venture capital reputation

  • 详情 Venture Capital Reputation and IPO Exit: A Two-Sided Matching Model Based on the Chinese Market
    This study investigates how venture capital (VC) reputation affects initial public offering (IPO) exits in the Chinese VC market using a two-sided matching mechanism. Research that distinguishes the sorting and influence effects of VCs in the Chinese market is lacking. To address this gap, Chinese VC transaction data, comprising 3,606 VC firms and 8,173 investment transactions, was used to construct a structural econometric model. The Markov Chain Monte Carlo Bayesian estimation techniques were employed to identify the sorting and influence effects of VC reputation. We demonstrate that the likelihood of IPO exits is considerably increased by VC reputation, whereas historical investment experience has a dampening effect on exit outcomes. The IPO success rates are significantly higher for firms in the biotechnology, electronics, medical, and late-stage industries. The difficulty of IPO exits increases with investment age. Compared to influence effects, sorting effects were the dominant mechanism. VCs with a high reputation systematically selected firms with potential advantages, such as high-quality management teams, to promote IPO success. This study’s novelty lies in its application of an endogenous two-sided matching solution to the Chinese VC market. Using a structural model, we discovered the importance of the reputation sorting effect in the Chinese VC market and refined the VC’s investment preferences in high-tech industries. This study’s practical significance lies in the findings that enterprises must pay attention to the sorting capabilities of VC institutions, the government can guide capital flows to efficient exit industries, and VC institutions should optimize the resource allocation structure.
  • 详情 Does Venture Capital Reputation Contribute to Pre-IPO Performance of Entrepreneurial Firms in the Chinese Context?
    This study investigates venture capital (VC) reputation impact on the pre-IPO performance of the entrepreneurial firms backed by three kinds of VCs. This study employs backward stepwise regression models following prior theoretical frameworks to examine the research question. Based on a database of the top 50 VC firms ranked during 2016 to 2020 and their portfolio firms. This study shows some contingent contribution to pre-IPO firm performance. Firstly, the reputation of the Chinese government-owned VCs is negatively associated with their portfolio firm performance. Still, there is a positive relationship between foreign and local private VCs. Secondly, entrepreneurial firm performance is significantly associated with industry policy and entrepreneur’s performance than VC reputation. This study has practical implications for entrepreneurs and limited partners regarding their corporation relationships with the Chinese VCs.