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Keywords = joint venture capital network

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22 pages, 10505 KiB  
Article
Venture Capital Syndication Network Structure of Public Companies: Robustness and Dynamic Evolution, China
by Xinyuan Luo, Jian Yin, Hongtao Jiang, Danqi Wei, Ruici Xia and Yi Ding
Systems 2023, 11(6), 302; https://doi.org/10.3390/systems11060302 - 13 Jun 2023
Cited by 6 | Viewed by 2970
Abstract
Venture capital plays a vital role in boosting economic growth by providing an inexhaustible impetus for economic innovation and development. We use all the joint venture capital events of Chinese listed companies in the past 10 years to describe the characteristics of the [...] Read more.
Venture capital plays a vital role in boosting economic growth by providing an inexhaustible impetus for economic innovation and development. We use all the joint venture capital events of Chinese listed companies in the past 10 years to describe the characteristics of the joint venture capital network structure, identify the dynamic evolution characteristics of the community, and introduce random attacks and deliberate attacks to explore the resilience of joint venture capital cooperation. The study finds that the joint venture capital network in China has expanded in scale, with an increasing number of participants and a diversified investment industry. However, the connection between members within the network remains relatively loose, indicating fragmentation and a need to improve network quality. The community structure of core members is significant, with evident differences in scale. The network exhibits weak robustness, relying heavily on key enterprises and demonstrating a poor ability to resist external interference. The study proposes countermeasures and suggestions for optimizing the network structure of joint venture capital, aiming to enhance the environment and performance of joint venture capital and promote the high-quality development of China’s joint venture capital market. Full article
(This article belongs to the Special Issue Frontiers in Complex Network Theory and Its Applications)
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16 pages, 2136 KiB  
Article
Unveiling Latent Structure of Venture Capital Syndication Networks
by Weiwei Gu, Ao Yang, Lingyun Lu and Ruiqi Li
Entropy 2022, 24(10), 1506; https://doi.org/10.3390/e24101506 - 21 Oct 2022
Cited by 4 | Viewed by 2862
Abstract
Venture capital (VC) is a form of private equity financing provided by VC institutions to startups with high growth potential due to innovative technology or novel business models but also high risks. To against uncertainties and benefit from mutual complementarity and sharing resources [...] Read more.
Venture capital (VC) is a form of private equity financing provided by VC institutions to startups with high growth potential due to innovative technology or novel business models but also high risks. To against uncertainties and benefit from mutual complementarity and sharing resources and information, making joint-investments with other VC institutions on the same startup are pervasive, which forms an ever-growing complex syndication network. Attaining objective classifications of VC institutions and revealing the latent structure of joint-investment behaviors between them can deepen our understanding of the VC industry and boost the healthy development of the market and economy. In this work, we devise an iterative Loubar method based on the Lorenz curve to make objective classification of VC institutions automatically, which does not require setting arbitrary thresholds and the number of categories. We further reveal distinct investment behaviors across categories, where the top-ranked group enters more industries and investment stages with a better performance. Through network embedding of joint investment relations, we unveil the existence of possible territories of top-ranked VC institutions, and the hidden structure of relations between VC institutions. Full article
(This article belongs to the Special Issue Complex Network Analysis in Econometrics)
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19 pages, 1158 KiB  
Article
The Influence of the Role Positioning of Investment Institutions on the Value of Start-Up Enterprises from the Perspective of Network
by Tong Liu, Shiyou Qu and Christopher M. Scherpereel
Sustainability 2020, 12(2), 491; https://doi.org/10.3390/su12020491 - 8 Jan 2020
Cited by 5 | Viewed by 2684
Abstract
Based on the relevant data of joint investment from 2013 to 2017, this paper constructs a multivariate regression model, introduces the social network analysis method and the Bonacich Power Index to quantify the network attribute indicators of investment institutions, and empirically tests the [...] Read more.
Based on the relevant data of joint investment from 2013 to 2017, this paper constructs a multivariate regression model, introduces the social network analysis method and the Bonacich Power Index to quantify the network attribute indicators of investment institutions, and empirically tests the influence of the role positioning of investment institutions on the value of start-up enterprises from the perspective of network. The research results show that the network centrality (relative centrality, closeness centrality) and the structural hole constraint of the joint venture capital network, as well as the leading and following investment position of investment institutions have a significant impact on the value of start-up enterprises. Additionally, the more central in the joint venture capital network the investment institutions are, the higher value of the start-up enterprises supported by them have; the more structural holes the investment institutions occupy, the higher value of the start-up enterprises supported by them have; the more prominent the leading position of the investment institutions is, the higher value of the start-up enterprises supported by them have. While, there is a negative relationship between the following investment position of investment institutions and the value of start-up enterprises supported by them. Full article
(This article belongs to the Section Economic and Business Aspects of Sustainability)
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