Journal of Chaohu University ›› 2020, Vol. 22 ›› Issue (1): 54-61.doi: 10.12152/j.issn.1672-2868.2020.01.008
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Based on the fundamental data of R&D input and output in China's 30 provinces and autonomous regions (excluding Tibet) since 2009, the super efficient DEA model is used to measure the efficiency of government R&D funding in various regions. The results show that there are significant inter-provincial differences in efficiency of Chinese government R&D funding for reasons of funding scale and management. Then, in order to further reveal the deep-seated reasons for this difference, the Tobit model is used to measure the efficiency of government R&D funding. Empirical analysis of the reasons at the enterprise level shows that the government R&D funding rate, the stability of the R&D funding policy, the government R&D funding allocation structure, the R&D personnel qualification structure and the R&D investment intensity all have significant effects on the government R&D funding efficiency. Finally, on this basis, the corresponding policy recommendations are proposed for the improvement of the efficiency of Chinese government R&D funding.#br#
