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In Europe, there has been a significant shift in the movement of people and things. Nonetheless, despite the fact that transportation is an important component of the supply chain, its environmental consequences pose a severe threat to the ecosystem as a whole. As a result, we intend to explore the relationship between transportation, economy, and CO2 emissions. We used the Static method with Pooled OLS, then tested the Granger causality to validate the use of dynamic approach via the GMM system. The major findings revealed that GDP and trade openness had a considerable impact on CO2 emissions. Although the three modes of transportation have different effects on CO2 emissions, road density has a positive and considerable impact on CO2 emissions. The railway network is inversely connected to CO2 emissions. While the quantity of flight passengers has no substantial effect on emissions. In terms of the impulse response function, there is an initial shock in period 2 for the response of air passengers carried to CO2 emissions, followed by convergence back to zero in period 6, whereas road density has a slight decrease in period 2 with a post shock peak in period 4, followed by convergence back to zero in period 5. The variance decomposition results reveal a little increase until the fifth period for road density, air passengers, and trade openness with coefficients equal to 0.0893, 0.636, and 1.573, respectively, after which these three variables offer decreasing coefficients., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

People's sentiments and perceptions of greenhouse gas emission and renewable energy are important information to understand their reaction to the planned mitigation policy. Therefore, this research analyzes people's perceptions of greenhouse gas emissions and their preferences for renewable energy resources using a sample of Twitter data. We first identify themes of discussion using semantic text similarity and network analysis. Next, we measure people's interest in renewable energy resources based on the mentioned rate in Twitter and search interest in Google trends. Then, we measure people's sentiment toward these resources and compare the interest with sentiments to identify opportunities for policy improvement. The results indicate a minor influence of governmental assemblies on Twitter discourses compared to a very high influence of two renewable energy providers amounts to more than 40% of the tweeting activities related to renewable energy. The search interest analysis shows a slight shift in people's interest in favor of renewable energy. The interest in geothermal energy is decreasing while interest in biomass energy is increasing. The sentiment analysis shows that biomass energy has the highest positive sentiments while solar and wind energy have higher interest. Solar and wind energy are found to be the two most promising sources for the future energy transition. Our study implies that governments should practice a higher influence on promoting awareness of the environment and converging between people's interests and feasible energy solutions. We also advocate Twitter as a source for collecting real-time data about social preferences for environmental policy input., (© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

With growing concerns about climate change, global warming and greenhouse gas (GHG) emissions, environmental taxes, renewable energy consumption, and environmental technologies have caught attention from researchers, policymakers, and concerned organizations in developed and developing world. The environmental-related taxes and carbon and energy taxes are considered as effective tool and highly recommended by economists and environmental scientists in developed nations (e.g., European economies). To this end, the current study examines the role of environmental policies and regulations and cleaner energy consumption for GHG emissions across leading emitter countries in Europe. The study used annual data of variables from 1994 to 2018 for nine leading European economies. The empirical estimates of quantile regression, FMOLS, and DOLS revealed that environmental taxes and promotion of cleaner energy sources can be effective to reduce overall pollution efflux. The study reports new implications regarding sustainable development goals.

As a major source of pollution and the cause of climate change, greenhouse gas emissions are attracting the attention of scholars, policymakers, and governors in Europe and the world. This article assesses the impact of population, energy taxes, and energy prices on greenhouse gas emissions from the residential and industrial energy consumption in Europe. The paper establishes a theoretical framework that predicts that rising energy prices and increased energy taxes will reduce residential and industrial GHG emissions. According to this framework, it is expected that the labor force will have an impact on industrial greenhouse gas emissions depending on wages elasticity. Between 2007 and 2017, panel data from 21 European countries were used to test the proposed hypothesis. First, a complete sample test was conducted. The results confirmed the proposed hypothesis. In addition, it was found that the size of the population increased residential greenhouse gas emissions, while the urbanization process reduced these emissions. Next, the sample was divided according to the economic development level. The split sample analysis shows the regional heterogeneity of population factors and energy costs impacts on GHG emissions. Finally, the time-varying coefficient test indicates that during the study period, the negative impact of urbanization has decreased over time, while the positive impact of industrial production on greenhouse gas emissions has increased. We believe this article will contribute to the formulation of environmental policies and provide additional insights for environmentally sustainable development.

This study explored the long-run association among greenhouse gases (GHGs), financial development, forest area, improved sanitation, renewable energy, urbanization, and trade in 24 lower middle-income countries from Asia, Europe, Africa, and America (South and North) by using panel data from 1990 to 2015. Granger causality was tested by Toda and Yamamoto approach. The bi-directional causality was established among urbanization and GHGs (Asia), financial development and forest (Asia), energy use and renewable energy (Asia), renewable energy and forest (Asia), improved sanitation and forest (Asia, Africa, America), urbanization and forest (Asia), and improved sanitation and financial development (Europe). The GHG emission also shows one-way causality is running from financial development to GHG (America), energy to GHG (Asia), renewable energy to GHG (America), forest area to GHG (America), trade openness to GHG (Africa), urbanization to GHG (Europe), GHG to financial development (Europe), GHG to energy use (Europe, Africa, and America), and GHG to trade openness (Asia). On the basis of fully modified ordinary least square and generalized method of moment, the reciprocal relationship of GHGs was observed due to financial development in Asia and Africa; renewable energy in all panels; forest area in Asia, Europe, and America; improved sanitation in Asia, Africa, and America; trade openness in Africa; and urbanization in Europe and America. Policymakers should concentrate on these variables for the reduction in GHGs. The annual convergence towards long-run equilibrium was 50.5, 31.9, and 20.9% for America, Asia, and Africa, respectively.