Proceedings of the 2022 International Conference on Bigdata Blockchain and Economy Management (ICBBEM 2022)

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Operating Efficiency Analysis of Listed Companies in Digital Industry: A Malmquist Approach

Authors
Yitong Liu1, *, Ying Zhou1
1Department of Management, Shenyang Jianzhu University, No. 25, Hunnan Middle Road, Shenyang, China
*Corresponding author. Email: qiya841030290@sina.com
Corresponding Author
Yitong Liu
Available Online 20 December 2022.
DOI
10.2991/978-94-6463-030-5_140How to use a DOI?
Keywords
Digital Industrialization; Malmquist Productivity Index Method; Operating Efficiency; China
Abstract

This paper aims to use nonparametric frontier techniques to investigate the extent and causes of operating efficiency changes of listed companies in the digital industry in China. 54 listed companies from 2018 to 2020 are selected as samples, their total factor productivity is calculated by using the Malmquist productivity index method by Deap2.1 software and decomposed into changes in technical efficiency and technological progress. The results given by software show that the operation efficiency of China's digital industry listed companies need to be further improved. Technological progress is the main factor restricting the efficiency of operation. The pure technical efficiency and scale efficiency have declined in the period of 2019–2020, which is most likely to be affected by COVID-19. With the stability of the epidemic in China and the further development and growth of the digital economy, listed companies in the digital industry should pay attention to the balance between the expansion of business scale and the improvement of pure technical efficiency while focusing on improving technological innovation.

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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Volume Title
Proceedings of the 2022 International Conference on Bigdata Blockchain and Economy Management (ICBBEM 2022)
Series
Atlantis Highlights in Intelligent Systems
Publication Date
20 December 2022
ISBN
978-94-6463-030-5
ISSN
2589-4919
DOI
10.2991/978-94-6463-030-5_140How to use a DOI?
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.

Cite this article

risenwbib
TY  - CONF
AU  - Yitong Liu
AU  - Ying Zhou
PY  - 2022
DA  - 2022/12/20
TI  - Operating Efficiency Analysis of Listed Companies in Digital Industry: A Malmquist Approach
BT  - Proceedings of the 2022 International Conference on Bigdata Blockchain and Economy Management (ICBBEM 2022)
PB  - Atlantis Press
SP  - 1410
EP  - 1418
SN  - 2589-4919
UR  - https://doi.org/10.2991/978-94-6463-030-5_140
DO  - 10.2991/978-94-6463-030-5_140
ID  - Liu2022
ER  -