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The increase in economic activity, particularly in transport, leads to a significant increase in emissions of pollutants, such as ammonia, arsenic and cadmium, at the European Union (EU) level. This can seriously impact human health and, consequently, public health spending. Based on data from 15 European Union countries from 1992 to 2020, a panel co-integration approach is used to study these pollutants' short- and long-term co-movements and per capita health expenditure. The results show a long-term relationship between ammonia, arsenic and cadmium emissions and per capita health spending, as they are panel-cointegrated. Ammonia and cadmium emissions exert a statistically significant positive effect on health expenditure in the short run, and arsenic emissions have a statistically significant positive impact in the long run. The forecast assessment of reductions in health spending resulting from policies to reduce emissions of air, land and water pollutants, such as ammonia, arsenic and cadmium, from the transport sector supports investments in its policies that reduce pressure on health spending. The reduction in annual healthcare expenditure is greater when these reductions are made sooner and more severely. Indeed, varying the reduction in emissions for each pollutant by 10% and 100%, respectively, from the first year for all countries over a 3-year period results in an average annual reduction in health spending of 2.05% and 51.02%, respectively. However, if we wait until the third year, the annual reduction is only 0.77% and 17.63% respectively.

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Policy adjustments can help strike a balance between economic growth and environmental sustainability, which has increasingly been the heart to nations and regions throughout the World. This paper examines how public investment affects economic growth, energy consumption, and CO2 emissions in eight ASEAN countries: Cambodia, Myanmar, Malaysia, Indonesia, the Philippines, Singapore, Thailand, and Vietnam. Extension of a Cobb-Douglas production function and application of panel cointegration techniques reveal bidirectional Granger causation between public investment and both private development and CO2 emissions from 1980 to 2019. Public investment Granger causes energy usage, the opposite does not hold statistically. More findings from pooled mean group estimations show a mean-reversion dynamic that corrects disequilibria by 14% yearly. State investment crowds in private sector growth, energy use, and carbon footprint. It also finds an inverted U-shaped relationship between public investment and energy consumption, and a U-shaped relationship between public investment and CO2 emissions, indicating complex regional interactions. It is suggested the implementation of public investment policies that enrich green infrastructure projects to foster growth while minimizing environmental impacts, and encourage a strategic approach to public investment for prioritizing environmental sustainability and thus, achieving Sustainable Development Goals 7 to 9 and 11 to 13 in this region.

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This study examines the determinants of the ecological footprint of production in European countries from 1992 to 2020. Using partial and semipartial correlation analyses and Bayesian Model Averaging (BMA) approach for the first time, the research identifies key variables affecting ecological footprint. Using Bayesian methods, posterior inclusion probabilities (PIPs) were calculated for each variable's coefficient estimates, revealing their relative importance. Biocapacity, energy consumption, industrialization, financial development, life expectancy, and globalization displayed notably high PIPs, indicating their strong influence on the ecological footprint. In addition, the study employs cointegration tests to examine the long-run relationship between ecological footprint and explanatory variables. The results indicate significant cointegration between these variables across panels, supported by various test statistics. In the Weighted Pooled DOLS estimation, biocapacity, energy consumption, and life expectancy significantly influence the ecological footprint, while industrialization, financial development, and globalization exert a comparatively smaller impact. Researchers and policymakers should consider these determinants for effective sustainable development planning. These findings underscore the intricate interplay of factors shaping the ecological footprint and offer insights for effective policy interventions towards sustainable development.

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The objective of this study is to uncover the nature and strength of the effect that innovations have on CO2 emissions. The main motivation of this research is to offer reliable and credible findings by eliminating some methodical and conceptual shortcomings of the existing papers. The scope of the analysis is examining the innovations-CO2 emissions relationship in a sample of 43 countries in the period from 1991 to 2018. The research is based on the application of hidden panel cointegration theory and the concept of a partially asymmetric cointegration equation. The main findings of the study demonstrate that when innovations grow by 1%, the pattern of their change leads to an increase in CO2 emissions by an average of 0.006%. At the same time, when innovations decline by 1%, their change leads to a reduction in CO2 emissions by an average of 0.001%. Strictly speaking, in the phase of innovations growth, they have environmentally hostile average influence, while in the phase of innovations reduction, their impact is on average environmentally friendly. The average effect of innovations is very asymmetric, because negative environmental impact is about six times stronger than the positive one. Analysis by countries demonstrates that innovations influence varies significantly from country to country. The impact is environmentally friendly in only 32.6% of countries, regardless of whether innovations increase or decrease. In the remaining cases, the influence on the environment is hostile either when innovations grow, when they decline, or in both situations. The main conclusion of this study is that nature of the impact of innovations on CO2 emissions is quite unfavorable, which points to the need for much greater support for green innovations.

