| Issue |
E3S Web Conf.
Volume 185, 2020
2020 International Conference on Energy, Environment and Bioengineering (ICEEB 2020)
|
|
|---|---|---|
| Article Number | 02024 | |
| Number of page(s) | 9 | |
| Section | Energy Saving and Environmental Protection Technology | |
| DOI | https://doi.org/10.1051/e3sconf/202018502024 | |
| Published online | 01 September 2020 | |
Research on China’s Green Finance Policies Based on Text Mining
1 University of Shanghai for Science and Technology, Shanghai, 200092, China
2 University of Shanghai for Science and Technology, Shanghai, 200092, China
* Corresponding author: liaoyuqing@usst.edu.cn
Based on the green finance policies in China from 2017 to 2019, this paper extracts feature and high-frequency words from policy documents, uses word cloud diagram, co-occurrence matrix and social network analysis techniques to quantitatively analyse the information contained in the green finance policies over the past three years and highlights the hot issues in question, thus providing a multi-layered and wideranging pathway for facilitating the orderly development of green finance industries across China.
© 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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