Regional Economics: Theory and Practice
 

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Transport aspects of economic security of Russia's mountainous areas: The automotive industry of the Krasnodar Krai case

Vol. 17, Iss. 1, JANUARY 2019

Received: 20 November 2018

Received in revised form: 30 November 2018

Accepted: 7 December 2018

Available online: 16 January 2019

Subject Heading: ECONOMIC SECURITY

JEL Classification: R10, R40

Pages: 140–152

https://doi.org/10.24891/re.17.1.140

Gorbunov V.S. State University of Land Use Planning (SULUP), Moscow, Russian Federation
79164369421@ya.ru

https://orcid.org/0000-0001-8798-2315

Subject The article addresses the issues of transport support to infrastructure and economic development of Russia's southern regions, the Krasnodar Krai in particular.
Objectives The focus is on the influence of various factors on economic stability of transport organizations operating in Russia's mountainous regions.
Methods I employ the multivariate statistical analysis, and the method of studying the canonical correlation between blocks of variables as its tool. The variables include gross regional product, volume and structure of investments, cost and depreciation of property, plant and equipment of transport enterprises.
Results I present a list of indicators that have an impact on losses of enterprises operating in the automotive industry of the Krasnodar Krai. The paper provides a statistical justification that none of the factors published by the Federal State Statistics Service shows a strong relationship between the loss ratio of transport companies and external factors. The most significant factor that affects indirectly their being loss-making is the amount of budget funds provided for the industry development.
Conclusions The improvement of internal system of accounting and control of material resources, management quality and innovation in the automotive industry of the Krasnodar Krai will contribute to economic security of Russia's mountainous areas, rather than the volume of State support.

Keywords: motor transport, economic security, statistical research, multivariate statistical analysis, mountainous area

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