Under the special background of China, the cooperative innovation between different government-industry-university-research institutes plays an increasingly important role in the agricultural field. However, the exist...Under the special background of China, the cooperative innovation between different government-industry-university-research institutes plays an increasingly important role in the agricultural field. However, the existing literature has paid little attention to it. Considering the cooperation patents, published in the agriculture field stemming from the Full-text Database of China Patents as the study object, the spatial and institutional attribute of the authors as the data source, and by combining the social network and spatial econometrics analysis, this paper analyzes the structure evolution characteristics of cooperative innovation networks of agricultural government-industry-university-research institute in the city level of China in 1985–2014, based on the triple helix theory, with the influence factors discussed. This shows that, 1) since 1985, China's agricultural innovation level has been substantially increased, but the development degree of the cooperative innovation network is low, and the patent cooperation mainly relies on authors in the same unit; 2) enterprises play a leading role in the agricultural cooperative innovation. The effect of the government and hybrid organizations driven by the government is not obvious; 3) the cooperative innovation in the province and city dominates, and a multi-pole pattern has been formed. The cooperative innovation network structure evolves from a single helix empty core and double helix multi core to a double helix hierarchical network; 4) the city's science, education funding and personnel investment are key factors determining the agricultural cooperative innovation, while the agricultural development of the city presents slight negative impacts on it. The spatial mismatch of supply and demand is present in the technical cooperative innovation of China's agriculture. Therefore, the science enhancement and education investment to big agricultural provinces should be promptly implemented.展开更多
Purpose: This study aims at identifying potential industry-university-research collaboration(IURC) partners effectively and analyzes the conditions and dynamics in the IURC process based on innovation chain theory....Purpose: This study aims at identifying potential industry-university-research collaboration(IURC) partners effectively and analyzes the conditions and dynamics in the IURC process based on innovation chain theory.Design/methodology/approach: The method utilizes multisource data, combining bibliometric and econometrics analyses to capture the core network of the existing collaboration networks and institution competitiveness in the innovation chain. Furthermore, a new identification method is constructed that takes into account the law of scientific research cooperation and economic factors.Findings: Empirical analysis of the genetic engineering vaccine field shows that through the distribution characteristics of creative technologies from different institutions, the analysis based on the innovation chain can identify the more complementary capacities among organizations.Research limitations: In this study, the overall approach is shaped by the theoretical concept of an innovation chain, a linear innovation model with specific types or stages of innovation activities in each phase of the chain, and may, thus, overlook important feedback mechanisms in the innovation process.Practical implications: Industry-university-research institution collaborations are extremely important in promoting the dissemination of innovative knowledge, enhancing the quality of innovation products, and facilitating the transformation of scientific achievements.Originality/value: Compared to previous studies, this study emulates the real conditions of IURC. Thus, the rule of technological innovation can be better revealed, the potential partners of IURC can be identified more readily, and the conclusion has more value.展开更多
In order to get an acceptable interests-distribution scheme for each partner of enterprise-university-research institute cooperation in advance,based on Nash model,the paper designs the interest distribution method of...In order to get an acceptable interests-distribution scheme for each partner of enterprise-university-research institute cooperation in advance,based on Nash model,the paper designs the interest distribution method of enterprise-university-research institute cooperation and provides the basis for determining the weight of each partner in accordance with the interest distribution principles and subjected relations between major factors in enterprise-university-research institute cooperation.Also,in combination with one example,an applicable method is provided to distribute interest in enterprise-university-research institute cooperation.The study gives some references for interests-distribution of enterprise-university-research institute cooperation.展开更多
