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Background Better understanding of the determinants of national life expectancy is crucial for economic development, as a healthy nation is a prerequisite for a wealthy nation. Many socioeconomic, nutritional, lifestyle, genetic and environmental factors can influence a nation’s health and longevity. Environmental degradation is one of the critical determinants of life expectancy, which is still under-researched, as the literature suggests. Objectives This study aims to investigate the determinants of life expectancy in 31 world’s most polluted countries with particular attention on environmental degradation using the World Bank annual data and British Petroleum data over the period of 18 years (2000–2017). Methods The empirical investigation is based on the model of Preston Curve, where panel corrected standard errors (PCSE) and feasible general least square (FGLS) estimates are employed to explore the long-run effects. Pairwise Granger causality test is also used to have short-run causality among the variables of interest, taking into account the cross-sectional dependence test and other essential diagnostic tests. Results The results confirm the existence of the Preston Curve, implying the positive effect of economic growth on life expectancy. Environmental degradation is found as a threat while health expenditure, clean water and improved sanitation affect the life expectancy positively in the sample countries. The causality test results reveal one-way causality from carbon emissions to life expectancy and bidirectional causalities between drinking water and life expectancy and sanitation and life expectancy. Conclusion Our results reveal that environmental degradation is a threat to having improved life expectancy in our sample countries. Based on the results of this study, we recommend that: (1) policy marker of these countries should adopt policies that will reduce carbon emissions and thus will improve public health and productivity; (2) environment-friendly technologies and resources, such as renewable energy, should be used in the production process; (3) healthcare expenditure on a national budget should be increased; and (4) clean drinking water and basic sanitation facilities must be ensured for all people.

Empirical studies have established that financial development is an essential element of economic growth. It has also been established that rising national income has a positive impact on healthcare expenditure. Therefore, an empirical question is whether financial development increases healthcare expenditure for countries at all income levels. This paper examines the relationship between the level of financial development and healthcare expenditure from a global perspective for countries at different income levels for the period of 1995–2014. Common correlated effects mean group approach was employed to account for unobserved heterogeneity and cross-section dependence in the large panel dataset of 159 countries. Additionally, mean group and fixed-effects estimation approaches were used to measure the robustness of the relationship. The association was tested at different levels by sub-grouping countries based on their income. The results indicate that the relationship between financial development and health expenditure is positive and significant. However, the results fluctuate considerably across income levels. The association becomes trivial when income levels rise, with low-income countries showing stronger correlations. Rising incomes and public health expenditure, foster increasing expenditure on health more in countries with a lower level of corruption. Lastly, the statistical outcomes observed are subject to the choice of estimation techniques. Development in the financial sector influences per capita health expenditure positively, however, the association is more prominent for lower-income countries. Policies are proposed to direct the gains from financial development towards healthcare to maximize society's welfare.

PurposeThe purpose of this paper is to explore the drivers of economic growth in South Asia region for the period of 1975–2016 using the World Bank data.Design/methodology/approachPanel corrected standard error (static estimation) approach and one-step system generalised method of moments (dynamic estimation) approach are used.FindingsBoth the static and dynamic estimations indicate that energy use, gross capital formation and remittances are the main drivers of economic growth in South Asian countries. The effects of all these variables are positive and significant. The extent of the effect of energy use is much higher than that of other two variables on the economic growth. A 1 per cent increase in the growth of energy consumption can expedite the gross domestic product growth by approximately 3 per cent in South Asia. However, the key variables, such as trade, government expenditure and foreign direct investment demonstrate no significant effect.Originality/valueThe current research is original in the sense that it investigated the issue with a new data set using improved econometric techniques. Moreover, in South Asia as a whole, this kind of study is totally absent, particularly with panel data of a large number of years. Furthermore, this study has taken into account the problem of heterogeneity and the biases created by cross-section dependence, which were mostly absent in previous studies. Therefore, the findings of this research are new contributions to the existing literature.

