Issue |
E3S Web Conf.
Volume 185, 2020
2020 International Conference on Energy, Environment and Bioengineering (ICEEB 2020)
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Article Number | 02001 | |
Number of page(s) | 5 | |
Section | Energy Saving and Environmental Protection Technology | |
DOI | https://doi.org/10.1051/e3sconf/202018502001 | |
Published online | 01 September 2020 |
Path Analysis of the Impact of “Green Finance” on Clean Energy in Yunnan Province
1 School of Economics and Management, Yunnan Normal University, Kunming, Yunnan, 650500, China
2 School of Economics and Management, Yunnan Normal University, Kunming, Yunnan, 650500, China
* Corresponding author: panglei719@126.com
During the Two Sessions of 2018, Ruan Chengfa, the governor of Yunnan Province, proposed for the first time in the “Government Work Report” that the future development of Yunnan Province should rely on carrying out the “three green cards” strategic plan, in which the development of clean energy has obvious advantages in Yunnan Province. This paper aims to present the challenges and opportunities encountered in the development of major clean energy projects in our province, and to analyze the main impact of various forms of green capital injection on the clean energy sector by statistical analysis with reference to the index data in the “Statistical Yearbook of Yunnan Province” from the different investment perspectives of policy finance and commercial finance under “Green Finance”. In view of the current situation of clean energy development in our province, this paper puts forward relevant recommendations to provide a reference for government sectors, financial sectors, enterprises and other relevant subjects in Yunnan Province at the initial stage of formulating policy routes, so as to make timely adjustments to the problems in the development process to promote the development of “Green Finance” and “three green cards” strategic plan in Yunnan Province.
© The Authors, published by EDP Sciences, 2020
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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