It is important to optimize the cooperative innovation network for the improvement of economic competence and innovative power. Based on the patent information services platform, we obtain invention patent data for th...It is important to optimize the cooperative innovation network for the improvement of economic competence and innovative power. Based on the patent information services platform, we obtain invention patent data for the electronic information industry in Liaoning from 1985 to 2015. This paper analyzes the cooperative innovation network structure, its spatiotemporal evolution and the triple helix relationship of government-industry-university(GIU) by using the social network analysis method and the triple helix theory as well as UCINet, ArcGIS and NetDraw. The empirical results show that: 1) the number of the subjects of the electronic information industry GIU cooperative innovation network in Liaoning demonstrates a gradual increase from 1985 to 2015, with the same trend in concentration. In terms of its subject and its centrality, the universities have a higher position, and the industries have a lower position,while the status of the government is still unclear. 2) The cooperative innovation network presents a core-periphery structure, and the polarization effect of innovation subjects tends to be obvious. There is certain distance-decay regularity in the cooperative innovation network, and a strong geographical proximity to cooperative innovation. 3) The compactness shows a downward trend as a whole. In terms of the extent of participation, the industries are better than the government but worse than the universities. This means that the cooperative innovation network of GIU in the electronic information industry in Liaoning is in the initial stage of formation.展开更多
激发创新主体活力,是知识经济时代提升国家创新体系整体效能和建设世界科技强国的重要内容。学术人才流动作为高校间人才竞争的表现形式,能否带来基础研究创新产出的提升以及相应的作用机制尚待明确。基于Web of Science数据库2008—201...激发创新主体活力,是知识经济时代提升国家创新体系整体效能和建设世界科技强国的重要内容。学术人才流动作为高校间人才竞争的表现形式,能否带来基础研究创新产出的提升以及相应的作用机制尚待明确。基于Web of Science数据库2008—2018年中国高校发表的论文数据,使用固定效应模型和工具变量方法从学术人才流动的视角回答如何提升基础研究科研效率这一问题。研究发现,高校人才流动能够促进知识溢出,从而提升高校基础研究产出效率。机制分析表明,高校之间的人才流动通过研究人员合作论文数量的增加以及流入学者与高校之间更好的匹配来实现高校科研效率的提升。异质性分析表明,高校人才流入对基础研究创新产出的影响在社会科学领域以及人才流向东部高校中更为显著。研究结论为现阶段如何提升基础研究产出效率、释放学术人才红利提供参考。展开更多
基金Under the auspices of National Natural Science Foundation of China(No.41471105,41430637,41701197)Program for Innovative Research Team(in Science and Technology)in University of Henan Province(No.16IRTSTHN012)+1 种基金Key Project of the Humanities and Social Sciences Research Base in Ministry of Education(No.15JJDZONGHE008)China Postdoctoral Science Foundation(No.2013M531667,2014T70672)
文摘Under the special background of China, the cooperative innovation between different government-industry-university-research institutes plays an increasingly important role in the agricultural field. However, the existing literature has paid little attention to it. Considering the cooperation patents, published in the agriculture field stemming from the Full-text Database of China Patents as the study object, the spatial and institutional attribute of the authors as the data source, and by combining the social network and spatial econometrics analysis, this paper analyzes the structure evolution characteristics of cooperative innovation networks of agricultural government-industry-university-research institute in the city level of China in 1985–2014, based on the triple helix theory, with the influence factors discussed. This shows that, 1) since 1985, China's agricultural innovation level has been substantially increased, but the development degree of the cooperative innovation network is low, and the patent cooperation mainly relies on authors in the same unit; 2) enterprises play a leading role in the agricultural cooperative innovation. The effect of the government and hybrid organizations driven by the government is not obvious; 3) the cooperative innovation in the province and city dominates, and a multi-pole pattern has been formed. The cooperative innovation network structure evolves from a single helix empty core and double helix multi core to a double helix hierarchical network; 4) the city's science, education funding and personnel investment are key factors determining the agricultural cooperative innovation, while the agricultural development of the city presents slight negative impacts on it. The spatial mismatch of supply and demand is present in the technical cooperative innovation of China's agriculture. Therefore, the science enhancement and education investment to big agricultural provinces should be promptly implemented.
