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| 中国城市的网络地位及影响因素研究——基于上市公司500强企业网络视角 | |
| 引用本文： | 盛科荣,杨雨,孙威.中国城市的网络地位及影响因素研究——基于上市公司500强企业网络视角[J].地理科学,2020,40(5):740-750. |
| 作者姓名： | 盛科荣 杨雨 孙威 |
| 作者单位： | 1.山东理工大学经济学院,山东 淄博 255012 2.中国科学院地理科学与资源研究所,北京 100101 3.中国科学院大学资源与环境学院,北京 100049 |
| 基金项目： | 国家自然科学基金项目(41771173);国家自然科学基金项目(41871117) |
| 摘 要： | 利用2016年中国上市公司500强企业网络数据和隶属联系方法构建城市网络,解析了中国城市的网络地位分异格局,并定量测度了城市网络地位的影响因素,在城市网络“行为-结构-绩效”分析框架下解释了地位分异的动力机制。研究发现：正则等价性模型识别的15个正则等价块分化为首位者、经纪人、接收者和孤立者4个地位类型;地位间关系呈现“核心-半边缘-边缘”结构特征,其中首位者地位的正则等价块形成凝聚子群并占据网络权力的核心,经纪人和接收者地位的块位于半边缘位置,孤立者地位的块处于网络权力的边缘;市场潜力、政治资源、知识资本、区位条件和发展基础是中国城市网络地位的关键影响因素;规模偏好、择优选择、地理临近和路径依赖构成了城市网络地位分异的动力机制。城市网络的发展倾向于扩大城市间发展差距,中国城市化政策和城市治理体系需要做出相应调整。 |
| 关 键 词： | 生产分割 城市网络 正则等价 凝聚子群 |
| 收稿时间： | 2019-01-02 |
| 修稿时间： | 2019-03-07 |
Network Position and Underlying Factors of Cities in China: A Study from Corporate Networks of the Largest 500 Public Companies |
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| Sheng Kerong,Yang Yu,Sun Wei.Network Position and Underlying Factors of Cities in China: A Study from Corporate Networks of the Largest 500 Public Companies[J].Scientia Geographica Sinica,2020,40(5):740-750. | |
| Authors: | Sheng Kerong Yang Yu Sun Wei |
| Institution: | 1. Economic School, Shandong University of Technology, Zibo 255012, Shandong, China 2. Institute of Geographic Sciences and Natural Resources Research, Chinese Adademy of Sciences, Beijing 100101, China 3. College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China |
| Abstract: | This article aims to analyze the spatial structure and its determinants of network positions of cities to serve the purposes of developing urban network theory and improving urbanization policy in China in the new era. Data on headquarter and branch locations of the largest 500 listed companies in China in 2016 are subjected to ownership linkage model to approximate the urban network, and regular equivalence block techniques are employed to generalizing about the configuration of position of cities in the system, leading to 15 blocks and 4 positions, i.e. primacy, broker, snob and isolates. Then the influence factors are examined by using 2 broad types of econometric models, i.e. ordinal logit model and multinomial logit model, and the mechanism is explored under the “behavior-structure-performance” conceptual framework of urban network growth. 4 main findings are concluded. First, the 15 blocks identified from applying the regular equivalent criterion can be allocated to 4 positions: 3 blocks occupy what Burt terms the primacy position, 5 blocks occupy the broker position, 3 blocks occupy the snob position, the rest 4 blocks are in the isolation position. Second, the image matrix resulting from the density criterion to the block-model density table reveals that the relationship among the blocks presents a core-peri periphery-periphery characteristics, in which the primacy blocks are located in the core, forming a high densely clique and playing the role of “headquarter cities”, the broker and snob blocks are located in the outskirt, while the isolation blocks are in the periphery, playing the role of “branch plant cities”. Third, market potential, key resources, location conditions and development basis are the key factors affecting the position of China's urban network. The improvement of economic scale, population size, political power, knowledge capital and network facilities will greatly enhance the network position in China, increasing the odds of cities being in the primacy position while decreasing the probability in the snob and isolate position. Fourth, the expansion of urban network space in China is a process of preferential attachment, geographical proximity and path dependence, which will further strengthen the power of cities with traditional advantages such as larger economic scale, rich political resources, etc. Under the environment of network development, China’s urbanization policy and urban governance system need to be adjusted accordingly. The Chinese government must actively respond to the possibly increasing gap between cities under the network environment and promote the cooperation between cities on a larger spatial scale. |
| Keywords: | production fragmentation urban network regular equivalence cohesive subgroup |
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