Evaluation of regional innovation systems performance using Data Envelopment Analysis (DEA)

Yelena Vechkinzova (), Yelena Petrenko (), Yelena Petrenko (), Stanislav Benčič (), Dmitriy Ulybyshev (), Dmitriy Ulybyshev (), Yerlan Zhailauov () and Yerlan Zhailauov ()
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Yelena Vechkinzova: V.A. Trapeznikov Institute of Control Sciences, Russian Federation
Yelena Petrenko: Plekhanov Russian University of Economics, Russian Federation
Yelena Petrenko: LLP "Rational solutions", Kazakhstan
Stanislav Benčič: Pan-European University, Slovakia
Dmitriy Ulybyshev: LLP "Rational solutions", Kazakhstan
Dmitriy Ulybyshev: Karaganda Economic University of Kazpotrebsoyuz, Kazakhstan
Yerlan Zhailauov: LLP "Rational solutions", Kazakhstan
Yerlan Zhailauov: Karaganda Economic University of Kazpotrebsoyuz, Kazakhstan

Entrepreneurship and Sustainability Issues, 2019, vol. 7, issue 1, 498-509

Abstract: Effective innovative systems testify to the success of regional economic policies. Based on the neoclassical approach novel approach towards evalution of regional innovation system functioning is suggested. In this study, the performance indicators of innovative systems in the regions of Kazakhstan are calculated using the non-parametric Data Envelopment Analysis (DEA) method for a convex model, with constant and variable effects of scale, focused on maximum outputs and minimum resource costs. The obtained results will facilitate providing recommendations for improving economic policy for the purposes of more efficient use of resources in regional innovation activities.

Keywords: regional innovation development; Kazakhstan; efficiency of innovation systems; non-parametric optimization; Data Envelopment Analysis (DEA) (search for similar items in EconPapers)
JEL-codes: C01 C67 E22 G28 M00 O15 O50 O53 P40 P47 (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:ssi:jouesi:v:7:y:2019:i:1:p:498-509

DOI: 10.9770/jesi.2019.7.1(35)

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