Hu Yue, Zhou Han Qian, Yan Bin, Zou Zhou, Li Yu'an
College of Science and Technology, Ningbo University, Cixi, China.
School of International Trade and Economics, Ningbo University of Finance and Economics, Ningbo, China.
Front Psychol. 2022 Apr 26;13:837885. doi: 10.3389/fpsyg.2022.837885. eCollection 2022.
The pattern and scale of commerce worldwide have been greatly transformed by the Fourth Industrial Revolution and technological advancement; digital trade has become the primary form of trade in the digital economy. On the basis of information network infrastructure, information technology level, digital industrialization level, and industrial digitalization level, this study establishes a comprehensive assessment system that applies an entropy-TOPSIS model to evaluate digital trade development level in China. The results indicate that digital trade in China was steadily growing between 2010 and 2019. A principal component analysis is conducted to identify factors affecting the digital trade development level in China. The analysis results suggest that Internet development, population income, industrial structure, payment convenience level, fixed asset investment, online transaction scale, and economic development all have positive effects on the digital trade development level in China, with payment convenience level having the greatest influence. By contrast, state intervention and degree of dependence on foreign trade have a negative effect on digital trade development.
第四次工业革命和技术进步极大地改变了全球商业的模式和规模；数字贸易已成为数字经济中的主要贸易形式。基于信息网络基础设施、信息技术水平、数字产业化水平和产业数字化水平，本研究建立了一个综合评估体系，应用熵权-TOPSIS模型来评估中国数字贸易发展水平。结果表明，2010年至2019年期间中国数字贸易稳步增长。进行主成分分析以确定影响中国数字贸易发展水平的因素。分析结果表明，互联网发展、人口收入、产业结构、支付便利程度、固定资产投资、在线交易规模和经济发展对中国数字贸易发展水平均有积极影响，其中支付便利程度影响最大。相比之下，国家干预和对外贸易依存度对数字贸易发展有负面影响。
