• ISSN: 2301-3567 (Print), 2972-3981 (Online)
    • Abbreviated Title: J. Econ. Bus. Manag.
    • Frequency: Quarterly
    • DOI: 10.18178/JOEBM
    • Editor-in-Chief: Prof. Eunjin Hwang
    • Executive Editor: Ms. Fiona Chu
    • Abstracting/ Indexing:  CNKI, Google Scholar, Electronic Journals Library, Crossref, Ulrich's Periodicals Directory, MESLibrary, etc.
    • E-mail: joebm.editor@gmail.com
JOEBM 2020 Vol.8(3): 224-229 ISSN: 2301-3567
DOI: 10.18178/joebm.2020.8.3.641

Determinant of Neighboring Migrant Workers to Thailand

Thitiwan Sricharoen

Abstract—This paper has purpose to analyze the determinant of migration classified by nationality, Burmese, Cambodian and Laotian migrants. A total of 511 migrants separated into 211 Burmese, 150 Cambodian and 150 Laotian. Analytical tool is logistic regression analysis. The results indicate that determinant of migrant worker to migrate are income before migration of labor, knowledge and attitude toward destination, having own house at home, number of family member living in destination country, difficulties in finding work at home, and career achievement opportunities at home. Variables that have positive relation with demand on migration are income before migration of labor, knowledge and difficulties in finding work at home. Variables that the coefficients of them have negative relation with demand on migration are attitude toward destination, having own house at home, number of family member living in destination country, and career achievement opportunities at home.

Index Terms—International migration, burmese migrant, cambodian migrant, laotian migrant.

Thitiwan Sricharoen is with the Faculty of Economics, Kasetsart University, Sriracha campus, Sukhumvit Road, Tungsukha, Sriracha District, Chonburi, Thailand 20230 (e-mail: thitiwanthitiwan@gmail.com).

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Cite:Thitiwan Sricharoen, "Determinant of Neighboring Migrant Workers to Thailand," Journal of Economics, Business and Management vol. 8, no. 3, pp. 224-229, 2020.

Copyright © 2020 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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