This paper aims to indicate the linkages between crude oil prices and selected food price indexes (dairy, meat, oils, cereals, and sugar) and provide an empirical specification of the direction of the impact. This paper reviews the fuel–food price linkage models with consideration to the time series literature. This study adopts several methods, namely the Augmented Dickey–Fuller test, Granger causality test, the cointegration test, the vector autoregression model, and the vector error correction model, for studying the price transmission among the crude oil and five selected food groups. The data series covers the period between January 1990 and September 2020. The empirical results from the paper indicate that there are long-term relationships between crude oil and meat prices. The linkage of crude oil prices occurred with food, cereal, and oil prices in the short term. Furthermore, the linkages between the analyzed variables increased in 2006–2020.

Logistics has become one of the most important economic sectors. It significantly affects the transport infrastructure and many other sectors that are crucial for the country’s development. It is the factor that also influences trade efficiency. However, the question arises if logistics performance is significant for the trade of critical goods which are energy raw products. The aim of the paper is primarily to investigate the EU energy trade flows in general and to estimate the effect of logistics performance on the international trade of energy raw products. The energy raw products are grouped into solid, liquid, and gaseous products, and separate estimates are made for their export and import. The analysis also differentiates between the trade flows, that is export and import within the EU and trade flows between EU member states and third countries. The empirical model is based on the theory of gravity model extended to include the six subcomponents of the Logistics Performance Index (LPI). The results present that: (1) the standard gravity model variables, such as GDPs of reporter and partner countries and contiguity, are successful in explaining the trade flows of solid and liquid raw energy but in case of gas products, are insignificant; (2) the results indicate that all logistics’ performance subcomponents are highly significant and show positive effects on the export of liquid energy products, while for the solid and gas products, it seems to be insignificant when the energy commodities are more complex and costly to transport and store, and therefore, contiguity, i.e., when countries share a common border, positively affects energy trade; (3) the EU imports most liquid energy products, but is generally very dependent on energy imports. EU policymakers should strive to either make more use of domestic resources or switch more to renewable energy sources.

Transport is one of the most essential sectors of the EU member state economies. Measurement of the efficiency of transport operations seems to be interesting from the perspective of both the economy as a whole and individual companies operating in the transport sector. The largest proportion of freight transport in the European Union is done by road. The purpose of this paper is to determine the efficiency of road and rail freight transport in old and new European Union countries based on the data envelopment analysis (DEA) method. To that end, the authors present a literature review reflecting the current state of research on the importance of transport and its development in relation to the economy and environmental problems. Additionally, the methods of data analysis and variables are described. The empirical part is divided into a presentation of DEA results and correlation between the transport efficiency, gross domestic product (GDP), and CO₂ emissions results. Moreover, spatial analysis was used to characterize road and rail transport efficiency in EU member states. The last section gives a summary of the study, and the obtained results are compared with data from the literature review.

Seaport efficiency and productivity are the critical factors for handling of goods in the international supply chains and plays an important role in trade exchange with other countries. It is important to evaluate efficiency and productivity of seaports to reflect their status and reveal their position in competitive environment. The main purpose of this article is to use Data Envelopment Analysis and Malmquist Productivity Index to measure the technical efficiency and total factor productivity of container ports. DEA analysis enables one to assess how efficiently a seaports uses the available inputs to generate a set of outputs relative to other units in the data set. This article presents the use CCR and BCC DEA model, to determine overall technical efficiency, pure technical efficiency and scale efficiency of container ports. The analysis gives a possibility to create a efficiency ranking of seaports. The study also applies the Malmquist Productivity Index (MPI), which was used to analyze changes in seaports productivity. The study indicated that technological progress had a greater impact on the change in productivity of container ports than changes in technical efficiency.

The “smart village” concept is relatively new among EU decision- and policy it is a result of many-it is a result of many years of debate, economic and territorial inequalities, social exclusion, diversification of certain areas, gradual reduction of agricultural activities and the interaction of cohesion, regional, and common agricultural policy. The concept of smart villages implies saving villages and their inhabitants, protecting cultural heritage and using local potentials to meet modern challenges. In its initial stages, it requires activities of all stakeholders, from individuals living in the rural area in question to decision-makers participating in identifying the strengths, threats, opportunities, and weaknesses of a certain rural area. Apart from the theoretical definition of smart villages, this paper aims to analyse European regulations of smart villages, and to define the challenges and smart village traps in rural development and ways in which they can be prevented.

Logistics refers to the processes that start with resources and their acquisition, storage, and transportation to their destination. The concept is crucial in business -- particularly for the manufacturing sector -- to understand, manage, and control how resources are handled and progress through the whole supply chain. Now, there is a strong trend to focus on sustainability and eco-friendly solutions in logistics. Processes based on both technology and management need innovations and detailed implementation steps to achieve a satisfactory level of sustainability. This book explores how and where innovations can be implemented to provide a wide approach to sustainability in logistics. It addresses the main challenges affecting modern and sustainable logistics and supply chains and is organized according to six main themes: supply chain management; information intelligent hubs (e.g. warehouse and cities); sustainable transportation; technology for logistics; reverse logistics; and city logistics. The key results presented are based on both extensive types of research and business cases. The overarching advanced logistics and supply chain concepts at the heart of this book contribute to a sustainable intelligent logistics and transport system by making it more efficient, reliable, environmentally friendly, and competitive. Essentially, this book presents the most current research related to sustainability in logistics activities and addresses the theoretical background of sustainability and its significance for logistics, the challenges in supply chains and transportation, and possible solutions for more sustainable logistics systems.