Open AccessText Analysis of Cross-border E-commerce Policy Based on Co-word Clustering Method: A Case Study of Gansu Province
Author(s) -
Yuzhen Wang,
Jiaru Li
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1544/1/012008
Subject(s) - cluster analysis , government (linguistics) , business , quality (philosophy) , word (group theory) , regional science , policy analysis , political science , geography , public administration , computer science , linguistics , artificial intelligence , philosophy , epistemology
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.