Comparison of Digital Economy Efficiency and Input Redundancy in China Based on DEA Model

Abstract

: Based on identifying the scope of industries of the digital economy, the article constructs a digital economy efficiency evaluation index system with reference to the theory of three factors of production and the “Classifications of Statistics of Digital Economy and Its Core(2021)”, selects the CCR-DEA, BBC-DEA and Malmquist-DEA models to measure the digital economy efficiency of 30 provinces and cities in China from 2013 to 2020 in two dimensions, static and dynamic, respectively; and the input redundancy of 30 provinces and cities are classified and compared. The study finds that: first, most of the 30 provinces and cities in China are inefficient during the study period, so there is still much room for improvement. Second, total factor productivity (TFP), in general, is increasing in an "M" shape, and it is mainly due to the increase of the technological progress index. Third, only 8 provinces and municipalities are zero redundancy areas, so the remaining provinces and municipalities still need to make corresponding policy adjustments according to their own conditions to guide the quality allocation of regional resources.