基于专利大数据的城际协同创新网络与城市创新潜力指标体系

在全球视角下，创新驱动发展策略开始从注重产业关联进入到注重知识领域关联的阶段。科学评估科技潜在比较优势对各地区创新发展潜力的衡量以及地方政府异质化的发展战略制定具有重要的现实意义。本研究从专利引用大数据中挖掘出不同科技领域之间的前后向引用关联，分析知识流动的方向和特点，并对专利领域重新整理分类，依据领域间知识外溢的贡献值形成科技投入产出网络。在此基础上，加入对知识外溢空间系数的回归估计，从而完成对城际协同创新知识外溢网络的分析。最终依据所吸收的知识外溢得出一个城市潜在的专利产出，并形成科技潜在比较优势指标体系。这一指标体系相较于现有的分析范式，更多考虑了城市区位因素和城际协同创新知识外溢网络，可以作为政府科学决策的一个有可操作性的工具。

From a global perspective, innovation-driven development strategies have begun to shift from focusing on industrial relevance to the stage of focusing on knowledge relevance. Scientific evaluation of the potential comparative advantages of technology has important practical significance for the measurement of regional innovation development potential and the formulation of local governments' heterogeneous development strategies. This research studies the forward and backward citation associations between different technological fields from patent citation big data, analyzes the direction and characteristics of knowledge flows, reclassifies patent fields, and shows a technological input-output network based on the contribution value of knowledge spillover between fields. On this basis, the regression estimation of the spatial coefficient of knowledge spillover is added to complete the analysis of the knowledge spillover network of inter-city collaborative innovation. Finally, based on the absorbed knowledge spillover, a city's potential patent output is obtained, and an index system of potential technological comparative advantages is formed. Compared with the existing analysis paradigm, this indicator system takes more into account the city location factor and the inter-city collaborative innovation knowledge spillover network, and can be used as an operational tool for the government's scientific decision-making.