Differentiated Improvement Path of Carbon Emission Efficiency of China’s Provincial Construction Industry: A Fuzzy-Set Qualitative Comparative Analysis Approach
Author(s): |
Hua Liu
Chengjian Yang Zhaorong Chen |
---|---|
Medium: | journal article |
Language(s): | English |
Published in: | Buildings, 14 February 2023, n. 2, v. 13 |
Page(s): | 543 |
DOI: | 10.3390/buildings13020543 |
Abstract: |
Promoting carbon reduction in the construction sector is crucial to achieving China’s ‘double carbon’ target. However, due to the interaction of multiple factors, the carbon emission efficiency of Chinese construction industry (CEECI) varies from province to province, and the path to efficient CEECI is not uniform. This study aims to analyze the combined effects of multiple factors on CEECI and to explore the underlying logic behind the formation of efficient CEECI in the province, which measures the CEECI for 2018 and 2019 for 30 provinces, autonomous regions, and municipalities directly under the Central Government of China using the super-slack-based measure (Super-SBM), which includes non-desired outputs. From a group perspective, the qualitative comparative analysis method is applied to analyze the common mechanism of the regional economic development level, energy consumption structure, business management level, market openness, science, and technology innovation level on CEECI. The results show that the regional construction industry has three equivalent low-carbon development paths: “low energy management”, “scale management”, and “scale market opening”. Finally, according to the differences in regional resource endowments, differentiated paths suitable for the low-carbon development of the construction industry in different regions are proposed. |
Copyright: | © 2023 by the authors; licensee MDPI, Basel, Switzerland. |
License: | This creative work has been published under the Creative Commons Attribution 4.0 International (CC-BY 4.0) license which allows copying, and redistribution as well as adaptation of the original work provided appropriate credit is given to the original author and the conditions of the license are met. |
0.73 MB
- About this
data sheet - Reference-ID
10712203 - Published on:
21/03/2023 - Last updated on:
10/05/2023