城市知识复杂性空间分异与演化分析:以长江经济带为例

The Geography and Evolution of Complex Knowledge:Take the Yangtze River Economic Belt as an Example

学者和政策制定者一致认为知识、技术是推动经济长期增长的关键因素之一。从现有文献中可以看出,并非所有知识都具有相同价值。然而,在经济地理学等相关领域研究中,学者们一直关注知识投入和产出的计量分析,却忽视了知识质量评估。利用国家知识产权局1985-2015年专利数据,测度了长江经济带110个城市的知识复杂性,并对知识复杂性的空间分布和演化过程进行可视化表达,探索知识空间分布与其复杂性的关联。研究发现,知识复杂性在长江经济带的分布是不均匀的,具有最复杂技术结构的城市不一定是专利申请最多的城市。联合发明专利数据分析结果显示,当创新合作主体位于不同城市时,复杂专利比非复杂专利更难实现知识流动。

There is consensus among scholars and policy makers that knowledge is one of the key drivers of long-run economic growth.It is also clear from the literature that not all knowledge has the same value.However,too often in economic geography we have been obsessed with counting knowledge inputs and outputs rather than assessing the quality of knowledge produced.In this article we measure the complexity of knowledge,we map the distribution and the evolution of knowledge complexity in the Yangtze River economic belt,and based on patent records from the State Intellectual Property Office to explore how the spatial diffusion of knowledge is linked to complexity.It finds out that knowledge complexity is unevenly distributed and that cities with the most complex technological structures are not necessarily those with the highest rates of patenting.The joint invention patents indicate that more complex patents are less mobility than less complex patents when joint inventors are located in different cities.