21年我国脱贫攻坚取得了全面胜利，有效解决了区域性整体贫困的问题，完成了消除绝对贫困的艰巨任务！在脱贫攻坚的历程中，电商扶贫依托互联网连接城市与农村，有效的带动了农村的经济发展、拉近了城乡差距，在脱贫攻坚过程中发挥了重要作用。为了进一步研究我国各地区的电商扶贫效率，本文选取了2014-2018年31个省级自治区的电商投入指标和贫困产出指标，依据贫困人口和贫困人口发生率指标将31个省级自治区划分为低贫困、中贫困、高贫困三个阶级并各自选取五个地区作为研究对象，运用DEAP2.1软件以产出视角测算分析了各地区5年的电商扶贫效率。结果表明，黑龙江、内蒙古、天津在2014-2018年的电商扶贫效率较为优秀，贵州、陕西、江西的电商扶贫效率较差。本文从综合效率分解的角度分析了15个地区的电商扶贫效率，从松弛变量值和达到DEA有效目标值的角度针对电商扶贫资源的分配做相关分析总结。

关键词：电商扶贫、DEA模型、Malmquist指数

In 2021, China has achieved a comprehensive victory in poverty alleviation, effectively solved the problem of regional overall poverty and completed the arduous task of eliminating absolute poverty! In the process of poverty alleviation, e-commerce poverty alleviation relies on the Internet to connect cities and rural areas, effectively driving rural economic development, narrowing the gap between urban and rural areas, and playing an important role in the process of poverty alleviation. In order to further study the efficiency of e-commerce poverty alleviation in various regions of China, this paper selects the e-commerce input indicators and poverty output indicators of 31 provincial autonomous regions from 2014 to 2018, and divides 31 provincial autonomous regions into three classes of low poverty, medium poverty and high poverty according to the incidence index of poor people and poor people, and selects five regions as research objects, and uses DEAP2.1 software to calculate and analyze the e-commerce poverty alleviation efficiency of each region in 5 years from the output perspective. The results show that Heilongjiang, Inner Mongolia and Tianjin Province have excellent e-commerce poverty alleviation efficiency in 2014-2018, while the efficiency of e-commerce poverty alleviation in Guizhou, Shaanxi and Jiangxi is poor. This paper analyzes the poverty alleviation efficiency of e-commerce in 15 regions from the perspective of comprehensive efficiency decomposition, and summarizes the allocation of e-commerce poverty alleviation resources from the perspective of relaxation variable value and de product effective target value.

Keywords: E-commerce Poverty Alleviation, DEA Model, Malmquist Index