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The role of geographic spillovers in employment policy planning: an empirical investigation for Russian regions

Luigi Aldieri (Department of Economic and Statistical Sciences, University of Salerno, Fisciano (SA), Italy)
Maxim Kotsemir (Institute for Statistical Studies and Economics of Knowledge, National Research University Higher School of Economics, Moscow, Russian Federation)
Concetto Paolo Vinci (Department of Economic and Statistical Sciences, University of Salerno, Fisciano (SA), Italy)

Foresight

ISSN: 1463-6689

Article publication date: 29 June 2018

Issue publication date: 20 August 2018

449

Abstract

Purpose

The purpose of this paper is to look at the factors driving labour creation in Russia, while paying attention to the role of innovation policy. The study considers innovation variables with indicators linked to social conditions (social filter component) and geographical spillovers for 85 regions during the period 2010-2016.

Design/methodology/approach

In particular, the study uses latitude and longitude coordinates to compute the distance between Russian regions according to the Haversine formula. In this manner, it measures the spillovers as the weighted sum of R&D capital stock on the basis of computed distance, according to the accessibility index procedure.

Findings

The finding is very important in terms of policy implications for supporting employment. As the results stress that own innovation produces labour creation effects, while knowledge spillovers are labour-saving, the study could conclude that regional innovation policy may have undetermined the objective of an efficient level of absorptive capacity able to benefit positively from external innovation.

Originality/value

The study contributes to the literature by exploring whether geographical spillovers are labour-friendly or labour-saving in Russia.

Keywords

Acknowledgements

The research leading to these results has received funding from the Ministry of Education and Science of the Russian Federation in 2017-2108 (Project ID: RFMEFI57217X0005).The authors are grateful to Denis Martynov from HSE (www.hse.ru/en/org/persons/39054877#sci) for helping us with the map visualization of data.

Citation

Aldieri, L., Kotsemir, M. and Vinci, C.P. (2018), "The role of geographic spillovers in employment policy planning: an empirical investigation for Russian regions", Foresight, Vol. 20 No. 3, pp. 289-311. https://doi.org/10.1108/FS-02-2018-0012

Publisher

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Emerald Publishing Limited

Copyright © 2018, Emerald Publishing Limited

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