Publication: Labor Migration in Kanchanaburi Demographic Surveillance System: Characteristics and Determinants
Issued Date
2007-07
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Language
eng
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Mahidol University
Bibliographic Citation
Journal of Population and Social Studies. Vol.16, No.1 (2007), 117-141
Suggested Citation
Tran Quang Lam, John R. Bryant, Aphichat Chamratrithirong, อภิชาติ จำรัสฤทธิรงค์, Yothin Sawangdee, โยธิน แสวงดี Labor Migration in Kanchanaburi Demographic Surveillance System: Characteristics and Determinants. Journal of Population and Social Studies. Vol.16, No.1 (2007), 117-141. Retrieved from: https://repository.li.mahidol.ac.th/handle/20.500.14594/2912
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Title
Labor Migration in Kanchanaburi Demographic Surveillance System: Characteristics and Determinants
Alternative Title(s)
คุณลักษณะและตัวกำหนดแรงงานย้ายถิ่นในระบบเฝ้าระวังทางประชากรกาญจนบุรี
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Abstract
This study examines patterns, characteristics and determinants of short-term labor migration in Kanchanaburi Demographic Surveillance System (KDSS), Thailand.Data from the KDSS Round 2 (2001) and Round 3 (2002) were used. Only persons in
the working ages (15-59) are included in the analysis.
The probability of engaging in short-term labor migration is modeled using binary logistic regression. The determinants of migration are grouped into four main
categories i.e. individual socio-demographic factors, individual economic factors,
household factors and contextual factors.
Study findings suggest that labor migrants in KDSS share many similar characteristics compared to other groups of migrants in previous migration literature i.e.
sex, age, work status, marital status, household characteristics and village
characteristics. However, differences were also found regarding timing of migration and
educational level.
Major forces of labor migration in KDSS are diverse and somewhat associated with economic factors (income differences, unemployment, number of labor in household, etc.) and migration experience. The determinants of labor migration differ
by gender. Individual and household factors appear to have strong impact on male
migration, while individual and contextual factors are strong predictors for female
migration.