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Matematicheskaya Teoriya Igr i Ee Prilozheniya, 2019, Volume 11, Issue 4, Pages 24–43 (Mi mgta247)  
Two-factor DEA modeling and clustarization of homogeneous firms

Vladimir M. Burea, Elena M. Parilinaabc, Kseniya Yu. Staroverovaa

a Saint Petersburg State University
b Institute of Applied Mathematics of Shandong
c School of Mathematics and Statistics, Qingdao University
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Abstract: The paper presents a clasterization model for homogeneous firms using effectiveness of their activities over a certain time period. The firm efficiency is investigated by the DEA (Data envelopment analysis) methodology, which is based on solving optimization problems and allows to compare firms taking into account many factors of their activities. At the second step of the analysis, the time series of estimators of firm effectiveness obtained as a result of DEA modeling are used to cluster firms and find stable partitions of the set of firms.
Keywords: DEA modeling, time series clustarization, analysis of firm efficiencies.
Funding agency Grant number
Shandong Province WST2017009
The second author’s research was supported by Shandong Province “Double-Hundred Talent Plan” (No. WST2017009).
Received: 29.03.2019
Revised: 16.07.2019
Accepted: 30.07.2019
English version:
Automation and Remote Control, 2021, Volume 82, Issue 5, Pages 877–888
DOI: https://doi.org/10.1134/S0005117921050118
Document Type: Article
UDC: 519.834
BBC: 22.18
Language: Russian
Citation: Vladimir M. Bure, Elena M. Parilina, Kseniya Yu. Staroverova, “Two-factor DEA modeling and clustarization of homogeneous firms”, Mat. Teor. Igr Pril., 11:4 (2019), 24–43; Autom. Remote Control, 82:5 (2021), 877–888
Citation in format AMSBIB
\Bibitem{BurParSta19}
\by Vladimir~M.~Bure, Elena~M.~Parilina, Kseniya~Yu.~Staroverova
\paper Two-factor DEA modeling and clustarization of homogeneous firms
\jour Mat. Teor. Igr Pril.
\yr 2019
\vol 11
\issue 4
\pages 24--43
\mathnet{http://mi.mathnet.ru/mgta247}
\transl
\jour Autom. Remote Control
\yr 2021
\vol 82
\issue 5
\pages 877--888
\crossref{https://doi.org/10.1134/S0005117921050118}
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