基于R语言主题模型的光伏产业创新政策层级性特征分析

以光伏太阳能产业为例，运用R语言主题模型，对国家、山西及大同3个层级政府2007—2019年光伏产业创新政策进行主题挖掘和量化分析，研究不同层级产业创新政策间的关联特征。结果表明：国家级政策主要集中于宏观价格管制和财政补贴制度，政策指导性特征明显；山西省级政策集中于中微观扶持性层面，政策指令性特征显现；大同市级政策主要集中于具体的微观运行机制，政策管控属性更加明显。上述政策特征与产业创新政策总体要求一致，但3个层级政策热门主题间还存在相关性不强、政策间互动影响作用不明显等问题，忽视了产业创新政策的传导渗透性特征。

Quantitative Analysis of the Hierarchical Characteristics of Photovoltaic Industry Innovation Policy Based on R language Theme Model

Taking the photovoltaic solar energy industry as an example, using the R language theme model, this paper conducts theme mining and quantitative analysis on the photovoltaic industry innovation policies of the state, Shanxi Province and Datong City in 2007-2019, and studies the correlation characteristics between different levels of industrial innovation policies. The results show that: the national level policies are mainly focused on macro price control and financial subsidy system, and the guiding characteristics of the policies are obvious; the provincial level policies in Shanxi are focused on the micro and medium supporting policies, and the directive characteristics of the policies are obvious; the municipal level policies in Datong are mainly focused on the specific micro operation mechanism, and the control attributes of the policies are more obvious; the above policy characteristics and industrial innovation The overall requirements of the policy are consistent, but there are still some problems among the three levels of policy hot topics, such as the correlation is not strong enough, the interaction between policies is not enough, and the transmission and penetration characteristics of industrial innovation policies are ignored.