摘要
通过构建2012~2017年的董事网络纵向数据集,本研究基于随机行动者模型探索了董事网络的演化规律,进而揭示了影响董事网络演化的驱动因素。具体地,本研究将影响董事网络演化因素分为网络结构因素和行动者属性因素两个层次,利用社会网络网络分析工具Rsiena对影响因素进行参数估计,量化各因素的影响程度。结果显示,在网络结构方面,三元闭包效应对企业间关联关系的形成有显著影响。在行动者属性方面,资产规模是企业选择关联伙伴时考虑的重要因素;同时,地理邻近和行业同配对企业间关联关系的形成也有重要影响。本研究的结论不仅为企业董事网络的构建与优化提供了借鉴和指导,对监管机构的监管也有一定的启示作用。
Based on the longitudinal data of director network from 2012 to 2017,this study applied the stochastic actor-oriented model to explore the evolution of director network and revealed the driving factors that influence the evolution of director network.Specifically,this study divided the factors affecting the evolution of director network into two categories:network structures and actors'attributes,and then utilized the social network analysis tool RSiena to estimate the parameters of the factors and quantify the influencing degree of each factor.The results showed that in terms of network structure,the triadic closure structure had a significant impact on the formation of inter-firm linkage.As for the attributes of actors,enterprise size is an important factor in the selection of affiliated partners.Geographical proximity and industry proximity also have an important impact on the formation of inter-firm affiliation.The conclusion of this study not only provides reference and guidance for the construction and optimization of director network among firms,but also enlightens the supervision of regulators.
作者
韩彧
HAN Yu(Sino-Danish College,University of Chinese Academy of Sciences,Beijing 100190)
出处
《科技促进发展》
2024年第2期148-157,共10页
Science & Technology for Development
作者简介
韩彧,在读硕士研究生,研究方向:社会网络,数据挖掘与机器学习。
