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Spatial Panel Data Analysis on the Relationship between Provincial Economic Status and Enrolment in the Social Security Scheme amongst Migrant Workers in Thailand, 2015–2018

Author

Listed:
  • Shaheda Viriyathorn

    (International Health Policy Program, Ministry of Public Health, Tiwanon Rd., Nonthaburi 11000, Thailand)

  • Mathudara Phaiyarom

    (International Health Policy Program, Ministry of Public Health, Tiwanon Rd., Nonthaburi 11000, Thailand)

  • Putthipanya Rueangsom

    (International Health Policy Program, Ministry of Public Health, Tiwanon Rd., Nonthaburi 11000, Thailand)

  • Rapeepong Suphanchaimat

    (International Health Policy Program, Ministry of Public Health, Tiwanon Rd., Nonthaburi 11000, Thailand
    Department of Disease Control, Division of Epidemiology, Ministry of Public Health, Tiwanon Rd., Nonthaburi 11000, Thailand)

Abstract

Background: Thailand has a large flow of migrants from neighbouring countries; however, the relationship between economic status at the provincial level and the insured status of migrants is still vague. This study aimed to examine the association between provincial economy and the coverage of the Social Security Scheme (SSS) for migrants. Methods: Time-series data were analysed. The units of analysis were 77 provinces during 2015–2018. Data were obtained from the Social Security Office (SSO). Spatiotemporal regression (Spatial Durbin model (SDM)) was applied. Results: Migrant workers were mostly concentrated in Greater Bangkok, the capital city and areas surrounding it, but SSS coverage was less than 50%. However, the ratio of insured migrants to all migrants seemed to have positive relationship with the provincial economy in SDM. The ratio of insured migrants to all migrants was enlarged in all regions outside Greater Bangkok with statistical significance. Conclusions: Low enforcement on employment law in some areas, particularly Greater Bangkok, can result in lesser SSS coverage. The provincial economic prosperity did not guarantee large SSS coverage. Interventions to ensure strict insurance enrolment are required.

Suggested Citation

  • Shaheda Viriyathorn & Mathudara Phaiyarom & Putthipanya Rueangsom & Rapeepong Suphanchaimat, 2021. "Spatial Panel Data Analysis on the Relationship between Provincial Economic Status and Enrolment in the Social Security Scheme amongst Migrant Workers in Thailand, 2015–2018," IJERPH, MDPI, vol. 19(1), pages 1-13, December.
    • Handle: RePEc:gam:jijerp:v:19:y:2021:i:1:p:181-:d:710563
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    References listed on IDEAS

    as
    1. J. Paul Elhorst, 2014. "Spatial Panel Data Models," SpringerBriefs in Regional Science, in: Spatial Econometrics, edition 127, chapter 0, pages 37-93, Springer.
    2. Watinee Kunpeuk & Pard Teekasap & Hathairat Kosiyaporn & Sataporn Julchoo & Mathudara Phaiyarom & Pigunkaew Sinam & Nareerut Pudpong & Rapeepong Suphanchaimat, 2020. "Understanding the Problem of Access to Public Health Insurance Schemes among Cross-Border Migrants in Thailand through Systems Thinking," IJERPH, MDPI, vol. 17(14), pages 1-19, July.
    3. Mathudara Phaiyarom & Nareerut Pudpong & Rapeepong Suphanchaimat & Watinee Kunpeuk & Sataporn Julchoo & Pigunkaew Sinam, 2020. "Outcomes of the Health Insurance Card Scheme on Migrants’ Use of Health Services in Ranong Province, Thailand," IJERPH, MDPI, vol. 17(12), pages 1-15, June.
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