The main objective of the research was to determine the long-term and short-term correlation between CO₂ emissions per capita, energy consumption per capita, and the level of economic growth of GDP per capita in the V4 countries. These countries, being EU members since 2004 and previously being in the sphere of influence of the Soviet Union, have introduced a number of economic reforms, but in the area of climate protection, including decarbonization, they struggle with many problems, as their economies are largely dependent on energy from non-renewable resources. The results of the research are varied, but the authors confirmed, especially in the case of Poland, the long-term correlations between the studied variables. In the short term, such interdependencies also occurred, especially between the level of energy consumption per capita and the level of CO₂ emissions.

The primary objective of this study is to examine the relationships between energy consumption in agriculture from renewable and non-renewable sources and the production levels in the agricultural sector across European Union countries. Additionally, this study aims to identify countries that differ in the development of their agricultural sector in terms of environmental care and to highlight the causes and consequences of these identified disparities. The classification of countries was conducted using the Principal Component Analysis method and a biplot. Panel data for the period 2000–2022, a VAR model, the impulse response function (IRF), and causality tests were used for this study. The results indicate two distinct groups of countries that significantly differ in adopting green agricultural practices. Only seven EU countries stand out for sustainable agriculture with low pesticide use, a significant share of organic farms, and high use of renewable energy in agriculture. Energy consumption affects agricultural production differently in the two groups of countries studied: in countries with sustainable agriculture, an increase in renewable energy consumption translates into a positive increase in agricultural production. On the other hand, an increase in non-renewable energy consumption shows a dampening effect on agricultural production growth, especially in countries with less sustainable agriculture. The results of this study highlight the need to promote renewable energy development in agriculture and raise awareness about the adverse environmental effects of intensive agriculture while emphasising the positive impact of organic agriculture on agricultural production.

This study presents empirical results regarding the relationships between renewable and non-renewable energy consumption, CO₂ emissions, and the GDP within the Visegrád Group (V4) countries. Using FMOLS/DOLS and ARDL approaches, along with causality tests based on the Toda–Yamamoto method, this study explores these relationships at a regional level. The study fills the research gaps for a comprehensive analysis of the indicated relationships in the V4 countries by using both individual and panel models. The findings indicate that renewable energy has a small positive impact on long-term economic growth, with non-renewable energy having a more significant effect. Moreover, CO₂ emissions have a negative impact on economic growth, suggesting an ongoing reliance on non-renewable energy sources and a burden on economic expansion. At an individual country level, the effects vary. Poland, Slovakia, and Hungary exhibit a negative relationship between CO₂ emissions and economic growth. Energy sources also differ in regards to impact: in Poland, the Czech Republic, and Slovakia, non-renewable energy significantly affects economic growth, while in Hungary, renewable energy plays a more substantial role. Causality tests reveal a causal relationship between CO₂ emissions and economic growth in the Czech Republic and Poland, suggesting that CO₂ emissions significantly influence economic expansion. In terms of energy production, renewable energy is causally related to economic growth in the Czech Republic and Slovakia. All countries demonstrate significant causality between non-renewable energy and economic growth. Additionally, a relationship between renewable energy and CO₂ emissions is confirmed in Poland.

The key goal of this research was to figure out the short and long run relationship between environmental degradation caused by carbon dioxide (CO₂) emissions and energy consumption, the level of GDP economic growth, and urbanization in the Visegrad Region countries (V4). The study used data from the years 1996–2020. In the methodological area, ARDL bound test, and ARDL and ECM models were used to determine the directions and strength of interdependence. The results show that in the case of some V4 countries (Poland, Slovakia, and Hungary), changes in the urbanization rate affect CO₂ emissions. Moreover, it was confirmed that the phenomenon of urbanization influences the enhanced energy consumption in the studied countries. In the case of individual countries, these relationships were varied, both unidirectional and bidirectional. Their nature was also varied—there were both long and short-term relationships. These findings suggest that the V4 countries should increase renewable and ecological energy sources. It is also recommended to enhancement energy savings in the areas of both individual and industrial consumption by promoting low-emission solutions. This should be done while considering changes in urbanization.

The Three Seas Initiative (3SI) is still an under-researched area and is particularly important due to historical circumstances and economic backwardness. A study was carried out to assess the impact of renewable energy and production made by the agricultural sector on CO₂ emissions in 3SI countries between 2008 and 2020. The study used panel data analysis based on the two-step system’s generalized method of moments (GMM) and the Dumitrescu–Hurlin panel causality test. The results show that a 1% increase in the value added generated by agriculture increased CO₂ emissions in the countries studied by 0.11%. In contrast, a 1% increase in GDP led to a 0.29% increase in CO₂ emissions. Conversely, when renewable energy consumption increased by 1%, CO₂ emissions fell by 0.25% in the countries studied. One way to reduce CO₂ emissions from agricultural production in the short term is to increase the share of renewables, which incidentally is in line with EU action.

The post-war economic policy of West Germany (FRG) is largely associated with the so-called economic miracle (German: Wirtschaftswunder) and therefore its causes are the subject of many different analyzes. They include the correlation between the rate of economic growth in Germany and the development and transport potential of transport, including rail and road-car transport. This position prompted the author to try to search for long-term interdependencies and thus verify the thesis using the analysis of time series (1950–1989) available for West Germany and using original econometric methods in this field, e.g. unit root test to determine the stationarity and the Engle-Granger cointegration test. In addition to the introduction, the article consists of three parts and conclusions. The broadest one includes the description of the assumptions and stages of the research procedure and its results, both on the empirical and methodological level. It is based on synthetic theoretical foundations presented on the basis of a review of international literature on the subject and review of the essence of the German economic miracle and the main trends in changes in the field of economic growth and transport development in Germany after World War II. The research presented in this way fits into the principles of the new economic history paradigm, which is still not very popular in Europe.