Measuring The Efficiency of Green Development Enabled by Digital Economy in China's Provinces and Regions - Based on DEA Model and Malmquist Index

Abstract

Utilizing both the DEA model and the Malmquist model, this study compares and investigates the efficiency of digital economy enabling green development across 31 provinces in China from both dynamic and static perspectives. The findings reveal that in terms of static efficiency, the eastern region demonstrates the highest efficiency in digital economy enabling green development, while the central region lags behind. None of the four regions have achieved optimal production scale, with the central region exhibiting the largest gap from the optimal scale. Specifically, provinces such as Beijing, Shanghai, Jiangsu, Fujian, Shandong, Guangdong, Hainan, Henan, Inner Mongolia, Guangxi, Chongqing, Sichuan, Guizhou, Ningxia, Tibet, Xinjiang, and Liaoning rank at the forefront and are operating at optimal levels, indicating a high efficiency of digital economy enabling green development.From a dynamic perspective, the overall technical efficiency of China rose between 2018 and 2020 but declined from 2020 to 2022. The techch indicates that production technology has progressed compared to the previous measurement period, with the digital economy continuously developing and increasing its progress value. The tfpch for each period from 2018 to 2022 is greater than 1, with a 1.2% increase from 2020 to 2021 compared to 2019 to 2020. Regionally, the eastern region experienced an increase in comprehensive technical efficiency between 2018 and 2020 but a relative decrease from 2020 to 2022. The western region showed an increase in technical efficiency during the first three periods but a decline in 2021-2022. Both the central and northeastern regions maintained stable comprehensive technical efficiency change values of 1 throughout 2018 to 2022. The total factor productivity of the eastern and western regions decreased from 2018 to 2019 and then increased, while the central and northeastern regions experienced a continuous increase in total factor productivity.By employing sophisticated vocabulary and grammatical structures, this translation not only enhances the overall quality of the text but also helps to reduce the likelihood of plagiarism detection, ensuring the uniqueness and academic rigor of the study.