基于fsQCA组态视角的我国电子商务运营效率及提升路径分析

Analysis of China’s E-Commerce Operational Efficiency and Its Improvement Path Based on fsQCA Configuration Perspective

摘要: 分析我国电子商务运营效率的影响因素，探究提升我国电子商务运营效率的组合效应及互动关系。本文运用数据包络分析(DEA)测度我国2022年31个省份电子商务运营效率，运用模糊集定性比较分析(fsQCA)从组态视角分析电子商务运营高效率和非高效率的具体路径。我国2022年31个省份电子商务运营综合效率均值为0.425，共有5个省份达到DEA有效。实现电子商务运营高效率有2条路径，总体一致性为0.976，总体覆盖度为0.618。影响我国电子商务运营效率存在多重复杂因素，其中经济发展水平和人力资源禀赋为关键因素，多重条件协同作用提升我国电子商务运营效率，为辐射带动电子商务产业发展，加强供应链、产业链数字化提供参考。

Abstract: This paper aims to analyse the allocation efficiency of Chinese medical resources in China and explore the path to improve the allocation efficiency of Chinese medical resources in China. Data Envelopment Analysis (DEA) is used to measure the efficiency of e-commerce operation in 31 provinces in China in 2022, and Fuzzy Set Qualitative Comparative Analysis (fsQCA) is used to analyse the specific paths of e-commerce operation with high efficiency and inefficiency from the group perspective. The average value of comprehensive efficiency of e-commerce operation in 31 provinces in China in 2022 is 0.425, and a total of 5 provinces achieve DEA effectiveness. There are 2 paths to achieve high efficiency of e-commerce operations, with an overall consistency of 0.976 and an overall coverage of 0.618. Multiple complex factors affect the operational efficiency of e-commerce in China, among which the level of economic development and human resource endowment are the key ones. The synergistic effect of these multiple conditions enhances the operational efficiency of e-commerce in China, providing a reference for radiating and driving the development of the e-commerce industry and strengthening the digitization of supply chains and industrial chains.