数字普惠金融服务实体经济效率测度与影响因素研究

Study on Efficiency Measurement and Influencing Factors of Digital Inclusive Finance Serving Real Economy

文章基于2013—2020年我国31个省份的面板数据,运用DEA模型和Malmquist指数从全国视角与分区域视角全面估测数字普惠金融服务实体经济的效率,并在此基础上运用Tobit模型分析影响数字普惠金融服务实体经济效率的因素。研究发现:我国大多数省份数字普惠金融服务实体经济的效率处于明显非有效但易提升阶段;东部、西部、中部三大地区技术进步变化是全要素生产率变化的主要原因;数字普惠金融发展水平在全国层面和分区域层面对数字普惠金融服务实体经济效率的影响均为负,银行集中度以及政府金融集权度对全国的影响和对东部、西部、中部地区的影响一致,且均为正向影响。

Based on the panel data of 31 provinces in China from 2013 to 2020,this paper uses DEA model and Malmquist index to comprehensively estimate the efficiency of digital inclusive finance serving the real economy from the national and regional perspectives.On this basis,Tobit model is used to analyze the factors affecting the efficiency of digital inclusive finance serving the real economy.The results are as follows:The efficiency of digital inclusive finance serving the real economy is not effective in most provinces of China but easy to improve.The change of technological progress in the eastern,western and central regions is the main reason for the change of total factor productivity.The development level of digital inclusive finance has a negative impact on the efficiency of digital inclusive finance serving the real economy at both the national level and the regional level,and the influence of bank concentration and government financial centralization on the national region is the same as that on the eastern,western and central regions,and they are all positive.