中国城市知识合作网络结构及其多维邻近性机制——基于论文合作规模和质量的对比分析  

The structure of knowledge cooperation network in China's cities and its multidimensional proximity mechanism:Comparative analysis based on the scale and quality of paper collaboration

作　　者：孙澍 陈刚 王光辉 SUN Shu;CHEN Gang;WANG Guanghui(Institute of Sustainable Development,Macao University of Science and Technology,Macao 999078,China;School of Financial Mathematics and Statistics,Guangdong University of Finance,Guangzhou 510520,China;Institute of Economic and Social Development,Jiangxi University of Finance and Economics,Nanchang 330013,China;Institute of Geographic Sciences and Natural Resources Research,CAS,Beijing 100101,China)

机构地区：[1]澳门科技大学可持续发展研究所,中国澳门999078 [2]广东金融学院金融数学与统计学院,广州510520 [3]江西财经大学经济与社会发展研究院,南昌330013 [4]中国科学院地理科学与资源研究所,北京100101

出　　处：《地理研究》2024年第6期1443-1461,共19页Geographical Research

基　　金：国家自然科学基金项目(71974182、72374191)。

摘　　要：随着知识经济的发展和创新驱动发展战略的实施,知识合作网络及其多维邻近性机制已经成为政府和学界共同关注的焦点。现有研究大多关注论文合作数量,较少关注论文合作的质量。本文基于“Web of Science”中的论文合作发表数据,从论文合作规模和质量视角,构建2011-2020年中国城市知识合作网络,对其空间网络结构及拓扑演化特征进行分析,采用负二项回归模型探究其多维邻近性机制。研究结果发现:①网络空间格局上,中国城市知识合作网络具有较为稳定的“东密西疏”的空间格局,合作规模与合作质量网络均呈现出由“轴辐扩散”结构向“菱形”空间结构转变的特征,同步呈现出以北京、上海的双核空间结构向多中心空间结构转变的趋势。城市知识合作质量网络结构发育相对缓慢,空间结构的稳定性相对不足。②网络拓扑结构上,中国知识合作网络的规模和密度显著增加,网络极化特征明显,网络节点均表现出明显的首位分布特征。③网络影响机制上,地理距离对合作规模的影响更为显著,呈现先负后正的关系,对合作质量存在负向影响;社会、制度、组织邻近对合作规模和质量均起到显著的促进作用;组织邻近性对合作质量影响更大,高能级城市间的合作更容易获得较高质量的产出。不同类型城市间的知识合作受多维邻近性因素影响具有差异性。With the development of the knowledge economy and the implementation of innovation driven development strategies,knowledge cooperation networks and their multidimensional proximity mechanisms have become a common focus of the government and academia.Most existing research concentrates more on the number of paper collaborations than the quality.Based on the collaborative publication data of papers in“Web of Science”,from the perspective of the scale and quality of paper collaboration,this paper constructs a knowledge cooperation network for Chinese cities from 2011 to 2020,analyzes its spatial and topological structure evolution characteristics,and uses a negative binomial regression model to explore the impact process and reasons of its multidimensional proximity.The research has found that:(1)In terms of network spatial pattern,the knowledge cooperation network of China's cities has a stable spatial pattern of“dense in the east and sparse in the west”.Both the cooperation scale network and cooperation quality network structure show a characteristic of transforming from a“radial diffusion”structure to a“diamond”spatial structure.At the same time,there is a trend of transforming from a dual core spatial structure in Beijing and Shanghai to a multi-center spatial structure.The development of knowledge cooperation quality network structure in China's cities is relatively slow,and the stability of spatial structure is comparatively insufficient.(2)In terms of network topology,the scale and density of China's knowledge cooperation network are significantly increased with obvious the network polarization characteristics.Network nodes all exhibit evident primary distribution characteristics.(3)In terms of network impact mechanism,geographic distance has a more significant impact on the scale of cooperation,showing a negative first and then positive relationship,while its impact on the quality of cooperation is relatively limited;Society,system,and organizational proximity all have a significant promoting

关 键 词：知识合作网络 论文合作规模 论文合作质量 多维邻近性 中国 

分 类 号：G353.1[文化科学—情报学]