DSpace Repository

Public health expenditures and health outcomes in pakistan: Evidence from quantile autoregressive distributed lag model

Show simple item record

dc.rights.license CC BY eng
dc.contributor.author Ullah, I. cze
dc.contributor.author Ullah, A. cze
dc.contributor.author Ali, S. cze
dc.contributor.author Poulová, Petra cze
dc.contributor.author Akbar, Ahsan cze
dc.contributor.author Shah, M.H. cze
dc.contributor.author Rehman, A. cze
dc.contributor.author Zeeshan, M. cze
dc.contributor.author Afridi, F.E.A. cze
dc.date.accessioned 2025-12-05T10:29:31Z
dc.date.available 2025-12-05T10:29:31Z
dc.date.issued 2021 eng
dc.identifier.issn 1179-1594 eng
dc.identifier.uri http://hdl.handle.net/20.500.12603/1328
dc.description.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. This work is published and licensed by Dove Medical Press Limited. eng
dc.format p. 3893-3909 eng
dc.language.iso eng eng
dc.publisher Dove Medical Press Ltd eng
dc.relation.ispartof Risk Management and Healthcare Policy, volume 14, issue: september eng
dc.subject Health outcomes eng
dc.subject Healthcare spending eng
dc.subject Healthcare technologies eng
dc.subject Pakistan eng
dc.subject QARDL eng
dc.subject Quantile cointegration eng
dc.title Public health expenditures and health outcomes in pakistan: Evidence from quantile autoregressive distributed lag model eng
dc.type article eng
dc.identifier.obd 43878082 eng
dc.identifier.doi 10.2147/RMHP.S316844 eng
dc.publicationstatus postprint eng
dc.peerreviewed yes eng
dc.source.url https://www.dovepress.com/public-health-expenditures-and-health-outcomes-in-pakistan-evidence-fr-peer-reviewed-fulltext-article-RMHP cze
dc.relation.publisherversion https://www.dovepress.com/public-health-expenditures-and-health-outcomes-in-pakistan-evidence-fr-peer-reviewed-fulltext-article-RMHP eng
dc.rights.access Open Access eng


Files in this item

This item appears in the following Collection(s)

Show simple item record

Search DSpace


Browse

My Account