Peer Effect of Technological Innovation Behavior of Enterprises Based on Two-mode ERGM Model : An Example of 5G Communication Technology
Wang Chongfeng1,Kong Wen2
(1.School of Business, Qingdao University, Qingdao 266000, China;2.Institute of Information Engineering, Chinese Academy of Sciences, Beijing 100093, China)
王崇锋,孔雯. 基于二模ERGM模型的企业技术创新行为同群效应研究——以5G通讯技术领域为例[J]. 科技进步与对策, 2023, 40(21): 66-76.
Wang Chongfeng,Kong Wen. Peer Effect of Technological Innovation Behavior of Enterprises Based on Two-mode ERGM Model : An Example of 5G Communication Technology. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2023, 40(21): 66-76.
[1] GREVE H R. A behavioral theory of R&D expenditures and innovations: evidence from shipbuilding[J].Academy of Management Journal, 2003, 46(6): 685-702. [2] JEFFERSON G H, HUAMAO B, XIAOJING G, et al. R&D performance in Chinese industry[J].Economics of Innovation and New Technology, 2006, 15(4-5): 345-366. [3] 吴延兵. 中国哪种所有制类型企业最具创新性[J].世界经济, 2012, 35(6): 3-25,28. [4] 聂辉华, 谭松涛, 王宇锋. 创新、企业规模和市场竞争:基于中国企业层面的面板数据分析[J].世界经济, 2008,31(7): 57-66. [5] GAYLE P G. Market concentration and innovation: new empirical evidence on the Schumpeterian hypothesis[R].Boulden: University of Colorado at Boulder, 2001. [6] 范德成, 杜明月. 高端装备制造业技术创新资源配置效率及影响因素研究——基于两阶段StoNED和Tobit模型的实证分析[J].中国管理科学, 2018, 26(1): 13-24. [7] LI H, ATUAHENE-GIMA K. Product innovation strategy and the performance of new technology ventures in China[J].Academy of Management Journal, 2001, 44(6): 1123-1134. [8] 曾卓然, 韩仁杰, 任跃文. 企业管理效率、政府补贴与技术创新[J].统计与决策, 2021, 37(2): 181-184. [9] 陈红, 纳超洪, 雨田木子, 等. 内部控制与研发补贴绩效研究[J].管理世界, 2018, 34(12): 149-164. [10] ANTONIOLI D, MARZUCCHI A, SAVONA M. Pain shared, pain halved? cooperation as a coping strategy for innovation barriers[J].The Journal of Technology Transfer, 2017, 42(4): 841-864. [11] 肖仁桥, 钱丽, 陈忠卫. 中国高技术产业创新效率及其影响因素研究[J].管理科学, 2012, 25(5): 85-98. [12] KAUSTIA M, RANTALA V. Social learning and corporate peer effects[J].Journal of Financial Economics, 2015, 117(3): 653-669. [13] 彭镇, 连玉君, 戴亦一. 企业创新激励: 来自同群效应的解释[J].科研管理, 2020, 41(4): 45-53. [14] 冯戈坚, 王建琼. 企业创新活动的社会网络同群效应[J].管理学报, 2019, 16(12): 1809-1819. [15] 刘喜和, 沈晶晶, 周妙雯. 非金融企业金融化的同群效应驱动因素研究[J].现代财经:天津财经大学学报, 2020, 40(12): 50-63. [16] 花俊国, 孔儒婧, 孙抗, 等. 企业创新投资同群效应——基于管理者能力视角[J].软科学, 2021, 35(9): 131-138. [17] 方军雄. 企业投资决策趋同:羊群效应抑或"潮涌现象"[J].财经研究, 2012, 38(11): 92-102. [18] WANG P, ROBINS G, PATTISON P, et al. Social selection models for multilevel networks[J].Social Networks, 2016(44): 346-362. [19] 段庆锋, 冯珍. 多维视角下技术距离对企业研发合作关系影响的实证研究[J].科技进步与对策, 2020, 37(14): 110-117. [20] 王海花, 孙芹, 郭建杰, 等. 长三角城市群协同创新网络演化动力研究:基于指数随机图模型[J].科技进步与对策, 2021, 38(14): 45-53. [21] 王栋, 陈通. 知识型员工双重社会网络对企业创新绩效作用机制研究[J].科技进步与对策, 2019, 36(6): 128-137. [22] 朱艳丽, 陆雪艳, 林志帆. 中国企业研发决策同群效应的空间计量分析[J].科技进步与对策, 2021, 38(18): 104-113. [23] ADHIKARI B K, AGRAWAL A. Peer influence on payout policies[J].Journal of Corporate Finance, 2018, 48: 615-637. [24] 刘柏, 王馨竹. 企业创新成果与创新质量的驱动因素研究——基于同群和竞争的视角[J].宏观质量研究, 2021, 9(2): 43-58. [25] WHITTINGTON K B, OWEN-SMITH J, POWELL W W. Networks, propinquity, and innovation in knowledge-intensive industries[J].Administrative Science Quarterly, 2009, 54(1): 90-122. [26] 叶珍, 邓新明. AMC视角下多市场接触对企业研发强度的影响——基于全球医药行业的实证研究[J].研究与发展管理, 2020, 32(4): 97-109. [27] BELENZON S, PATACCONI A. Innovation and firm value: an investigation of the changing role of patents, 1985—2007[J].Research Policy, 2013, 42(8): 1496-1510. [28] 杨武, 杨大飞. 基于专利数据的产业核心技术识别研究——以5G移动通信产业为例[J].情报杂志, 2019, 38(3): 39-45,52. [29] 段庆锋, 马丹丹. 基于指数随机图模型的专利技术扩散机制实证研究[J].科技进步与对策, 2018, 35(22): 23-29. [30] 王崇锋, 崔运周, 尚哲. 多层创新网络结构洞特征对组织创新绩效的影响——来自新能源汽车领域的实证分析[J].科技进步与对策, 2020, 37(24): 71-79. [31] JIANCHENG GUAN, NA LIU. Exploitative and exploratory innovations in knowledge network and collaboration network: a patent analysis in the technological field of nano-energy[J].Research Policy, 2016, 45(1): 97-112. [32] HARRIS J K. 指数随机图模型导论[M].杨冠灿, 译. 上海: 格致出版社, 上海人民出版社, 2016. [33] BUTTON K J. 城市经济学: 理论和政策[M].上海社会科学院部门经济研究所城市经济研究室, 译. 北京: 商务印书馆, 1986. [34] CRANMER S J, LEIFELD P, MCCLURG S D, et al. Navigating the range of statistical tools for inferential network analysis[J].American Journal of Political Science, 2017, 61(1): 237-251. [35] WANG P, ROBINS G, PATTISON P, et al. Exponential random graph models for multilevel networks[J].Social Networks, 2013, 35(1): 96-115. [36] WASSERMAN S, IACOBUCCI D. Statistical modelling of one-mode and two-mode networks: simultaneous analysis of graphs and bipartite graphs[J].British Journal of Mathematical and Statistical Psychology, 1991, 44(1): 13-43. [37] 段庆锋, 冯珍. 基于指数随机图模型的学术社交网络形成机制研究[J].情报科学, 2019, 37(7): 84-89,145. [38] 刘林青, 陈紫若. 中国优势产业组合的动态演化机制研究——基于TERGM的实证分析[J].科技进步与对策, 2020, 37(11): 70-78. [39] FUNK R J. Making the most of where you are: geography, networks, and innovation in organizations[J].Academy of Management Journal, 2014, 57(1):193-222.