节点文献
基于社会网络分析的RCEP成员国新能源汽车贸易关系研究
Research on New Energy Vehicle Trade Relationship among RCEP Member Countries Based on Social Network Analysis
【摘要】 基于社会网络方法,选取2018—2022年数据,构建RCEP成员国新能源汽车贸易网络并分析其影响因素。研究发现:RCEP成员国新能源汽车贸易网络密度持续攀升;以中国、日本、韩国为轴心,形成了多国积极参与的网状格局;经济发展水平差异、能源贸易结构差异、交通物流水平和环境规制差异均起到正向的推动作用,市场规模差异则与贸易网络的关联强度存在负向关系。根据上述研究结果提出构建RCEP新能源汽车产业协同发展、强化技术互补与绿色转型的建议。
【Abstract】 Based on the social network analysis method, data from 2018 to 2022 were selected to construct the new energy vehicle(NEV) trade network among RCEP member countries, and the influencing factors were analyzed. The results reveal that the NEV trade network density continuously rising. A multi-country participatory network pattern has emerged, centered on China, Japan, and South Korea.Differences in economic development levels, energy trade structures, transportation logistics capabilities, and environmental regulations positively drive trade relationships, whereas disparities in market size exhibit a negative correlation with trade network intensity. Based on these findings, recommendations are proposed to foster collaborative development of the NEV industry within the RCEP framework,emphasizing technological complementarity and green transformation.
【Key words】 RCEP agreement; new energy vehicle trade; social network analysis; QAP regression;
- 【文献出处】 湖北汽车工业学院学报 ,Journal of Hubei University of Automotive Technology , 编辑部邮箱 ,2025年02期
- 【分类号】F744;F416.471
- 【下载频次】49