Proceedings of the 2026 5th International Conference on Engineering Management and Information Science (EMIS 2026)

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Research on Carbon Emission Measurement and Decoupling Analysis of the Construction Industry in Liaoning Province

Authors
Haonan Guo1, *, Ziyang Wang2
1School of Business Administration, Liaoning Technical University, Huludao, 125000, China
2School of Electronic and Information Engineering, Liaoning Technical University, Huludao, 125000, China
*Corresponding author. Email: 472321195@stu.lntu.edu.cn
Corresponding Author
Haonan Guo
Available Online 19 April 2026.
DOI
10.2991/978-94-6239-652-4_4How to use a DOI?
Keywords
Construction Industry; Carbon Emission; Tapio and Lmdi Model
Abstract

In the process of energy structure adjustment guided by the “dual carbon” target, the decoupling of carbon emissions from economic development is widely considered an important indicator for evaluating the effectiveness of regional low-carbon emission reduction efforts. This paper takes the construction industry in Liaoning Province as an example to study its carbon emissions. By accurately calculating carbon emissions from 2009 to 2022, a solid data foundation for the study is established. Based on this, the Tapi decoupling model is used to analyze the decoupling relationship between carbon emissions and economic development in the construction industry of Liaoning Province. Furthermore, the Lmdi model is used to systematically analyze the driving factors of carbon emissions in the construction industry, comprehensively exploring various influencing factors and revealing their mechanisms and impact. The results show that from 2009 to 2022, the carbon emissions of the construction industry in Liaoning Province exhibited an unstable decoupling trend with economic development, and carbon emissions were driven by multiple interacting factors. Finally, based on the characteristics of the construction industry, this paper proposes corresponding low-carbon development strategies to help the industry achieve carbon emission reduction targets while promoting economic development.

Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2026 5th International Conference on Engineering Management and Information Science (EMIS 2026)
Series
Advances in Computer Science Research
Publication Date
19 April 2026
ISBN
978-94-6239-652-4
ISSN
2352-538X
DOI
10.2991/978-94-6239-652-4_4How to use a DOI?
Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Haonan Guo
AU  - Ziyang Wang
PY  - 2026
DA  - 2026/04/19
TI  - Research on Carbon Emission Measurement and Decoupling Analysis of the Construction Industry in Liaoning Province
BT  - Proceedings of the  2026 5th International Conference on Engineering Management and Information Science (EMIS 2026)
PB  - Atlantis Press
SP  - 27
EP  - 33
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6239-652-4_4
DO  - 10.2991/978-94-6239-652-4_4
ID  - Guo2026
ER  -