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Modeling cluster development using programming methods: case of Russian Arctic regions
Entrepreneurship and Sustainability Issues ( IF 1.2 ) Pub Date : 2020-09-30 , DOI: 10.9770/jesi.2020.8.1(10)
Tatiana Kudryavtseva , Angi Skhvediani , Mohammed Ali Berawi

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.

中文翻译:

使用编程方法对集群开发进行建模:俄罗斯北极地区的案例

这项研究的目的是说明如何通过开发信息系统来使数据分析过程自动化。该信息系统可用于识别经济集群和分析区域经济增长潜力。作者以2009年至2016年收集的具有极端社会,地理和经济状况的俄罗斯北极地区的数据为例。作者使用MS Access软件设计了一个数据库。作者使用欧洲星团天文台的方法和M. Porter提出的方法来识别经济星团。引入参数补充了该方法,该参数反映了集群的实力和就业动态。根据2009年至2016年俄罗斯83个地区的就业数据,作者计算了9个俄罗斯地区的集群局部化参数,这些地区部分或全部位于北极地区。作者认为,该区域的集群结构较弱,大多数重要集群正在下降。在所有地区都在增长的唯一重要集群是“石油和天然气”集群。总之,作者指出,所获得的结果对政策制定者至关重要,可用于制定区域经济发展战略,以支持与积极溢出效应密切相关的区域多样化和专业化。作者认为,该区域的集群结构较弱,大多数重要集群正在下降。在所有地区都在增长的唯一重要集群是“石油和天然气”集群。总之,作者指出,所获得的结果对政策制定者至关重要,可用于制定区域经济发展战略,以支持与积极溢出效应密切相关的区域多样化和专业化。作者认为,该区域的集群结构较弱,大多数重要集群正在下降。在所有地区都在增长的唯一重要集群是“石油和天然气”集群。总之,作者指出,所获得的结果对政策制定者至关重要,可用于制定区域经济发展战略,以支持与积极溢出效应密切相关的区域多样化和专业化。
更新日期:2020-09-30
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