Proceedings of the 2023 3rd International Conference on Business Administration and Data Science (BADS 2023)

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Digital Economy, Employment Quality and Capital Allocation Efficiencies

——Evidence from Intelligent Manufacturing Listed Companies

Authors
Wang Qiong1, *, Zhu Hong1, Ma Ran1, Zhang Yiwen1, Zhang Hongru2
1Aliyun School of Big Data, Changzhou University, Changzhou, 213164, China
2College of Business, Yancheng Teachers University, Yancheng, 224002, China
*Corresponding author. Email: wangqiong@cczu.edu.cn
Corresponding Author
Wang Qiong
Available Online 30 December 2023.
DOI
10.2991/978-94-6463-326-9_5How to use a DOI?
Keywords
Capital Allocation Efficiency; Employment Quality; Digital Economy
Abstract

Taking intelligent manufacturing listed companies during 2015–2021 as a sample, the paper incordorated capital allocation efficiencies of enterprises, digital economy, and employment quality into a research framework. It was empirically tested the influence of digital economy on capital allocation efficiencies of intelligent manufacturing enterprises and the mediating transmission mechanism of employment quality. The results show that digital economy can promote positively capital allocation efficiencies of intelligent manufacturing enterprises, and improves their capital allocation efficiencies by improving employment quality. After the robustness test, the conclusions are still valid. Through heterogeneity analysis, digital economic has a more significant promoting on capital allocation efficiencies of state-owned enterprises. The improvement effect of the digital economy development on capital allocation efficiencies of intelligent manufacturing enterprises in the eastern region is weaker than that in other regions.

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 2023 3rd International Conference on Business Administration and Data Science (BADS 2023)
Series
Atlantis Highlights in Computer Sciences
Publication Date
30 December 2023
ISBN
10.2991/978-94-6463-326-9_5
ISSN
2589-4900
DOI
10.2991/978-94-6463-326-9_5How 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  - Wang Qiong
AU  - Zhu Hong
AU  - Ma Ran
AU  - Zhang Yiwen
AU  - Zhang Hongru
PY  - 2023
DA  - 2023/12/30
TI  - Digital Economy, Employment Quality and Capital Allocation Efficiencies
BT  - Proceedings of the 2023 3rd International Conference on Business Administration and Data Science (BADS 2023)
PB  - Atlantis Press
SP  - 36
EP  - 50
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-326-9_5
DO  - 10.2991/978-94-6463-326-9_5
ID  - Qiong2023
ER  -