Abstract
Labor exports are currently considered among the most important foreign economic sectors, implying that they contribute to a country’s economic development and serve as a strategic solution for employment creation. Therefore, with the support of data collected between 1992 and 2020, this paper proposes that labor exports contribute significantly to Vietnam’s socio-economic development. This study also aims to employ the Backpropagation Neural Network (BPNN), k-Nearest Neighbor (kNN), and Random Forest Regression (RFR) models to analyze labor migration forecasting in Taiwan, Korea, and Japan. The study results indicate that the BPNN model was able to achieve the highest accuracy regarding the actual labor exports. In terms of these accuracy metrics, this study will aid the Vietnamese government in establishing new legislation for Vietnamese migrant workers in order to improve the nation’s economic development.
Subject
Geometry and Topology,Logic,Mathematical Physics,Algebra and Number Theory,Analysis
Reference50 articles.
1. Tourism, Competitiveness, and Societal Prosperity;Crouch;J. Bus. Res.,1999
2. Sustainable Intensification of Agriculture for Human Prosperity and Global Sustainability;Rockström;Ambio,2017
3. The Causes of Welfare State Expansion: Deindustrialization or Globalization?;Iversen;World Politics,2000
4. Globalization Implications for Human Resource Management Roles;Friedman;Empl. Responsib. Rights J.,2007
5. Relationship between Environment and Sustainable Economic Development: A Theoretical Approach to Environmental Problems;Awan;Int. J. Asian Soc. Sci.,2013
Cited by
7 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献