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There are ample studies that document the tourism‐led growth for single countries and/or a specific region. The nexus on international tourist arrival‐induced pollutant emissions and energy consumption has been ongoing in the related literature. This is pertinent, given its inherent implications for environmental sustainability. This study explores the growth impact of international tourist arrivals on quality of the environment in terms of a causality relationship for 16 selected Mediterranean countries by a multivariate framework; this is based on tourism‐led growth and the tourism‐induced pollutant emissions model for annual data from 1995 to 2014. Our model, therefore, explores the dynamic causal links between tourism, growth, energy, and the environment. We employ the panel causality technique (Emirmahmutoglu and Kose 2011) that allows for heterogeneity and correlations across cross‐sections. The data shows correlation among international tourism, economic growth, energy consumption, and pollutant emission. The findings from the causality analysis support the evidence on tourism‐induced pollutant emissions and energy consumption as well as the validity of the tourism‐led growth hypothesis. The findings also suggest that international tourism is a catalyst for energy consumption and economic growth, which translates into pollutant emissions, implying insightful policy prescriptions. [ABSTRACT FROM AUTHOR]

Following universal debate for energy sources and sustainable development across the globe, with its far‐reaching implications on the environment, this crusade aligns with the United Nations Sustainable Development Goals (UN‐SDGs). The study variables are based on the SDGs‐7, 8, and 13 that highlights access to clean energy, sustainable economic growth and mitigation of climate change issues. Awareness of environmental sustainability has received much consideration because of the hazards associated with climate change issues in recent times. Studies on environmental quality and pollution emissions (CO2) are becoming increasingly interesting. It is reported that human activities and increasing economic issues resolve environmental‐related challenges. In the light of this, we assess how employment moderates energy consumption and climate change for G7 countries. We utilise panel co‐integration and long‐run regression using dynamic ordinary and fully modified ordinary least squares to institute the magnitude of long‐run elasticity among the outlined variables. Panel heterogeneous techniques are used to detect the direction of causality for the annual data from 1990 to 2016. The empirical result shows a clear significant correlation between variables and the long‐run relationship between pollutant releases and energy utilisation, employment and real output. The study finds an inverse relationship between trade and pollutant emissions, thus suggesting that openness trade mitigates against environmental degradation in the sampled blocs. The causality analysis reveals a bidirectional causality between emissions and employment and a unidirectional causality between emissions, real GDP, energy utilisation and trade. These results have far‐reaching outcomes on environmental fronts and economic growth highlighted in this study. [ABSTRACT FROM AUTHOR]

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]

Inspired by the Sustainable Development Goals (SDGs), this study focuses on the need for responsible and clean energy consumption, climate change mitigation, and sustainable economic growth. To this end, the study investigates the connection between biomass energy consumption, real GDP, investment in the energy sector, and CO2 emissions in the emerging (E7) countries – China, India, Brazil, Mexico, the Russian Federation, Indonesia and Turkey – for the period 2000–2018. The study uses a battery of techniques, namely Pooled Mean Group‐autoregressive distributed lag, ordinary least square, dynamic ordinary least square, Fully Modified Ordinary Least Squares (PMG‐ARDL, OLS, DOLS FMOLS) and causality estimators, to measure the robustness of the conceptualized relationship among the variables of interest. Empirical results show that conventional energy from fossil fuel sources is a driver of CO2 emissions within the E7 economies. On the other hand, biomass energy consumption and investments in the energy sector decrease CO2 emissions. Furthermore, a feedback causality relationship between biomass energy consumption and CO2 emissions is observed. Similarly, a feedback causality relationship is seen between economic growth and biomass energy consumption. Our study's empirical findings reveal that biomass energy consumption mitigated CO2 emissions in the E7 economies that were examined, suggesting the pivotal role for biomass energy consumption in creating an eco‐friendly environment and environmental sustainability. This requires investment from the private sector, stakeholders, and government administrators in cleaner energy technologies initiatives like biomass. © 2021 Society of Chemical Industry and John Wiley & Sons, Ltd [ABSTRACT FROM AUTHOR]

The aim of this present study is to assess the causal link between nuclear energy consumption and economic growth in the United Kingdom using Toda Yamamoto causality and wavelet coherence tests with the objective of responding to the following questions: (a) Does consumption of nuclear energy lead to economic growth in the United Kingdom and/or does economic growth lead to the consumption of nuclear energy sources in the United Kingdom, and (b) if so, why? The findings from wavelet coherence reveal that changes in economic growth lead to changes in nuclear energy consumption in the United Kingdom at different frequencies, especially in the long‐run, and in different periods between 1998 and 2017. In addition, there is a positive correlation between nuclear energy consumption and economic growth between 2002 and 2006 in the short‐run. In this study, we also check the consistency of the findings from wavelet coherence which is confirmed by the outcomes of Toda Yamamoto causality test. Therefore, the present study is likely to attract great interest from the policy‐makers and researchers in this field. At the same time, it is likely to start a new debate. [ABSTRACT FROM AUTHOR]