热带地理

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风险投资网络与绿色技术创新网络的时空耦合及其影响因素

孙茜1(), 黄丽1,2()   

  1. 1.华东师范大学,城市与区域科学学院,上海 200062
    2.华东师范大学,全球创新与发展研究院,上海 200062
  • 收稿日期:2021-07-16 修回日期:2021-09-30 出版日期:2022-05-19
  • 通讯作者: 黄丽 E-mail:51193902033@stu.ecnu.edu.cn;sq19691001@126.com
  • 作者简介:孙茜(1995—),女,山西临汾人,硕士,主要研究方向为城市经济与区域创新,(E-mail)51193902033@stu.ecnu.edu.cn
  • 基金资助:
    上海科委科技项目(13902-412213-20098)

Spatial-Temporal Coupling of Venture Capital and Green Technology Innovation Networks and Its Influencing Factors: A Case Study of the Yangtze River Delta Urban Agglomeration

Qian Sun1(), Li Huang1,2()   

  1. 1.School of Urban and Regional Sciences, East China Normal University, Shanghai 200062, China
    2.Global Institute for Innovation and Development, East China Normal University, Shanghai 200062, China
  • Received:2021-07-16 Revised:2021-09-30 Online:2022-05-19
  • Contact: Li Huang E-mail:51193902033@stu.ecnu.edu.cn;sq19691001@126.com

摘要:

利用2005—2018年长三角城市群27个城市风险投资事件和联合专利申请数据,构建风险投资网络和绿色技术创新网络,采用二次指派程序方法探究地理、经济、制度和社会邻近性对风险投资网络和绿色技术创新网络耦合协调发展的影响。结果表明:研究期内,风险投资网络与绿色技术创新网络耦合协调水平不断上升,高协调水平区域在空间上呈“Z”型格局,整体协调水平从内陆城市向沿海城市逐渐提高;4项邻近性指标对2个网络耦合协调发展的影响存在差异:经济邻近性、风险投资网络的社会邻近性和制度邻近性对2个网络耦合协调发展有显著促进作用,绿色技术创新网络的社会邻近性和制度邻近性对2个网络耦合协调发展影响不显著。

关键词: 风险投资, 绿色技术创新, 邻近性, QAP回归, 耦合协调度, 长三角城市群

Abstract:

With the accelerated pace of green technology innovation, green environmental protection has gradually become a new direction for venture capital institutions to invest. The Chinese government has issued many policies to guide venture capital and other social funds in providing financial support for green technology innovation. However, it has ignored the requirement of coordinated development between green technology innovation and venture capital. Most studies focus on the one-way relationship between venture capital and green technology innovation, but there are few studies on the interaction between the venture capital network and green technology innovation network. This study takes 27 cities in the Yangtze River Delta city cluster as an example, using the data of venture capital events and joint patent applications of green technology from 2005 to 2018 to construct a venture capital network and a green technology innovation network. It then extracts the network characteristic attributes of the node cities in the two networks to characterize the development level of the two networks in the node cities, constructs a coupling coordination degree model, and analyzes and evaluates the coupling coordination level of each network. The results show the following: (1) the development of the venture capital and green technology innovation networks tends to be gradually coordinated during the study period, and the green technology innovation network in cities with a high level of coordination has a significant influence on the development of the two networks. In cities with a high level of coordination, the contribution of the green technology innovation network to the coupled and coordinated development of the two networks lags behind that of the venture capital network at the beginning, gradually catching up and widening the gap. At the spatial scale, the level of coordinated development of both networks in the Yangtze River Delta city cluster gradually develops from a ">" pattern at the beginning to a clear "Z" pattern and shows a spatial pattern of gradual spread to inland cities. (2) There are differences in the influence of four proximity indicators on the coupled and coordinated development of the venture capital and green technology innovation networks: the economic proximity among node cities can significantly promote the coupled and coordinated development of both networks; the institutional and social proximity of node cities in the venture capital network can also play a certain driving role. However, this driving role is not obvious in the green technology innovation network, and even hinders the coupled and coordinated development of both networks. The geographical proximity of node cities has no significant effect on the coupled and coordinated development of the two networks, but there is a certain negative effect. This study presents a way of approaching the controversy of the different effects of multidimensional proximity on the coupled and coordinated development of the venture capital and green technology innovation networks and enriches research on the coupled and coordinated development of both networks. It also provides theoretical references for the coordinated development of urban venture capital and green technology innovation.

Key words: venture capital, green technical innovation, proximity, QAP regression analysis, coupling and coordination, Yangtze River Delta urban agglomerations