Abstract: In 2021, overall victory had been achieved in poverty alleviation of China; the gigantic task of eliminating extreme poverty had been accomplished. Nonetheless, the efficiency of financial poverty alleviation has significant difference among different regions and also has room for improvement. Therefore, it is of great significance to measure the multidimensional poverty alleviation efficiency of rural finance in various regions of our country, analyze the factors affecting the efficiency of financial poverty alleviation ,and to consolidate achievement on the antipoverty battle. Taking financial poverty alleviation in rural areas of 29 provinces (autonomous regions, municipalities directly under the central government) of China as the research object, this paper constructs a multidimensional poverty alleviation index system for rural finance in China. The DEAmalqusit model is used to calculate and analyze the total factor productivity, technological progress, and pure technical efficiency and scale efficiency of rural financial poverty alleviation in each region. The results show that from 2016 to 2021, the average total factor productivity of rural finance for poverty alleviation in northeast and eastern China has been on the rise, while that in western and central parts has been on the decline. The total factor productivity of rural finance among northeast, eastern and western, and central parts has obvious difference. Overall, the increment of total factor productivity of rural financial poverty alleviation in all regions of China is not obvious, the main reason is that the scale efficiency change of rural financial poverty alleviation in all regions is low, and meanwhile the pure technical efficiency and technological progress in some provinces (autonomous regions and municipalities) is on the decline. The total factor productivity of financial poverty alleviation should be improved by expanding fund input scale and accuracy, enhancing support of science and technology for rural financial poverty alleviation, enlarging innovation on rural financial products and services, and setting up a rural financial poverty alleviation riskprevention mechanism.

Key words: rural revitalization, rural finance, multidimensional efficiency of poverty alleviation, DEAmalquist

摘要： 2021年我国脱贫攻坚取得全面胜利，完成消除绝对贫困的艰巨任务，但各区域金融扶贫成效差异较大。因此，测度我国各区域农村金融多维扶贫效率，分析影响金融扶贫效率的因素，对巩固脱贫攻坚取得的成果具有重要意义。以中国29个省(区、市)农村地区金融扶贫为研究对象，构建中国农村金融多维扶贫指标体系，使用DEAmalqusit模型，对各区域农村金融扶贫的全要素生产率、技术进步、纯技术效率和规模效率进行测算与分析。结果表明：2016—2021年我国东北和东部地区农村金融扶贫平均全要素生产率呈上升趋势，西部和中部地区呈下降趋势，且东北、东部与西部、中部地区农村金融全要素生产率差异明显。从整体上看，我国各地区农村金融扶贫全要素生产率增长不明显，其主要原因是各区域农村金融扶贫规模效率较低。另外，有部分省(区、市)纯技术效率及技术进步呈下降趋势。应通过扩大金融扶贫资金投入规模及精准度，加强农村金融扶贫的科技支持，加大农村金融扶贫产品和服务的创新和构建农村金融扶贫风险防范机制等方面提高金融扶贫全要素生产率。

关键词: 乡村振兴, 农村金融, 多维扶贫效率, DEAmalqusit