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We examined the relationship of carbon dioxide (CO2) emissions with real per capita GDP and energy consumption in the ASEAN region using panel data from 1960 to 2021. We employed various panel unit root tests (IPS, Fisher-ADF, Fisher-PP) and panel cointegration tests (Kao and Pedroni). We find robust empirical evidence supporting the validity of the Environmental Kuznets Curve hypothesis, suggesting the existence of a per capita income turning point (approximately USD 4,808.85) where CO2 emissions and real income begin to decouple. This suggests the presence of an environmentally sustainable economic growth path beyond this threshold. The study highlights the importance of a reduction of fossil fuel use and the adoption of coordinated strategic plans among ASEAN member states to reduce carbon dioxide emissions.

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Gender equality is a critical factor for all ingredients of a healthy society and sustainable development. Therefore, measures to decrease gender inequalities in economic, social, and political life are important for the economic and social development of a society. This study analyzes the influence of education level and economic freedom on gender inequality in emerging markets over the 2000-2020 term through causality and cointegration tests. The results of the causality test uncover a bidirectional causality between education level, economic freedom, and gender inequality. In other words, there exists a mutual interaction among education level, economic freedom, and gender inequality in the short term. Furthermore, the findings of cointegration analysis indicate that education level and economic freedom have a negative impact on gender inequality in the long term, but education level is much more effective on gender inequality than economic freedom in nearly all emerging markets.

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This paper investigates the long-run relationship between health care expenditures (HCE) and income using Canadian provincial data spanning a period of 40 years from 1981 to 2020. We study the non-stationary and cointegration properties of HCE and income and estimate the long-run income elasticities of HCE. Using heterogeneous panel models that incorporate cross-section dependence via unobserved common correlated factors to capture global shocks, we estimate long-run income elasticities that lie in the 0.11-0.16 range. Our results indicate that health care is a necessity good for Canada. These elasticity estimates are much smaller than those estimated in other studies for Canada. We find that HCE and income in Canada are cointegrated and that short-run changes in federal transfers significantly and positively affect HCE.

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Knowing the factors that influence a nation's sporting performance can aid in formulating appropriate policies and plans. This study examines the relationship between gross domestic product, population, total debt, inflation, and trade as a proportion of GDP for eleven Asian nations from 1998 to 2018. Panel unit root tests, cointegration tests, and finally, Fully Modified Ordinary Least Square (FMLOS) were used to examine the relationships between the variables. The panel results revealed that GDP and TRD favorably and significantly impact national sports performance, whereas POP and TD have a negative impact. INF was discovered to have a negligible effect on national athletic performance. Hence, we suggest that Asian nations take appropriate measures to boost national sporting achievements.(AU)

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The study is undertaken to examine international trade and tourism nexus in case of India and SAARC countries. To achieve the objective, panel cointegration is employed over the period of 22 years (1997 to 2018). The results from both first and second generation cointegration tests indicated the existence of long run equilibrium among tourism, export, and import. Albeit there are differences between short-term and long-term associations, the findings from autoregressive distributed lag approach indicates strong long-term linkages between trade and tourism. A possible channel of exports exerting a positive influence on tourist arrival is that the products in foreign markets increase the recognition and image of a country eventually leading to more tourists. Moreover, increased exports are expected to increase business trips further increasing the leisure trips and hence a strong linkage between export and tourism. On the other hand, a possible explanation of positive effect of imports on tourism could be that the destination countries which provide tourists with products according to their home taste encourage tourists to travel to these countries. The findings provided in the paper have strong implications for expanding India's tourism footprint in the region.

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This research studied the impacts of the environmental Kuznets curve and the determinants of economic growth for Visegrad countries from 1990 to 2018. This paper reflects on the effects of renewable and non-renewable energy, urban population, foreign direct investment, economic growth, and carbon dioxide emissions. According to our results, the panel of unit root tests showed that the variables under study are integrated into the first differences. Considering the empirical results for the environmental Kuznets curve, we observe that economic growth is positively correlated with pollution emissions; nevertheless, the squared income per capita is negatively impacted by carbon dioxide emissions. Energy consumption increases carbon emissions, and foreign direct investment confirms the pollution halo hypothesis. Therefore, the econometric results showed that renewable energy consumption promotes regional growth. Consequently, urban population and foreign direct investment positively correlate with economic growth.

