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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10202290/ https://www.ncbi.nlm.nih.gov/pubmed/37216384 http://dx.doi.org/10.1371/journal.pone.0286096 |
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author | Cao, Xiao-Yan Wu, Xiang-Li Wang, Li-Min |
author_facet | Cao, Xiao-Yan Wu, Xiang-Li Wang, Li-Min |
author_sort | Cao, Xiao-Yan |
collection | PubMed |
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. |
format | Online Article Text |
id | pubmed-10202290 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-102022902023-05-23 Innovation network structure, government R&D investment and regional innovation efficiency: Evidence from China Cao, Xiao-Yan Wu, Xiang-Li Wang, Li-Min PLoS One Research Article 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. Public Library of Science 2023-05-22 /pmc/articles/PMC10202290/ /pubmed/37216384 http://dx.doi.org/10.1371/journal.pone.0286096 Text en © 2023 Cao et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Cao, Xiao-Yan Wu, Xiang-Li Wang, Li-Min Innovation network structure, government R&D investment and regional innovation efficiency: Evidence from China |
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 |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10202290/ https://www.ncbi.nlm.nih.gov/pubmed/37216384 http://dx.doi.org/10.1371/journal.pone.0286096 |
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