Taking the wind power and new energy vehicle industries as examples, this paper comparatively analyzes the penetration process of R&D subsidy policy among the three layers of "government – enterprise - R&D team". In view of the difficulty of traditional models in solving the endogenous problem of decision-making in R&D team, this paper measures the impact of R&D subsidy policy on innovation output under different decision-making status of R&D team by constructing endogenous transformation model, and binary choice and truncated regression model. The results show that R&D funding contributes more to the increase of industrial scale than that to innovation investment preference in both wind power and new energy vehicle industries. Moreover, the positive effect of R&D funding on two aspects (industrial scale and innovation investment preference) in wind power industry is stronger than that is in new energy vehicle industry. R&D subsidy policy has stimulated the enterprises’ investment in both industries, with greater incentive effect on new energy vehicle industry. However, none of these two industries shows obvious increased innovation efforts of R&D teams because of the subsidy policies.
|Titel||44th EUROPEAN INTERNATIONAL BUSINESS ACADEMY CONFERENCE|
|Status||Udgivet - dec. 2018|
|Begivenhed||European International Business Academy Conference: EIBA 2018 - Poznań, Polen|
Varighed: 13 dec. 2018 → 15 dec. 2018
|Konference||European International Business Academy Conference|
|Periode||13/12/2018 → 15/12/2018|