Cargando…
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
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 S...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8750280/ https://www.ncbi.nlm.nih.gov/pubmed/35010441 http://dx.doi.org/10.3390/ijerph19010181 |
_version_ | 1784631424781910016 |
---|---|
author | Viriyathorn, Shaheda Phaiyarom, Mathudara Rueangsom, Putthipanya Suphanchaimat, Rapeepong |
author_facet | Viriyathorn, Shaheda Phaiyarom, Mathudara Rueangsom, Putthipanya Suphanchaimat, Rapeepong |
author_sort | Viriyathorn, Shaheda |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8750280 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-87502802022-01-12 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 Viriyathorn, Shaheda Phaiyarom, Mathudara Rueangsom, Putthipanya Suphanchaimat, Rapeepong Int J Environ Res Public Health Article 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. MDPI 2021-12-24 /pmc/articles/PMC8750280/ /pubmed/35010441 http://dx.doi.org/10.3390/ijerph19010181 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Viriyathorn, Shaheda Phaiyarom, Mathudara Rueangsom, Putthipanya Suphanchaimat, Rapeepong 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 |
title | 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 |
title_full | 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 |
title_fullStr | 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 |
title_full_unstemmed | 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 |
title_short | 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 |
title_sort | 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 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8750280/ https://www.ncbi.nlm.nih.gov/pubmed/35010441 http://dx.doi.org/10.3390/ijerph19010181 |
work_keys_str_mv | AT viriyathornshaheda spatialpaneldataanalysisontherelationshipbetweenprovincialeconomicstatusandenrolmentinthesocialsecurityschemeamongstmigrantworkersinthailand20152018 AT phaiyarommathudara spatialpaneldataanalysisontherelationshipbetweenprovincialeconomicstatusandenrolmentinthesocialsecurityschemeamongstmigrantworkersinthailand20152018 AT rueangsomputthipanya spatialpaneldataanalysisontherelationshipbetweenprovincialeconomicstatusandenrolmentinthesocialsecurityschemeamongstmigrantworkersinthailand20152018 AT suphanchaimatrapeepong spatialpaneldataanalysisontherelationshipbetweenprovincialeconomicstatusandenrolmentinthesocialsecurityschemeamongstmigrantworkersinthailand20152018 |