Research on Decoupling and Influencing Factors of Carbon Emissions in the Construction Industry of Coastal Provinces

DOI

10.2991/978-94-6463-447-1_38How to use a DOI?

Keywords

construction industry; economic growth; carbon emissions; decoupling mode

Abstract

On the basis of the panel data of 11 provinces in 2005 ~ 2021, this paper chooses the construction industry of China’s coastal provinces as the research object, studying the decoupling relationship and degree of the construction industry’s economic growth and carbon emissions with Tapio decoupling model. The results show that the relationship between the economic growth and carbon emissions of these areas varies as "weak decoupling-expansive coupling-weak decoupling-strong decoupling”, and the decoupling status of different coastal provinces is obviously different. Based on the analysis above, this paper utilizes the LMDI decomposition method to decompose the decoupling elasticity, concludes that the energy intensity effect is the main factor hindering the decoupling of economic growth and carbon emissions in the construction industry. Then, some suggestions are put forward, such as optimizing the energy consumption structure, improving energy efficiency, and establishing a building carbon emission trading mechanism.

Copyright

© 2024 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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TY  - CONF
AU  - Dan Hu
AU  - Xianghua Wu
PY  - 2024
DA  - 2024/07/14
TI  - Research on Decoupling and Influencing Factors of Carbon Emissions in the Construction Industry of Coastal Provinces
BT  - Proceedings of the 2024 3rd International Conference on Engineering Management and Information Science (EMIS 2024)
PB  - Atlantis Press
SP  - 346
EP  - 359
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-447-1_38
DO  - 10.2991/978-94-6463-447-1_38
ID  - Hu2024
ER  -