ITM Web of Conferences
Volume 6, 20166th Seminar on Industrial Control Systems: Analysis, Modeling and Computation
|Number of page(s)
|25 March 2016
Cluster analysis of the bias in the SMB subsidy recipients selection
1 Global Innovation Labs, USA
2 Moscow Institute of Physics and Technology, Moscow, Russia
a Corresponding author: firstname.lastname@example.org
This paper is discussing the applicability of cluster analysis techniques to studying bias in the selection process of government SMB subsidy recipients using data from Moscow city SMB administration. Ward’s Hierarchical Agglomerative Clustering Method is used to study 812 SMBs, which received subsidies in 2012-2013 from the Moscow City SMB administration. This analysis strongly demonstrates that clustering mechanisms can be used to reduce selection irregularities in government subsidy distribution.
© Owned by the authors, published by EDP Sciences, 2016
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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