2023
DOI: 10.3390/en16073094
|View full text |Cite
|
Sign up to set email alerts
|

Exploring the Driving Factors and Their Spatial Effects on Carbon Emissions in the Building Sector

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 investigat… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
4

Relationship

0
4

Authors

Journals

citations
Cited by 4 publications
(1 citation statement)
references
References 33 publications
0
1
0
Order By: Relevance
“…Liu et al [13] investigated the retrofitting of existing residential buildings in China's hot summer-cold winter climate region to improve energy performance and move toward low-energy building goals. Wei et al [14] measured the life cycle carbon emissions of buildings and decomposed the drivers of carbon emissions in the materialization stage and operation stage of buildings. The optimized design is very helpful in improving energy efficiency and reducing the carbon emissions of buildings.…”
Section: Introductionmentioning
confidence: 99%
“…Liu et al [13] investigated the retrofitting of existing residential buildings in China's hot summer-cold winter climate region to improve energy performance and move toward low-energy building goals. Wei et al [14] measured the life cycle carbon emissions of buildings and decomposed the drivers of carbon emissions in the materialization stage and operation stage of buildings. The optimized design is very helpful in improving energy efficiency and reducing the carbon emissions of buildings.…”
Section: Introductionmentioning
confidence: 99%