基于模糊集定性比较分析的跨境电商产业绩效提升模式构建

Construction of Cross-border E-commerce Industry Performance Improvement Mode Based on Fuzzy Set Qualitative Comparative Analysis

跨境电商产业绩效的影响因素具有因果复杂性,在节约资源配置的基础上提高我国跨境电商的发展水平具有重要的现实意义。以我国31个省(区、市)为研究对象,运用三阶段DEA模型测算我国跨境电商产业绩效,采用模糊集定性比较分析方法分析经济环境、贸易环境、电商环境、物流水平、人才环境、技术创新、政策环境和互联网水平等因素对我国跨境电商产业绩效的组合效应。研究发现:高效的跨境电商产业发展需要多个因素联合作用,不同区域跨境电商产业发展的因素组态各异,通过距离导向型、外部促进型、综合驱动型和政策平衡型4条路径可以实现区域跨境电商产业高效发展。依据实证结果,提出了因时因地相结合、充分利用区位优势、灵活调整发展重心、促进产业高质量发展、充分挖掘发展潜力、调整优势资源倾向、推动产业规模化经营、完善配套政策措施等建议。

The factors affecting the performance of cross-border e-commerce industry are causal and complex.It is of great practical significance to improve the development level of cross-border e-commerce in China on the basis of saving resource allocation.This paper took 31 provinces(regions and cities)in China as the research object,used the three-stage DEA model to measure the per-formance of China’s cross-border e-commerce industry,and used the fuzzy set qualitative comparative analysis method to analyze the combined effects of economic environment,trade environment,e-commerce environment,logistics level,talent environment,technological innovation,policy environment and internet level on China’s cross-border e-commerce industry performance.The study found that the efficient development of cross-border e-commerce industry needs the joint action of multiple factors,and the factor configuration of cross-border e-commerce industry development in different regions is different.The efficient development of regional cross-border e-commerce industry can be achieved through four paths:distance-oriented,external promotion,comprehens-ive drive and policy balance.Based on the empirical results,the paper puts forward some suggestions,such as combining time and place,making full use of regional advantages,flexibly adjusting the focus of development,promoting the high-quality development of industry,fully tapping the development potential,adjusting the trend of advantageous resources,promoting the large-scale opera-tion of industry,and improving supporting policies and measures.