MEASURING THE INPUT-OUTPUT EFFICIENCY OF DIGITAL ECONOMY DEVELOPMENT IN HUZHOU: AN EMPIRICAL ANALYSIS

Abstract

This article presents an empirical analysis of the efficiency of digital economy development in Huzhou using the DEA-BCC model and the Malmquist index model. The study covers the period from 2016 to 2021 and examines the utilization of digital economic resources in Huzhou from both static and dynamic efficiency perspectives. The results indicate that the input of digital economic resources in Huzhou has not been fully utilized in some years, and PTE is the main factor limiting the efficiency of digital economy development. Additionally, the TFP of the digital economy of Huzhou has shown a trend of fluctuation, which is mainly driven by TC. The study also reveals a significant disparity in the effectiveness of digital economic development among counties/districts in Huzhou.

Based on the findings, the article suggests several measures for enhancing the efficiency of digital economy development in Huzhou. These include the need for government departments to make a master plan and rationally allocate resources, accelerate digital technology innovation, optimize talent services, and focus on the complementary and coordinated development of each county/district. Overall, the study provides insights into the challenges and opportunities facing digital economy development in Huzhou and highlights the importance of taking a comprehensive and integrated approach to achieve high-level efficiency