ESC
Clarivate

 
Source: Journal Citation ReportsTM from ClarivateTM 2022

Entrepreneurship and Sustainability Issues Open access
Journal Impact FactorTM (2022) 1.7
Journal Citation IndicatorTM (2022) 0.42
Received: 2019-12-18  |  Accepted: 2020-06-15  |  Published: 2020-09-30

Title

Modeling cluster development using programming methods: case of Russian Arctic regions


Abstract

The aim of this research is to show how the process of data analysis can be automated through development of an information system. The information system can be used for the identification of economic clusters and analysis of the regional potential for economic growth. The authors used data on the Russian Arctic regions with extreme social, geographical, and economic conditions collected from 2009 to 2016 as an example. The authors have designed a database using MS Access software. The authors used the methodology of the European cluster observatory and the approach suggested by M. Porter to identify economic clusters. This methodology was complemented by introduction parameters, which mirror the strength and employment dynamic of the clusters. Based on the employment data of 83 Russian regions during the period of 2009–2016 the authors have calculated cluster localization parameters for nine Russian regions, which are partly or fully located in the Arctic zone. The authors suggest that the cluster structure in this area is weak and most of the significant clusters are declining. The only significant cluster, which is growing in all regions, is the «Oil and Gas» cluster. In conclusion, the authors state that the obtained results are vital for policy makers and can be used for elaborating the regional economic development strategy in order to support regional diversification and specialization, which are closely related to positive spillovers.


Keywords

Arctic region, economic cluster, cluster identification, MS access, data processing, regional policy making


JEL classifications

O10 , O30


URI

http://jssidoi.org/jesi/article/610


DOI


Pages

150-176


Funding

The reported study was funded by the Russian Foundation for Basic Research (research project No. 18-310-20012).

This is an open access issue and all published articles are licensed under a
Creative Commons Attribution 4.0 International License

Authors

Kudryavtseva, Tatiana
Peter the Great St. Petersburg Polytechnic University, Saint Petersburg, Russian Federation http://www.spbstu.ru
Articles by this author in: CrossRef |  Google Scholar

Skhvediani, Angi
Peter the Great St. Petersburg Polytechnic University, Saint Petersburg, Russian Federation http://www.spbstu.ru
Articles by this author in: CrossRef |  Google Scholar

Berawi, Mohammed Ali
University of Indonesia, Depok, Indonesia https://www.ui.ac.id
Articles by this author in: CrossRef |  Google Scholar

Journal title

Entrepreneurship and Sustainability Issues

Volume

8


Number

1


Issue date

September 2020


Issue DOI


ISSN

ISSN 2345-0282 (online)


Publisher

VšĮ Entrepreneurship and Sustainability Center, Vilnius, Lithuania

Cited

Google Scholar

Article views & downloads

HTML views: 2359  |  PDF downloads: 1253

References