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Organization for Economic Co-operation and Development (OECD) countries have embraced the aim of universal health coverage, as established in Sustainable Development Goal (SDG) 3.8. This goal guarantees access to quality healthcare services without financial hardship or poverty. Additionally, it requires correct and adequate financing sources. A country with weak protection for its population tends to spend less on healthcare and experiences a high share of out-of-pocket payments (OOPs), increasing the likelihood of people falling into poverty. This study aims to understand the relationship and causal effects between macroeconomic and public fiscal conditions and private health expenditure in OECD countries between 1995 and 2019. We retrieved OECD data for 26 OECD countries for the period 1995-2019. Panel AutoRegressive Distributed Lag (PARDL) and panel quantile AutoRegressive Distributed Lag (PQARDL) models were estimated to examine the relationship between private health expenditures and macroeconomic and public fiscal variables. Our results reveal a positive influence of government debt and economic freedom on private health expenditures. They also show a negative influence of the government budget balance, government health expenditures, and economic growth on private health expenditures. These results collectively suggest that public fiscal conditions will likely impact private health expenditures. The findings of this study raise concerns about the equity and financial protection objectives of universal health coverage in OECD countries.

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In the framework of an environmental Kuznets curve, the linkage between shadow economy and carbon dioxide (CO2) emissions was evaluated for 145 countries from 1991 to 2017. In assessing the effect of the shadow economy on CO2 emissions, we used panel quantile regression, panel fixed effects, and panel smooth transition regression as estimation methods. In addition, to deal with parameter heterogeneity, we resorted to the procedure of Lin and Ng (2012). We found two country groups that share homogeneous parameters. No environmental Kuznets curve was found for the set of all countries. Nevertheless, one was found for each of the homogeneous parameter country groups. This result supports different turning points for different groups of countries. Shadow economy contributed to reducing CO2 emissions in group 1 and aggravated it in group 2. Manufacturing was revealed to be statistically significant for the countries of group 1. Fossil fuel rents increased the CO2 emissions, mainly in group 2. Urbanization contributed to the hike of CO2 emissions in both country groups but much more intensely for group 1. Evidence of a tendency for decreasing CO2 emissions was also found, reflecting the efficiency gains over time.

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This research investigates the factors influencing carbon emission intensity in 94 countries during 2018 using two qualitative methods: necessary condition analysis (NCA) and fuzzy-set qualitative comparative analysis (fsQCA). The study covers variables related to economics, human geography, energy, and institutions, showing significant variations among them. The NCA model identifies economic complexity and fossil energy consumption as necessary conditions for high-carbon emission intensity. On the other hand, the fsQCA model reveals sufficient conditions for both high- and low-carbon emission intensity, presenting different causal combinations of variables. For high-carbon emission intensity, nine causal solutions are identified, emphasizing the roles of economic growth, urbanization, fossil energy consumption, and institutional quality. Reducing carbon emission intensity requires addressing economic complexity and reducing reliance on fossil energy consumption. Policymakers should focus on sustainable economic development, environmentally friendly urbanization, and transitioning to renewable energy sources. This research's originality lies in its qualitative approach, going beyond traditional regression methods to explore necessary and sufficient conditions for carbon emission intensity. It offers valuable insights into the complex interplay of variables, providing multiple causal configurations for both high- and low-carbon emission intensity.

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The present study investigates the significant determinants of carbon emissions, namely, GDP, energy consumption, energy price, and energy expenditure, utilizing data of 50 American states from 2005 to 2016. Results obtained from application of OLS with fixed effects and panel quantile regression revealed that the effect of GDP on carbon emissions is negative but significant at all quantiles, energy consumption and energy price have a positive and significant effect on carbon emissions, while the effect of energy expenditure is negative but significant at the upper and lower quantiles, implying that high energy expenditures do not reduce carbon dioxide emission at the US state level. Policymakers should introduce further initiatives, so all the states would implement the climate legislations.

