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ABSTRACT
In this article, we select 30 public companies as samples which are, respectively, from the up, the middle and the downstream of the Chinese wind power industry chain and extract their financial data as panel analysis. Based on data envelopment analysis (DEA) and DEA-Malmquist model, we analyze the financial support efficiency for the Chinese wind power industry, respectively, from two aspects of capital raise and allocation. The empirical study shows that there is a big fluctuation in terms of financial support efficiency, and the main problem is the lack of the core technology in the Chinese wind power industry.
Funding
The author is grateful for the support provided by Technical and Economic Research Institute of Business School in Hohai University.