Towards increased complexity in Russian regions: networks, diversification and growth
Margarita Gvozdeva and
No 8/2018, BOFIT Discussion Papers from Bank of Finland, Institute for Economies in Transition
Following Hausmann et al. (2011), we apply a network approach to measure the level of economic complexity and diversification opportunities of Russian regions. Using Russian and international export data, we find that the complexity of Russian regional economies varies substantially: rela-tively high in western and central regions, lower in southern and northern Russia and lowest in eastern regions. While Russian regions, on average, have poor diversification opportunities, regions can still diversify their exports by participating in international value-added chains or cooperating in developing group strategies. Our results are highly consistent with two well-established rankings of Russian regional R&D development based on numerous regional indicators, and imply that our network-based measure of complexity captures important features such as the level of regional R&D.
JEL-codes: O14 O25 R11 (search for similar items in EconPapers)
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Persistent link: https://EconPapers.repec.org/RePEc:bof:bofitp:2018_008
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