【摘要】 区域科学知识发展对于提升自主创新能力具有重要意义。已有研究聚焦区域科学知识多样化的内生动力，而关于外部联系作用的讨论较为稀缺且存在争议。论文将外部联系纳入关联度—复杂度框架，基于CNKI高被引论文数据，系统探究外部联系对区域科学知识多样化的影响及其异质性特征。研究发现：(1)中国城市科学知识产出呈现“大分散、小集聚”空间特征，主要集聚在直辖市和省会城市，而新科学知识进入主要集中在一般地级市，两者存在空间错位。(2)中国城市科学知识基础以“高潜力高质量”和“低潜力低质量”类型为主导；城市论文合著网络呈等级层次结构，具有优先连接和地理邻近的双重特征。(3)外部联系显著促进区域科学知识多样化，其中外部联系份额促进了复杂多样化而阻碍了相关多样化，外部联系地理多样性促进相关多样化但阻碍复杂多样化。(4)外部联系的影响在区域网络位置、知识基础维度上呈现出异质性特征。网络核心区域科学知识多样化发展得益于外部联系地理多样性提升，网络边缘区域则得益于外部联系份额增加；外部联系地理多样性对于“高潜力高质量”区域的正向影响大于外部联系份额，其对于“低潜力低质量”区域的正向影响小于外部联系份额。研究结果可为中国不同地区通过优化外部联系提升科学知识创新能力提供政策启示。更多还原

【Abstract】 The development of new scientific knowledge in a region is imperative for the enhancement of regional independent innovation capacity. While extant studies have focused on the endogenous dynamics of regional scientific knowledge diversification, discussions on the role of external linkages are scarce and controversial. In this study, we incorporated external linkages into the relatedness-complexity framework and systematically investigated the impact of external linkages on the diversification of regional scientific knowledge and its heterogeneous characteristics. Based on the data of highly cited papers from CNKI, key research findings are as follows: 1) The scientific knowledge output of Chinese cities is characterized by the spatial feature of "large dispersion and small agglomeration", with municipalities and provincial capitals producing numerous highly cited papers. The entry of new scientific knowledge occurs more often in ordinary prefecture-level cities, and there is a spatial mismatch between the pattern of scientific knowledge introduction and production in cities. 2) The scientific knowledge base of most Chinese cities is characterized by "high-potential, high-quality" and "low-potential, low-quality" types. Cities with high potential for developing new scientific knowledge also possess scientific knowledge of higher complexity. The backbone network of China’s urban scientific knowledge cooperation is characterized by a hierarchical structure. Only cities with high administrative levels, such as municipalities and provincial capitals, have numerous external knowledge linkages, while the external knowledge linkages of ordinary prefecture-level cities are characterized by preferential linkages or geographic proximity. 3) External linkages contribute significantly to regional scientific knowledge diversification, with the share of external linkages contributing to complexity diversification and hindering relatedness diversification, and the geographic diversity of external linkages contributing to relatedness diversification but hindering complexity diversification. 4) The impact of external linkages is characterized by heterogeneity in terms of network location and knowledge base dimensions. The scientific knowledge diversification in the network core region is positively influenced by an increase in geographic diversity of external linkages, while the network peripheral regions are positively influenced by an increase in the share of external linkages. The positive impact of geographic diversity of external linkages is more pronounced than the share of external linkages in the "highpotential, high-quality" regions, while the positive impact of geographic diversity of external linkages is less significant than the share of external linkages in the "low-potential, low-quality" regions. The findings provide policy implications for enhancing scientific knowledge innovation capacity in different regions of China by optimizing external linkages.更多还原