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

The role of geographic spillovers in employment policy planning: an empirical investigation for... 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/approachIn 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.FindingsThe 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/valueThe study contributes to the literature by exploring whether geographical spillovers are labour-friendly or labour-saving in Russia. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png foresight Emerald Publishing

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

foresight , Volume 20 (3): 23 – Aug 20, 2018

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Publisher
Emerald Publishing
Copyright
© Emerald Publishing Limited
ISSN
1463-6689
DOI
10.1108/fs-02-2018-0012
Publisher site
See Article on Publisher Site

Abstract

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/approachIn 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.FindingsThe 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/valueThe study contributes to the literature by exploring whether geographical spillovers are labour-friendly or labour-saving in Russia.

Journal

foresightEmerald Publishing

Published: Aug 20, 2018

Keywords: Employment; Technological change; Regional analysis; Geographical spillovers; Least squares dummy variable corrected estimator; Russian regions

References