Is energy poverty of Eastern European countries a threat or opportunity in the European Union's fight against climate change?

Energy poverty is a critical global issue that affects millions of people worldwide. The lack of access to reliable and affordable energy services has significant economic and social impacts, including limited opportunities for education, personal development, and economic growth. This paper examines the relationship between energy poverty and economic development in selected countries using the panel quantile methodology. The findings emphasize the importance of addressing energy poverty in order to foster economic growth in the selected country group. In addition, CO2 emissions have a positive effect on economic growth, but policies to reduce fossil fuel consumption can both boost economic growth and mitigate negative environmental impacts. Inflation has a negative effect on economic growth, so policymakers should prioritize measures to control it. Employment has a positive effect on economic growth, so job creation policies should be promoted. The study found that improving access to clean energy can increase economic growth and improve the well-being of citizens in Eastern European countries. Therefore, efforts to reduce energy poverty should be a priority to promote economic development and improve the quality of life.

Testing the EKC hypothesis for the USA by avoiding aggregation bias: a microstudy by subsectors.

The aim of this study is to examine the impact of foreign direct investments, economic growth, and energy consumption on carbon dioxide subcomponents in the case of the USA. Dynamic ARDL (DARDL) econometric method is used covering the period 1972-2020. In addition to the total CO2 emission, the subcomponents of CO2 emission are examined separately within the framework of the EKC hypothesis in the USA by avoiding aggregation bias for the first time. The CO2 emission subcomponents used in the study are as follows; CO2 emissions from liquid fuel consumption, residential buildings, and commercial and public services; electricity and heat production; and other sectors, excluding residential buildings and commercial and public services, and CO2 emissions from transportation. Each CO2 emission component is used as a dependent variable and 6 different models were created. Foreign direct investments, trade, and energy consumption are used as control variables. No results supporting the EKC hypothesis are determined in any model, except for model 1, where total CO2 emission is the dependent variable. In addition, the trade variable has been determined as an important factor in reducing CO2 emissions in the short and long term. Trade and GDP per capita increasing and energy consumption reducing will show positive results in order to increase the environmental quality in the USA. Moreover, the study in which this EKC hypothesis is tested with CO2 emission and its subcomponents is an important study in terms of providing the opportunity to analyze the environmental quality from different angles at the same time and to take various measures together in the US economy.

Which renewable energy consumption is more efficient by fuzzy EDAS method based on PESTLE dimensions?

The facilities that energy delivers to social life and economic activities render it indispensable. Hence, it is equally critical that the energy cycle must have a sustainable structure. Therefore, it is an indisputable fact that developing and performing correct and consistent energy policies is vitally necessary. Energy consumption planning includes a continuous process to reassess existing and potential alternative energy approaches and strategies. The public and private decision-makers in charge of planning and managing energy consumption policies must adapt their strategies to novel and superior alternative resources according to sustainability and efficiency criteria. In this paper, the fuzzy EDAS method is used to address the best renewable energy consumption by taking political, economic, social, technological, legal, and environmental (PESTLE) dimensions into account. The analysis of the paper indicates the most efficient renewable energy consumption is sourced by geothermal, solar, wind, hydroelectricity, and biomass, respectively. By further investigation, it is concluded that the most optimum renewable energy consumption alternatives based on PESTLE dimensions are geothermal and solar energies.