Open Access
| Issue |
SHS Web Conf.
Volume 170, 2023
2023 International Conference on Digital Economy and Management Science (CDEMS 2023)
|
|
|---|---|---|
| Article Number | 02010 | |
| Number of page(s) | 7 | |
| Section | Economic Innovation and Talent Development Technology | |
| DOI | https://doi.org/10.1051/shsconf/202317002010 | |
| Published online | 14 June 2023 | |
- Xinhua News Agency. The Political Bureau of the CPC Central Committee held a meeting to consider the “Outline of the Planning for the Construction of the Twin-City Economic Circle in the Chengdu-Chongqing Region” Xi Jinping, General Secretary of the CPC Central Committee, presided over the meeting[EB/OL]. http://www.gov.cn/xinwen/202010/16/content_5551828.htm, 2020-10-16. [Google Scholar]
- David Pierce. (1996). Blueprint for a green economy. He Xiaojun, Translation. Beijing Normal University Press, Beijing. [Google Scholar]
- Yang, L., Hu, X. Zhen. (2010). Regional differences and convergence analysis of green economy efficiency in China based on DEA. The Economist, (02):46-54. [Google Scholar]
- Zhu Dajian. (2012). The new concept of green economy and the reflection of green economy research in China. China Population-Resources and Environment, 22(5):40–47. [Google Scholar]
- Chen, Golley. (2014). Green Productivity Growth in China’s Industrial Economy. Energy Economics, (44):89-98. [CrossRef] [Google Scholar]
- Guo, B.N., Tang, L., Zhang, H. (2021). Regional differences and stochastic convergence of green economic efficiency in the Yangtze River Economic Zone. Ecological Economics, 37(11):46-53. [Google Scholar]
- Tone K. (2003). Dealing with undesirable outputs in DEA:A slacks-based measure (SBM) approach. Japan: GRIPS Policy Information Center. [Google Scholar]
- Birol F., Keppler J. H. (2000). Prices, technology development and the rebound effect. Energy Policy, 28(6-7):457-469. [CrossRef] [Google Scholar]
- Nie Yuli, Wen Huwei. (2015) An empirical study on the efficiency of green economy in cities above prefecture level in China. China Population-Resources and Environment, 25(S1):409-413. [Google Scholar]
- Wang Xia, Xu Xiaohong. (2016) A study on regional differences and influencing factors of green economic efficiency in China’s Yangtze River Economic Belt. Foreign trade and economics, (08):80-82+104. [Google Scholar]
- Wu Chuanqing, Zhou Xiyi Min. (2020). Study on the evolution of spatio-temporal pattern of green economic efficiency in Yangtze River Economic Belt and its influencing factors. Macro Quality Research, 8(3):120–128. [Google Scholar]
- Wu Zunjie, Wu Nanjie. Research on green economic efficiency measurement, decomposition and influencing factors of Yangtze River Economic Zone - an analysis based on superefficient SBM-ML-Tobit model[J]. Urban Issues, 2021(1):52–62. [Google Scholar]
- Liu Haoran. (2022). Research on green economic efficiency measurement and influencing factors in Beijing-Tianjin-Hebei region-analysis based on super-efficient SBM and Tobit model. Ecological Economy. [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.