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The search for more effective policies, choice of optimal implementation strategies for achieving defined policy targets (e.g., cost-containment, improved access, and quality healthcare outcomes), and selection among the metrics relevant for assessing health system policy change performance simultaneously pose continuing healthcare sector challenges for many countries of the world. Meanwhile, research on the core drivers of healthcare costs across the health systems of the many countries continues to gain increased momentum as these countries learn among themselves. Consequently, cross-country comparison studies largely focus their interests on the relationship among health expenditures (HCE), GDP, aging demographics, and technology. Using more recent 1980–2014 annual data panel on 34 OECD countries and the panel ARDL (Autoregressive Distributed Lag) framework, this study investigates the long- and short-run relationships among aggregate healthcare expenditure, income (GDP per capita or per capita GDP^_HCE), age dependency ratio, and “international co-operation patents” (for capturing the technology effects). Results from the panel ARDL approach and Granger causality tests suggest a long-run relationship among healthcare expenditure and the three major determinants. Findings from the Westerlund test with bootstrapping further corroborate the existence of a long-run relationship among healthcare expenditure and the three core determinants. Interestingly, GDP less health expenditure (GDP^_HCE) is the only short-run driver of HCE. The income elasticity estimates, falling in the 1.16–1.46 range, suggest that the behavior of aggregate healthcare in the 34 OECD countries tends toward those for luxury goods. Finally, through cross-country technology spillover effects, these OECD countries benefit significantly from international investments through technology cooperations resulting in jointly owned patents.

The main purpose of this paper is to examine the relationship between financial inclusion and financial stability in South Asian countries.

To measure the financial inclusion, a multidimensional time-varying index is constructed following the Human Development Index method. The long-run relationship between financial inclusion and financial stability is examined by using the panel cointegration test, fully modified ordinary least squares and dynamic ordinary least squares approaches to show the long-run elasticity of explanatory variables on dependent variables. Further, Dumitrescu-Hurlin panel causality test is used to find the direction of causality between financial inclusion and financial stability. Data set is of annual frequency of seven countries for the period from 2004 to 2018.

The empirical findings of this study confirm that financial inclusion has a positive and statistically significant impact on financial stability. These results suggest that South Asian countries can attain long-run financial stability by improving the coverage of financial inclusion. Further, panel causality test shows a unidirectional causality from financial inclusion to financial stability.

The major limitation of the study is the availability of time series data for all important variables. Various socioeconomic variables can be used to measure financial stability, but this study included only the Z-score as the proxy for financial stability. Due to the data constraint, this study is unable to use the time series econometric analysis.

As the study confirms that financial inclusion is one of the main drivers of financial stability, it is suggested that the policymakers should emphasize on financial sector reforms to enjoy financial stability in the long run, especially in developing countries. So governments and policymakers of study countries need to address the issues involved in access to financial services to increase financial stability. Furthermore, it is also important to remove limitations of access to formal financial services for marginalized sections of the society with proper supervisions.

This is a new contribution on the present topic. This study has constructed a new multidimensional financial inclusion index (FII) following the Human Development Index method for South Asian countries based on annual data and using ten indicators of formal financial services related to availability, accessibility and usage. To the best of the authors’ knowledge and information, this is the first study on South Asian countries to construct and apply the new multidimensional FII. Further, the study examines the long-run elasticity of financial inclusion on financial stability employing FMOLS and DOLS approach.

While sustainable development policies are mostly set based on United Nations (UN) geoscheme classification, no study attempts to examine the impact of influential economic variables such as energy consumption (EC) and merchandise exports (ME) on carbon dioxide (CO₂) emission in the UN geoscheme regions. The purpose of this paper is to examine the possible impact of EC and ME on CO₂ emission in UN geoscheme classification regions such as Africa, America, Arab, Asia and Europe.

This paper uses autoregressive distributed lag (ARDL), Pedroni panel cointegration and panel Granger causality methodologies covering an annual panel data sampling period from 1971 to 2014.

