EconPapers    
Economics at your fingertips  
 

Modeling of innovative investment in Russian regions

Grigorii Teplykh () and Amal Galimardanov ()
Additional contact information
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
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed

Downloads: (external link)
http://pe.cemi.rssi.ru/pe_2017_46_104-125.pdf Full text (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

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

Access Statistics for this article

Applied Econometrics is currently edited by Anatoly Peresetsky

More articles in Applied Econometrics from Publishing House "SINERGIA PRESS"
Bibliographic data for series maintained by Anatoly Peresetsky ().

 
Page updated 2020-08-21
Handle: RePEc:ris:apltrx:0320