基金funded by National Natural Science Foundation of China (Grant No. 71704170)the China Postdoctoral Science Foundation funded project (Grant No. 2016M590124)the Youth Innovation Promotion Association, CAS (Grant No. 2016159)
文摘Purpose: This study aims at identifying potential industry-university-research collaboration(IURC) partners effectively and analyzes the conditions and dynamics in the IURC process based on innovation chain theory.Design/methodology/approach: The method utilizes multisource data, combining bibliometric and econometrics analyses to capture the core network of the existing collaboration networks and institution competitiveness in the innovation chain. Furthermore, a new identification method is constructed that takes into account the law of scientific research cooperation and economic factors.Findings: Empirical analysis of the genetic engineering vaccine field shows that through the distribution characteristics of creative technologies from different institutions, the analysis based on the innovation chain can identify the more complementary capacities among organizations.Research limitations: In this study, the overall approach is shaped by the theoretical concept of an innovation chain, a linear innovation model with specific types or stages of innovation activities in each phase of the chain, and may, thus, overlook important feedback mechanisms in the innovation process.Practical implications: Industry-university-research institution collaborations are extremely important in promoting the dissemination of innovative knowledge, enhancing the quality of innovation products, and facilitating the transformation of scientific achievements.Originality/value: Compared to previous studies, this study emulates the real conditions of IURC. Thus, the rule of technological innovation can be better revealed, the potential partners of IURC can be identified more readily, and the conclusion has more value.
基金Sponsored by the National Natural Science Foundation of China(Grant No.70473020)the Science and Technology Research Project of Heilongjiang Province(Grant No.GC04D404)the Science and Technology Research Project(Soft Science) of Harbin(Grant No.2006AA9CT189).
文摘In order to get an acceptable interests-distribution scheme for each partner of enterprise-university-research institute cooperation in advance,based on Nash model,the paper designs the interest distribution method of enterprise-university-research institute cooperation and provides the basis for determining the weight of each partner in accordance with the interest distribution principles and subjected relations between major factors in enterprise-university-research institute cooperation.Also,in combination with one example,an applicable method is provided to distribute interest in enterprise-university-research institute cooperation.The study gives some references for interests-distribution of enterprise-university-research institute cooperation.
基金Under the auspices of National Natural Science Foundation of China(No.41601114)Humanities and Social Science Foundation of Ministry of Education(No.16YJC790080)+1 种基金Social Science Fund of Liaoning Province(No.L17CJL001)Education Project of Liaoning Provincial Department(No.JZ201783606)
文摘It is important to optimize the cooperative innovation network for the improvement of economic competence and innovative power. Based on the patent information services platform, we obtain invention patent data for the electronic information industry in Liaoning from 1985 to 2015. This paper analyzes the cooperative innovation network structure, its spatiotemporal evolution and the triple helix relationship of government-industry-university(GIU) by using the social network analysis method and the triple helix theory as well as UCINet, ArcGIS and NetDraw. The empirical results show that: 1) the number of the subjects of the electronic information industry GIU cooperative innovation network in Liaoning demonstrates a gradual increase from 1985 to 2015, with the same trend in concentration. In terms of its subject and its centrality, the universities have a higher position, and the industries have a lower position,while the status of the government is still unclear. 2) The cooperative innovation network presents a core-periphery structure, and the polarization effect of innovation subjects tends to be obvious. There is certain distance-decay regularity in the cooperative innovation network, and a strong geographical proximity to cooperative innovation. 3) The compactness shows a downward trend as a whole. In terms of the extent of participation, the industries are better than the government but worse than the universities. This means that the cooperative innovation network of GIU in the electronic information industry in Liaoning is in the initial stage of formation.
文摘激发创新主体活力,是知识经济时代提升国家创新体系整体效能和建设世界科技强国的重要内容。学术人才流动作为高校间人才竞争的表现形式,能否带来基础研究创新产出的提升以及相应的作用机制尚待明确。基于Web of Science数据库2008—2018年中国高校发表的论文数据,使用固定效应模型和工具变量方法从学术人才流动的视角回答如何提升基础研究科研效率这一问题。研究发现,高校人才流动能够促进知识溢出,从而提升高校基础研究产出效率。机制分析表明,高校之间的人才流动通过研究人员合作论文数量的增加以及流入学者与高校之间更好的匹配来实现高校科研效率的提升。异质性分析表明,高校人才流入对基础研究创新产出的影响在社会科学领域以及人才流向东部高校中更为显著。研究结论为现阶段如何提升基础研究产出效率、释放学术人才红利提供参考。