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The anthropogenic consequences of renewable and non‐renewable energy consumption, economic growth, and air transport have been assessed enormously in the literature. However, given the complexities in many economies of the world today, it is important to reassess the ecological concerns of these factors in light of the Environmental Kuznets Curve framework. Therefore, this current study investigates the global assessment using data from World Bank Development database from 1995 to 2016. Evidence from the method employed, sys‐GMM, revealed that the economic complexities index increases the carbon emission in low‐income groups while it significantly decreases the carbon emission for upper‐middle and high‐income groups. For the combined group, the EKC hypothesis holds, and ECI significantly hampers carbon emissions. For the other variables, it is worthy of note that (1) economic growth contributes to the high carbon contents across the income group especially for low‐income, upper‐middle‐income and high‐income group; (2) the effects of air transport on carbon emission is positive for lower‐middle‐income and high‐income group and negative for the upper‐middle‐income group; (3) the use of coal rents and energy use leads to high release of carbon contents across all the income groups; and (4) a significant increase in the utilization of energy leads to increase in carbon contents except for lower‐income group, it leads to a decrease. From this empirical assessment, vital energy policy directions are suggested. [ABSTRACT FROM AUTHOR]

Governments worldwide have prioritized carbon reduction and neutrality to address the escalating threat of climate change. These goals are in line with the United Nations Sustainable Development Goals (UNSDG-13). These goals stress taking action on climate change to lessen the bad effects of human activities and using fossil fuels for energy. To this end, the present study investigates the connection between conventional energy usage, agricultural practices, economic growth, and their impact on environmental sustainability in South Africa. Additionally, it explores the role of renewable energy consumption and environmental technological innovation in mitigating these effects. To achieve the study objectives, a carbon-income function is fitted with an annual frequency data from 1975 to 2020. The present study leverages on Pesaran's Autoregressive distributed lag (ARDL) method and for robustness analysis the dynamic ARDL simulations method to simultaneously explore the short and long-run coefficients of the study's outlined variables. Empirical analysis, confirmed by bounds testing for cointegration, reveals a long-term equilibrium relationship among the variables considered. Notably, economic growth, fossil fuel energy consumption, and agricultural activities have adverse effects on environmental sustainability in South Africa, indicating a trade-off between economic growth and environmental quality. Dynamic ARDL simulations provide further evidence of an Environmental Kuznets Curve (EKC) phenomenon. However, renewable energy consumption and environmental technological innovation positively influence environmental quality. These findings highlight the imperative for South Africa and its stakeholders to adopt green growth policies and transition to cleaner energy alternatives. • This study explored nexus between environmental pollution, economic growth, and environmental technological innovation in South Africa • Utilisation of Autoregressive distributed lag (ARDL) estimators were employed • Agricultural activities dampens environmental sustainability in South Africa • Green growth policies should be pursued in South Africa energy mix [ABSTRACT FROM AUTHOR]

This study explores the applicability of conventional environmental Kuznets curve (EKC) with an extension for the case of emerging industrialized economies, comprised of China, India, Brazil, Mexico, Russia, Indonesia, and Turkey, for annual time frequency from 1995 to 2016. This study is distinct from that already documented in the extant literature by extending the traditional EKC phenomenon by accounting for the combined impact of institutional quality and renewables in E7 blocs. The countries under review are known to be emerging and still at their scale stage of their growth path. As such, the need to explore the theme is pertinent for stakeholders. Empirical framework is built on second-generational panel econometrics strategies that consist of Augmented Mean Group, Common Correlated Effects Mean Group estimator, Driscoll-Kraay and Dumitrescu and Hurlin Causality analysis, which is superior to first-generation methods. Our study validates the EKC phenomenon in E7, i.e., where emphasis is placed on economic expansion relative to the quality of the environment. The EKC phenomenon is validated by the deteriorating effect of fossil-fuel energy consumption in the bloc. However, renewables are seen as a panacea to reduce pollution emission as renewable energy exerts a negative and statistical relationship with CO 2 emission over the sampled period. Additional results show that weak institution also dampens the quality of the environment in E7. These outcomes are suggestive to policy makers to reinforce their commitment to the quality of the environment in terms of growth and energy transition from fossil fuel to clean energy sources. Further policy prescriptions are presented in the concluding section. • We explore the impacts combined impact of institutional quality and renewables on the environmental quality in E7 economies. • We applied a battery of second-generation panel econometrics methods. • EKC phenomenon is validated in E7 bloc. • Weak institutions dampen the environmental quality of the E7 economies. • Renewables shows strong evidence to improve the quality of the environment. [ABSTRACT FROM AUTHOR]

