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

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 efficie...

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Main Authors: Xiao-Yan Cao, Xiang-Li Wu, Li-Min Wang
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2023-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0286096
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author Xiao-Yan Cao
Xiang-Li Wu
Li-Min Wang
author_facet Xiao-Yan Cao
Xiang-Li Wu
Li-Min Wang
author_sort Xiao-Yan Cao
collection DOAJ
description 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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spelling doaj.art-fdc9695bd77e42319792bdf5bb7135062023-06-20T05:31:31ZengPublic Library of Science (PLoS)PLoS ONE1932-62032023-01-01185e028609610.1371/journal.pone.0286096Innovation network structure, government R&D investment and regional innovation efficiency: Evidence from China.Xiao-Yan CaoXiang-Li WuLi-Min WangBased 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.https://doi.org/10.1371/journal.pone.0286096
spellingShingle Xiao-Yan Cao
Xiang-Li Wu
Li-Min Wang
Innovation network structure, government R&D investment and regional innovation efficiency: Evidence from China.
PLoS ONE
title Innovation network structure, government R&D investment and regional innovation efficiency: Evidence from China.
title_full Innovation network structure, government R&D investment and regional innovation efficiency: Evidence from China.
title_fullStr Innovation network structure, government R&D investment and regional innovation efficiency: Evidence from China.
title_full_unstemmed Innovation network structure, government R&D investment and regional innovation efficiency: Evidence from China.
title_short Innovation network structure, government R&D investment and regional innovation efficiency: Evidence from China.
title_sort innovation network structure government r d investment and regional innovation efficiency evidence from china
url https://doi.org/10.1371/journal.pone.0286096
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AT xiangliwu innovationnetworkstructuregovernmentrdinvestmentandregionalinnovationefficiencyevidencefromchina
AT liminwang innovationnetworkstructuregovernmentrdinvestmentandregionalinnovationefficiencyevidencefromchina