<p>Thailand exhibits one of Asia’s fastest rates of population aging. Understanding older adults’ satisfaction with public welfare policies is crucial for improving resource allocation and well-being. Using two waves (2011 and 2017) of the National Statistics Office’s Survey of the Older Persons, this study applies Ordered Logistic Regression (OLOGIT) and Generalized Ordered Logistic Regression (GOLM) to examine satisfaction with healthcare, assistance programs, living expenses, and transportation. Results reveal substantial heterogeneity in policy satisfaction. Disparities persist across age groups, regions, income, educational level, gender, and health status. Critically, individuals in urban areas, the capital city, and those with higher incomes or better self-assessed physical health report lower satisfaction with government services. These findings underscore the limitations of universal programs, such as the old-age allowance, in meeting diverse needs. We demonstrate the necessity of moving toward differentiated, tailor-made service delivery models. Differentiated policies are essential to address heterogeneous needs across subgroups and ensure equitable resource allocation for Thailand’s evolving aged population.</p>

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Understanding Older Adults’ Satisfaction with Public Policies in Thailand: Evidence from Ordered Logistic Regression

  • Navarat Temsumrit,
  • Euamporn Phijaisanit

摘要

Thailand exhibits one of Asia’s fastest rates of population aging. Understanding older adults’ satisfaction with public welfare policies is crucial for improving resource allocation and well-being. Using two waves (2011 and 2017) of the National Statistics Office’s Survey of the Older Persons, this study applies Ordered Logistic Regression (OLOGIT) and Generalized Ordered Logistic Regression (GOLM) to examine satisfaction with healthcare, assistance programs, living expenses, and transportation. Results reveal substantial heterogeneity in policy satisfaction. Disparities persist across age groups, regions, income, educational level, gender, and health status. Critically, individuals in urban areas, the capital city, and those with higher incomes or better self-assessed physical health report lower satisfaction with government services. These findings underscore the limitations of universal programs, such as the old-age allowance, in meeting diverse needs. We demonstrate the necessity of moving toward differentiated, tailor-made service delivery models. Differentiated policies are essential to address heterogeneous needs across subgroups and ensure equitable resource allocation for Thailand’s evolving aged population.