The results show that there is bidirectional causality between all three variables in the European and American panel except for the non-causality from CO₂ to EC in the American panel. These findings suggest possible consequences of weaker energy efficiency (even under environmental policy tightening) and strong demand for energy-intensive economic activities in those regions. Developed countries with higher environmental policy tightening (America and Europe) show significant estimates from the chosen tests supporting the Porter hypothesis. EC and ME have a long-run impact on CO₂ emission in American and European panels. The African region has the least environmental impact of pollution from ME.

The ME and EC have a direct significant impact on CO₂ emission in America and Europe. As these causalities, co-integrations and their impacts share a long-run equilibrium relationship, policymakers must design long-term industry policies such as cleaner production techniques focusing on environmentally sustainable practices. Also, it is suggested that the policymakers must ensure that they implement more robust policies and standards for environmental-friendly export production.

This is the first paper that examines the impact of EC and ME on CO₂ emission in UN geoscheme regions. The findings of this paper provide theoretical implications supporting Porter hypothesis and practical implications for policymaking.

A growing amount of micro-data analyses has highlighted the importance of information trails, such as generated by card transactions, for improving tax compliance. Yet, time series evidence indicating a positive effect of card payments on VAT revenue performance has been scarce. This paper revisits the question of the effect of card payments on VAT revenue by using annual and quarterly panel data for the 19 euro area member states, covering the period 2000–2016.

A panel VECM is employed in order to address endogeneity issues and to account for common stochastic trends, which, is shown to be crucial in revealing the anticipated positive effect of card use on the performance of VAT.

The analysis confirms that a higher share of card payments in private consumption increases VAT revenue and the efficiency of revenue collection. Higher gains are estimated for countries with above average self-employment.

The contribution of the paper is twofold. First, to our knowledge it provides the first confirmation of the well-established literature on information trails using aggregate macroeconomic time series in a multi-country setting. Second, it has very timely policy implications, as low-hanging fruit are identified in euro-area economies with much to gain from strengthening the credibility of their fiscal performance, such as Greece.

This study aims to empirically examine the impact of the price structure of two-sided markets on transaction volume and market share (MS) in the context of the Korean credit card industry. The Korean credit card market differs from those in the United States (U.S.) or Europe in terms of transaction structure (i.e. a three-party system in Korea vs a four-party system in the U.S. or Europe) and government policy. In addition to the merchant discount rate and the cardholder annual membership fee rate, the authors included and analyzed exogenous variables to eliminate any endogeneity. Based on the analysis results, the authors found that credit card usage performance (i.e. transaction volume) increases with an increase in the relative price ratio (merchant discount rate ÷ cardholder membership fee rate) paid by merchants and cardholders, provided that the total price (merchant discount rate + cardholder membership fee rate) paid by merchants and cardholders remains constant. Therefore, this study is the first to confirm that the Korean credit card market operated as the theoretical mechanism of a two-sided market during the analysis period. This effect can only be observed in specific cases such as the launch of the so-called “Chief Executive Officer(CEO)-designed card.” When a new CEO takes office in a credit card company and launches a “CEO-designed card,” there is a significant increase in not only card usage performance but MS as well owing to the price structure changes caused by expanding the benefits that customers derive from card use.

European Union (EU) central and eastern economies have gone through a process of structural change since 1989, when the post-communist transition started. This process was afterwards reinforced by the three EU enlargement waves that took place in 2004, 2007 and 2013. Though exhibiting low levels of aggregate productivity, this group of countries joined the EU with higher levels of human capital than the southern member states, an advantage that should have accelerated real convergence towards the EU15. However, evidence to date suggests that the convergence process came to a halt in 2007–2008 when massive capital inflows stopped, highlighting the fragilities of the growth strategies implemented so far. In these peripheral countries, structural change has been characterised by an expanding services sector alongside growing income inequality. The two strands of literature on these issues highlight that: (a) an expanding services sector may not be detrimental for growth, quite the opposite, depending on services composition and on the capacity of services sub-sectors to incorporate information and communication technologies (ICTs); and (b) inequality is negatively related to growth through the fiscal policy, socio-political instability, borrowing constraints to investment in education and endogenous fertility channels and positively through the savings channel and incentives. We analyse the nexus between structural change, inequality and growth in this group of countries highlighting income inequality as a potential mechanism that connects the other two variables. We provide a descriptive quantitative analysis of the profiles of structural change and income inequality in our sample and apply dynamic panel methods to investigate the existence of causality among services sector expansion, inequality and aggregate productivity considering a maximum period between 1980 and 2010.

