International Journal of Econometrics and Financial Management
ISSN (Print): 2374-2011 ISSN (Online): 2374-2038 Website: http://www.sciepub.com/journal/ijefm Editor-in-chief: Tarek Sadraoui
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International Journal of Econometrics and Financial Management. 2014, 2(4), 136-140
DOI: 10.12691/ijefm-2-4-4
Open AccessResearch Article

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

Pub. Date: August 25, 2014

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.

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