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社会资本对战略性新兴产业协同创新网络的影响研究
Research on the influence of social capital on the collaborative innovation network of strategic emerging industries
社会资本是战略性新兴产业协同创新网络稳定运行的基础,是产业协同创新绩效提升的关键。本文基于资源基础理论和社会资本理论,以1985—2022年新能源汽车产业合作申请专利数据为样本,运用社会网络分析和指数随机图模型,探讨了社会资本对战略性新兴产业协同创新网络的动态影响。研究发现:(1)联结模式在成长期和成熟期,对协同创新网络合作关系具有显著的正向影响,且影响程度呈现上升趋势。(2)知识基础深度同质性在萌芽期、成长期和成熟期,对协同创新网络合作关系具有持续显著的正向影响。(3)制度环境相似性对协同创新网络关系的积极影响表现出倒“U”型趋势,组织结构相似性的促进作用逐渐降低,合作经验相似性的正向影响显著增强。最后,从加快组建企业主导的创新联合体;优化创新主体知识结构;稳定创新主体合作关系等方面给出相应的管理启示。研究结果拓展了社会资本理论在协同创新网络研究领域中的应用,对促进战略性新兴产业协同创新网络的可持续发展具有一定的实践意义。
Social capital is the foundation for the stable operation of collaborative innovation networks of the strategic emerging industries and the key to improve the performance of industrial collaborative innovation. Based on the resource base theory and social capital theory, this paper took the patent data of the collaborative application of the new energy automobile industry from 1985 to 2022 as a sample, and utilized the social network analysis and exponential random graph model to explore the dynamic impact of social capital on the collaborative innovation network of strategic emerging industries. The research conclusions are as follows: (1) Bonding mode has a significant positive influence on collaborative innovation network cooperative relationship in the growth and maturity period, and the degree of influence tends to increase. (2) Knowledge base depth homogeneity has sustained significant positive influence on collaborative innovation network cooperative relationship in the germination, growth and maturity periods. (3) The positive influence of institutional environment similarity on the collaborative innovation network relationships shows an inverted "U" trend, the facilitating effect of organizational structure similarity gradually diminishes, and the positive influence of cooperation experience similarity significantly increases. Finally, corresponding countermeasure suggestions are given from the three aspects of playing the leading role of innovation of industry leading enterprises, improving the basic research capacity of enterprises, and stabilizing the cooperative relationship of innovation subjects. The results of the study will expand the application of social capital theory in the research field of collaborative innovation network, which has certain practical significance in promoting the sustainable development of collaborative innovation network in strategic emerging industries.
社会资本 / 协同创新网络 / 战略性新兴产业 / 指数随机图模型 / 社会网络分析
social capital / collaborative innovation network / strategic emerging industry / exponential random graph model / social network analysis
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刘晓燕, 李金鹏, 单晓红, 等. 多维邻近性对集成电路产业专利技术交易的影响[J]. 科学学研究, 2020, 38(5):834-842+960.
技术交易是创新成果转化的主要形式，研究多维邻近性对技术交易的影响可以发现目前技术交易关系形成的内在驱动力，为制定成果转化政策提供理论依据。文章以中国集成电路专利转让数据为基础，采用指数随机图模型（ERGM），分析交易主体的多维邻近性、内生结构依赖对技术交易关系形成的影响。结果表明：地理邻近性对技术交易无明显作用；技术和制度邻近性在最近三年才开始对技术交易产生影响；组织邻近性作用所占比重逐渐增加；社会邻近性一直发挥着较为稳定的促进作用。同时，对网络内生结构依赖研究发现：企业倾向与交易活跃的主体建立交易关系；具有直接交易关系的企业也很可能会通过间接联系完成二次交易，而只具有间接联系的企业则很难主动建立直接交易关系。该结论验证了技术交易的影响因素，有助于引导产业创新，提高科技成果转化率。
Technology transaction is the main form of the transformation of innovation achievements. Studying the impact of multidimensional proximity on technology transaction can reveal the internal driving force of the current technology transaction relationship, and provide a theoretical basis for fomulating achievement transformation policy. Based on the Chinese integrated circuit patent transfer data, this paper uses the exponential random graph model (ERGM) to analyze the influence of multidimensional proximity and endogenous structural dependence of transaction entities on the formation of technical transaction relationships.The results show that geographical proximity has no obvious effect on technology transactions; technology and institutional proximity have only begun to affect technology transactions in the last three years; the proportion of organizational proximity has gradually increased; Social proximity has been playing a more stable role in promoting technology transactions. At the same time, research on the endogenous structure dependence of the network finds that enterprises tend to establish links with entities which have active transaction behavior; enterprises with direct transaction relationships will complete secondary transactions through indirect contacts, while enterprises with indirect links will not establish a direct transaction relationship actively.This conclusion verifies the influencing factors of technology transaction, which is helpful to guide industrial innovation and improve the the rate of technology transfer.
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关鹏, 王曰芬, 傅柱, 等. 专利合作网络小世界特性对企业技术创新绩效的影响研究[J]. 图书情报工作, 2021, 65(18):105-116.
[目的/意义]在专利合作网络小世界特性的调节下，分析企业自我中心网络特征对企业技术创新绩效的影响，为企业技术创新管理提供依据。[方法/过程]利用企业之间共同专利权人关系构建专利合作网络，以企业申请并授权的专利数量作为企业技术创新绩效的度量，以企业自我中心网络规模、自我中心网络密度和企业合作对象作为自变量，以专利合作网络小世界特性作为调节变量，构建影响企业技术创新绩效的理论模型，以语音识别技术领域企业作为研究样本进行实证分析。[结果/结论]通过实证分析揭示企业自我中心网络特征对企业技术创新绩效的影响，理清专利合作网络小世界特性影响企业技术创新绩效的机制，结果表明小世界网络通过其高聚类系数增强企业自我中心网络密度对企业创新绩效的影响。针对分析结果，提出提升企业技术创新绩效的对策和建议。
[Purpose/significance] Based on the moderating effect of patent cooperation network's small-world characteristics, the paper analyzes the impact of enterprise ego-network characteristics on innovation and provides a basis for the management of firm's technological innovation.[Method/process] The paper used co-patentee relationship between enterprises to construct patent cooperation networks and measured innovation of enterprise with the number of patents application and authorization. The paper built the theoretical model, with the scale and density of enterprise ego-network, the proportion of cooperation with small companies as independent variables, with the small-world characteristics of patent cooperation network as a moderator variable. We took enterprises in the field of speech recognition technology as research samples for empirical analysis.[Result/conclusion] Through empirical analysis, this paper reveals the impact of the characteristics of ego-network on innovation of enterprises, and clarifies the mechanism of the impact of the small-world characteristics of the patent cooperation network on innovation. The research finds that the small-world characteristics enhance the negative influence of the density of the ego-network on innovative through its high clustering coefficient. Based on the results, the countermeasures and suggestions to improve innovation are put forward.
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唐青青, 谢恩, 梁杰. 知识深度、网络特征与知识创新:基于吸收能力的视角[J]. 科学学与科学技术管理, 2018, 39(1):55-64.
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