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This study evaluates the relationship between industrial development, urbanization and pollution emission in Africa. The IPAT identity was used to examine the impact of industrial development and urbanization on pollution emissions. The validity of the existence of the Environmental Kuznets Curve (EKC) and the Pollution Haven Hypothesis (PHH) was also tested by comparing the econometric results of panel Pool Mean Group (PMG)-based autoregressive distributed lag (ARDL) for the period 1990-2019. The PMG results confirm the validity of the EKC and PHH in the countries under study in the long run when the entire panel was estimated. One of the major contributions of the study is to analyze the impact of urbanization and industrialization on carbon emissions. The results show that an increase in urbanization and industrialization leads to an increase in environmental degradation for the entire panel. This paper presents significant contributions to economic policy, showing that an association exists between industrial development, urbanization and pollution emission in Africa.

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Across several destinations, tourism receipts and the aspects of tourism industry has continued to influence the quality of life of the people as well contributing to the national development and sustainable growth. However, the uncertainties and risks experienced in the tourism industry and other economy sectors have remained the drawback of most economies and destinations. As such, the panel of 20 selected destinations is investigated via the common correlated effect method to examine the nexus of economic policy uncertainty and tourism development over the period 2001-2017. Interestingly, the result established a long term relationship between the economic policy uncertainty index and outbound tourism expenditures. Specifically, the finding revealed that outbound tourism expenditures are affected negatively by the rise of uncertainty in economic policies, thus suggesting instability of economic-related policy is the bane of tourism development in the destinations. This result stands to have important policy guide for especially for tourism-related activities in the panel of 20 selected countries.

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Life expectancy is a significant indicator of public health, life quality, welfare and economic development. Therefore, improvement in life expectancy is among the priority targets of the countries. This paper investigates the effect of economic freedom and educational attainment on life expectancy in the new EU member states, experiencing an institutional, educational, and economic transformation, during the period 2000-2019 by using cointegration and causality tests, because economic freedom and educational attainment can foster the life expectancy through institutional and economic variables such as institutions, governance, sound monetary and fiscal policies, economic growth, innovation, technological development, better living standards and access to superior healthcare services. The causality and cointegration analyses reveal that economic freedom and educational attainment are significant factors underlying life expectancy in the short and long term. However, educational attainment is found to be more effective on life expectancy than economic freedom. The findings have important implications for educational and health policies in analyzed countries. Governments must understand the education-health relationship to be able to develop and promote educational policies that have the potential to improve public health.

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Although studies on the influencing factors of electricity consumption are rich, the focus on the relationship between financial development and electricity consumption is scarce due to the characteristics of financial sector. In fact, the financial development cannot only increase electricity consumption, but also have the spatial spillover effects. Based on the global spatial modeling techniques, the long-term and short-term relationship between financial development and electricity consumption is examined, and the intermediary effect of financial development on electricity consumption through economic growth, urbanization, and industrial structure optimization is also verified. Results show that there is a global co-integration relationship between financial development, economic growth, urbanization, industrial structure optimization, and China's electricity consumption, rather than a local co-integration relationship. When the short-term change of electricity consumption deviates from the equilibrium state, the global error correction mechanism can promote the unbalanced system to return to equilibrium from time and spatial dimension. This study confirms not only the spatial spillover effects, but also heterogeneous influences of financial development on electricity consumption, which provides new evidence to make relevant policies.

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The emergence of a new coronavirus (COVID-19) has become a major global concern that has damaged human health and disturbing environmental quality. Some researchers have identified a positive relationship between air pollution (fine particulate matter PM2.5) and COVID-19. Nonetheless, no inclusive investigation has comprehensively examined this relationship for a tropical climate such as India. This study aims to address this knowledge gap by investigating the nexus between air pollution and COVID-19 in the ten most affected Indian states using daily observations from 9th March to September 20, 2020. The study has used the newly developed Hidden Panel Cointegration test and Nonlinear Panel Autoregressive Distributed Lag (NPARDL) model for asymmetric analysis. Empirical results illustrate an asymmetric relationship between PM2.5 and COVID-19 cases. More precisely, a 1% change in the positive shocks of PM2.5 increases the COVID-19 cases by 0.439%. Besides, the estimates of individual states expose the heterogeneous effects of PM2.5 on COVID-19. The asymmetric causality test of Hatemi-J's (2011) also suggests that the positive shocks on PM2.5 Granger-cause positive shocks on COVID19 cases. Research findings indicate that air pollution is the root cause of this outbreak; thus, the government should recognize this channel and implement robust policy guidelines to control the spread of environmental pollution.

