Agrarian Bulletin of the Urals

The journal has been published since 2000

ISSN 1997 - 4868 (Print); ISSN 2307-0005 (Online)

 

Development of an intra-regional production grain cluster

Authors: I. G. Generalov, S. A. Suslov

Nizhny Novgorod State Engineering and Economic University, Knyaginino, Russia E-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

Abstract. Purpose.The research is directed to justification of formation in the territory of the Nizhny Novgorod region of a grain cluster and definition of its borders. Methods. The research was conducted on the basis of statistical data on dynamics of production of grain in agricultural organizations in the Nizhny Novgorod Region in a section of municipal units from 2013 to 2017. For justification of a cluster authors offer the approach consisting in allocation of the producers of grain forming 75 % of gross regional collecting in dynamics, drawing up rating of municipal units on the outputs, determination of frequency of entry into rating, group of municipal units on the frequency of occurrence and the analysis of operational performance in groups.
Results. By results of the analysis authors established that the grain cluster of the Nizhny Novgorod region has to include such municipal units as Lyskovskiy, Dal’nekonstantinovskiy, Pochinkovskiy, Ardatovskiy, Spasskiy, Pavlovskiy, Shatkovskiy, Arzamasskiy, Gaginskiy, Bogorodskiy, Sechenovskiy, Sergachskiy, Krasnooktyabr’skiy, Bol’sheboldinskiy, Buturlinskiy, Pil’ninskiy districts which need to be united in three categories on level of production. The scientific novelty consists in author’s approach to allocation of an intraregional grain cluster and allocation in it three categories according to their stability in a grain cluster: a cluster kernel (with average rating from 2.2 to 6.8) – participants of a cluster with the average level of stability
(with average rating from 6.8 to 11.4) – for the poorly steadyof participants of a cluster (with average rating from 11.4 to 11.6).

Keywords: gross harvest, grain, grain farming, grain cluster, cluster, clustering, region, economic efficiency, sustainability.

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