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The tourism sector makes a sizable contribution to a country’s gross domestic product, increasing employment opportunities, foreign currency earnings, and economic diversification strategies. This paper uses the Environmental Kuznets Curve (EKC) model to analyze the effects of tourism on the environment in the world’s top 10 tourist countries from 1972 to 2021. Panel cointegration and second-generation unit root tests are suggested due to the presence of cross-sectional dependence and slope heterogeneity. A cross-sectional-autoregressive-distributed lag (CS-ARDL) model is applied to evaluate the marginal influence of environmental variables other than tourism on carbon dioxide (CO2) emissions. These variables include fossil fuels, renewable energy, and nuclear energy. For the purpose of testing robustness, both the augmented mean group (AMG) and the common correlated effects mean group (CCEMG) estimators are employed. The CS-ARDL supports the EKC hypothesis in the short run and long run, but it is not significant in the short run. The existence of EKC demonstrates that rising income leads to fewer CO2 emissions. All forms of environmental degradation can be accelerated by using fossil fuels. The results of this study indicate that CO2 emissions can be reduced by using renewable energy and nuclear energy. A rise in tourism activity has a positive impact on environmental quality. The best-attended tourist spots around the globe are those that, in the long run, implement clean energy-related technology and promote ecotourism.
Rahman et al. (Wed,) studied this question.