Modeling of innovative investment in Russian regions

Grigorii Teplykh () and Amal Galimardanov ()
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Amal Galimardanov: National Research University Higher School of Economics, Perm, Russian Federation

Applied Econometrics, 2017, vol. 46, 104-125

Abstract: The paper identifies the factors affecting the investment in the production of new knowledge in the Russian regions. The current study is the first shedding light on this question. R&D and innovation expenditures are considered separately. The dataset includes 74 subjects of the Russian Federation for 2010–2014. We apply some panel regression models and estimation techniques. Based on their results we proposed a set of recommendations to promote innovation

Keywords: innovations; R&D; regional development (search for similar items in EconPapers)
JEL-codes: E22 O31 R10 (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:ris:apltrx:0320

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