- Guanghui Liu¹, Wei Sun², Lei Wu³
- DOI: 10.5281/zenodo.21538214
- GAS Journal of Economics and Business Management (GASJEBM)
Against the dual backdrop of
global digital economic transformation and intensifying competition in
technological innovation, venture capital has emerged as a critical nexus
connecting capital, technology, and industry. Its theoretical paradigms and
practical models are undergoing profound transformation. This paper
systematically reviews the core literature in the venture capital field over
the past five years (2020–2025), aiming to construct an integrated theoretical
review framework. The findings reveal that venture capital theory continues to
deepen across three core dimensions: in investment decision-making, it is
evolving from qualitative judgment based on experience and networks toward
quantitative and intelligent screening incorporating big data and artificial
intelligence; in contractual governance, the focus has shifted from one-sided
risk prevention and supervisory control toward value co-creation through
empowerment, participation, and resource sharing; in exit mechanisms, the path
has developed from an exclusive pursuit of IPOs to a diversified and strategic
portfolio encompassing mergers and acquisitions, secondary sales, and SPACs.
Within the unique Chinese context, venture capital practice exhibits a
distinctive “dual-driven by government and market” characteristic.
Institutional innovations such as government guidance funds and the STAR Market
registration system have profoundly shaped the market ecology and driven a
comprehensive shift in investment themes toward hard tech. This paper not only
summarizes theoretical consensus and evolutionary trends but also identifies
deficiencies in existing research regarding the management of macro-systemic risks,
the quantification of empowerment mechanisms, and the assessment of broader
socio-economic impacts. Future research should seek breakthroughs in
ESG-integrated investment, cross-national ecosystem comparisons, and
data-driven theoretical modeling, so as to provide more robust theoretical
support for the allocation of innovation capital in an uncertain environment.
Keywords: Venture Capital, Intelligent Decision-Making, Contractual Governance, Exit Strategy, Localization Adaptation.
