Advances in Economics, Management and Political Sciences
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Proceedings of the 2nd International Conference on Financial Technology and Business Analysis
Series Vol. 54 , 01 December 2023
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Comparative Analysis of Unemployment Rates Between China and India
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Abstract
This study examines the unemployment rate in two major developing economies, China and India, to forecast their economic trajectories. Through an autoregressive integrated moving average (ARIMA) model, this study analyzes historical trends and potential future scenarios that can help make informed decisions for sustainable growth. By evaluating the literature on the labor market, informal economy, demographics, and the impact of technology, this study enriches the understanding of these intricate economies. The study concludes that China’s unemployment rate has remained stable, indicating an equilibrium, while India’s unemployment rate has fluctuated slightly, which may be due to health crises, technological shifts, and global trade dynamics. This study emphasizes the role of domestic policies, demographic and global economic factors in influencing unemployment rates. Overall, this study provides insights into the dynamics of unemployment in China and India, providing a valuable resource for policymakers, researchers, and businesses to understand the complexities of these economies.
Keywords
unemployment rate, Arima model, India, 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 2nd International Conference on Financial Technology and Business Analysis
- ISBN (Print)
- 978-1-83558-155-1
- ISBN (Online)
- 978-1-83558-156-8
- Published Date
- 01 December 2023
- Series
- Advances in Economics, Management and Political Sciences
- ISSN (Print)
- 2754-1169
- ISSN (Online)
- 2754-1177
- DOI
- 10.54254/2754-1169/54/20230912
- Copyright
- 01 December 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