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 purpose of this paper is to investigate compliance with risk disclosure requirements under International Financial Reporting Standard (IFRS) 7 by Malawian Stock Exchange-listed companies over a three-year period. Specifically, the paper examines the extent and determinants of risk disclosure compliance with IFRS 7.

The study uses a mixed-method approach. The quantitative approach employs the research index methodology and uses panel data regression analysis to examine the relationship between proportion of non-executive directors (NEDs), size, gearing and profitability and the extent of risk disclosure compliance. The results of the panel data regression analysis are triangulated by the qualitative research approach in the form of personal interviews with company managers.

The results indicate that over the three years, the extent of compliance with IFRS 7 is, on average, 40 per cent which is very low. The regression results suggest that NEDs, size and gearing are significantly and positively associated with the extent of risk disclosure compliance under IFRS 7. The results of qualitative approach are mixed since some support and whilst others contradict the regression results.

The sample size is very small which may affect the generalisability of the study.

The use of a mixed-methods approach to examine the determinants of risk disclosure compliance provides additional insights not provided in prior studies. The contradicting results suggest that more research using the mixed approach is required to provide more robust evidence of the determinants of risk disclosure compliance.

Because of the 2008 global financial crisis aftermaths, economic downturn and prolonged recession, several OECD countries have adopted an austerity compound by significantly reducing public health expenditure (PHE) for dealing with their fiscal pressure and sovereign-debt challenges. Against this backdrop, this study aims to examine the responsiveness of PHE to macro-fiscal determinants, demography, as well to private health insurance (PHI) financing.

The authors gather annual panel data from four international organizations databases for the total of OECD countries from a period lasting from 2000 to 2017. The authors apply static and dynamic econometric methodology to deal with panel data and assess the impact of several parameters on PHE.

The authors’ findings indicate that gross domestic product, fiscal capacity, tax revenues and population aging have a positive effect on PHE. Further, the authors find that both unemployment rate and voluntary private health insurance financing present a negative statistically significant impact on our estimated outcome variable. Different specifications and sample periods applied in the regression models reveal how inseparably associated are PHE and OECD's economies compliance on macro-fiscal policies for offsetting public finances derailment.

Providing more evidence on the responsiveness of PHE to several macro-fiscal drivers, it can be a helpful tool for governments to reconsider their persistence on fiscal adjustments measures and rank public health financing to the top of their political agenda. Health systems policies for meeting Universal Health Coverage (UHC) objectives, they should also take into consideration the voluntary PHI institution, especially for economies with insufficient fiscal capacity to raise public health financing.

To the best of knowledge, the impact of unemployment and voluntary PHI funding on public health financing, apart from other macro-fiscal and demographical parameters effect, remains unnoticed in the existing published studies on the topic.

This chapter proposes semiparametric estimation of the relationship between growth rate of GDP per capita, growth rates of physical and human capital, labor as well as other covariates and common trends for a panel of 23 OECD countries observed over the period 1971–2015. The observed differentiated behaviors by country reveal strong heterogeneity. This is the motivation behind using a mixed fixed- and random coefficients model to estimate this relationship. In particular, this chapter uses a semiparametric specification with random intercepts and slopes coefficients. Motivated by Lee and Wand (2016), the authors estimate a mean field variational Bayes semiparametric model with random coefficients for this panel of countries. Results reveal nonparametric specifications for the common trends. The use of this flexible methodology may enrich the empirical growth literature underlining a large diversity of responses across variables and countries.