2023 Vol. 15 №2

The Russian food market has been a fascinating subject for researchers investigating food security risks and ways to mitigate them since the embargo was imposed in 2014. The Kaliningrad region, an exclave of Russia, responded more sensitively to the restrictions than any other territory of the country due to the heavy dependence of its food market on imported finished products and raw materials, as well as the transit from Russia via third countries. This study aims to explore how the consumer preferences of Kaliningraders changed in 2014—2021 under the food embargo. The research also investigates changes in the cross-­border mobility of the region’s residents with regard to the practice of shopping for groceries in neighbouring countries. The principal method used in the study is survey research. A survey of 1,019 respondents was conducted in September 2021. Additionally, a comparative analysis of average food prices in the region and neighbouring countries from 2012 to 2019 was carried out based on data from Kaliningradstat and the national statistics services in Poland and Lithuania. The ways to obtain embargoed food were systematised using content analysis of social media, advertising and joint purchase services, travel agency websites, regional news portals and blogs. The study found that rising prices for commodity groups falling under the import ban were the most significant change in the regional food market. As a result, the share of Kaliningrad and Belarusian manufacturers in the regional market basket of consumer goods rose dramatically, as the volume and range of products increased and new manufacturers entered the market. At the same time, the dependence of purchases of “sanctioned” goods on non-material reasons (quality, personal preferences) determined Kaliningraders’ continued commitment to the “old” strategies despite significant restrictions.

The nonparametric method of dynamic data envelopment analysis (DDEA) has become increasingly popular for conducting comparative efficiency evaluations. In recent years,
dynamic data envelopment analysis (DDEA), a variant of this method, has gained significant attention. This article applies dynamic analysis to evaluate the efficiency of the research sector in Russian regions. Traditional input variables such as the number of research staff and R&D expenditure are considered, while publication and patent metrics serve as output indicators. The analysis covers a substantial time period, spanning from 2009 to 2020. Notably, the proposed evaluation method incorporates publication quality measures as a carry-over variable, in addition to accumulated R&D expenditure. The study employs dynamic data envelopment analysis to compare the obtained results with previous evaluations of the research and technology sector in Russian regions. The findings demonstrate that the proposed method serves as a valuable ranking technique, enhancing existing evaluations of regions’ research and technology potential in terms of efficiency. The article concludes by discussing the prospects and limitations of the method in evaluating and forecasting research and technology profiles of regions.

This research presents a comprehensive analysis of the performance efficiency of Russia’s Baltic seaports, taking into account various economic indicators and addressing investment planning and management issues. Special attention is given to the sustainable development goals and objectives of the seaports, considering their significance in transport and logistics systems. The primary objective of this work is to develop a system approach for conducting multi-­criteria studies on seaport performance efficiency. The findings obtained through the proposed methodology consider criteria at different levels of seaport management, offering valuable practical implications. Notably, this study fills a gap in the literature as no previous work has provided a comprehensive methodology for studying and analyzing ports from the perspectives of management, logistics, and macroeconomics. The system approach can also incorporate environmental considerations and innovative solutions in port infrastructure management. By proposing a new approach to interpreting statistics on Baltic seaports’ performance and presenting empirical research on sustainable development in transport and logistics systems, this study enables a multidimensional examination of seaport performance and establishes a framework for efficiency analysis and evaluation, which is crucial for effective management. The methodological scheme and algorithm for analyzing different categories of managers further facilitate the practical application of the approach. Moreover, it can serve as a strategic tool for informing regional economic policies regarding logistics and transportation.