The empirical findings on the relationship between gross domestic product (GDP) and health expenditure are diverse. The influence of income levels on this causal relationship is unclear. This study examines if the direction of causality and income elasticity of health expenditure varies with income level. It uses the 1995-2014 panel data of 161 countries divided into four income groups. Unit root, cointegration and causality tests were employed to examine the relationship between GDP and health expenditure. Impulse-response functions and forecast-error variance decomposition tests were conducted to measure the responsiveness of health expenditure to changes in GDP. Finally, the common correlated effects mean group method was used to examine the income elasticity of health expenditure. Findings show that no long-term cointegration exists, and the growth in health expenditure and GDP across income levels has a different causal relationship when cross-sectional dependence in the panel is accounted for. About 43% of the variation in global health expenditure growth can be explained by economic growth. Income shocks affect health expenditure of high-income countries more than lower-income countries. Lastly, the income elasticity of health expenditure is less than one for all income levels. Therefore, healthcare is a necessity. In comparison with markets, governments have greater obligation to provide essential health care services. Such results have noticeable policy implications, especially for low-income countries where GDP growth does not cause increased health expenditure.

Background This paper provides empirical evidence on how the relationship between health expenditure and health outcomes varies across countries at different income levels. Method Heterogeneity and cross-section dependence were controlled for in the panel data which consist of 161 countries over the period 1995–2014. Infant, under-five and maternal mortality along with life expectancy at birth were selected as health outcome measures. Cross-sectional augmented IPS unit root, panel autoregressive distributed lag, Dumitrescu-Hurlin and Toda-Yamamoto approach to Granger causality tests were used to investigate the relationship across four income groups. An impulse response function modelled the impact on health outcomes of negative shocks to health expenditure. Results The results indicate that the health expenditure and health outcome link is stronger for low-income compared to high-income countries. Moreover, rising health expenditure can reduce child mortality but has an insignificant relationship with maternal mortality at all income levels. Lower-income countries are more at risk of adverse impact on health because of negative shocks to health expenditure. Variations in child mortality are better explained by rising health expenditure than maternal mortality. However, the estimated results showed dissimilarity when different assumptions and methods were used. Conclusion The influence of health expenditure on health outcome varies significantly across different income levels except for maternal health. Policymakers should recognize that increasing spending has a minute potential to improve maternal health. Lastly, the results vary significantly due to income level, choice of assumptions (homogeneity, cross-section independence) and estimation techniques used. Therefore, findings of the cross-country panel studies should be interpreted with cautions.

Non-life insurance companies are an important part of the financial system in any country. Constant development and financial sustainability of these institutions is key to foster the rapidly growing economic activities of emerging economies like Bangladesh. This study made an attempt to establish the impact of different firm-specific factors on profitability using the non-life insurance sector in Bangladesh. A thriving insurance industry, especially in the non-life sector, can accelerate economic growth by mobilizing large funds and providing risk-hedging services to economic activities. This paper investigates the temporary and permanent impact of different firm-specific factors on financial performance, using the case of the non-life insurance sector in Bangladesh: one of the fastest growing economies in the world. Using panel data on 16 non-life insurance companies from 1999 to 2014, this paper utilizes both Static Panel Data (SPD) and Dynamic Panel Data (DPD) estimation techniques. For DPD estimation, a Pooled Mean Group (PMG) estimator built on an ARDL Framework that can produce short run and long run impacts separately has been employed. In addition to the average impact generated from static estimations, this paper identifies the significant impact of all variables on profitability in the long-term (those of a permanent nature) while the investment ratio shows some impact in the short-term (those of a temporary nature). The results of the study indicate that the average impact is predominantly derived from the long-term and thus appear to be permanent in nature. Moreover, investment ratio contributes positively to profitability, mostly in the short-term (temporarily) with some effects in the long-term. The findings on liquidity and investment ratio suggest the permanent nature of their impact on profitability in the long-term and, hence, insurers are probably better served investing funds in short-term opportunities (e.g. investing in securities) rather than in long-term ones. Lastly, the empirical results regarding the impact of leverage is not clear, as it shows mixed impact in two different estimations, including the permanent nature of negative impact in the long-term. The non-life insurance companies of Bangladesh should implement strong policies to reduce the faulty underwriting procedures to improve the profitability. This paper offers significant contributions to the literature by separately identifying the 'temporary' and 'permanent' impact of several determinants, thereby producing novel estimations for Bangladesh that may have implications for other emerging economies.

