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| Analysis of the Agglomeration Effect in High-tech Enterprise Patent Cooperation Network of Zhongguancun Science Park |
| Guan Jun,Ren Jiaqi,Xing Lizhi,Xu Jingying |
| (College of Economics and Management, Beijing University of Technology，Beijing 100124,China) |
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Abstract Zhongguancun Science Park is the first independent innovation demonstration area in China, and it has nurtured many high-tech enterprises. Innovation can arise from increasingly complex interactions between local, national, individuals, businesses and other knowledge institutions. With the development of knowledge economy, the simple chain innovation mode is gradually transformed into the complex innovation network mode. Patenting activity is a typical way for profit-seeking entities to reap rewards from their inventions and innovations, and patent cooperation networks have also become a manifestation of innovation networks. Patent cooperation network refers to the relationship formed by different innovative entities through cooperative patent application, as well as the technology diffusion mechanism in the process. Thus this paper systematically describes the cooperative patent application network of high-tech zones represented by Zhongguancun Science Park, and discusses the role of different types of innovative entities in the cooperative network.#br#This study aims to provide a new framework for analyzing the path of technology diffusion in the innovation network at the regional level and industrial level respectively, which is conducive to the integration of innovation resources, the coordinated development of innovative subjects, and the improvement of innovation abilities. It is important to understand quantitatively how high-tech enterprise cooperates with others in patent application over time, for it affects how cooperative mechanism is organized and technology transferred. This paper establishes a regional cooperative patent application network with the help of the cooperative patent application relationship among high-tech enterprises in the Park. The cooperative patent community based on complex network theory can better reflect the cooperation and communication mode of patent applicants, which is beneficial to explore the relationship between enterprises, institutions, academic institutions and scientific research institutes. #br#In this research, the high-tech enterprise patent cooperation network (HEPCN) model from 2008—2017 based on the Zhongguancun Science Park patent cooperation data. The overall characteristics of patents in the Z-park and the distribution characteristics of patents in different parks and technical fields are firstly summarized. Then the Louvain hierarchical clustering community division algorithm and the modularity Q function as the community structure description index are used to identify the community in the patent network data of high-tech enterprises in the Park from 2008 to 2017. The top five community data are used to analyze the overall characteristics and internal characteristics of the network community structure.The influencing factors of cooperative patent application community and the evolution path of the community can be confirmed by clustering analysis on the cooperative patent application situation of enterprises.#br#The following conclusions are concluded by the above analysis. Firstly the cooperative patent application network presents a significant community structure, and the cooperation between communities has been strengthened. Most of the core communities in the network have the characteristics of leader communities, and the degree values of key nodes in the network are quite different from other nodes. Some sub-core communities have self-organization characteristics. Secondly the associations formed by universities and their spin-off enterprises have an advantage in the early stage of the formation of the cooperative patent application network, being larger associations in the network. Thirdly the intra-community cooperation model has gradually changed from the affinity type to the industry-related type. There are cooperative patent application societies based on common technical needs among enterprises, which is conducive to alleviate the negative effects of the affinity type cooperation model and expanding the scope and scale of knowledge exchange and resource sharing. Lastly large-scale state-owned enterprises in the energy industry such as electric power play a radiating and driving role in the community due to extensive technical cooperation and exchanges.