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Environmental innovations play a vital role in reducing air pollution and the number of pollution-related mortality. Most of the previous studies have examined the role of eco-innovations in environmental quality. However, to our knowledge, no study has evaluated the effects of eco-innovation on air pollution as a cause of mortality. For this purpose, this research examines the effect of eco-innovations on premature deaths from indoor and outdoor air pollution in twenty-nine European countries from 1995 to 2019. The Method of Moments Quantile Regression (MM-QR) is used to assess the impacts. The results confirm the heterogeneous effects of the main variables in both models. Both models indicate that eco-innovations reduce premature deaths from outdoor and indoor air pollution, and these effects are more significant in high quantities (75th and 90th). Also, the effect of eco-innovations on reducing mortality due to indoor pollution is more significant than that related to outdoor pollution. Eco-innovation, economic growth, renewable energy consumption, and urbanization reduce premature mortality indoors and outdoors, but CO2 emissions increase this mortality. The results of the Dumitrescu-Hurlin causality test also support that all variables, including eco-innovation and CO2 emissions, have a bidirectional causal relationship with indoor (LIND) and outdoor (LOUT) mortality due to air pollution. Governments and politicians can help mitigate this problem by providing more environmental innovations by increasing support packages and reducing taxes.

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Plant-based diets are often promoted as healthier and more sustainable and thus as a mechanism to achieve the targets proposed to mitigate climate change and noncommunicable diseases. However, plant-based diets can be perceived as more expensive than the common omnivorous diets, when considering the expensive novel meat substitutes and also the higher costs of fruits and vegetables, whose consumption is perceived to increase. Therefore, the present study assesses the question: Do plant-based consumers spend more on food compared to omnivorous consumers? Based on primary data (n = 1040) collected through an online survey, representative of the Portuguese population, through logistic regressions, it was possible to conclude that plant-based consumers, particularly vegan, are associated with lower food expenditures compared to omnivorous consumers. In fact, plant-based consumers are shown to spend less than all other consumers assessed. Food policies aligning healthiness and sustainability with affordability can deliver a major boost for the promotion of plant-based diets and help achieve the mitigation targets proposed.

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The Portuguese National Health System is composed of all public entities offering health services. There has been a successive increase in expenditure in recent years due to various factors that have contributed to a high degree of uncertainty about the evolution of operating costs in Public Business Hospitals. This research's main objective is to study the relationship between operational costs and waiting times as well as costs with healthcare professionals and waiting times in both external consultations and hospital surgeries. Furthermore, we will empirically assess the presence of U-shaped behaviour in both of these two relationships. We have included a sample of 38 hospitals considered in the Portuguese National Health System. We also included, in our analysis, five groups of public business hospitals, according to the Administrative Central Agency of Portugal's Health Service, considering the period between January 2015 and December 2019. To validate the two relationships proposed, the Autoregressive Distributed Lag panel model was used. This study highlights that longer waiting times for external consultation and surgery significantly affect hospital costs and suggest that longer waiting times do not merely increase absence rates. The study also proves that there are long-term effects that last beyond the short-term waiting period.

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The impact of renewable energy consumption on reducing the outdoor air pollution death rate, in nineteen Latin America & the Caribbean countries, from 1990 to 2016, using the econometric technique of quantile regression for panel data, was researched. Results show that economic growth and fossil fuel consumption are positively related to CO2 emissions, while renewable energy consumption bears a negative relationship with it. Furthermore, fossil fuel consumption has a positive impact on the mortality rate and economic growth a negative one. The negative effect of renewable energy consumption on the mortality rate is only observable on the right tail of its distribution. The modelisation reveals two ways in which the consumption of renewable energy can reduce the outdoor air pollution death rates: (i) directly, by increasing renewable energies, and (i) indirectly because the increase in the consumption of renewable energies implies a decrease in the consumption of energy from fossil fuels. The phenomenon of increasing urbanisation is a point where the action of public policymakers is decisive for the reduction of outdoor air pollution death rates. Here, the question is not to reduce the level of urbanisation but to act on the "quality" of urbanisation, to make cities healthier. The research concludes that public policymakers must focus on intensifying the transition from fossil to renewable energies and improving the quality of cities.

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An extensive decomposition analysis was used to research the primary driving forces behind energy-related carbon dioxide emissions per capita for the period 1993 to 2017 in a panel of South American countries. Evidence was found that the effect of per capita renewable productivity was challenging and compromised in South Latin American countries. Decoupling changed from a weak state to a strong decoupling state after the Kyoto protocol. When we remove the renewable productivity per capita effect, the results show that the state of strong decoupling was mainly achieved due to a group of economic drivers, with the negative changes in energy intensity, and in the gross domestic investment, proving to be the most significant contributors to decreasing CO2 emission per capita.

