摘要
基于2003-2016年38个经济体之间的工业机器人贸易往来数据,本文利用社会网络分析工具,从网络布局、中心性、联系程度和核心-边缘等方面分析了中国在工业机器人贸易中地位的历史变迁以及结构特征,同时深入剖析了各成员经济体在贸易网络中的地位以及凝聚子群的形成与变动。本文研究发现:一是中国对工业机器人贸易网络的贡献度显著增加,中心性显著提高,2010年以后中国在工业机器人网络中发挥着“桥梁”和“中介”作用,实现了由边缘向核心的过渡;二是网络密度呈现稠密化、聚集化的趋势,各经济体之间的贸易通达性变高且贸易联系更加紧密,中心经济体数目增多;三是工业机器人贸易成员可以分为4大凝聚子群,中国处于最有活力的凝聚子群1。由于地缘政治因素、贸易协定、历史因素以及世界贸易格局不断变化,子群内部结构变动较为明显。
Based on the industrial robot trade exports between 38 countries from 2003 to 2016,we use social network analysis tools to describe and analyze the industrial robot trade network from the aspects of network layout,centrality,connection degree,and core-edge.At the same time,the position of each member country in the trade network and the formation and changes of cohesive subgroups were analyzed in depth.We can obtain some conclusions:first,China’s contribution to the industrial robot trade network has increased significantly,and its centrality has increased significantly.Since 2010,China has played a“bridge”and“intermediary”role in the industrial robot network,achieving a transition from the edge to the core;second,the network density is becoming denser and agglomerated,trade accessibility among economies has become higher and trade links have become closer;third,the members of the industrial robot trade can be divided into four major cohesive subgroups,and China is in the most dynamic cohesive subgroup1.Due to geopolitical factors,trade agreements,historical factors,and the changing world trade pattern,the internal structure of the subgroups has changed significantly.
作者
李敏
邱亚萍
LI Min;QIU Ya-ping(School of Economics and Finance,South China University of Technology)
出处
《当代金融研究》
2020年第4期62-74,共13页
Journal of Contemporary Financial Research
基金
国家社会科学基金一般项目“数字平台经济效率与公平性研究”(19BJL086)。
关键词
工业机器人
社会网络分析
核心边缘模型
凝聚子群分析
Industrial Robot
Social Network Analysis
Core-periphery Model
Cohesive Subgroup Analysis
