The global energy transition represents a pivotal aspect of the pursuit of sustainable development and the reduction of greenhouse gas emissions. The objective of this study was to examine the dynamic relationships between global primary energy consumption and the consumption of individual energy sources (nuclear, oil, coal, natural gas, renewables) from 2011 to 2023. To examine both long-run and short-run relationships between variables, advanced econometric methods were employed, including the Johansen cointegration test and the Vector Error Correction Model (VECM). Furthermore, an Index of Sustainable Energy Transformation (ISTE) was devised to quantify the advancement of the transition to low-carbon energy sources. The analysis confirms the existence of long-term equilibrium relationships between global primary energy consumption and the consumption of individual energy sources. The analysis revealed that renewable energy consumption exerts a considerable influence on primary energy consumption, both in the short and long term. The ISTE index demonstrated a notable increase over the period of 2011 to 2023, indicative of advancement in the global energy transition. The results confirm the existence of a stable long-term equilibrium between global primary energy consumption and the consumption of individual energy sources. The observed increase in the ISTE index indicates progress towards low-carbon energy sources, which has important implications for energy policy and sustainable development. The results can support policymakers in monitoring the progress of the energy transition and shaping policies to accelerate the development of renewable energy sources.

In the years ahead, the majority of the EU member states will be implementing their energy and climate plans. These plans are aimed at fulfilling obligations related to the strategy for the Sustainable and Smart Mobility Strategy and the “Fit for 55” package. The European Commission has presented highly challenging proposals for the decarbonization of the transport sector through electrification and support for innovation. The decarbonization of transport will not be possible without cooperation and mutual understanding between manufacturers, suppliers, and customers, or without proper organization of the transport process itself. High-emission means of transport must be replaced with low-emission ones. In the EU, road transport generates 70% of all transport emissions. There are few scalable decarbonization opportunities in the transport sector. Various kinds of solutions should be promoted, yet at the same time, it is imperative to analyze the current situation and forecast desirable potential future outcomes. By employing optimization theory tools, specifically the SOLVER add-in—an Excel-based optimization tool—the optimum structure of the stock of road transport vehicles in Poland’s commercial road transport sector was searched for. Several research hypotheses were formulated, primarily focusing on the potential for electric vehicles to reduce emissions significantly. These findings suggest a promising outlook for this transition, with particular implications for decision-makers in the field of shaping transport policy. As a result of the conducted analyses and simulations, the hypothesis—that the application of selected elements of optimization theory tools allows us to determine the optimum stock structure of the Polish road transport sector in terms of propulsion system type (emission performance) in the context of pollutant emission targets set for the sector resulting from the EU’s climate policy targets, the European Green Deal, and the EU’s transport policy in terms of decarbonization, taking into account determinants and constraints included in the analysis—was confirmed. An important finding and result is the statement that, in its current state, the Polish road transport sector is not ready for the challenges related to the new goals of climate policy, the European Green Deal, and EU transport policy in the context of decarbonization.

The material developed focuses on the analysis of energy efficiency trends in Poland, utilising ODEX indicators for the sectors of industry, transport, households and in general, from 2011 to 2021. The objective of the study is to assess the progress made in energy efficiency and to forecast future trends in these sectors. The methods employed are based on statistical modelling of time series, taking into account sector-specific energy consumption dynamics. The following techniques were employed: linear regression, cluster analysis to identify patterns of change, statistical hypothesis testing for energy efficiency and simplified autoregressive models. The results demonstrated significant improvements in energy efficiency in the industrial sector, stability of the ODEX indicator in the transport sector and gradual improvements in households and overall. The prediction indicates an upward trend in the ODEX indicator in the short term, suggesting an increase in energy demand. However, it also predicts a decline in the long term, which may indicate the effectiveness of future energy efficiency strategies and investments. Consequently, the necessity for continued efforts to increase energy efficiency and further research into the factors influencing energy efficiency in different economic sectors is emphasised.

The contemporary process of economic development necessitates a heightened focus on matters of sustainability, with a particular emphasis on sustainable energy policy. This is of paramount importance for the protection of the natural environment and the achievement of long-term economic growth. In the context of countries such as the Czech Republic and Poland, which have historically relied on high-carbon energy sources, the transition to a more sustainable energy system represents a significant challenge. The objective of this paper is to undertake a comparative analysis of the trends in energy sustainability in the Czech Republic and Poland from 2017 to 2021, with a particular focus on key performance indicators. The analysis, based on data from the OECD database, revealed notable discrepancies in the rate of change between the two countries, with Poland exhibiting a more pronounced surge in the proportion of renewable energy sources (RES). A Student’s t-test confirmed the existence of statistically significant differences in key indicators between the Czech Republic and Poland, thereby underscoring the diverse challenges that both countries encounter in their pursuit of sustainable energy development. The Granger causality test was employed to ascertain whether variables exhibit temporal relationships that may suggest potential correlations. However, it is important to note that this test does not prove direct causality, but rather indicates that the variables are related at a specific point in time. Interpretation of the results must be undertaken with caution, as the test does not account for the full complexity of relationships between variables, including external factors and structural changes in the economy. Meanwhile, the LMDI decomposition analysis identified the principal drivers of alterations in CO₂ emissions. The findings indicate that, despite advancements in sustainable energy development, Poland and the Czech Republic are confronted with distinctive challenges that necessitate the implementation of tailored policy responses. It is therefore recommended that further investment in renewable energy and the modernisation of energy infrastructure be made in order to achieve long-term sustainability goals.

Summary: Subject and purpose of work: This paper aims to assess the operational efficiency of public higher vocational schools in the Lublin Region. Materials and methods: The assessment was based on the non-parametric method of data envelopment analysis (DEA) using the standard CCR-O model. Results: In most of the analysed models (E, N, O series), the public higher vocational schools in the Lublin Region were found to have improved their efficiency in 2019 relative to 2017. Conclusions: E-series models are very susceptible to changes, both in terms of inputs and effects. This gives the possibility of a significant impact on the increase in the assessment of the effectiveness of investigated units DMUs. N-series models demonstrate the importance of aggregation and quality of source data for the results of performance assessment. Class O models justify the need to look for and compare the use of other DEA model variants in the study of the effectiveness of public higher vocational schools.

The growing interest in cycling as a means of urban transport has led to an increased focus on cyclist safety as a key aspect of urban planning and transport policy. Simulation studies conducted by the International Transport Forum have demonstrated that reductions in CO₂ and other pollutants can be achieved in the context of urban transport, thus realising the goals of decarbonising road transport. The spread of modal transport in cities is a potential reality within the next decade. Bicycles play a significant role in this context. This article presents an analysis of data on accidents involving cyclists. National and international data were analysed to identify the main risk factors. The aim of the paper is to analyse the risk to cyclists with an attempt to identify and map the five biggest risks to cyclists in urban traffic. The aim of the research is to raise awareness of cyclist safety issues and to identify directions for further action to reduce accidents and improve overall road safety. The results of the conducted analyses indicate that the risk for cyclists in road traffic (including urban traffic) has been on a noticeable downward trend over the past five to ten years. This trend allows for the mapping of the most significant types/risks in cycling in urban environments, thereby enabling the implementation of risk management strategies based on the method of risk mapping.