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The Portuguese and the Spanish electricity generation systems are analysed in this paper. The Iberian market has been isolated and has an increasing proportion of renewable sources. The main objective of this study is to understand how electricity generation sources are interacting with electricity wholesale prices. The VAR approach was used because of its high robustness to cope with the endogeneity detected by Granger block Exogeneity tests. To do this, workweek data recorded since the opening of the Iberian market (July 2, 2007) was used. Despite the geographical proximity of the countries and their access to natural resources, the results provide empirical evidence of different modes of interaction in the market. This outcome could be due to the different sizes of the national systems. The Portuguese electricity generating system does not have an extensive structure to share back-up with Spain via conventional sources. Spain's substantial generation structure could be used to provide intermittent back-up generation for Portugal. Considering the similar supply and demand patterns of the Iberian generation systems, their openness to the other markets with different consumption and generation patterns could allow a more rational utilization of the renewables already deployed and, consequently, bring greater efficiency to the Iberian electricity market.

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This article researches the impact of financial openness on environmental degradation in the MERCOSUR countries over the time spanning from 1980 to 2014. The Panel Autoregressive Distributed Lag (PARDL), in the form of Unrestricted Error Correction Model (UECM), was computed with the purpose of decomposing the total effects of variables in their short- and long-run ones. The results of short-run impacts and elasticities of PARDL model showed that the financial openness increases the CO2 emissions both in the short- and in the long-run. Moreover, the results also support that economic growth, consumption of primary energy, and agricultural production are responsible for an increase of emissions in the MERCOSUR countries. Therefore, these empirical findings will help expand the literature that assesses the impact of financial development on the environment. The results also point out to the need of policymakers to change the way the energy mix is financed.

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Australia is the sixth largest country in the world, celebrating its 26th consecutive year without a recession. However, the country is one of the ten largest emitters of greenhouse gases, mainly caused by energy use. As such, Australia is facing a trade-off between economic growth and reducing carbon dioxide (CO2) emissions. This paper empirically analyses the relationship between economic growth and CO2 emissions in Australia, based on annual data from 1965 to 2016, considering the consumption of the fossil fuels oil and coal and renewable energy. This analysis is performed using the environmental Kuznets curve (EKC) and the Decoupling Index (DI). The EKC is assessed by employing the autoregressive distributed lag model. In addition, a robustness check is provided through the vector error correction model, which allows for the employment of the Granger causality test. The results show that in Australia, there is evidence for the EKC hypothesis, and that the country is undergoing increasing relative decoupling. These results mean that economic growth causes CO2 emissions and consequently environmental degradation. To achieve environmental targets and reduce the rate of CO2 emissions while continuing to grow, Australia needs to implement measures and policies to cut CO2 emissions, such as energy demand management and control, energy efficiency, reducing fossil fuel consumption, and investing in renewable energy technology.

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In the last two decades, there has been a rich debate about the environmental degradation that results from exposure to solid urban waste. Growing public concern with environmental issues has led to the implementation of various strategic plans for waste management in several developed countries, especially in the European Union. In this paper, the relationships were assessed between economic growth, renewable energy extraction and greenhouse gas (GHG) emissions in the waste sector. The Environmental Kuznets Curve hypothesis was analysed for the member states of the European Union, in the presence of electricity generation, landfill and GHG emissions for the period 1995 to 2012. The results revealed that there is no inverted-U-shaped relationship between income and GHG emissions in European Union countries. The renewable fuel extracted from waste contributes to a reduction in GHG, and although the electricity produced also increases emissions somewhat, they would be far greater if the waste-based generation of renewable energy did not take place. The waste sector needs to strengthen its political, economic, institutional and social communication instruments to meet its aims for mitigating the levels of pollutants generated by European economies. To achieve the objectives of the Horizon 2020 programme, currently in force in the countries of the European Union, it will be necessary to increase the share of renewable energy in the energy mix.

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The impact of renewable energy policies in carbon dioxide emissions was analysed for a panel of ten Latin American countries, for the period from 1991 to 2012. Panel autoregressive distributed lag methodology was used to decompose the total effect of renewable energy policies on carbon dioxide emissions in its short- and long-run components. There is evidence for the presence of cross-sectional dependence, confirming that Latin American countries share spatial patterns. Heteroskedasticity, contemporaneous correlation, and first-order autocorrelation cross-sectional dependence are also present. To cope with these phenomena, the robust dynamic Driscoll-Kraay estimator, with fixed effects, was used. It was confirmed that the primary energy consumption per capita, in both the short- and long-run, contributes to an increase in carbon dioxide emissions, and also that renewable energy policies in the long-run, and renewable electricity generation per capita both in the short- and long-run, help to mitigate per capita carbon dioxide emissions.

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