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This paper deals with a quantitative assessment of the production efficiency of the forestry sector in EU countries, which is largely neglected in the literature. Only a few studies have been conducted so far, processing data mainly in the first half of the last decade. In contrast to these studies, in this article we focus on the period between 2016 and 2020. Therefore, the main objective of this paper is to compare the efficiency of the forest sector to fill the gap. The empirical results of this study show that the leaders in this sector are Germany, Finland, and the Czech Republic. These countries are fully efficient throughout the period under review. In contrast, Bulgaria lags far behind, with an efficiency score typically around 35%. The results of the cluster analysis show that although countries have similar characteristics, their efficiency scores are not necessarily at the same level.

This article assesses the production efficiency of automotive sector companies in the V4 countries. The automotive sector has undergone dramatic changes in recent years, and its future development is still unclear. The assessment of company efficiency thus represents an important tool that could support decision-making on the future of this sector. Unfortunately, comprehensive studies based on micro-data on companies are not yet available. This article evaluates production (technical) efficiency based on accounting data of individual companies in the V4 countries using the parametric method of stochastic frontier analysis. In these analyses, efficiency is examined not only from the point of view of a country but also with respect to the size of a company. The empirical results show that not only country but also the size of a company are factors that have a statistically significant effect on company efficiency. Small companies struggle to keep up with their competitor and in general have the lowest efficiency ratings.

This article deals with the assessment of the technical efficiency of the automotive industry in European countries. Unlike other studies, the paper will focus on international comparisons of efficiency while taking account company size. The analysis is thus based on the accounting data of individual companies. The content of the analysis covers the period between 2015 and 2019. In total, companies from 20 European countries shall be analysed. The results show that the level of efficiency in this sector is related to the size of the enterprise. In general, small enterprises turn out to be the least efficient. However, there is also a difference in the level of efficiency in the different size groups of enterprises depending on their geographical location, where in general, irrespective of the size category, Ukrainian enterprises appear to perform worst.

This article deals with determining statistically significant factors affecting the sale of battery electric vehicles in different European countries. Typical representative countries were selected on the basis of cluster analysis. The input data for multiple regression models and vector autoregressive models include data for the last decade and thus essentially cover the complete history of the electric car market. Attention is paid not only to the European leader but also to countries with a lower share of electric cars. The results of this study show the existence of a common factor in the countries with different development trends in the battery electric vehicle market. However, differences among individual countries are generally so significant that the identified factors vary from country to country.