Organization of Small and Medium-Sized Business Functioning in the Cluster Model of Economic Development

Lyudmila Y. Bogachkova (), Nadezhda Y. Usacheva () and Andrei A. Usachev ()
Additional contact information
Lyudmila Y. Bogachkova: Volgograd State University
Nadezhda Y. Usacheva: Volgograd State University
Andrei A. Usachev: Volgograd State University

A chapter in Russia and the European Union, 2017, pp 375-382 from Springer

Abstract: Abstract The effectiveness of clusters as a form of production organization and as economic growth drivers has been proved by international experience. Any cluster is based on small and medium-sized businesses, so this makes urgent the problems of ensuring effective cooperation between SMEs as well as with large enterprises of the cluster, authorities and other organizations. These problems are particularly critical for the post-Soviet countries characterized by underdeveloped market institutes and short contemporary history of the market economy. In the present article the authors identify the problems of small and medium-sized business development in the Russian Federation and determine their possible solutions on the basis of comparative analysis of the international experience and the modern Russian model of cluster economic development.

Keywords: Cluster; Economic development; Small and medium-sized business (search for similar items in EconPapers)
Date: 2017
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

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:spr:conchp:978-3-319-55257-6_49

Ordering information: This item can be ordered from
http://www.springer.com/9783319552576

DOI: 10.1007/978-3-319-55257-6_49

Access Statistics for this chapter

More chapters in Contributions to Economics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().