Search results

This chapter attempts to study the long-term determinants of public and private healthcare expenditure in Hong Kong, by employing time series data over the period from 1990 to 2017. We find that income is not a determinant of either public or private spending per capita on healthcare services. Rather, a higher proportion of elderly will raise public expenditure on health and private spending even more. The share of children within the population will conversely decrease both public and private spending. Results also show that the rising density of doctors decreases both public and private per capita healthcare spending, showing that the supplier-induced demand problem is not an issue in Hong Kong.

The empirical analysis dealt in this paper emphasizes on the impact of military expenditures on out of pocket (OOP) healthcare payments. A sizeable body of defence economics literature has investigated the trade-off between military and public health expenditure, by testing the crowding-out or growth-stimulating hypothesis; does military expenditure scaling up crowd-out or promote governmental resources for social and welfare programs, including also state health financing?

In this study, panel data from 2000 to 2018 for 129 countries is used to examine the impact of military expenditure on OOP healthcare payments. The dataset of countries is categorized into four income-groups based on World Bank's income-group classification. Dynamic panel data methodology is applied to meet study objectives.

The findings of this study indicate that military expenditure positively affects OOP payments in all the selected groups of countries, strongly supporting in this way the crowding-out hypothesis whereby increased military expenditure reduces the public financing on health. Study econometric results are robust since different and alternative changes in specifications and samples are applied in our analysis.

Under the economic downturn backdrop for several economies in the previous decade and on the foreground of a potential limited governmental fiscal space related to the Covid-19 pandemic adverse economic effects, this study provides evidence that policy-makers have to adjust their government policy initiatives and prioritize Universal Health Coverage objectives. Consequently, the findings of this study reflect the necessity of governments as far as possible to moderate military expenditures and increase public financing on health in order to strengthen health care systems efficiency against households OOP spending for necessary healthcare utilization.

Despite the fact that a sizeable body of defence economics literature has extensively examined the impact of military spending on total and public health expenditures, nevertheless to the best of our knowledge there is no empirical evidence of any direct effect of national defence spending on the main private financing component of health systems globally; the OOP healthcare payments.

The fundamental concern of this research study is to learn the quality and efficiency of US healthcare services. It seeks to examine the impact of quality and efficiency on various stakeholders to achieve the best value for each dollar spent for healthcare. The study aims to offer insights on quality reformation efforts, contemporary healthcare policy and a forthcoming change shaped by the Federal healthcare fiscal policy and to recommend the improvement objective by comparing the US healthcare system with those of other developed nations.

The US healthcare system is examined utilizing various data on recent trends in: spending, budgetary implications, economic indicators, i.e. GDP, inflation, wage and population growth. Process maps, cause and effect diagrams and descriptive data statistics are utilized to understand the various drivers that influence the rising healthcare cost. A proposed cause and effect diagram is presented to offer potential solutions, for significant improvement in US healthcare.

At present, the US healthcare system is of vital interest to the nation's economy and government policy (spending). The US healthcare system is characterized as the world's most expensive yet least effective compared with other nations. Growing healthcare costs have made millions of citizens vulnerable. Major drivers of the healthcare costs are institutionalized medical practices and reimbursement policies, technology‐induced costs and consumer behavior.

Reviewing many articles, congressional reports, internet websites and related material, a simplified process map of the US healthcare system is presented. The financial process map is also created to further understand the overall process that connects the stakeholders in the healthcare system. Factors impacting healthcare are presented by a cause and effect diagram to further simplify the complexities of healthcare. This tool can also be used as a guide to improve efficiency by removing the “waste” from the system. Trend analyses are presented that display the crucial relationship between economic growth and healthcare spending.

There are many articles and reports published on the US healthcare system. However, very few articles have explored, in a comprehensive manner, the links between the economic indicators and measures of the healthcare system and how to reform this system. As a result of the US healthcare system's complex structure, process map and cause‐effect diagrams are utilized to simplify, address and understand. This study linked top‐level factors, i.e. the societal, government policies, healthcare system comparison, potential reformation solutions and the enormity of the recent trends by presenting serious issues associated with US healthcare.

This study aims to investigate the consequence of the quality of governance (QoG) in moderating the effect of healthcare spending on human development.

The authors employ a two-step Windmeijer finite sample-corrected system-generalized method of moments (sys-GMM) estimation technique on a panel dataset of 161 countries from 2005 to 2019. The authors use healthcare expenditure as the main explanatory variable and the Human Development Index (HDI) as the dependent variable and also consider voice and accountability (VnA), political stability and absence of terrorism (PSnAT), governance effectiveness (GoE), regulatory quality (ReQ), rules of law (RLaw) and control of corruption (CoC) dimensions of governance indicators as proxies of good governance. The authors develop a new measure of good governance from these six dimensions of governance using principal component analysis (PCA).

The authors empirically revealed that allocating more healthcare support alone is insufficient to improve human development. Individually, PSnAT has the highest net positive effect on health expenditure that helps to increase human welfare. Further, the corresponding interaction effect between expenditure and the Good Governance Index (GGI) is negative but insignificant for low-income countries (LICs); negative and statistically significant for sub-Saharan African (SSA) economies and positive but insignificant for South Asian nations.

This study is an in-depth analysis of how governance impacts the effectiveness of healthcare expenditure to ensure higher human development, particularly in a large panel of 161 countries. The authors have developed a new index of good governance and later extended the analysis by separating countries based on the income level and geographical location, which are utterly absent in existing literature.

The purpose of this paper is to examine how political regimes and political transition affect government decisions to allocate budgets to the public health sector in Southeast Asia.

Ordinary least squares with fixed-effects model is adopted to examine the effect of political regime on public health spending.

