The aim of the article is to examine the impact of green marketing on consumer behavior in the market for products containing palm oil. The first chapter addresses the theoretical approach—the impact of green marketing on consumer behavior. We considered a questionnaire survey to be the most appropriate method to conduct our research. In order to test our hypotheses, we applied Crosstab and Pearson’s chi-square test. The strength of the relationship between the variables was measured using Cramer’s V. The third chapter presents the research results based on the processed information of 527 obtained datasheets from the respondents. The data were collected from Slovak consumers in the summer of 2021. Hypotheses H1 (There is a significant relationship between the opinion of the consumer regarding purchasing products containing palm oil and the knowledge that the product does contain palm oil.) and H2 (There is a relationship between the consumer willingness to refuse the purchase of certain products if it has negative impact on the environment and the generational group the consumer belongs to.) were approved, however the relationship proved to be weak in both cases. The research makes it clear that the majority of consumers do not spend time reading descriptions on product packaging. It might be helpful for companies to make it clear and visible on the packaging that their product does not contain palm oil, informing the consumer and influencing them with the negative emotional message of the advert. The obtained research results are useful both for the producers and the customers.

Electricity constitutes a significant part of the consumption basket of European households and companies. Since energy products are essential components of almost all products and services, any change in energy prices directly impacts the general price level of those products and services. Therefore, this study aims to conduct a comprehensive analysis of power exchange data between 2019 and 2022. For the analysis, we examined the data of 15 countries. In the research, we compared electricity prices in European power exchanges using the Jaccard similarity index and the overlap coefficient, using the DAM hourly prices between 1 January 2019 and 31 December 2022. We transformed the time series into networks using the visibility graph procedure and compared the networks of the studied countries using the two comparison methods with the degree distribution functions. Our aim is to examine how the market anomalies caused by the COVID-19 pandemic and the Russian–Ukrainian conflict affect European electricity markets and how quickly the repercussions spread across the studied countries’ exchanges, and whether they show persistent or anti-persistent characteristics. The results support that similar market effects significantly influence the pattern of price changes among the countries. The methods forming the basis of the research can provide significant assistance in analyzing market trends and contribute to a better understanding of market processes.

The aim of this study is to examine the factors influencing the electricity consumption of urban households and to prove these with statistically significant results. The study includes 46 small and medium-sized towns in Hungary. The methodology of the study is mainly provided by a model that can be used for this purpose; however, the results obtained with the traditional regression method are compared with the results of another, more complex estimation method, the artificial neural network, which has the advantage of being able to use different types of models. The focus of our article is on methodological alignment, not necessarily the discovery of new results. Certain demographic characteristics significantly determine the energy demand of a household sector in a municipality. In this case, as the ratio of people aged 60 or over within a city rises by 1%, the urban household average energy consumption decreases by 61 kilowatt hours, and when it rises by 1%, the amount of pollutants expelled from urban households’ average energy consumption may decrease by 22.8745 kg. The research area of our paper was greatly influenced by the availability of the statistical data. The results can be used in the planning of urban developments.