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

Author:

Cao Xiao-Yan,Wu Xiang-LiORCID,Wang Li-Min

Abstract

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.

Funder

National Social Science Fund of China

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference55 articles.

1. Research on the temporal and spatial patterns of regional innovation efficiency in China and its influencing factors;Kaixu Zhao;Journal of Northwest University,2019

2. Bank TW. Homepage. Available from: https://data.worldbank.org.cn/.

3. WIPO. Global Innovation Index, GII2021.

4. Innovation efficiency and the impact of the institutional quality: a cross-country analysis using the two-stage meta-frontier dynamic network DEA model;Yongqi Feng;Scientometrics,2021

5. Two-stage efficiency evaluation of scientific and technological innovation activities in central China;Chun Fu;Statistics & Decision,2021

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