Research on Influencing Factors of Carbon Emissions in the Regional Construction Industry: A Case Study of Jiangxi Province

This study focuses on carbon emissions (CE) in the construction industry of Jiangxi Province. Using the emission factor method, it calculates the CE throughout the entire lifecycle of the construction sector and analyzes the trends and characteristics of emissions from 2008 to 2021. Grey correlation analysis and the STIRPAT model are employed to identify key influencing factors of CE, followed by corresponding emission reduction strategies and recommendations. The results show that CE from Jiangxi’s construction industry increased by 6.25 times between 2008 and 2021, with building material consumption and residential buildings accounting for 80% of the total lifecycle emissions. Key influencing factors include the gross output value of the construction industry, per capita GDP, regional population, and the level of green technology innovation, with the latter exhibiting an inhibitory effect on CE.

Authors

Institutions

Publication Details

Journal
Sustainability
Published
2026-01-02
DOI
https://doi.org/10.3390/su18010469
Primary Topic
Environmental Impact and Sustainability
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Research on Influencing Factors of Carbon Emissions in the Regional Construction Industry: A Case Study of Jiangxi Province

Jianglin Gu, Xiaojian Guo, Jing Liu, Shenqiang Fu
Sustainability
Environmental Impact and Sustainability
article

Research on Influencing Factors of Carbon Emissions in the Regional Construction Industry: A Case Study of Jiangxi Province

Jianglin Gu, Xiaojian Guo, Jing Liu, Shenqiang Fu
article en

Abstract

This study focuses on carbon emissions (CE) in the construction industry of Jiangxi Province. Using the emission factor method, it calculates the CE throughout the entire lifecycle of the construction sector and analyzes the trends and characteristics of emissions from 2008 to 2021. Grey correlation analysis and the STIRPAT model are employed to identify key influencing factors of CE, followed by corresponding emission reduction strategies and recommendations. The results show that CE from Jiangxi’s construction industry increased by 6.25 times between 2008 and 2021, with building material consumption and residential buildings accounting for 80% of the total lifecycle emissions. Key influencing factors include the gross output value of the construction industry, per capita GDP, regional population, and the level of green technology innovation, with the latter exhibiting an inhibitory effect on CE.

SustainabilityVol. 18(1)
Jiangxi University of Science and Technology (CN)
Industry, innovation and infrastructure
Openalex Percentile: Top 99%
Environmental Impact and Sustainability
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.