concentration in the west. There is also a sizable spatial autocorrelation, and the spatial spillover effects in the materialization and operation stages shift in opposite directions. To help the building sector to achieve the carbon peaking and neutrality goals, specific policy recommendations are made based on the study’s findings.
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Keywords
building sector, carbon emissions, driving factors, spatial autocorrelation, spatial spillover effect
Subject
Suggested Citation
Wei J, Shi W, Ran J, Pu J, Li J, Wang K. Exploring the Driving Factors and Their Spatial Effects on Carbon Emissions in the Building Sector. (2023). LAPSE:2023.30837
Author Affiliations
Wei J: School of Economics and Finance, Xi’an Jiaotong University, Xi’an 710061, China [ORCID]
Shi W: Future City Innovation Technology Co., Ltd., Shaanxi Construction Engineering Holding Group, Xi’an 712000, China; SCEGC-XJTU Joint Research Center for Future City Construction and Management Innovation, Xi’an Jiaotong University, Xi’an 712000, China
Ran J: School of Economics and Finance, Xi’an Jiaotong University, Xi’an 710061, China
Pu J: Future City Innovation Technology Co., Ltd., Shaanxi Construction Engineering Holding Group, Xi’an 712000, China; SCEGC-XJTU Joint Research Center for Future City Construction and Management Innovation, Xi’an Jiaotong University, Xi’an 712000, China
Li J: School of Economics and Finance, Xi’an Jiaotong University, Xi’an 710061, China; Shaanxi Construction Engineering Group Co., Ltd., Xi’an 710003, China [ORCID]
Wang K: Future City Innovation Technology Co., Ltd., Shaanxi Construction Engineering Holding Group, Xi’an 712000, China; SCEGC-XJTU Joint Research Center for Future City Construction and Management Innovation, Xi’an Jiaotong University, Xi’an 712000, China
Shi W: Future City Innovation Technology Co., Ltd., Shaanxi Construction Engineering Holding Group, Xi’an 712000, China; SCEGC-XJTU Joint Research Center for Future City Construction and Management Innovation, Xi’an Jiaotong University, Xi’an 712000, China
Ran J: School of Economics and Finance, Xi’an Jiaotong University, Xi’an 710061, China
Pu J: Future City Innovation Technology Co., Ltd., Shaanxi Construction Engineering Holding Group, Xi’an 712000, China; SCEGC-XJTU Joint Research Center for Future City Construction and Management Innovation, Xi’an Jiaotong University, Xi’an 712000, China
Li J: School of Economics and Finance, Xi’an Jiaotong University, Xi’an 710061, China; Shaanxi Construction Engineering Group Co., Ltd., Xi’an 710003, China [ORCID]
Wang K: Future City Innovation Technology Co., Ltd., Shaanxi Construction Engineering Holding Group, Xi’an 712000, China; SCEGC-XJTU Joint Research Center for Future City Construction and Management Innovation, Xi’an Jiaotong University, Xi’an 712000, China
Journal Name
Energies
Volume
16
Issue
7
First Page
3094
Year
2023
Publication Date
2023-03-28
ISSN
1996-1073
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Original Submission
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PII: en16073094, Publication Type: Journal Article
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LAPSE:2023.30837
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https://doi.org/10.3390/en16073094
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Apr 17, 2023
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