PROFILING U.S. METROPOLITAN REGIONS BY THEIR SOCIAL RESEARCH NETWORKS AND REGIONAL ECONOMIC PERFORMANCE
基于专利数据构建知识创造网络，将美国大都市区分为四类，发现发明者密度和团队技术相似性正向影响经济表现，对区域经济研究者有参考价值。
ABSTRACT On the premise that knowledge creation defines contemporary metropolitan regions, we profile them by their inventive networks, as measured by a variety of complementary social network, technology, and patenting metrics that distinguish scalar and structural aspects. Using a comprehensive, multiyear database of patent applications, we investigate whether the knowledge creation network profiles are discriminating characteristics of metropolitan regions by establishing a new urban taxonomy for metropolitan areas in the United States. The four‐class taxonomy is not only statistically significant, but it is also economically meaningful in terms of economic performance of metropolitan areas. We find that metropolitan areas benefit from a higher density of inventors in the population, and that there is a positive correlation between economic performance and metropolitan areas with inventor teams working in similar or complementary areas of technology. In fact, the structure of knowledge creation networks are fundamental to economic performance and extends to metropolitan growth rates in jobs and income.