| Issue |
E3S Web Conf.
Volume 490, 2024
5th International Symposium on Architecture Research Frontiers and Ecological Environment (ARFEE 2023)
|
|
|---|---|---|
| Article Number | 02009 | |
| Number of page(s) | 8 | |
| Section | Building Space Layout and Construction Management | |
| DOI | https://doi.org/10.1051/e3sconf/202449002009 | |
| Published online | 14 February 2024 | |
Spatial and temporal differences and influencing factors of building eco-efficiency in China
1 Henan University of Technology, School of Civil Engineering, Zhengzhou 450000, China
2 Henan University of Technology, School of Civil Engineering, Zhengzhou 450000, China
* Corresponding author: 1217967139@qq.com
This study utilizes the global super-efficiency EBM model to evaluate the eco-efficiency of China's construction industry based on panel data spanning from 2007 to 2021. Furthermore, it examines regional disparities and influential factors using the Dagum Gini coefficient method and panel Tobit model. The findings reveal a sequential decline in efficiency across the eastern, central, and western regions. The overall disparity demonstrates an initial downward fluctuation followed by an upward trend, with the primary contribution shifting from inter-regional variation to hypervariable density. Importantly, the internal discrepancy within the western region surpasses that of other regions. The developmental stage of the construction industry and the composition of energy consumption have a substantial positive impact on its ecological efficiency. In addition, the level of economic development, degree of openness to international markets, and environmental regulations exhibit a positive impact on both the overall construction industry and specifically within the eastern region. Consequently, region-specific measures should be implemented to address disparities in eco-efficiency within the construction industry and promote its high-quality development.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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