#br#Given the complexity and diversity of the relationship between high-tech enterprises in the patent cooperation network, this paper expands the research perspective of enterprise innovation cooperation and technology exchange, examines the technology related issues of enterprises from the perspective of patent cooperation network, and reveals the mutual relationship between high-tech enterprises in patent cooperation relation. Through index measurement and community division, the roles of different types of enterprises in the network are quantified, the internal dynamic mechanism of network development is clarified, the theoretical support system of enterprise innovation and development is enriched, and the analysis method of patent cooperation network is supplemented.#br#
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Received: 15 June 2021
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| [1] 杨博旭,王玉荣,李兴光,等. 从分散到协同:高新技术产业创新要素集聚发展路径[J]. 科技管理研究,2020,40(12):142-149.[2] 刘和东,杨丽萍. 高新技术产业创新产出空间集聚及关联性研究[J]. 科技进步与对策,2020,37(19):51-58.[3] MARTINEZ-CANAS R,RUIZ-PALOMINO P. Concept mapping as a learning tool for the employment relations degree[J]. Journal of International Education Research (JIER),2011,7(5):23-28.[4] SADEGHI M E,SADABADI A A. Evaluating science parks capacity to create competitive advantages:comparison of pardis technology park and sheikh bahaei science and technology park in Iran[J]. International Journal of Innovation and Technology Management,2015,12(6):1550031.[5] ZENG S X,XIE X M,TAM C. Evaluating innovation capabilities for science parks:a system model / mokslo ir technologiju parku inovacinio pajegumoj vertinimas:sistemos modelis[J]. Technological and Economic Development of Economy,2010,16(3):397-413.[6] JONGWANICH J,KOHPAIBOON A,YANG C H. Science park,triple helix,and regional innovative capacity:province-level evidence from China[J]. Journal of the Asia Pacific Economy,2014,19(2):333-352.[7] FREEMAN C. Networks of innovators:a synthesis of research issues[J]. Research Policy,1991,20(5):499-514.[8] 吕国庆,曾刚,顾娜娜. 基于地理邻近与社会邻近的创新网络动态演化分析:以我国装备制造业为例[J]. 中国软科学,2014,29(5):97-106.[9] 李冰,张纪海. 军民科技创新合作网络结构与演化:基于专利合作与社会网络实证分析[J]. 科技进步与对策,2021,38(21):142-151.[10] 李晓佳,张鹏,狄增如,等. 复杂网络中的社团结构[J]. 复杂系统与复杂性科学,2008,5(3):19-42.[11] LIU CJ,ZHU Z Q,WU J L. Detecting communities by revised max-flow method in networks[J]. Communications in Theoretical Physics,2013,60(2):258-262.[12] NEWMAN M E J. Finding community structure in networks using the eigenvectors of matrices[J]. Physical Review E,2006,74(3):036104.[13] NEWMAN M E J. Detecting community structure in networks[J]. The European Physical Journal B-Condensed Matter,2004,38(2):321-330.[14] 潘高峰, 王星华, 彭显刚, 等. 复杂网络的社团发现方法在电网分区识别中的应用研究[J]. 电力系统保护与控制, 2013, 41(13): 116-121.[15] BLONDEL V D, GUILLAUME J L, LAMBIOTTE R, LEFEBVRE E. Fast unfolding of communities in large networks[J]. Journal of Statistical Mechanics Theory & Experiment, 2008 (10): 1-12.[16] 李辉, 陈福才, 张建朋,等. 复杂网络中的社团发现算法综述[J]. 计算机应用研究, 38(6):1611-1618.[17] 褚叶祺, 丁佳骏. 基于Louvain算法的作者合著网络社区划分研究[J]. 高技术通讯, 2021，31(3):257-262.[18] 淡杨超, 王彬, 薛洁,等. 带时间约束的Louvain算法在动态脑功能网络模块化中的应用研究[J]. 计算机工程与科学, 2020(7):1158-1167.[19] 林定, 徐颖, 黄国新,等. 基于Louvain算法的图数据三维树形可视化[J]. 计算机工程与应用, 2018, 54(7):101-106.[20] 任义科, 张立成, 段伟宇. 网络结构、企业特征与产学研合作创新能力演化趋势[J]. 科技进步与对策, 2021, 38(19):1-10.[21] 温芳芳. 合作申请专利模式的计量研究[D]. 武汉: 武汉大学, 2012.[22] 王黎萤, 张迪. 不同模式科技型中小企业合作申请专利网络构建及影响因素研究[J]. 科研管理, 2019, 40(4): 203-212. |
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