Advances in Economics, Management and Political Sciences
- The Open Access Proceedings Series for Conferences
Proceedings of the 7th International Conference on Economic Management and Green Development
Series Vol. 27 , 10 November 2023
Open
Access | Article
Statistical Examination of Status Quo and Potential Problems of College Students Participating Gig Economy in China
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Abstract
The flexibility of the gig economy allows it to attract considerable attention during the COVID-19 pandemic. This form of economic activity, however, has long existed in China. This article studies the status quo and the potential problems with contemporary college students participating in the Chinese gig economy. By collecting samples from different Chinese regions and dissimilar types of college students, the study discusses their large-scale gig economy participation rate regardless of regions and higher education levels. The study also analysed the fulfilment of expectations among college students and discovered that the current state of satisfaction is not favourable and necessitates improvement for the future sustainment and prosperity of the gig economy. The article offers several suggestions for improvement, including adopting more reassurance in the areas with a lesser participation rate and improving the accuracy of matching between students and job positions to satisfy their expectations. However, these solution proposals need further investigation to explore their optimal use.
Keywords
gig economy, college students, statistical examination, economic activity, China
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 7th International Conference on Economic Management and Green Development
- ISBN (Print)
- 978-1-83558-075-2
- ISBN (Online)
- 978-1-83558-076-9
- Published Date
- 10 November 2023
- Series
- Advances in Economics, Management and Political Sciences
- ISSN (Print)
- 2754-1169
- ISSN (Online)
- 2754-1177
- DOI
- 10.54254/2754-1169/27/20231207
- Copyright
- 10 November 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