The determinants of health care expenditure: an empirical evidence from Asean countries

The main motivation of this research project is to investigate the determinants of Health Care Expenditure (HCE): an empirical evidence from ASEAN countries. There are 200 total observations that involved annual data from 1995 to 2014 in Brunei Darussalam, Cambodia, Indonesia, Laos, Malaysia, Myanma...

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Main Author:	Nor Faizah, Ahmad @ Mohammed Razikin
Format:	Thesis
Language:	eng eng
Published:	2017
Subjects:	RA410.55 Hospital Care.
Online Access:	https://etd.uum.edu.my/7164/1/s819542_01.pdf https://etd.uum.edu.my/7164/2/s819542_02.pdf
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id	my-uum-etd.7164
record_format	uketd_dc
institution	Universiti Utara Malaysia
collection	UUM ETD
language	eng eng
advisor	Nayan, Sabri
topic	RA410.55 Hospital Care.
spellingShingle	RA410.55 Hospital Care. Nor Faizah, Ahmad @ Mohammed Razikin The determinants of health care expenditure: an empirical evidence from Asean countries
description	The main motivation of this research project is to investigate the determinants of Health Care Expenditure (HCE): an empirical evidence from ASEAN countries. There are 200 total observations that involved annual data from 1995 to 2014 in Brunei Darussalam, Cambodia, Indonesia, Laos, Malaysia, Myanmar, Philippines, Singapore, Thailand and Vietnam. Data collection for this study is based on secondary data that obtained from the Central of International Data, World Development Indicator (World Bank Database, 2016), World Health Organization (WHO, 2016), ASEAN Up Database and also from the central bank of each country. The data used in this study is to prove the significant relationship between dependent and independent variables for the four models. The first model, Panel A analyses the relationship between HCE with the Gross Domestic Product (GDP), Population, Life Insurance Coverage (LIC), Household Final Consumption Expenditure (HFCE) and Consumer Price Index (CPI). For the second model, Panel B examines the significant influence of HCE, Population, LIC, HFCE and CPI on the economic growth. Based on the variables of these both models, then Panel C and Panel D were generated by using natural logarithm (ln). Pooled Ordinary Least Square (POLS) of Regression Model revealed that Panel A found the GDP, Population, LIC and CPI are positively correlated to the HCE that have the statistical significant at 0.01 level. However, there is a negative relationship between HFCE and HCE at the statistical significant of 0.01 level. Next, Panel B indicated the HCE, LIC and HFCE have positive correlation with GDP at the statistical significant of 0.01 level except for LIC at 0.05 level. While, there is a negative relationship between Population and CPI with the GDP at statistical significant of 0.01 and 0.10 level respectively. Panel C represented the lnGDP, lnLIC, lnHFCE and lnCPI are positively correlated to the lnHCE that have the statistical significant at 0.01 level. However, there is a negative relationship between lnPop and lnHCE at the statistical significant of 0.01. Last but not least, Panel D showed the lnHCE, lnPop and lnLIC have positive correlation with lnGDP at the statistical significant of 0.01 level except for lnLIC that has no statistical influence. While, there is a negative relationship between lnHFCE and lnCPI with lnGDP at the statistical significant of 0.01 level. Regarding to these findings, this study was supported the previous empirical works as well as presents the several policy implications and recommendations for research improvement in the future.
format	Thesis
qualification_name	other
qualification_level	Master's degree
author	Nor Faizah, Ahmad @ Mohammed Razikin
author_facet	Nor Faizah, Ahmad @ Mohammed Razikin
author_sort	Nor Faizah, Ahmad @ Mohammed Razikin
title	The determinants of health care expenditure: an empirical evidence from Asean countries
title_short	The determinants of health care expenditure: an empirical evidence from Asean countries
title_full	The determinants of health care expenditure: an empirical evidence from Asean countries
title_fullStr	The determinants of health care expenditure: an empirical evidence from Asean countries
