风电产业创新效率的三阶段DEA 测度及其收敛性研究

Research on Three-stage DEA Measurement of Innovation Efficiency of Wind Power Industry and Its Convergence

摘要:

以2010—2015 年我国12 家风电上市企业的面板数据为样本，采用三阶段数据包络分析（data envelopment analysis，DEA）模型，测算我国风电产业创新效率并进行收敛性检验。研究结果表明：我国风电产业创新效率具有 明显的周期性波动特征，整体水平较低，规模效率较低是影响效率水平的主要原因；环境变量中，研发人员素质是 提高效率水平的有利因素，而政府支持和企业规模对创新效率提升均产生显著负向影响；三大效率存在绝对收敛和 条件收敛，收敛程度与创新效率正相关。最后，根据研究结果提出一系列政策建议。

Abstract:

Based on the data of twelve listed wind power companies in China during the period of 2010 － 2015, an empirical analysis on the innovation efficiency and its convergence is conducted by using the three-stage DEA model. The results are as follows: The innovation efficiency of wind power industry with an obvious character of periodical fluctuations reflects an overall low level caused by low scale efficiency; among the environmental variables, the quality of R&D personnel has the positive influence on the efficiency，while government support and enterprise scale have the negative impact on the efficiency; the technical efficiency, pure technical efficiency and scale efficiency all have the characteristics of absolute convergence and conditional convergence, and the convergence degree and innovation efficiency have a positive correlation. Finally，according to the result of empirical study，a series of policy recommendations have been proposed.