Evaluation of economic security in the Ural region in the context of development of small and medium-sized enterprises
N. Yu. Vlasova and
O. O. Kalganova
R-Economy, 2018, vol. 4, issue 3, 121-129
Abstract:
Enhancing economic security of regions is crucial for the development of the whole country, which is what makes research in this sphere particularly important. This study aims to analyze and compare the economic security data on the regions constituting the Ural Federal District (Russia). In contrast with current studies in the field, we are conducting detailed analysis of the factors that affect the development of small and medium-sized enterprises (SMEs) and business climate in the regions. The conceptual framework of this research relies on entrepreneurship theories and theoretical approaches to analysis and evaluation of regional economic security. We develop methodology based on sets of quantitative and qualitative indicators and apply analytical, comparative and statistical methods as well as the method of expert evaluation. The data are provided by the regional statistic services and business support foundations. We also analyze regional support programs for small and medium-sized businesses. We found that all regions of the Ural Federal District are characterized by the medium (acceptable) level of economic security and moderate risk. In the economic security ranking, Tyumen region is at the top while the second place is occupied by Sverdlovsk region; Chelyabinsk and Kurgan regions are at the bottom.
Keywords: REGION; REGIONAL ECONOMIC SECURITY; SMALL AND MIDDLE-SIZED ENTERPRISES; ENTREPRENEURSHIP; BUSINESS SUPPORT PROGRAMS; URAL FEDERAL DISTRICT (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10995/65198 (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:aiy:journl:v:4:y:2018:i:3:p:121-129
DOI: 10.15826/recon.2018.4.3.017
Access Statistics for this article
R-Economy is currently edited by Irina Turgel
More articles in R-Economy from Ural Federal University, Graduate School of Economics and Management Contact information at EDIRC.
Bibliographic data for series maintained by Irina Turgel ().