Private Health Insurance in the Post-Pandemic Era: Spatial Econometric Market Development Analysis

The post-COVID era has posed unprecedented challenges to healthcare systems worldwide, urging a reevaluation of healthcare financing mechanisms. This study investigates the evolving landscape of private health insurance markets in the aftermath of the pandemic while considering the influence of international sanctions. Employing a spatial lag model (SLM), data from Albania, Russia, and Malaysia were analyzed to uncover the intricate interplay of factors shaping private health insurance coverage rates. The findings reveal nuanced patterns and disparities across these countries. The significance of variables varies: while private insurance share and government health expenditure consistently exhibit positive and substantial impacts on coverage rates, the unemployment rate presents differential effects. COVID-19 deaths influence coverage in Russia, emphasizing the pandemic's specific impact. Moreover, hospital beds’ significance in Malaysia underscores healthcare infrastructure's varying importance. Importantly, the spatial lag effect is consistently significant, emphasizing regional interdependence. Collectively, our study highlights the multifaceted determinants of private health insurance coverage, revealing insights crucial for policymakers navigating post-pandemic healthcare financing challenges among international sanctions. Doi: 10.28991/ESJ-2023-07-06-013 Full Text: PDF