The present study is in line with the United Nations Sustainable Development Goals (UN-SDGs) that address pertinent global issues. This study focuses on the need for access to clean and affordable energy consumption, responsible energy consumption, sustainable economic growth, and climate change mitigation. To this end, this paper evaluates the relevance of the renewable energy sector on the environmental Kuznets curve (EKC) framework in Portugal, Italy, Greece, and Spain for the period 1995–2015. As an econometric strategy, we adopt the use of panel data over the highlighted countries. In the first step, we apply the unit root test recommended by Levin, Lin, and Chu in conjunction with ADF-Fisher, and Phillips-Perron for robustness and consistency. We found that the variables used in this study are integrated I (1) in the first difference. In the second step, we apply the Pedroni cointegration test, and Kao Residual cointegration test, and we observe that the variables are cointegrated in the long run. The generalized least squares (GLS), the panel fully modified least squares (FMOLS), ordinary least squares robust (OLS), and panel quantile regression are considered in this research. The econometric results validate the assumption of the environmental Kuznets curve, i.e., and there is a positive correlation between income per capita and a negative effect of squared income per capita on carbon dioxide emissions. In contrast, we observe that renewable energy reduces CO2 emissions. Finally, we also find a direct connection between the urban population and the environmental degradation in the examined blocs. These results show that in Portugal, Italy, Greece, and Spain, more is required to achieve environmental sustainability in the respective countries growth trajectory. Further policy prescriptions are appended in the concluding section of this study. [ABSTRACT FROM AUTHOR]

The European Union (EU) is one of the strongest, but most complex unions in the world with a competitive tourism industry. The aim of this study, therefore, is to account for economic complexity index (ECI), Brexit and other crisis episodes in the growth-energy-emissions nexus. Theoretically, the traditional Environmental Kuznets Curve (EKC) model is assessed by adopting a One-step System Generalized Method of Moment (Sys GMM) on data for 26 EU member states over the period from 1995 to 2018. For the first time, an EU-macro regional analysis is conducted with and without the UK. Empirical results reveal that an increase in tourism, real GDP per capita, and energy use across the four EU macro regions leads to increase in carbon emission. In some regions, it was observed that tourism, ECI, Brexit, and the Greece bailout have no significant impact on carbon emission. This suggests that the increase in international travel, complexity of the economy, and financial crisis do not accelerate environmental crisis in such regions. However, where such factors are statistically significant, Brexit and the Greece bailout crisis both heighten emissions. Particularly, when the UK is excluded, Brexit and the Greece bailout crisis increase and reduce emissions, respectively. The EKC hypothesis, however, holds in either scenario. Based on these empirical findings, vital policy directions are suggested for a post-Brexit EU-UK energy and environmental relations. • We examined ECI, Brexit and other crisis episodes in the growth-energy-emissions nexus. • An increase in tourism, real GDP per capita, and energy use lead to increase in carbon emission. • In some regions, tourism, ECI, Brexit, and the Greece bailout have no significant impact on carbon emission. • When the UK is excluded, Brexit and the Greece bailout crisis increase and reduce emissions, respectively. [ABSTRACT FROM AUTHOR]

The emerging industrialized seven (E7) economies are not excluded from the global warming issues which is a major problem for most economies. The E7 member countries have partaken in policies to mitigate against global warming in terms of decoupling CO 2 emission from economic growth trajectory in the highlighted economies. It is on this premise that the present study is motivated to consider the connection among economic growth, pollutant emissions, coal rent while accounting for the role of other co-variates such as CO 2 damage and energy from a nuclear energy source, oil gas energy between 1990 and 2016 on an annual frequency. This study adopts the use of panel ordinary least squares alongside panel quantile regression to explore the coal rent-energy and environment nexus. The empirical result shows a positive and significant effect of both real GDP and coal rent on CO 2 emissions. More precisely, a 1% increase in GDP growth increases pollution emission by 0.400% while for coal rent, an increase in coal consumption dampens environmental quality by 0.088% as reported by the panel regression which is resonated by the quantile regression estimations at different tails of the data. Nevertheless, we observe that 0.95 percentile GDP growth strongly contributes to environmental pollution while at the median tail i.e. 0.5 percentile renewable energy consumption dampens the adverse effect of environmental degradation. Additionally, renewable energy, on the other hand, was found a negative and significant impact on CO 2 emissions in E7 countries as a 1% increase in renewable energy consumption improves environmental quality by 0.588% Moreover, the estimated results indicate that regulation of coal consumption through the rent in addition to the cost of carbon damage will further increase the CO 2 emissions in E7 countries. This study implies that putting stringent regulations on coal consumption as it concerns the increasing cost of carbon damage will not be of help to environmental sustainability within the E7 economies. The adoption of renewable energy consumption, nuclear energy, oil energy will reduce CO 2 emissions in E7 countries. Thus, suggesting a paradigm shift for low-carbon energy sources which are more environmentally friendly. [Display omitted] • We explore the nexus between renewables, nuclear, coal, oil, gas energy on CO 2 emission in E7. • Coal rent and renewable energy decreases CO 2 emission in E7 countries. • Energy diversification in the E7 countries can abate global dwindling energy market. • Environmental sustainability is obtained by decoupling CO 2 emission from economic growth. [ABSTRACT FROM AUTHOR]