The aim of this study is to investigate the determinants of worker remittance of Bangladesh. Instead of traditional approach of estimating the remittance determinants, here we propose to use foreign macroeconomic indicators as a proxy determinant to avoid endogeneity. We also used panel estimation technique in our study to incorporate country specific heterogeneity of remittance inflow of Bangladesh. According our study any changes in the number of labor force, consumer price index, export, import, government expenditure and devaluation or appreciation of host countries (origin of the remittance income) currency can significantly influence the inward remittance income of Bangladesh.

Background In the literature, measuring health outcomes usually entails examining one dependent variable using cross-sectional data. Using a combination of mortality and morbidity variables, this study developed a new, richer measure of health outcome. Using the health outcome index, this study investigated the impacts of income inequality, levels of ethnic diversity and information and communication technology (ICT) development on health using panel data. Methods Partial least squares regression based on a structural equation model is used to construct a health outcome index for 30 OECD countries over the period of 2004 to 2015 using SmartPLS software. Then, panel corrected standard errors estimation and pooled ordinary least square regression with Driscoll and Kraay standard errors approaches were used to investigate the key determinants of health outcomes. Both methods are efficient when the panel data is heteroscedastic and the errors are cross-sectional dependent. Results Income inequality, level of ethnic diversity and development in ICT access and use have an adverse effect on health outcomes, however, development in ICT skills has a significant positive impact. Moreover, OECD countries with a higher percentage of publicly funded healthcare showed better public health compared to countries where the percentage is smaller. Finally, rising incomes, development of technologies and tertiary education are key determinants for improving health outcomes. Conclusions The results indicate that countries with higher levels of income inequality and more ethnically diverse populations have lower levels of health outcomes. Policymakers also need to recognise the adverse effect of ICT use on public health and the benefits of public healthcare expenditure. Electronic supplementary material The online version of this article (10.1186/s12992-018-0385-2) contains supplementary material, which is available to authorized users.

The paper examines the relationship between financial development and economic growth using panel data for five emerging South Asian countries - Bangladesh, India, Nepal, Pakistan and Sri Lanka. The heterogeneous panel data is collected from the World Bank for the period of 1974 to 2012. Economic Growth is represented by GDP growth rate, and for Financial Development, five major variables have been used: (i) Domestic Credit Provided by Financial Sector, (ii) Total Debt Services, (iii) Gross Domestic Savings, (iv) Broad Money, and (v) Trade Balance. Fixed Effect Panel regression model has been used and Time Fixed Effect, Cross Sectional Dependence, Heteroskedasticity, Serial Correlation and Cointegration have been tested for model fitness. The results indicate that growth of total debt services and domestic savings have significant impact on economic development of these countries. Interestingly, broad money, trade balance and domestic credit have no considerable influence on fostering economic growth which is generally unexpected. The paper places several arguments to explain these results. The study appears to be a first hand examination on the South Asian countries and adds new insight into the existing literature. The findings and discussions presented would be valuable in designing long term financial and macroeconomic policies by these countries.

As is widely acknowledged, the incidence of poverty in India has declined steadily over the last several decades. What is debated, however, is the pace at which poverty has declined and its relationship with India's economic reforms. In particular, a key concern among policymakers and researchers alike is that trade liberalization undertaken in the early 1990s may have slowed the progress made in reducing poverty. In this paper, we update our previous econometric analysis on the links between trade liberalization and poverty reduction in India. By incorporating measures of poverty based on the 2004-05 consumer expenditure survey carried out by India's National Sample Survey Organisation, we are able to sidestep the controversy-ridden poverty measures based on the 1999-2000 survey. Our new results are in line with the earlier ones in Hasan, Mitra and Ural (2007): States, and regions within states, that were more exposed to trade liberalization on account of their employment structures did not experience slower reduction in poverty; on the contrary, to the extent that we find a statistically significant relationship between trade liberalization and poverty reduction, the evidence points to faster poverty reduction in states and regions experiencing greater increases in exposure to trade. Moreover, this relationship is typically stronger in states with more flexible labor regulations, better quality transportation infrastructure, and more developed financial systems.