| Issue |
SHS Web Conf.
Volume 170, 2023
2023 International Conference on Digital Economy and Management Science (CDEMS 2023)
|
|
|---|---|---|
| Article Number | 02015 | |
| Number of page(s) | 5 | |
| Section | Economic Innovation and Talent Development Technology | |
| DOI | https://doi.org/10.1051/shsconf/202317002015 | |
| Published online | 14 June 2023 | |
A Study on the Measurement of Provincial Carbon Emission Efficiency and Influencing Factors in China
College of Economics and Management, Jiangsu University of Science and Technology, Zhenjiang 212100
* Corresponding author: uniquelpy@163.com
Carbon emission efficiency (CEE) was measured by using Epsilon-based Measure (EBM) based on 30 provinces of China by panel data from 2005 to 2019. After that, the spatial stratified heterogeneity (SSH) of CEE was explored by Geodetector and ArcGIS. The results show that :(1) China's eastern provinces perform better in terms of carbon emission efficiency compared with inland provinces, and their carbon emission efficiency values are generally higher. Overall, the average CEE level in China from 2005 to 2019 shows a decreasing trend year by year, with a decrease of 8.33%; (2) the investigation of the influencing factors finds that the influence of energy structure, economic development, foreign trade, and science and technology on the spatial heterogeneity of CEE is most prominent; (3) the influence of single factor on CEE is significantly lower than that of two-factor interaction. And the two-factor interaction shows linear enhancement or non-linear enhancement.
© The Authors, published by EDP Sciences, 2023
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