Advances in Economics, Management and Political Sciences

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Proceedings of the 2023 International Conference on Management Research and Economic Development

Series Vol. 19 , 13 September 2023


Open Access | Article

China’s Labor Market Dynamics under Covid-19 Pandemic: Youth, Adult, and Overall

Songyue Chunyu * 1
1 NOIC Academy

* Author to whom correspondence should be addressed.

Advances in Economics, Management and Political Sciences, Vol. 19, 172-180
Published 13 September 2023. © 2023 The Author(s). Published by EWA Publishing
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Citation Songyue Chunyu. China’s Labor Market Dynamics under Covid-19 Pandemic: Youth, Adult, and Overall. AEMPS (2023) Vol. 19: 172-180. DOI: 10.54254/2754-1169/19/20230134.

Abstract

At the end of 2019, COVID-19 suddenly emerged in various countries around the world. Its rampant global spread has resulted in immeasurable loss and effect for most nationalities and citizens. Unfortunately, the indeterminacy elements of economic development and environment increased dramatically especially in China caused by the pandemic situation, the depression of economy further highlighted contradiction of the employment structure. Citizens of different ages faced divergent challenges like staff reduction, great competitive pressure of obtaining occupation, and so on. As a consequence, diverse elevation of unemployment rate occurred in all citizens, youths, and adults respectively. In this article, three divergent unemployment rates for overall citizens, youths, and adults respectively are selected and the data from January 2018 to October 2022 are extracted. This research applies ARIMA Model to structure and analyze data in order to study the scope of addition and subtraction of three separate unemployment rates on account of serious pandemic. Meanwhile, based on the prediction of future trend of China’s unemployment rates from January 2022 to October 2022 and contrasting it with the actual data, it can be seen obviously that over unemployment rate increases dramatically as a result of pandemic, and the most heavily affected part is one in young citizens. Finally, this paper furnishes referential recommendations for pandemic policy in economic progress and employment aspects.

Keywords

COVID-19 pandemic, China, unemployment rate, youth, ARIMA Model

References

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Data Availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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Volume Title
Proceedings of the 2023 International Conference on Management Research and Economic Development
ISBN (Print)
978-1-915371-81-2
ISBN (Online)
978-1-915371-82-9
Published Date
13 September 2023
Series
Advances in Economics, Management and Political Sciences
ISSN (Print)
2754-1169
ISSN (Online)
2754-1177
DOI
10.54254/2754-1169/19/20230134
Copyright
13 September 2023
Open Access
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited

Copyright © 2023 EWA Publishing. Unless Otherwise Stated