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| 金融网络嵌入对中国城市创业活力的影响研究 | |
| 引用本文： | 刘乐,盛科荣,张杰,王传阳.金融网络嵌入对中国城市创业活力的影响研究[J].地理科学进展,2022,41(12):2244-2257. |
| 作者姓名： | 刘乐 盛科荣 张杰 王传阳 |
| 作者单位： | 1.山东理工大学经济学院，山东 淄博 255000 2.华东师范大学中国行政区划研究中心，上海 200241 |
| 基金项目： | 国家自然科学基金项目(41771173) |
| 摘 要： | 金融网络的发展深刻改变了城市的资源获取能力并进一步影响着城市创业活力，金融网络外部性及其传导机制已成为金融地理学的研究热点。论文基于中国金融企业总部—分支机构数据和链锁网络模型构建中国城市金融网络，以新增企业数量表征城市创业活力，综合运用多元线性回归模型、中介效应模型、分位数回归模型，实证检验了城市在金融网络中的嵌入特征对于城市创业活力的多维度影响。研究发现：① 金融网络嵌入对中国城市创业活力的提升具有积极影响，更高的网络链接规模、可达性和权力地位意味着更高的城市创业水平；② 金融网络充当起沟通不同节点城市的管道，节点城市可通过网络链接提升金融资本可得性和知识生产水平2条路径显著改善城市创业活力；③ 金融网络嵌入对城市创业活力的影响具有多维度异质性特征，一方面，随着城市创业水平的提升，金融网络嵌入对城市创业活力具有先上升后下降的非线性影响；另一方面，相较于东部地区城市，金融网络嵌入更多地影响中、西部地区和东北地区城市的创业绩效。研究成果有助于加深流动空间环境下创业中心发育规律的理解，并为中国城市创业生态系统的优化提供借鉴。 |
| 关 键 词： | 金融网络 城市创业活力 分位数回归模型 网络外部性 知识溢出 中国 |
| 收稿时间： | 2022-04-23 |
| 修稿时间： | 2022-07-09 |
The impact of financial network embedding on entrepreneurial vitality of cities in China |
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| LIU Le,SHENG Kerong,ZHANG Jie,WANG Chuanyang.The impact of financial network embedding on entrepreneurial vitality of cities in China[J].Progress in Geography,2022,41(12):2244-2257. | |
| Authors: | LIU Le SHENG Kerong ZHANG Jie WANG Chuanyang |
| Institution: | 1. School of Economics, Shandong University of Technology, Zibo 255000, Shandong, China 2. Research Center for China Administrative Division, East China Normal University, Shanghai 200241, China |
| Abstract: | The development of financial network has profoundly changed cities' ability to obtain resources and further affected the entrepreneurial vitality of cities. The externalities of financial network and their transmission mechanisms have become a research hotspot in financial geography. This study constructed city financial networks based on the data of the headquarters and branches of 839 financial enterprises in China, established 274 × 274 matrices for 2010, 2015, and 2020, and measured the entrepreneurial vitality of cities by the number of new enterprises. The impact of financial network embedding on entrepreneurial vitality of cities was then quantitatively tested by a combination of multiple linear regression model, intermediary effect model, and quantile regression model. A conceptual framework was tentatively proposed to understand the impact of financial network embedding on entrepreneurial vitality of cities from the perspective of network externality and entrepreneurship theory. Three conclusions are drawn: 1) Financial network embedding has a positive impact on the promotion of the entrepreneurial vitality of cities. Those cities with higher network link scale, link accessibility, and network power are in a dominant position in the network competition, and thus have a higher level of entrepreneurial development. 2) The financial network acts as a conduit to communicate with different node cities, and node cities can significantly improve their entrepreneurial vitality by enhancing the availability of financial capital and knowledge production level through network links. 3) The impact of financial network embedding on entrepreneurial vitality of cities is characterized by multi-dimensional heterogeneity. On the one hand, from the perspective of urban marginal revenue, with the improvement of entrepreneurial development level, financial network embedding has a non-linear impact on entrepreneurship vitality of cities, which first rises and then declines. On the other hand, from the perspective of spatial heterogeneity, financial network embedding has a greater impact on entrepreneurial performance in central and western cities than in eastern cities. The results of this study have clear policy implications. In the future, the government should accelerate the construction of financial enterprise network and fully release the positive impact of financial network externalities on entrepreneurial vitality of cities. At the same time, high attention should be paid to the heterogeneity of urban network externalities to promote the effective improvement of entrepreneurial vitality of different types of cities. |
| Keywords: | financial network entrepreneurial vitality of the city quantile regression model network externality knowledge spillover China |
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