The innovative vector of the Nordic countries’ competitiveness: case of Sweden

• Published in: Arctic and North
• Main Authors: Marina R. Kalinina, Nikolay A. Kondratov
• Format: Article in Journal/Newspaper
• Language: English; Russian
• Published: Northern Arctic Federal University 2018
• Subjects: innovation; competitiveness; research; Sweden; the Arctic; international cooperation; Social Sciences; H; Arctic; Arctic Council; Subarctic
• Online Access: https://doi.org/10.17238/issn2221-2698.2018.33.5; https://doaj.org/article/b27b2dab11314432b4525c83e640b131

Innovation and competitiveness are among key research topics in the social, economic and humanitarian fields. This article describes specific aspects of innovation policy in Sweden, one of the dynamically developing Northern European countries. This development is confirmed by the position of the country in the global innovation and competitiveness rankings. It is shown that high position of Sweden arises from the successful use of its geographic location, the “welfare state” model put into practice, the effective interactions of the state, science, and business, the implementation of research policy, according to which universities and research, and educational centers, involved in technology clusters formation, play an important role. The existing Arctic strategy developed in Sweden adds relevance to the research. The Arctic strategy states that “growth and competitiveness based on overcoming trade barriers, research and education system, as well as on international cooperation within the Arctic Council, the EU and the UN” will have crucial significance for the sustainable social and economic development of the state. From a practical point of view, the Swedish experience in the formation of an innovation economy, which includes northern regions as well, is of interest for the Russian subarctic areas. The article can be used for the educational process at universities. It is relevant for civil servants and researchers, economists and geographers involved in forecasting and territorial development of the northern regions.