The evolution of the global textile trade network and its influencing factors from 2006 to 2021 are studied by using the exponential random graph model.The study found that the overall trade network showed a steady upward trend,and the connectivity and interaction were enhanced.China and India dominate exports,while United States and European countries are stable in imports.Trade relationships are more easily formed between countries with lower economic levels and those with moderate population sizes,while trade ties are closer among countries with higher levels of innovation.Geographical adjacency,common language,high degree of religious similarity and the signing of free trade agreements have a significant role in promoting the formation of trade networks,and the impact of geographical adjacency is particularly prominent.These findings provide a new perspective for understanding the evolution mechanism of the global textile trade network,and provide an important reference for formulating trade policies and optimizing the trade structure.
关键词
纺织品贸易/复杂网络/指数随机图模型/国际贸易/贸易网络演化
Key words
textile trade/complex networks/exponential random graph model/international trade/evolution of trade networks
维普
万方数据