SHS Web of Conf.
Volume 44, 2018IV International Scientific Conference “The Convergence of Digital and Physical Worlds: Technological, Economic and Social Challenges” (CC-TESC2018)
|Number of page(s)||11|
|Published online||05 June 2018|
An empirical study of information technology clusters and regional economic growth in Russia
Peter the Great St. Petersburg Polytechnic University, Engineering and Economical Higher School, 195251, Politekhnicheskaya st., 29 Russian Federation
* Corresponding author: firstname.lastname@example.org
The paper is devoted to the identification of the “Information Technologies” cluster in the regions of the Russian Federation and verification of the assumption that there is an interaction between the degree of cluster representation in the region and the GRP size. The authors considered the main theoretical and methodological provisions concerning the identification of clusters with the Top-down approach. Based on the develops of M. Porter and G. Lindqvist, the “Information Technologies” cluster characteristics such as local content, size and focus were calculated for 80 regions of the Russian Federation. The conclusions about the specifics of the cluster development in the country were made. Using the methods of regression analysis, the authors tested a number of hypotheses and revealed the presence of a positive interaction between the GRP volume and the “Information Technologies” cluster presence in the regions of the Russian Federation, as well as the local content, size and focus of this cluster in the regions of the Russian Federation.
© The Authors, published by EDP Sciences, 2018
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. (http://creativecommons.org/licenses/by/4.0/).
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.