ABSTRACT

As both economies and trade broadly globalize, cross-border e-commerce (CBEC) as a branch of international trade has shown great potential for development. The construction of a CBEC realizes the integration and utilization of resources between the CBEC trading platform as the core element and other components of the system, cross-border logistics, payment enterprises, suppliers, and demanders, and improves the overall economic benefits. A model of economic progress at the expense of the environment emerges in the radical development of companies that do not consider the environment and simply earn high incomes at the cost of consuming resources. In this context, it is of great theoretical and empirical importance to examine how to improve the production efficiency of the CBEC supply chain, improve ecological quality and realize the production mode of “low input, high output, and low pollution.” In this study, we evaluate the green development of the CBEC industry and study the factors that affect its efficiency level. According to the results of influencing factors, this paper mainly uses the random forest algorithm and panel Tobit approach to investigate the affecting attributes of environmental efficiency and suggest policies to improve the green progression efficiency of the CBEC industry.

摘要

随着经济和贸易全球化的深入发展，跨境电商作为国际贸易的一个分支，展现出巨大的发展潜力。跨境电商的建设，实现了以跨境电商交易平台为核心要素与系统其他组成部分、跨境物流、支付企业、供应方、需求方之间的资源整合和利用，提高了整体经济效益。不考虑环境、单纯以消耗资源为代价赚取高收入的企业的激进发展，出现了一种以牺牲环境为代价的经济进步模式。在此背景下，研究如何提高跨境电商供应链的生产效率具有重要的理论和实证意义。提高生态质量，实现“低投入、高产出、低污染”的生产模式。在本研究中，我们评估了跨境电商行业的绿色发展，并研究了影响其效率水平的因素。根据影响因素分析结果，本文主要采用随机森林算法和面板Tobit方法研究环境效率的影响属性，并提出提高跨境电商行业绿色发展效率的政策建议。