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

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F21%3A50018472" target="_blank" >RIV/62690094:18450/21:50018472 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.dovepress.com/public-health-expenditures-and-health-outcomes-in-pakistan-evidence-fr-peer-reviewed-fulltext-article-RMHP" target="_blank" >https://www.dovepress.com/public-health-expenditures-and-health-outcomes-in-pakistan-evidence-fr-peer-reviewed-fulltext-article-RMHP</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.2147/RMHP.S316844" target="_blank" >10.2147/RMHP.S316844</a>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

50202 - Applied Economics, Econometrics

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2021

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Risk Management and Healthcare Policy

ISSN

1179-1594

e-ISSN

—

Svazek periodika

14

Číslo periodika v rámci svazku

september

Stát vydavatele periodika

NZ - Nový Zéland

Počet stran výsledku

17

Strana od-do

3893-3909

Kód UT WoS článku

000697346100004

EID výsledku v databázi Scopus

2-s2.0-85115702251