Literature DB >> 34584469

Public Health Expenditures and Health Outcomes in Pakistan: Evidence from Quantile Autoregressive Distributed Lag Model.

Irfan Ullah1, Assad Ullah2, Sher Ali3, Petra Poulova4, Ahsan Akbar5, Muhammad Haroon Shah6, Alam Rehman7, Muhammad Zeeshan8, Fakhr E Alam Afridi3.   

Abstract

OBJECTIVE: The provision of healthcare facilities remains high on the manifesto of various political parties in Pakistan and healthcare spending has witnessed a significant surge in the last two decades that is expected to positively influence health outcomes in the country. Therefore, this research aims to explore the effects of healthcare expenditures on the actual health status of the masses in Pakistan for the period 1995Q1 to 2017Q1.
METHODS: We apply the Quantile Autoregressive Distributed Lag (QARDL) approach for estimation purposes. This is the most recent and emerging estimation technique in time series analysis.
RESULTS: Our findings confirm that public healthcare spending significantly impacts health outcomes in Pakistan both in the short-run and long-run. Public healthcare spending improves life expectancy and reduces death rate and infant mortality.
CONCLUSION: The study concludes that public healthcare is the main focus of the current regime. It is noticed that spending on healthcare significantly contributes to the health outcomes in Pakistan. These efforts by the government significantly promote life expectancy and drop down the mortality ratio in the country. Based on these notable facts, the government should allocate sufficient resources towards the latest healthcare technologies and equipment to optimize health outcomes in the country.
© 2021 Ullah et al.

Entities:  

Keywords:  Pakistan; QARDL; Quantile cointegration; health outcomes; healthcare spending; healthcare technologies

Year:  2021        PMID: 34584469      PMCID: PMC8462281          DOI: 10.2147/RMHP.S316844

Source DB:  PubMed          Journal:  Risk Manag Healthc Policy        ISSN: 1179-1594


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