Proceedings of the 2022 International Conference on mathematical statistics and economic analysis (MSEA 2022)

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Technological Innovation Effect on Employment of Tertiary Sector in China: an ARDL Bounds Testing Approach

Authors
Yantong Zhao1, 2, *
1School of Business and Economics, University Putra Malaysia, 43400, Serdang Selangor, Malaysia
2Jining University, Department of Economics and Management, 272155, Shandong, China
*Corresponding author. Email: gs60065@student.upm.edu.my
Corresponding Author
Yantong Zhao
Available Online 29 December 2022.
DOI
10.2991/978-94-6463-042-8_126How to use a DOI?
Keywords
ARDL model; creation effect; substitutive effect; technological innovation; tertiary industry
Abstract

The world is currently witnessing great technological progress, known as the fourth industrial revolution. Although the industrial processes decrease employment in the primary and secondary sectors, it is unclear how technological improvement affects employment in the tertiary sector. This study aims to investigate the impact of technological change on employment numbers in the tertiary industry in China using an ARDL model. Using yearly data from 1991 to 2020, our results show that technological change in the form of the Contractual Value Deal in Domestic Technical Markets and Foreign Direct Investment has a long- and short-run impact on employment in the tertiary industry in China. Also, technological changes show a negative and positive effect on the number of employments in the tertiary industry in the short- and long-run, respectively. This finding implies that technological progress has a substitutive effect on employment in the short-run while creation effect in the long-run. A complete discussion of different specific industries lies beyond the scope of this study.

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 mathematical statistics and economic analysis (MSEA 2022)
Series
Advances in Computer Science Research
Publication Date
29 December 2022
ISBN
10.2991/978-94-6463-042-8_126
ISSN
2352-538X
DOI
10.2991/978-94-6463-042-8_126How 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  - Yantong Zhao
PY  - 2022
DA  - 2022/12/29
TI  - Technological Innovation Effect on Employment of Tertiary Sector in China: an ARDL Bounds Testing Approach
BT  - Proceedings of the 2022 International Conference on mathematical statistics and economic analysis (MSEA 2022)
PB  - Atlantis Press
SP  - 892
EP  - 898
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-042-8_126
DO  - 10.2991/978-94-6463-042-8_126
ID  - Zhao2022
ER  -