2023 Vol. 15 №1

Global manufacturing systems function in such a way that countries develop industrial spe­cialisation, which leads to territorial disparities. The countries of the Baltic region are no exception despite their strong economic ties and developed industries. A signifi­cant element of any manufacturing system is its scientific and technological subsystem, which is described in this article for ten countries (Germany, Sweden, Denmark, Nor­way, Finland, Poland, Estonia, Latvia, Lithuania and Russia), based on an analysis of a clustered set of national character­istics: R&D financing and staffing in the scientific and technological subsystem. A total of ten indicators, absolute and relative, are investigated. The study relies on combined grouping, graphical and cluster analysis to build a typology of countries and distinguish their types ac­cording to their scientific and technological excellence As a result, a typology of the countries of the Baltic Sea region has been pro­posed and types of countries with similar characteristics have been identified: the two main types are traditional market economies and post-socialist countries, whose common features are observed in all sets of main characteristics. Several subtypes are described as well. The research draws on 2010—2019 (2020) statistical data from the European Statistical Office (Eurostat), the Organization for Economic Co-operation and Development (OECD) and Russia’s Federal State Statistics Service (Rosstat).

This article explores the spread of the Covid-19 infection in Russia’s Baltic macro-region. The monthly excess mortality rate in the Baltic region is analysed along with regional and municipal Covid-19 response acts to identify regional features affecting the spread of the disease. The spatial characteristics of Russia’s Baltic regions, germane to the propagation of Covid-19, were distinguished by examining selected social and economic statistical indicators. Based on the space of places/space of flows dichotomy, Russia’s Baltic regions can be divided into three spaces: 1) St. Petersburg, the Leningrad and Kaliningrad regions (dominated by spaces of flows; highly permeable space); 2) the Republic of Karelia and the Murmansk region (the key factors are rotational employment and the introduction of the virus from without); 3) the Novgorod and Pskov regions (lowly permeable spaces of places; the central role of local foci of the disease). The principal risk factor for the space of flows is the rapid spread of Covid-19 along transport arteries, whilst, within the space of places, the coronavirus spreads through spatial diffusion from isolated foci along short radii. In the former case, local authorities counteracted spatial diffusion by restricting movement in the local labour market; in the latter, by limiting travel between the centre and the periphery. The traditional ideas about positive (openness, centrality) and negative (closedness, peripherality) characteristics of space are reversed in the context of the pandemic: periphery gains the benefit of natural protection from the pandemic, whilst centres become acutely vulnerable.