Innovation network structure, government R&D investment and regional innovation efficiency: Evidence from China

被引:1
|
作者
Cao, Xiao-Yan [1 ,2 ]
Wu, Xiang-Li [1 ,2 ]
Wang, Li-Min [1 ,2 ]
机构
[1] Harbin Normal Univ, Coll Geog Sci, Harbin, Peoples R China
[2] Harbin Normal Univ, Key Lab Remote Sensing Monitoring Geog Environm He, Harbin, Peoples R China
来源
PLOS ONE | 2023年 / 18卷 / 05期
关键词
DATA ENVELOPMENT ANALYSIS; KNOWLEDGE; SUBSIDIES;
D O I
10.1371/journal.pone.0286096
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Based on the panel data of 30 provinces in China from 2011 to 2019, this paper uses a two-stage DEA model to measure regional innovation efficiency, then non-parametric test is used to examine the impact of innovation network structure and government R&D investment on regional innovation efficiency. The results show that, at the provincial level, innovation efficiency of regional R&D is not necessarily in direct proportion to the innovation efficiency in the commercialization stage. Commercialization efficiency is not necessarily high in provinces with high technical R&D efficiency. At the national level, the innovation efficiency gap between our country's R&D and commercialization stage is small, indicating that the development of the national innovation efficiency is more and more balanced. Innovation network structure can promote the R&D efficiency, but has no significant effect on the commercialization efficiency. Government R&D investment helps to improve the R&D efficiency, but it is not conducive to the improvement of commercialization efficiency. The interaction between innovation network structure and government R&D investment will have compound effects on regional innovation efficiency; the region with underdeveloped innovation network structure can increase the government R&D investment to make it have a higher level of R&D. This paper provides insights into how to improve innovation efficiency in different social networks and policy environments.
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页数:20
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