何种区域创新环境组合能有效提升风电产业创新质量——基于fsQCA的组态分析

区域创新环境对高质量创新的影响已成为当前学术界重点关注的问题之一。以中国内地部分省市数据为研究样本，使用模糊集定性比较分析法研究不同区域创新环境影响风电产业创新质量的必要条件和路径组合。结果表明，区域创新环境中单一条件对风电产业创新质量影响较弱，而不同条件变量组合对风电产业创新质量提升具有较强的解释力。实证分析表明，存在两种影响风电产业创新质量的不同路径，且两种路径的核心条件均为市场发育程度、研发环境和政府支持，经济基础环境相较于产业结构具有更强的辅助作用。最后，结合实证结果，提出促进我国风电产业创新质量提升的建议。

What Kind of Regional Innovation Environment Combination Can Effectively Improve the Innovation Quality of the Wind Power Industry: based on the Configuration Analysis of fsQCA

The influence of the regional innovation environment on high-quality innovation is already one of the key issues of current academic concern. Taking some provinces and cities in China (excluding Hong Kong, Macao, and Taiwan) as the research samples, the fuzzy set qualitative comparative analysis method is used to study the necessary conditions and possible path combinations for the innovation environment of different regions to affect the innovation quality of the wind power industry. The study found that a single condition in the regional innovation environment has a weaker impact on the innovation quality of the wind power industry, while the combination of different condition variables has a strong explanatory power for the wind power industry to improve the innovation quality; empirical analysis shows that there are two different paths that affect the wind power industry Innovation quality; and the core conditions of the two paths are the degree of market development, R&D environment and government support. Compared with the industrial structure, the economic basic environment has a stronger supporting role. Finally, based on the empirical results, corresponding suggestions are made to improve the quality of innovation in my country's wind power industry.