Spatio-temporal patterns of knowledge transfer in the borderland
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 borde...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Immanuel Kant Baltic Federal University
2020-03-01
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| Series: | Baltic Region |
| Subjects: | |
| Online Access: | https://journals.kantiana.ru/eng/baltic_region/4419/13012/ |
| _version_ | 1818550764510904320 |
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| author | Mikhaylov А. S. Wendt J. A. Peker I. Yu. Mikhaylova А. А. |
| author_facet | Mikhaylov А. S. Wendt J. A. Peker I. Yu. Mikhaylova А. А. |
| author_sort | Mikhaylov А. S. |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-12T08:50:51Z |
| format | Article |
| id | doaj.art-071fdb12aa884bc888ee19e82794741e |
| institution | Directory Open Access Journal |
| issn | 2079-8555 2310-0524 |
| language | English |
| last_indexed | 2024-12-12T08:50:51Z |
| publishDate | 2020-03-01 |
| publisher | Immanuel Kant Baltic Federal University |
| record_format | Article |
| series | Baltic Region |
| spelling | doaj.art-071fdb12aa884bc888ee19e82794741e2022-12-22T00:30:14ZengImmanuel Kant Baltic Federal UniversityBaltic Region2079-85552310-05242020-03-0112113215510.5922/2079-8555-2020-1-8Spatio-temporal patterns of knowledge transfer in the borderlandMikhaylov А. S. 0https://orcid.org/0000-0002-5155-2628Wendt J. A. 1https://orcid.org/0000-0003-1712-4926Peker I. Yu. 2https://orcid.org/0000-0002-5701-7538Mikhaylova А. А. 3https://orcid.org/0000-0002-6807-6074Immanuel Kant Baltic Federal UniversityUniversity of GdanskImmanuel Kant Baltic Federal UniversityImmanuel Kant Baltic Federal UniversityA 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.https://journals.kantiana.ru/eng/baltic_region/4419/13012/knowledge geographyborder regionborderlandknowledge transfercrossborder cooperation |
| spellingShingle | Mikhaylov А. S. Wendt J. A. Peker I. Yu. Mikhaylova А. А. Spatio-temporal patterns of knowledge transfer in the borderland Baltic Region knowledge geography border region borderland knowledge transfer crossborder cooperation |
| title | Spatio-temporal patterns of knowledge transfer in the borderland |
| title_full | Spatio-temporal patterns of knowledge transfer in the borderland |
| title_fullStr | Spatio-temporal patterns of knowledge transfer in the borderland |
| title_full_unstemmed | Spatio-temporal patterns of knowledge transfer in the borderland |
| title_short | Spatio-temporal patterns of knowledge transfer in the borderland |
| title_sort | spatio temporal patterns of knowledge transfer in the borderland |
| topic | knowledge geography border region borderland knowledge transfer crossborder cooperation |
| url | https://journals.kantiana.ru/eng/baltic_region/4419/13012/ |
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