E3S Web Conf.
Volume 161, 2020International Conference on Efficient Production and Processing (ICEPP-2020)
|Number of page(s)||5|
|Published online||15 April 2020|
Modified localization coefficients for cluster processes identification: a comparative analysis (case study: the Russian rye sector)
Faculty of Economics, Federal State Budgetary Educational Institution of Higher Education “Vyatka State Agricultural Academy”, Kirov, Russia
* Corresponding author: firstname.lastname@example.org
The paper presents the results of the identification of agrarian clusters. Research is done in connection with the rye sector of Russia taken as a case study. The localization coefficients were calculated from the gross yield of winter rye grain. Two variants of calculating coefficients were compared – in proportion to the indicators of the gross regional product and employment statistics. Studies have shown that the coefficients in proportion to the gross regional product are more sensitive and allow a more subtle diagnosis of cluster processes. Localization coefficients in proportion to employment statistics are a more stringent method for identifying clusters.
© The Authors, published by EDP Sciences, 2020
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.
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