This study investigates the sociodemographic and contextual determinants influencing Internet usage among individuals with visual impairments in Thailand, contributing to the literature on the digital disability divide. Data from the “Disability Survey 2022” conducted by the National Statistical Office of Thailand were used. Descriptive statistics, chi-square tests, and logistic regression analysis were performed on data from 5621 visually impaired respondents. The findings indicate that approximately 26.88% of individuals with visual impairments use the Internet. The logistic regression analysis highlights several critical disparities. Males exhibit lower odds of Internet use compared with females (adjusted odds ratio [AOR] = 0.850, p = 0.034). Younger individuals are more likely to use the Internet; a decline in use was observed with increasing age (AOR for 60+ years = 0.052, p < 0.001). Regional disparities are evident. Individuals from the northeastern (AOR = 2.044, p < 0.001), central (AOR = 1.356, p < 0.008), and southern (AOR = 1.992, p < 0.001) regions showed higher odds of Internet use compared with those from the northern region. Higher income (AOR for 5000–9999 THB = 1.798, p = 0.001), educational attainment (AOR for bachelor’s degree = 14.915, p < 0.001), and wealth index (AOR for wealthy = 5.034, p < 0.001) increase the likelihood of Internet use. Employed individuals are more likely to use the Internet (AOR = 3.159, p < 0.001) compared with unemployed individuals. Additionally, the severity of the visual impairment is crucial, with those having low vision in both eyes more likely to engage online than those who are completely blind in both eyes (AOR = 5.935, p < 0.001). These findings highlight the need for comprehensive digital inclusion initiatives that address various factors, including age-inclusive digital literacy programs, targeted regional infrastructure development, economic support to improve digital access, and advancements in assistive technologies. This study provides valuable insights for policymakers in Thailand and other developing countries, enhancing the understanding of the digital disability divide and informing strategies to foster greater digital equity.

As the global population ages, understanding the digital health behaviors of older adults becomes increasingly crucial. In Thailand, where the elderly population is rapidly growing, examining how older individuals use the internet for health-related purposes can provide valuable insights for enhancing healthcare accessibility and engagement. This study investigates the use of the internet for health-related purposes among older adults in Thailand, focusing on the socio-demographic factors influencing this behavior. Utilizing cross-sectional data from the “Thailand Internet User Behavior Survey 2022”, which includes responses from 4652 older adults, the study employs descriptive statistics, chi-square tests, and logistic regression analysis. The results reveal that approximately 10.83% of older adults use the internet for health purposes. The analysis shows that higher income (AOR = 1.298, p = 0.030), higher level of education (degree education: AOR = 1.814, p < 0.001), skilled occupations (AOR = 2.003, p < 0.001), residence in an urban area (AOR = 3.006, p < 0.001), and greater confidence in internet use (very confident: AOR = 3.153, p < 0.001) are significantly associated with a greater likelihood of using the internet for health purposes. Gender and age did not show significant differences in health-related internet use, indicating a relatively gender-neutral and age-consistent landscape. Significant regional differences were observed, with the northeastern region showing a markedly higher propensity (AOR = 2.249, p < 0.001) for health-related internet use compared to the northern region. Meanwhile, the eastern region (AOR = 0.489, p = 0.018) showed lower odds. These findings underscore the need for targeted healthcare policies to enhance digital health engagement among older adults in Thailand, emphasizing the importance of improving digital literacy, expanding infrastructure, and addressing region-specific health initiatives.

Collaborative environmental governance (CEG) is a tripartite process that engages the government, private sector, and general public in decision-making related to environmental challenges, focusing on fostering more sustainable and efficient solutions. Understanding the specific factors influencing the degree of CEG presents a significant challenge, particularly in developing countries. This study aims to identify and assess the socio-economic determinants affecting the degree of CEG in Thailand, a representative developing country. Utilizing robust panel data models, which are well-suited to handle the complex variability of socio-economic factors, we analyzed provincial-level data from 2017 and 2019. Our findings revealed the associations between the degree of CEG and variables such as the internet access divide, economic activities, income inequality, and budget allocations for environmental activities. This research fills critical gaps in our understanding of how these determinants shape collaborative governance efforts, offering novel insights that challenge existing paradigms and providing actionable recommendations for policymakers striving to enhance environmental governance in developing regions.