A Panel Analysis of the Impact of Venture Capital on Innovation Performance in Europe

2012 ◽  
Vol 2012 (1) ◽  
pp. 11642
Author(s):  
Liang Guo ◽  
Sebastien Tran ◽  
Lawrence King ◽  
Sujuan Xie
Author(s):  
Yanran Ma ◽  
Jianfeng Cai ◽  
Yiqi Wang ◽  
Umar Farooq Sahibzada

Based on information asymmetry, agency theory and resource-based view (RBV), this study investigates the impact of venture capital (VC) on venture firm innovation performance, ascertains the extent to which VC affects venture firm innovation performance and finds the mediating effect of management incentives. Constructing a sample of a novel panel dataset of firms listed on the SME Board of China, we examined a sample of 927 start-ups between 2008 and 2017, showing a notable negative relationship between VC and Patent, and a positive relationship between VC and total factor productivity (TFP), providing stable evidence that VC could not spur firm patent directly, but facilitate the commercialization of innovation. Moreover, it shows that management equity incentives (MEI) and management cash incentives (MCI) playing significant positive mediating role between VC and TFP, while there is no mediating effect between VC and Patent. Findings of this study strengthen the experience of VC and suggest how practitioners of SMEs to enhance the commercialization of innovation, considerably extends our understanding of the impact of VC on venture firm innovation performance.


2021 ◽  
Vol 12 ◽  
Author(s):  
Bei Han

The research expects to give full play to the role of venture capital in corporate innovation and enhance the development capability of enterprises. Based on Propensity Score Matching (PSM) model, the characteristics of venture capital and startup enterprises are analyzed, and the innovation of venture capital is discussed. Next, the PSM model is used to analyze the innovation of venture capital intervention in enterprises from risk probability intervention, probability evaluation, matching equilibrium validity test, matching results analysis, different venture capital, and different background risks. The results show that the difference of standardized mean is close to 0, which accords with the equilibrium test. The significant impact of venture capital intervention on the Number of Invention Patent Applications (NIPA) and Number of Utility Model Patent Applications (NUMPA) is 0.1 and 0.01, respectively. Venture capital intervention has a significantly positive impact on NIPA and NUMPA but has no significant positive impact on Number of Design Patent Applications (NDPA). The impact of joint venture capital intervention on the NIPA, NUMPA, and NDPA is 0.0874, 0.0635, and 0.1213, respectively. Hence, the intervention of joint venture capital can greatly promote the increase of Number of Patent Applications (NPA), especially, NIPA, and NUMPA. Compared with private venture capital, joint venture capital plays a greater role in promoting the growth of NPA and NIPA. Compared with private venture capital and foreign venture capital, national venture capital has a stronger innovation orientation and a longer investment cycle, which can greatly improve innovation performance, such as NIPA, while private venture capital and foreign venture capital have a less significant impact on enterprise innovation performance. The results demonstrate that the foreign capital sharing assessment based on the PSM model can be a good predictor of the performance of startups. It is hoped that the research results can provide a reference for the development of startups.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Wilert Puriwat ◽  
Danupol Hoonsopon

PurposeThis study is to compare the impact of organizational agility and flexibility on performance of each type of product innovation (radical vs incremental innovation). Additionally, the moderating effect of technological turbulence on the relationship between the two types of organization is examined.Design/methodology/approachBased on gaps in the existing literature, the survey data are collected from managers who are in charge of developing new products in three industries: food and beverage, chemical and machinery (N = 431). Confirmatory factory analysis is used to verify measurement items and regression analysis is used to test hypotheses.FindingsThe results show that organizational agility increases performance in radical innovation both in a certain situation and an environment with technological turbulence. In contrast, the impact of organizational flexibility is limited to increasing performance in both radical and incremental innovation performance in a certain situation.Originality/valueOur study extends the knowledge of organizational agility and flexibility in the domain of product innovation. Adaptation of organization to respond the technological turbulence will stimulate creativity of new product development teams to produce new useful ideas and transform these ideas to product innovation. The different types of organizing a new product development team to handle technological turbulence will provide different results in product innovation performance. In addition, the findings provide a recommendation on how the organization of a new product development team can improve performance in each type of product innovation under technological turbulence.


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