Healthcare Indicators and the Poverty Nexus in Bangladesh: A Statistical Analysis
DOI:
https://doi.org/10.37134/ibej.Vol17.1.5.2024Keywords:
ARDL, Bangladesh, Poverty, Healthcare Indicators, Health Expediture Per Capita (HEPC), Out-of-Pocket (OOP)Abstract
This study examines the association between healthcare indicators and poverty in Bangladesh using data from the World Development Indicators from 2000 to 2021. The study employs the autoregressive distributed lag (ARDL) model for data analysis to investigate the short- and long-run dynamics between healthcare indicators and poverty. The results show that poverty significantly predicts healthcare indicators, including maternal mortality rates and access to essential healthcare services. The findings suggest that reducing poverty and investing in healthcare infrastructure and services are crucial for improving health outcomes in Bangladesh. The study highlights the importance of reliable healthcare data and indicators for informing evidence-based policy decisions and interventions. Policymakers and healthcare stakeholders in Bangladesh must prioritize collecting and analyzing healthcare data to monitor progress, identify gaps and challenges, and develop effective strategies to improve healthcare outcomes. The study underscores the need for a comprehensive and coordinated approach to addressing poverty and improving healthcare outcomes in Bangladesh.
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