Open Access
| Issue |
E3S Web Conf.
Volume 358, 2022
5th International Conference on Green Energy and Sustainable Development (GESD 2022)
|
|
|---|---|---|
| Article Number | 01019 | |
| Number of page(s) | 5 | |
| Section | Invited Contributions | |
| DOI | https://doi.org/10.1051/e3sconf/202235801019 | |
| Published online | 27 October 2022 | |
- Xu Jieyan, Lu Yue, Qu Hong, et al. Analysis of my country’s power grid companies’ power sales service competitiveness under the background of new power reform[J]. Power Demand Side Management, 2020, 22(4): 89–93. [Google Scholar]
- Xiao Xianyong, Ma Yuanqian, Mo Wenxiong, et al. High-quality power value-added service mode of power grid companies under the background of power sales side liberalization[J]. Journal of Electric Power Science and Technology, 2016, 31(04): 4–10. [Google Scholar]
- Zhu Liming. Evaluation system and training path for low-carbon competitiveness of large power generation companies[D]. Wuhan: China University of Geosciences, 2013. [Google Scholar]
- Huang Shan, Wu Xiaojie, Zong Qijun. The source of China’s manufacturing low-carbon competitiveness and ways to improve[J]. East China Economic Management, 2013(27). [Google Scholar]
- Jiang Yuguo, Fan Lili. Research on the Evaluation of Low-carbon Competitiveness of Enterprises from the Perspective of Carbon Intangible Assets[J]. Business Economic Management, 2014(09). [Google Scholar]
- Jiang Yuguo, Chun Weide. Application of a dynamic evaluation method in the evaluation of low-carbon competitiveness of steel enterprises[J]. Operations Research and Management, 2018, 27(12): 165–171. [Google Scholar]
- Li Jian, Piao Shengren, Wang Zheng. Evaluation and spatial difference analysis of inter-provincial low- carbon competitiveness based on DPSIR-ENTRORY-TOPSIS model[J]. Arid Land Resources and Environment, 2016, 30(12): 40–46. [Google Scholar]
- Cao Qingren, Zhou Siyu. Analysis of the Impact of China’s Carbon Emission Reduction Policy on Regional Low-Carbon Competitiveness Based on the Analysis of Provincial Panel Data[J]. Ecological Economy, 2020, 36(11): 13–17. [Google Scholar]
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