The article is devoted to the development of the DEA (Data Envelopment Analysis) model to determine the effective regions of the Russian Federation from the standpoint of the implementation of innovation policy, as well as the formation of recommendations for optimizing indicators that characterize the innovation potential of the identified "ineffective" subjects. Approbation of the proposed assessment toolkit was carried out on the example of the regions of the Russian Federation on the basis of the Open Source DEA software; study period 2019; information base - open statistical data of the Federal State Statistics Service of the Russian Federation. To carry out the data analysis procedure using the Open Source DEA program, the following steps have been sequentially implemented: 1) selection of input and output parameters and preparation of a dataset; 2) the choice of the DEA model; 3) interpretation of the solution of the model. As a result, an input-oriented DEA model was selected that calculates technical efficiency assuming variable returns to scale. Subsequent ranking of subjects by the degree of efficiency was carried out in order to identify "model" regions. Specific assessments of desirable changes in inputs/outputs have been formed, which would allow bringing “ineffective” regions to the so-called efficiency frontier.
REFERENCES
1.
Presidential Decree
of December 31, 2015
No. 683 National Security Strategy
Reference legal system "ConsultantPlus" Retrieved from: http://www.consultant.ru2.
Order of the Government of the Russian Federation of 08.12.2011 No. 2227-r ed. from 18.10.2018 Strategy of innovative development of the Russian Federation for the period up to 2020 Reference legal system "ConsultantPlus"
Retrieved from: http://www.consultant.ru3.
M. N.
Surilov
, “Formation of regional innovation policy in the context of spatial integration of the Russian Federation
”, Ph D. thesis
, Sciences
: 08.00.05, 2020
.4.
M. V.
Titova
, “Formation and implementation of regional innovation policy in the knowledge economy: author
”. Ph D. thesis, Sciences
: 08.00.05 (Kursk, 2016) 21
5.
I. Yu.
Chazova
and M. V.
Israilov
, Evaluation of the effectiveness of public authorities, Vestnik Udmurt University
6
, (2019
).6.
Perani
J
and Cyrilli
Since
, Benchmarking European Innovation, Foresight
1
(5
), 4
–15
(2008
).7.
H.
Hollanders
, S.
Tarantola
and A.
Loschky
, Regional Innovation Scoreboard (RIS) 2009, Pro Inno Europe 2009
(2009
). Retrieved from: http://www. proinno-europe.eu/page/regionalinnovation-scoreboard8.
U. S. Economic Development Administration
, Crossing the next regional frontier: Information and Analytics Linking Regional Competitiveness to Investment in a Knowledge Based Economy
(2009
). Retrieved from: http://www.statsamerica.org/innovation9.
K.
Klowden
and M.
Wolfe
, State Technology and Science Index 2012 Enduring Lessons for the Intangible Economy. (Milken Institute
, 2012
) Retrieved from: http:// www.milkeninstitute.org/pdf/STSI2013.pdf10.
I. M.
Bortnik
, G. I.
Senchenya
, N. N.
Mikheeva
, A. A.
Zdunov
, P. A.
Kadochnikov
and A. V.
Sorokina
. System for assessing and monitoring the innovative development of Russian regions
, Innovations
9
(176
), 48
–61
(2012
).11.
A. B.
Gusev
Formation of ratings of innovative development of Russian regions and development of recommendations to stimulate innovative activity of the constituent entities of the Russian Federation
(Moscow
, 2008
) Retrieved from: http://innovation.gov.ru/ sites/default/files/documents/2016/25317/3923.pdf12.
V.
Kiselev
Comparative analysis of the innovation activity of the constituent entities of the Russian Federation
, Innovation
4
(138
), 44
–55
(2010
).13.
O. N.
Vladimirova
, Innovative susceptibility of the region: conditions of formation and management: monograph (Krasnoyarsk
)146
(2011
).14.
Z. A.
Vasilyeva
, T. P.
Likhacheva
and I. V.
Filimonenko
, Strategic development of territories: methodological approaches and tools: monograph (Krasnoyarsk State Technical University
. Krasnoyarsk
, 2005
)15.
S. P.
Zemtsov
and V. L.
Baburin
, How to evaluate the effectiveness of regional innovation systems in Russia?
Innovation
2
(220
), 60
–66
2017
16.
V. L.
Makarov
, S. A.
Ayvazyan
, M. Yu.
Afanasyev
, A. R.
Bakhtizin
and A. M.
Nanavyan
, Evaluation of the effectiveness of the regions of the Russian Federation, taking into account intellectual capital, characteristics of readiness for innovation, the level of well-being and quality of life of the population
. Economy of the region
4
, 9
–30
(2014
).17.
P. M.
Yesterday
and I. R.
Ruyga
, Methodological support for assessing the impact of investment flows on the innovative development of the region
Innovative development of the economy
6
(36-2
), 17
–25
18.
Charnes
, A.
, Cooper
W.
, Rhodes
E.
, Measuring the Efficiency of Decision Making Units
. European Journal of Operational Research
2
, 429
–444
(2016
).19.
W.
Cooper
, L.
Seiford
and K.
Tone
, Data Envelopment Analysis: A Comprehensive Text with Models, Applications, References and DEA-Solver Software (233 Spring Street, New York, NY 10013, USA
: Springer Science & Business Media Inc
,2007
)20.
YU. V.
Dorofeeva
, D. E.
Kacik
, E. P.
Morgunov
and A. I.
Smirnov
, The system of economic security of the region (Krasnoyarsk
, NII SUVPT
, 2002
)21.
A.
Charnes
, W. W.
Cooper
, A. Y.
Lewin
, L. M.
Seiford
, Data Envelopment Analysis: theory, methodology, and application (Kluwer Academic Publishers
, Boston
, 1994
)22.
T.
Coelli
, D. S. Prasada
Rao
and G. E.
Battese
An introduction to efficiency and productivity analysis (Kluwer Academic Publishers
, Boston
, 1998
)23.
Krivonozhko
V E
, Propoj
A I
, Sen’kov
R V
, Rodchenkov
I V
and Anohin
P M
1999
Analysis of the performance of complex systems
. Avtomatizaciya proektirovaniya
1
, 2
–7
24.
Fried
H O
, Lovell
C A K
and Schmidt
S S
(Ed) 1993
The Measurement of Productive Efficiency and Productivit Growth Oxford University Press
653
25.
Pokushko
M
et al 2019
Application of data envelopment analysis method for assessment of performance of enterprises in fuel and energy complex
Journal of Physics: Conf. Ser.
1351
, 012140
26.
Pokushko
M
et al 2020
Applying the Data Envelopment Analysis method for evaluating the efficiency of the complex system operations in fuel and energy companies
Journal of Physics: Conf. Ser.
1515
, 052039
27.
Stepan
Zemtsov
and Maxim
Kotsemir
An assessment of regional innovation system efficiency in Russia: the application of the DEA approach
. Scientometrics
, 120
, 375
–404
(2019
)28.
E. P.
Morgunov
and O. I.
Morgunova
Brief description of the method Data Envelopment Analyses
(2007
). Retrieved from: DEA_intro.pdf (morgunov.org)29.
Kaori
Tone
, Slacks-Based Measure of Efficiency In Data Envelopment Analyses
. European Journal of Operational Research
130
(2001
), 498
–509
(2001
).30.
I. R.
Ruiga
et al 2019
Practical implementation of Data Envelopment Analysis technology to assess the innovative sustainability of resource-type regions
. J. Phys.: Conf. Ser
. 1399
, 033118
This content is only available via PDF.
© 2022 Author(s).
2022
Author(s)
You do not currently have access to this content.
