The impact of battery electric vehicles (BEV) on energy consumption was researched modeling energy consumption against BEVs, Gross Domestic Product (GDP) and e-commerce, using annual data from 2010 to 2020, for twenty-nine European countries, with quantile regression and OLS with fixed effects econometric techniques. It was found that GDP and e-commerce impact energy consumption positively, and BEVs reduce energy consumption. These findings support that efficiency gains could not reduce energy consumption, and e-commerce, via extra packaging, further usage of computer processors, and cryptocurrencies to purchase products are hampering the environment. BEVs were revealed to be more energy-efficient than conventional cars. Thus, energy conservation policies to combat global warming and climate change arise. First, policies should offer an alternative packaging system to lower the negative environmental impacts of additional packaging for online purchases, stimulate smaller packages, free up additional space on the transport, enhance the delivery system efficiency, and promote alternative delivery systems. Second, offering subsidies for purchasing BEVs or tax rebates will increase the adoption rate of electric vehicles and combine this policy with the CO₂ emissions’ regulations to stimulate the demand for BEVs. Finally, affordable charging points should be provided and customer awareness of the benefits of BEVs should be improved.

This research analysed the effect of gender inequality on the economic growth of seventeen countries in the Latin America and Caribbean (LAC) region from 1990 to 2016 using an ordinary least squares (OLS) regression model with fixed effects and a quantiles via moments model. Electricity consumption from new renewable energy sources, general government capital stock, private capital stock, trade openness, and urban population were used as control variables, and a battery of preliminary and post-estimation tests were conducted to guarantee the adequacy and suitability of both methodologies. The OLS model with fixed effects supports that gender inequality negatively affects gross domestic product (GDP) per capita. The quantiles via moments (QvM) model confirms the results of the OLS model with fixed effects and reveals that with increasing quantiles (25th, 50th, and 75th), gender inequality leads to decreases in LAC countries’ growth. LAC countries’ policymakers and institutions should improve gender equality to reach a higher development level and a more prosperous society. Developing policies that contribute to increasing women’s participation in the labour market, reducing the gender pay gap, supporting women’s education and training, constructing a more women-friendly and less patriarchal society, and developing measures to limit violence against women and early pregnancy and maternal mortality rates and increase women’s decision-making positions, particularly in public policy decision making, must be implemented.

Natural gas has returned to prominence in the agenda of European countries since the beginning of the invasion of Ukraine by Russia in 2022. However, natural gas is a fossil source with severe environmental implications. This paper aims to verify the impact of natural gas on carbon dioxide (CO₂) emissions for a European panel from 1993 to 2018 for sixteen countries. An Autoregressive Distributed Lag (ARDL) model in the form of an unrestricted error correction model was used to identify the short-run impacts, the long-run elasticities, and the speed of adjustment of the model. The results indicate that in the short-run, natural gas has a negligible impact on CO₂ emissions when faced with oil consumption (6.7 times less), whereas the consumption of renewables and hydroelectric energy proved to be able to decrease the CO₂ emissions both in the short- and long-run. The elasticity of oil consumption is lower than the unit, indicating that efficiency gains have been achieved during the process of the energy transition to clean energy sources. If economies use non-renewable energy, governments must continue to prefer natural gas to oil. Renewables and hydroelectric consumption must be used to revert the path of CO₂ emissions. Given the unstable scenario that has been caused by the War in Eastern Europe, politicians should focus on accelerating the transition from fossil to renewable energies.

For centuries pilgrimages are present in Christianity. For Catholics, the importance of devotions and visits to the Marian sanctuaries is indisputable. The number of visitors and pilgrims to these temples make the local economy an important destination of religious tourism. In order to understand the economic determinants of religious tourism, two sanctuaries were studied, namely, Aparecida (Brazil) and Fatima (Portugal). Given the large collection of statistical information of the Portuguese Sanctuary, it was verified through the Vector Autoregressive model that Gross Domestic Product and Unemployment have a causal unidirectional relation with the pilgrimages. The Autoregressive Distributed Lag model revealed that an increase in Gross Domestic Product and international arrivals in the short term positively impacts the number of pilgrims. Through the Ordinary Least Squares regression, significant statistical relationships between climatic factors (rain volume and average temperature) and visitors in the Sanctuary of Fatima were found. The Seasonal Autoregressive Integrated Moving Average forecast method was applied to the number of monthly visitors to the Sanctuary of Aparecida and to the number of pilgrims in the Sanctuary of Fatima, the results show a strong seasonality and that the first and last months of the year are periods of low demand. The results of this study allow a new look at religious tourism in the Marian context, the empirical results allow those responsible for establishing public policies, tourism agents and the administration of the Sanctuaries to direct their actions. Measures planned and executed jointly between the various agents can benefit residents, visitors, pilgrims, the tourism sector, the local economy and the Sanctuaries themselves.