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区域科技政策正面临着高效实施和积极响应双重挑战,因此产业集群科技政策实施和响应机理受到诸多学者的重视。很少有学者从政策要素及路径选择的视角实证分析集群科技政策关键路径及响应效果。文章结合社会结构矩阵和网络拓扑分析方法构建了路径关键度模型,提出“文本挖掘—要素网络—矩阵绘图—拓扑分析—统计验证”的政策路径研究框架,基于布尔权重筛选出12项关键要素,实证分析了政策要素作用路径及响应效果。研究表明:政策作用可以抽象成为要素传导刺激网络;全要素作用路径关键度相对最高,对企业创新的激励效果最好;创新不同阶段中资金和资源的需求是企业响应政策的基础。政策要素在5%的显著水平上,前期呈现出每增加1%资金投入可提升33.7%-43.8%的创新收入,但其效果逐渐减弱;后期主要靠资源带动企业创新,每增加1%资源投入可提升47%左右的创新收入和成果。最后提出了相应的政策建议。研究结果既能够对政府规划和决策提供启示,也能够为企业响应政策创新提供策略参考。
Regional science and technology policies are faced with the dual challenges of efficient implementation and positive response. Therefore, the implementation and response mechanism of industrial cluster science and technology policies have been valued by many scholars. Few scholars empirically analyze the key paths and response effects of cluster science and technology policies from the perspective of policy elements and path selection. The paper constructs a path criticality model with a combination of social structure matrix and network topology analysis methods, proposes a policy path research framework of text mining-element network-matrix mapping-topology analysis-statistical verification, and filters 12 key points based on Boolean weights. Factors, empirical analysis of the role of policy elements and response effects. The research shows that the role of policy can be abstracted as the element conduction stimulation network; the key factor of the total factor effect path is the highest, and the incentive effect to the enterprise innovation is the best; the demand for capital and resources in different stages of innovation is the basis for the enterprise to respond to the policy. At the 5% significant level of policy elements, the previous period showed that every 1% increase in capital investment can increase the innovation income by 33.7%-43.8%, but its effect gradually weakens; in the later period, rely mainly on resources to drive business innovation, and every 1% increase in resource investment. It can increase about 47% of innovative income and results. Finally put forward the corresponding policy recommendations. The research results can not only provide guidance for government planning and decision-making, but also provide strategic reference for enterprises to respond to policy innovation.