清洁能源技术创新是我国实现能源绿色转型的重要支撑，政策干预能够为技术创新提供必要的支持和激励。运用社会网络分析法，构建我国省域间清洁能源企业技术创新空间关联网络，划分技术创新分布的不同板块。进一步，构建指数随机图模型实证检验需求型、环境型和供给型政策对清洁能源企业技术创新网络形成机制的影响。研究发现，我国清洁能源技术创新网络呈现紧密、稳健的趋势，且各地区在网络中占据的地位表现出“强者俞强”的特征。其中，需求型、环境型政策能够显著影响技术创新的发出和接收关系，但供给型政策仅在产业发展初期显著促进技术创新的接收关系。因此，要注重创新板块间的关联关系，协作制定产业创新政策，驱动创新网络一体化。
Clean energy technology innovation is an important support for China to achieve green energy transformation, and policy intervention can provide necessary support and incentives for technological innovation. By applying social network analysis, we construct an interprovincial clean energy enterprise technological innovation spatial correlation network in China, dividing different sectors of technological innovation distribution. Furthermore, we employ the index random graph model to empirically examine the effects of demand-driven, environment-driven, and supply-driven policies on the formation mechanism of clean energy enterprise technological innovation networks. The study finds that the clean energy technology innovation network in China shows a trend of closeness and robustness, with regions demonstrating a " The strong get stronger" characteristic in the network. Demand-driven and environment-driven policies significantly influence the emission and reception relationships of technological innovation, while supply-driven policies only promote the reception relationships of technological innovation significantly in the early stage of industrial development. Therefore, it is essential to focus on the relationship between innovative sectors, collaboratively formulate industrial innovation policies, and drive the integration of innovation networks.

清洁能源,技术创新,产业政策,社会网络分析,指数随机图模型