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The last decades have shown that human activities damaged environmental quality and biodiversity. As accepted the need of sustainable development, there should be balance between economic, social and environmental issues in the long term. Ecological footprint is an important indicator that shows how human activities reduce environmental quality among a specific region or country. In addition, human capital is mostly used indicator to estimate economic and environmental development level. In this study, it is aimed to explore the effect of human capital on fishing footprint for 10 Mediterranean Countries during the period 1995-2018. According to empirical evidences, it is concluded that for relatively low human capital level, human capital has negative effect on sustainability and in the relatively high level, it has positive effect on sustainability.

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From the last few decades, the issue of sustainability of the growth process has become the prime objective for most economies. The quality of the environment contributes significantly to achieving the objective of sustainability of the growth process. Therefore, in recent years, the policy of world economies increases its emphasis on growth, prosperity, and opportunities for all with a clean environment. Keeping in this mind, in the present paper, we examined the impact of income, technological innovation, income inequality, and industrialization on the environment quality in Brazil, Russia, India, China, and South Africa (BRICS) during the period 1996-2016. The results display cross-sectional dependency within the panel of BRICS nations. Westerlund's cointegration test verifies a long-run relationship between the concerned variables. The dynamic ordinary least square method (DOLS) exhibits that technological innovation has negative while industrialization has a positive impact on the degradation of environmental quality. The results support the existence of the environment Kuznets curve (EKC) to per capita gross domestic product (GDP). Additionally, the paper evaluates the causal link between the variables by using the Dumitrescu-Hurlin panel causality test, and the outcomes support the existence of feedback hypothesis between environmental quality and GDP per capita, and between environmental quality and income inequality. Based on the findings, innovation-driven industrialization and development with equitable distribution of income can help these economies to attain the objective of sustainability of the growth process.

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This study explores the effects of renewable and nonrenewable energy demand on export product diversification, economic growth, natural resources, human capital, and trade in GCC (Gulf Cooperation Council) countries using data of six countries from 1990 to 2019. The empirical analysis integrates the panel unit root tests (IPS and CIPS), panel quantile regression, and fully modified OLS models. The empirical results confirm that there exists a significant negative relationship between renewable energy and export diversification; signifying that diversification of products will reduce renewable energy. Similarly, when compared to the square of export product diversification, it shows a positive and significant correlation. The empirical findings highlighted the presence of Kuznets's hypothesis between export product diversification, renewable, and non-renewable energy consumption. Furthermore, the findings suggest that natural resources and economic growth may increase overall energy consumption in GCC countries. It implies an important policy suggestion that encouraging export diversification will reduce GCC countries' reliance on oil to meet energy demand.

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In a time of climate change, critically contributed by the increased global energy consumption, energy efficiency comes out as a critical factor in achieving sustainable growth for the countries. Given the fast economic advancement in the BRICS (Brazil, Russia, India, China, and South Africa) countries that have played a vital role in the global economy, energy usage, and climate governance, this study investigates the role of energy efficiency on the environmental quality of these countries. We proxy environmental quality with CO2 emissions, incorporate renewable energy in our models, and estimate the relationship with a long-panel data of 29 years (1990-2018). Our dynamic heterogeneous panel model findings confirm that energy efficiency significantly reduces CO2 emissions or improves environmental quality in the long run and the short run. Besides, we find that renewable energy has a crucial role in enhancing environmental quality in the long run with the negative impact of economic growth activities. Our findings contribute to the literature in a novel way facilitating the comprehension of the role of energy efficiency using a wide range of sophisticated techniques, thus providing robust results. For the policymakers, we humbly advocate strategies for the clean and sustainable economic transition based on our findings which has notable implications for the BRICS, other developing economies, and the world as a whole.

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This study analyzes the relationship between wind energy consumption, coal energy consumption, globalization, economic growth, and carbon emissions. Data from 37 countries for the period 2000-2019 are included in the analysis. To examine the long-term relationship between the variables, the AMG method, which considers the cross-section dependence and slope homogeneity, was used. According to the long-term coefficient estimates of the cointegrated variables, wind energy consumption has a statistically significant and negative effect on carbon emissions in the long run. For example, a 1% increase in wind energy consumption reduces carbon emissions by 0.018%. On the other hand, the variable of globalization has a statistically significant and positive effect on carbon emissions in the long run. A 1% increase in globalization increases carbon emissions by 0.107%. These findings show the importance of wind energy consumption in reducing carbon emissions.

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