Research on Green Finance Promoting the Optimization of Industrial Structure ——An Empirical Analysis Based on Guizhou Province
Hongji Wang, Jianhua Zhu
Available Online October 2018.
- https://doi.org/10.2991/icpel-18.2018.42How to use a DOI?
- green finance, industrial structure, green-credit policy , Grey correlation analysis
- With the rapid development of China's economy and the deepening of sustainable development, the adjustment of China's industrial structure has been put on the agenda. The proposal of green finance not only helps to alleviate a series of environmental problems but also limits the expansion of high energy consumption and high pollution industries and promotes the adjustment of industrial structure. Based on the research on the mechanism of green finance promoting the adjustment of industrial structure, this paper makes an empirical analysis on the relationship between the development of green finance and the third industrial structure in Guizhou Province by using the grey relational analysis method. Under the condition of excluding the influence of the initial value of index sequence, it shows that the ratio of green credit ratio in Guizhou Province to the proportion of tertiary industry in GDP is the largest, followed by the second industry, and the correlation between the first industry is the weakest. Finally, combined with the actual situation of green finance development in Guizhou Province, the corresponding countermeasures and suggestions are put forward to promote the optimization of industrial structure in Guizhou Province.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Hongji Wang AU - Jianhua Zhu PY - 2018/10 DA - 2018/10 TI - Research on Green Finance Promoting the Optimization of Industrial Structure ——An Empirical Analysis Based on Guizhou Province BT - Proceedings of the 2018 3rd International Conference on Politics, Economics and Law (ICPEL 2018) PB - Atlantis Press SP - 180 EP - 183 SN - 2352-5398 UR - https://doi.org/10.2991/icpel-18.2018.42 DO - https://doi.org/10.2991/icpel-18.2018.42 ID - Wang2018/10 ER -