财务
数据包络分析
可再生能源
高效能源利用
业务
风险融资
投资(军事)
内部融资
衡平法
经济
产业组织
环境经济学
风险管理
财务风险管理
数学
政治
电气工程
数学优化
工程类
信息不对称
政治学
法学
出处
期刊:Sustainability
[Multidisciplinary Digital Publishing Institute]
日期:2018-01-16
卷期号:10 (1): 222-222
被引量:42
摘要
In recent years, environmental issues are attracting widespread attention by various countries around the world. In this context, the renewable energy industry has become a stimulus point for economic development and has great potential for development. Renewable energy industry financing is difficult due to its characteristics of high risk and long-term investment returns, and relying on existing financing channels make it present a glut of excess capacity. It is key to realize resource optimal allocation, solve overcapacity phenomenon and select the valid financing mode. This paper used Bloomberg New Energy Finance (BNEF) data and the data envelopment analysis (DEA) method to analyze the financing efficiency different parts of the global renewable energy industry and different ways of financing. It could be found that although the financing efficiency showed a trend of increasing year by year, the financing efficiency of each industry presented generally weak DEA efficiency, the comprehensive financing efficiency of wind power industry was higher. The article also found that the financing efficiency of project financing and Research and Development (R&D) were relatively high, and the equity market and venture capital and private equity were less efficient. The results of this paper play an important role in the overall financing status cognizance of the renewable energy industry and give suggestions about valid financing mode choice.
科研通智能强力驱动
Strongly Powered by AbleSci AI