Examining the allocation of public health budgets in Southeast Asian countries, the paper finds that a democratic government positively leads to an increase in public health budget allocation, while autocratic government negatively affects the allocation of public health budgets. Further, political liberalization contributes to an increase in budget allocation to the public health sector.

Democratic politics and economic development aim to distribute public resources to social policy, such as policy on public health.

This essay explores the relationship between neo-liberal transformation in Central and Eastern Europe (CEE) and globalization in the region. It starts with an overview of the increasing level of globalization activities in the CEE countries. The first section of this essay also shows remarkable cross-country diversity among the CEE countries regarding the extent to which their citizens participate in four aspects of globalization, outbound tourism, citizens working abroad, students studying abroad, and internet use. The second section of the essay identifies three ways in which neo-liberalism could affect citizens’ participation in globalization activities. A direct impact of neo-liberalism on globalization could be expected through the spread of similar neo-liberal economic policies and practices in CEE, which would then create the conditions for making citizens in the region more likely to get involved in globalization. Indirectly, neo-liberalism is expected to (1) increase self-reliance among citizens and (2) reduce the level of government spending on social programs, such as education and health care, thus creating less attractive social conditions in each country. The analysis in section three of this essay shows conflicting evidence about the linkages between neo-liberalism and globalization in Central and Eastern Europe. Increased labor-flexibility, one of the most pronounced aspects of neo-liberalism, is associated with reduced participation in globalization activities. The indirect impact of neo-liberalism, however, is quite pronounced. Neo-liberalism is positively associated with the extent of self-reliance among the CEE citizens, yet it also leads to reduced government spending on healthcare and education. Both reduced reliance on the state and reduced spending for these programs, on the other hand are associated with an increase in globalization activities of CEE citizens.

The purpose of this paper is to examine the determinants of health expenditure at the household level in Nigeria with specific focus on the household and individual unique characteristics. It presents some stylised facts about the Nigerian health system and its financing options. It went further to show that household is the major financial organ of healthcare in Nigeria. The study aims to expand the domain of household health expenditure by analysing at national, urban and rural levels.

It adopted Engel curve approach, which was estimated using ordinary least squares technique. The model was structured to take care of life-cycle implications by examining effects of age in years and age groups (0-9, 10-19, 20-39, 40-59 and 60+) on healthcare spending. Data were drawn from the 2010 Harmonised Nigeria Living Standards Survey (HNLSS) conducted by the National Bureau of Statistics and analyses were conducted nationally, for urban and rural locations.

The result shows that individual characteristics like age, religion, education and household characteristics like income, size and headship commonly influence healthcare expenditure in Nigeria significantly. The household-level variables possess stronger significant effects among the rural households while marital status and employment had differential effects in both urban and rural locations. It also confirmed that Nigeria engages in intergenerational transfer of healthcare by the working population to the young and older generations.

HNLSS was only limited to those who were sick or injured in the last two weeks preceding the survey, leaving out those whose sickness preceded the two weeks before the survey. Also, the scope of health expenditure is limited to curative care spending that exclude expenses on preventive care, rehabilitative care as well as other cost-saving services.

This paper fulfils an identified need to examine the determinants of household health expenditure at the national, urban and rural locations.

Equity in access to and use of healthcare resources is a global development agenda. Policymakers’ knowledge of the sources of differences in household healthcare spending is crucial for effective policy. This paper aims to investigate the differences in the determinants of household healthcare expenditure across space and along selected quantiles of healthcare expenditure in Ghana. The determinants of rural-urban healthcare expenditure gap are also explored.

Data was obtained from the sixth round of the Ghana Living Standards Survey (GLSS 6) conducted in 2013. An unconditional quantile regression (UQR) and a decomposition technique based on UQR, adjusted for sample selection bias, were applied.

The results indicate that differences in the determinants of household healthcare expenditure across space and along quantiles are driven by individual-level variables. Besides, the rural-urban health expenditure gap is greatest among households in the lower quantiles and this gap is largely driven by differences in household income per capita and percentage of household members enrolled on health insurance policies.

The findings show that there are differences in the determinants of household health expenditure along with the income distribution, as well as between rural and urban localities, which would call for targeted policies to address these inequalities.

In this paper, the authors assess the responsiveness of OOP healthcare expenditure to macro-fiscal factors, as well as to tax-based, SHI, mixed systems and voluntary PHI financing. Although the relationship between OOP expenditure, macroeconomy, aggregate public and PHI financing is well documented in the existing empirical literature, little is known for the impact of several macro-fiscal drivers and the existing health financing arrangements associated with voluntary PHI on OOP expenditure.

The authors gather panel data by applying three official organizations’ databases. They elaborate static and dynamic panel data methodology to a dataset of 49 European and OECD countries from 2000 to 2015.

The authors’ findings do not indicate a considerable impact of GDP growth and general government debt as a share of GDP on OOP payments. Unemployment rate presents as a positive driver of OOP payments in all three compulsory national health systems post to the 2008 economic crisis. OOP payments are significantly influenced by countries’ fiscal capacity to increase general government expenditure to GDP in SHI and mixed health systems. Additionally, study findings present that government health financing, irrespective of the different health systems structure characteristics, and OOP healthcare payments follow different directions. Voluntary PHI financing considerably counteracts OOP payments only in tax-based health systems.

In the backdrop of a new economic crisis associated to the COVID-19 epidemic, health policy planners have to deal with the emerging unprecedented challenges in financing of health systems, especially for these economies that have to face the fiscal capacity constraints owing to the 2008 financial crisis and its severe recession.

To the best of authors’ knowledge, there is no empirical consensus on the effects of macro-fiscal parameters, different compulsory health systems financing associated with the parallel voluntary PHI institution funding on OOP expenditure, for the majority of European and OECD settings.