Climate Change Data Portal
| DOI | 10.1016/j.eneco.2024.107463 |
| Green finance, green technology innovation, and wind power development in China: Evidence from spatial quantile model | |
| 发表日期 | 2024 |
| ISSN | 0140-9883 |
| EISSN | 1873-6181 |
| 起始页码 | 132 |
| 卷号 | 132 |
| 英文摘要 | Renewable energy is an inevitable choice to address global climate change and energy shortages. Wind power production has already ranked second in renewable energy production and has enormous development prospects. However, wind power companies generally face funding shortages. How to effectively leverage the positive role of the financial sector in wind power development is a topic worthy of research. Using a novel spatial quantile model, this article investigates the impact of green finance on wind power development and its impact mechanism. The results shows that green finance has a driving effect on the provinces with low- and middle-wind power production, such as Shanghai, Tianjin, Zhejiang, and Shaanxi. However, there is a negative spatial correlation between wind power development in the 10th-25th, and 25th-50th group provinces, such as Qinghai, Sichuan, and Henan. In addition, the impact of wind power prices on the wind power in all provinces is negative, since wind power prices are still on the high side. Green technology innovation and foreign direct investment are two important intermediate mechanisms that green finance affects wind power development. Mechanism analysis displays that foreign direct investment contributes the most to the wind power in the 25th-50th and 50th-75th group provinces, such as Jiangsu, Liaoning, and Guangdong. However, green technology innovation has the smallest contribution to the provinces with high-wind power production, such as Shandong, Shanxi, and Inner Mongolia. Therefore, policy makers should consider the spatial effects and inter- provincial differences in wind power development. |
| 英文关键词 | Green finance; Green technology innovation; Wind power prices; Wind power development; Spatial quantile regression model |
| 语种 | 英语 |
| WOS研究方向 | Business & Economics |
| WOS类目 | Economics |
| WOS记录号 | WOS:001218435200001 |
| 来源期刊 | ENERGY ECONOMICS
 |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/299288 |
| 作者单位 | Xiamen University |
| 推荐引用方式 GB/T 7714 | . Green finance, green technology innovation, and wind power development in China: Evidence from spatial quantile model[J],2024,132. |
| APA | (2024).Green finance, green technology innovation, and wind power development in China: Evidence from spatial quantile model.ENERGY ECONOMICS,132. |
| MLA | "Green finance, green technology innovation, and wind power development in China: Evidence from spatial quantile model".ENERGY ECONOMICS 132(2024). |
| 条目包含的文件 | 条目无相关文件。 | |||||
| 个性服务 |
| 推荐该条目 |
| 保存到收藏夹 |
| 导出为Endnote文件 |
| 谷歌学术 |
| 谷歌学术中相似的文章 |
| 百度学术 |
| 百度学术中相似的文章 |
| 必应学术 |
| 必应学术中相似的文章 |
| 相关权益政策 |
| 暂无数据 |
| 收藏/分享 |
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。
