2022
DOI: 10.1016/j.energy.2021.122704
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Does venture capital stimulate the innovation of China's new energy enterprises?

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Cited by 22 publications
(5 citation statements)
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“…For China’s resource enterprises, the long investment return period and high uncertainty of green innovation mean that those enterprises need continuous and considerable amounts of investment [ 53 , 94 ]. Therefore, it is difficult to rely on the resource enterprise’s own funds for green innovation, implying that external resources are in demand for alleviating the financing constraints of green innovation activities.…”
Section: Resultsmentioning
confidence: 99%
“…For China’s resource enterprises, the long investment return period and high uncertainty of green innovation mean that those enterprises need continuous and considerable amounts of investment [ 53 , 94 ]. Therefore, it is difficult to rely on the resource enterprise’s own funds for green innovation, implying that external resources are in demand for alleviating the financing constraints of green innovation activities.…”
Section: Resultsmentioning
confidence: 99%
“…When the dependent variable is green utility model patents, the coefficient of local VC is 0.185, and passes the 5% significance level, and the coefficient of non-local VC is 0.108, but it is not significant, indicating that compared with non-local investment, the local investment of VC is more conducive to green technological innovation of NEV enterprises, which is inconsistent with the Hypothesis 4c. By applying PSM model and Poisson model to investigate the relationship between VC and new energy enterprises innovation, Jiang and Liu 45 also confirm find that VC choosing local investment can rely on the advantages of geographical distance and information accessibility to stimulate innovation in new energy enterprises. The possible reason for our conclusion maybe that on one hand, VC choosing local investment can avoid information asymmetry caused by geographical distance, on the other hand, it may convenient their management and supervision over NEV enterprises to conduct innovation activities.…”
Section: Empirical Analysismentioning
confidence: 86%
“…12 the capital cost advantage of VRFB over LIBs, only when we assumed the VRFB's capital cost of energy (350 $/kWh) on the lower end of the literature data; 351 2) more sophisticated cost analysis methods (such as Levelized Cost of Energy and Net Present Value) yield more favorable outcomes for VRFBs, due to the longer cycle life of this technology. [353][354][355][356][357] Nevertheless, the general problems of high risk and low profit margin in the clean energy business [358][359][360][361][362][363][364] have a negative effect on VRFB development and adoption.…”
Section: Vanadium Rfbs-the Technology Frontrunnersmentioning
confidence: 99%