4.6 Article

Assessing the Static and Dynamic Efficiency of Digital Economy in China: Three Stage DEA-Malmquist Index Based Approach

Journal

SUSTAINABILITY
Volume 15, Issue 6, Pages -

Publisher

MDPI
DOI: 10.3390/su15065270

Keywords

digital economy; efficiency; three stage DEA; Malmquist index; SFA regression model

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The digital economy is a new economic form that has become a crucial driver of economic development in various countries. This study used a three-stage DEA model and the Malmquist index to quantify and analyze the efficiency of China's digital economy from 2013 to 2020, both statically and dynamically. The findings revealed significant improvements in scale efficiency, integrated technical efficiency, and pure technical efficiency after excluding external environmental factors, indicating the unique influence of these factors on the digital economy's efficiency. The efficiency of the digital economy varied across regions, with the eastern region performing the best and the central region the worst. Technological advancement was identified as the primary driver of the positive growth trend in the efficiency of the digital economy. Overall, there is ample room for growth in China's digital economy, and each province and city should leverage their own capabilities to accelerate digital construction.
The digital economy, a new economic form, has become an essential economic development engine in various countries. Recently, less research has been conducted on the efficiency of the digital economy, with the majority of studies instead concentrating on the industrial size of the digital economy. Therefore, to quantify and analyze the efficiency of China's digital economy from 2013 to 2020 from both a static and dynamic perspective, this research utilized a three-stage DEA model and the Malmquist index. The findings demonstrated that after excluding external environmental factors, the scale efficiency value, integrated technical efficiency value, and pure technical efficiency value all significantly increased. This confirmed that external environmental factors uniquely influence the efficiency of the digital economy. The efficiency of the digital economy varies by location, with the eastern region tending to perform the best, and the central region tending to perform the worst. The efficiency decomposition results demonstrated that the positive growth trend of the efficiency of the digital economy is primarily due to technological advancement. Overall, there is a lot of room for growth in China's digital economy. Each province and city should combine their own capabilities to accelerate digital construction.

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