Measurement and Evaluation of Provincial Digital Economy Development Efficiency

DOI

10.2991/978-94-6463-222-4_4How to use a DOI?

Keywords

digital economy; the level of development of the digital economy; DEA-Malmquist index method; Total factor productivity

Abstract

In this paper, an evaluation index system of digital economy is constructed from the perspective of input-output, and the entropy weight TOPSIS method is used to comprehensively calculate the development level of digital economy in China’s provinces from 2015 to 2019. On this basis, BCC-DEA model and Malmquist index model are used to calculate the output efficiency of China’s digital economy from static and dynamic aspects, respectively. It is found that the digital economic development level of the eastern region led by Guangdong province is far ahead. From the perspective of static efficiency, the development of digital economy in most provinces in China has been in a state of inefficiency for a long time. From the perspective of dynamic efficiency, the total factor productivity of China’s digital economy generally shows an upward trend, and from the data, the overall average annual growth rate of 0.14 percent. This study enriches and updates the digital economy evaluation index system, which provides practical significance and policy reference for improving the level and output efficiency of provincial digital economy, making better use of digital economy to reduce the imbalance of national digital economy development, and promoting common prosperity.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Jianhua Zhang
AU  - Mitian Ma
PY  - 2023
DA  - 2023/08/28
TI  - Measurement and Evaluation of Provincial Digital Economy Development Efficiency
BT  - Proceedings of the 2023 2nd International Conference on Artificial Intelligence, Internet and Digital Economy (ICAID 2023)
PB  - Atlantis Press
SP  - 34
EP  - 49
SN  - 2589-4919
UR  - https://doi.org/10.2991/978-94-6463-222-4_4
DO  - 10.2991/978-94-6463-222-4_4
ID  - Zhang2023
ER  -