Investigation of Early Markers of Clustering: Experience in Applying Nonparametric Technique of Examination

Soboleva S.Yu.^1, and Tereliansky P.V.²

¹Departmentof Economics and Management, Volgograd State Medical University, Volgograd, Russia

²Department of Information Systems in the economy, Volgograd State Technical University, Volgograd, Russia

Cite this paper:
Soboleva S.Yu. and Tereliansky P.V.. Investigation of Early Markers of Clustering: Experience in Applying Nonparametric Technique of Examination. International Journal of Econometrics and Financial Management. 2014; 2(4):136-140. doi: 10.12691/ijefm-2-4-4

Abstract

Article is devoted to the issue on early markers of formation of economic clusters, which are the specific regional conditions. In contemporary Russian economic reality, when the state implements the initiation of cluster projects in different geographical regions and economic sectors, particularly relevant is the task to analyze and identify the regional environment conducive to the successful cluster formation. In order to complete the task, authors propose to use non-parametric methodology of examination, allowing to analyze objects with a complex quality structure. Paper describes this technique, and tests it in an example of the emerging pharmaceutical cluster in the Volgograd region. Following the results of the study, a conclusion on the feasibility of establishing a cluster in the area, and the main insufficient conditions are identifies, the improvement of which will have a positive impact on the process of formation of the Volgograd pharmaceutical cluster.

Keywords:
nonparametric examination early markers of clustering cluster formation economic clusters.

This work is licensed under a Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

References:

[1]	Adzhienko, V.L., Sobolev. A.V., “Institutional Premises of Formation and Factors of Success of Regional Pharmaceutical Clusters (on base of Volgograd region)”, Volgograd University Bulletin, Series 3. Economics. Ecology, 1 (20). 131-138. 2012.
[2]	Lomovtseva, O.A., “Problemi transfera innovatsionnih tehnologiy I productov v vuzah Rosii [Problems of Transfer of Innovative Technologies and Products in Russian Universities]” in Innowacynosc I przedsiebiorczsc wwarunkach kryzysu: Wydawnictwo KUL, Lublin (Poland). 2013, 150-155.
[3]	Orlov, A.I., Expertniye otsenki [Expert Estimations]. IVSTE, Moscow, 2002.
[4]	Semyanova, A.Y., Kichigin, N.V., PonomarevM.V. Ob ecologocheskoy expertise. Postateyniy commentariy k Fedralnomu zakonu. Serya “Biblioteka zhurnala “Pravo y economica”. [On Ecologic Expertise. By-article Commentary to the Federal Law. Series “Library of “Law and Economics” Journal”] Yustitsinform, Moscow, 2006, 198.
[5]	Sobolev, A.V. “Basic Characteristics, Peculiarity of Formation and Administration of Pharmaceutical Clusters”,Belgorod State University Scientific Bulletin. History. Political Science. Economics. Information Tecnologies, 19 (138), 24/1. 65-70. 2012.
[6]	Soboleva, S.Y., “Cluster Integration of Pharmaceutical Enterprises of Southern Federal Region”, Regional Economy. South of Russia, 1 (3), 222-226. 2014.
[7]	Terelyansky, P.V., “Approximation of Price-Approximatsiya zavisimosty tsena-kachestvo na osnove statisticheskoy obrabotki expertnoy informatsii” [Quality Dependence Based on Statistic Elaboration of Expert Information], Modern Economics Problems, 1. 560-565. 2009.
[8]	Terelyansky, P.V., Neparametricheskaya expertisa obyectov slozhnoy structure: monografiya [Non-parametric Expertise of the Objects Having Complicated Quality Structure: monograph] Dashkov and K, Moscow, 2009.
[9]	Terelyansky, P.V., Soboleva S.Y., Sobolev, A.V., “Evaluation of the Factors of Formation of Pharmaceutical Cluster by Using Non-parametric Expertise Method”, Belgorod State University Scientific Bulletin. History. Political Science. Economics. Information Tecnologies. 15 (158), 27/1. 46-53. 2013.
[10]	Terelyansky, P.V.. “Price-Postroueniey funktsii tsena-kachestvo na osnove anketnih oprosov expertov” [Quality Function Construction Based on Expert Poll], Volgograd State Pedagogical Bulletin, Series “Socio-Economic Sciences and Art”, 3. 92-96. 2009.
[11]	Terelyansky, P.V., “Prognozirovaniye zavisimosti tsena-kechestvo na osnove extrapolyatsii expertnih otsenok” [Price-Quality Dependence Prognosis Based on Exprapolation of Expert Evaluation], Economic Analysis: Theory and Practice, 9, 61-68. 2009.
[12]	Terelyansky, P.V., Svidetelstvo o gos. Registratsii program dlya EVM № 2009611491. Sistema podderzhki prinyatiya resheniy y prognozirovaniya expertnih predpochteniy na osnove metoda protsentnih otsenok. [Certificate on State Registration of Computer Program № 2009611491. System of Decision Making Support and Expert Preference Forecast Based on Percentage Assessment Method], ROSPATENT. Moscow. 2009.
[13]	Terelyansky, P.V. Svidetelstvo o gos. Registratsii program dlya EVM № 2009611495. Raschet vektora prioritetov na osnove priblizhennogo rascheta pravogo sobstvennogo vectora kvadratnoy obratnosimmetrichnoy matritsi [Certificate on State Registration of Computer Program № 2009611495. Calculation of Priority Vector Based on Approached Calculation of the Right Own Vector of Square Reversesymmetric Matrix] ROSPATENT. Moscow. 2009.