title_full_unstemmed	The determinants of health care expenditure: an empirical evidence from Asean countries
title_sort	determinants of health care expenditure: an empirical evidence from asean countries
granting_institution	Universiti Utara Malaysia
granting_department	School of Economics, Finance & Banking
publishDate	2017
url	https://etd.uum.edu.my/7164/1/s819542_01.pdf https://etd.uum.edu.my/7164/2/s819542_02.pdf
_version_	1747828166260424704
spelling	my-uum-etd.71642021-05-10T08:00:16Z The determinants of health care expenditure: an empirical evidence from Asean countries 2017 Nor Faizah, Ahmad @ Mohammed Razikin Nayan, Sabri School of Economics, Finance & Banking School of Economics, Finance and Banking RA410.55 Hospital Care. The main motivation of this research project is to investigate the determinants of Health Care Expenditure (HCE): an empirical evidence from ASEAN countries. There are 200 total observations that involved annual data from 1995 to 2014 in Brunei Darussalam, Cambodia, Indonesia, Laos, Malaysia, Myanmar, Philippines, Singapore, Thailand and Vietnam. Data collection for this study is based on secondary data that obtained from the Central of International Data, World Development Indicator (World Bank Database, 2016), World Health Organization (WHO, 2016), ASEAN Up Database and also from the central bank of each country. The data used in this study is to prove the significant relationship between dependent and independent variables for the four models. The first model, Panel A analyses the relationship between HCE with the Gross Domestic Product (GDP), Population, Life Insurance Coverage (LIC), Household Final Consumption Expenditure (HFCE) and Consumer Price Index (CPI). For the second model, Panel B examines the significant influence of HCE, Population, LIC, HFCE and CPI on the economic growth. Based on the variables of these both models, then Panel C and Panel D were generated by using natural logarithm (ln). Pooled Ordinary Least Square (POLS) of Regression Model revealed that Panel A found the GDP, Population, LIC and CPI are positively correlated to the HCE that have the statistical significant at 0.01 level. However, there is a negative relationship between HFCE and HCE at the statistical significant of 0.01 level. Next, Panel B indicated the HCE, LIC and HFCE have positive correlation with GDP at the statistical significant of 0.01 level except for LIC at 0.05 level. While, there is a negative relationship between Population and CPI with the GDP at statistical significant of 0.01 and 0.10 level respectively. Panel C represented the lnGDP, lnLIC, lnHFCE and lnCPI are positively correlated to the lnHCE that have the statistical significant at 0.01 level. However, there is a negative relationship between lnPop and lnHCE at the statistical significant of 0.01. Last but not least, Panel D showed the lnHCE, lnPop and lnLIC have positive correlation with lnGDP at the statistical significant of 0.01 level except for lnLIC that has no statistical influence. While, there is a negative relationship between lnHFCE and lnCPI with lnGDP at the statistical significant of 0.01 level. Regarding to these findings, this study was supported the previous empirical works as well as presents the several policy implications and recommendations for research improvement in the future. 2017 Thesis https://etd.uum.edu.my/7164/ https://etd.uum.edu.my/7164/1/s819542_01.pdf text eng public https://etd.uum.edu.my/7164/2/s819542_02.pdf text eng public other masters Universiti Utara Malaysia Addo, S. H. (2016). The Relationship between Healthcare Spending and Gross Domestic Product: A Study from a Sample of African Countries (Doctoral Dissertation, Wayne State University). Akinlo, T., & Apanisile, O. T. (2014). Relationship between Insurance and Economic Growth in Sub-Saharan African: A Panel Data Analysis. Modern Economy, 2014. Albouy, V., Davezies, L., & Debrand, T. (2010). Health Expenditure Models: A Comparison Using Panel Data. Economic Modelling, 27(4), 791-803. Alderson, P. (1998). The Importance of Theories in Health Care. BMJ: British Medical Journal, 317(7164), 1007. 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The determinants of health care expenditure: an empirical evidence from Asean countries

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