Rye Cluster of Russia: Identification of Raw Material Area Based on the Localization Coefficient Technique

DOI

10.2991/aebmr.k.200114.031How to use a DOI?

Keywords

cluster, cluster identification, modified localization coefficient, rye, volga federal district

Abstract

In Russia, there are certain prerequisites for the development of the group of sectors for production and processing of rye in terms of clustering. This paper aims at identifying the territories of Russia of high localization of rye grain production and evaluating the level of this localization. The article presents the unexpectedly pronounced results obtained using the modified LC technique. A group of regions with very high LCs in rye grain production has been identified (from 3.5 to 12.0). In addition, these regions are also included in the Top10 Ranking of Russia regions by the gross harvest of rye grain. Of the total set of regions with high LCs of rye production, a priority is given to the regions forming a compact territory. The article substantiates that the raw material base of the rye cluster in Russia can be comprised of 10 regions of the Volga Federal District. Total, these regions create 2/3 of the gross harvest of rye grain in Russia and 80–90% of sales of rye grain in interregional markets.

Copyright

© 2020, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - O.V. Kostenko
PY  - 2020
DA  - 2020/01/18
TI  - Rye Cluster of Russia: Identification of Raw Material Area Based on the Localization Coefficient Technique
BT  - Proceedings of the First International Volga Region Conference on Economics, Humanities and Sports (FICEHS 2019)
PB  - Atlantis Press
SP  - 137
EP  - 140
SN  - 2352-5428
UR  - https://doi.org/10.2991/aebmr.k.200114.031
DO  - 10.2991/aebmr.k.200114.031
ID  - Kostenko2020
ER  -