EconPapers    
Economics at your fingertips  
 

Knowledge spillover effects: empirical evidence from Russian regions

Luigi Aldieri, Maxim Kotsemir and Concetto Paolo Vinci

Quality & Quantity: International Journal of Methodology, 2018, vol. 52, issue 5, No 10, 2132 pages

Abstract: Abstract This study contributes to existing literature on the relationship between productivity and innovation through the knowledge spillover effects. To this end, we consider both a theoretical model and an empirical analysis in Russia. The investigation is based upon a dataset composed of 85 Russian regions for the period 2010–2014. In particular, the effect of R&D Spillovers are analysed through the use of spatial econometric techniques. In so doing, we have allowed the productivity of each region to be affected by the productivity of nearby regions. Results show that R&D significantly affects Russian regions productivity and that productivity spillover across regions matter.

Keywords: Innovation; Knowledge spillovers; Russian regional analysis (search for similar items in EconPapers)
JEL-codes: C33 O32 O33 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (13)

Downloads: (external link)
http://link.springer.com/10.1007/s11135-017-0624-2 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

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:spr:qualqt:v:52:y:2018:i:5:d:10.1007_s11135-017-0624-2

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11135

DOI: 10.1007/s11135-017-0624-2

Access Statistics for this article

Quality & Quantity: International Journal of Methodology is currently edited by Vittorio Capecchi

More articles in Quality & Quantity: International Journal of Methodology from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-24
Handle: RePEc:spr:qualqt:v:52:y:2018:i:5:d:10.1007_s11135-017-0624-2