Spatio-temporal patterns of knowledge transfer in the borderland

Autor: Mikhaylov А. S., Wendt J. A., Peker I. Yu., Mikhaylova А. А.
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: Baltic Region, Vol 12, Iss 1, Pp 132-155 (2020)
Druh dokumentu: article
ISSN: 2079-8555
2310-0524
DOI: 10.5922/2079-8555-2020-1-8
Popis: A key competitive advantage of a contemporary economy, knowledge, is distributed unevenly, tending to concentrate in cities and urban agglomerations. A border position translates into distinctive features of regional innovative development. In a favourable institutional context, proximity to a border strengthens transboundary cooperation and interaction between neighbouring regions. Although frequent social contacts across borders are well documented in the literature, the effect that the border has on intensive knowledge transfer is yet to be investigated. This article analyses models of knowledge integration taking place between Russia’s northwestern regions and the countries that their border. The study covers six territories of the Northwestern federal district (the Republic of Karelia, St Petersburg, and the Kaliningrad, Leningrad, Murmansk, and Pskov regions); five regions of the Central federal district (Belgorod, Bryansk, Voronezh, Kursk, and Smolensk); and one region of the Southern federal district (Rostov). The methodology of the study consists of using information from the Scopus abstract and citation database to assess the intensity of research cooperation. The findings suggest that the degree of involvement in transboundary research cooperation varies widely across Russia’s border regions.
Databáze: Directory of Open Access Journals