Text Analysis of Cross-border E-commerce Policy Based on Co-word Clustering Method: A Case Study of Gansu Province

Abstract

Taking the cross-border e-commerce policy texts introduced in the past five years as the research object, the co-word clustering method is used to divide the policy texts into four categories, and the content is analyzed based on the theory of the ecosystem. The study found that Gansu Province currently has unbalanced cross-border e-commerce policy structures, insufficient specific policies issued by prefecture-level city governments, and weak linkages among government departments in issuing policies. Therefore, the relevant departments need to further improve the cross-border e-commerce policy in response to the above issues, so as to promote the high-quality development of cross-border e-commerce in Gansu Province.