Model Integrated Growth of Small and Medium Business in the Region on Assessment of Factors
- DOI
- 10.2991/aebmr.k.200312.125How to use a DOI?
- Abstract
The article substantiates the need for integrated growth of small and medium-sized businesses in the sphere of manufacturing industries of the Vladimir region. The main factors that limit the joint activities of large and small and medium-sized businesses in the region are formulated. Based on the use of expert assessment methods, quantitative assessments were obtained that made it possible to formulate the main directions for creating favorable conditions for conducting entrepreneurial activity. The paper developed and proposed the main parameters of the integrated growth model of small and medium businesses. The object of modeling is the activity of the processing industries of the region, on the basis of the development of which it is proposed to substantiate the growth of the gross regional product, turnover and profits in the industrial production sector. Creating favorable conditions for joint activities of large and small and medium-sized businesses can be achieved by leveling the restrictive factors. One of the key tools for modeling the development of the regional economy is the use of such indicators of enterprises and entrepreneurship as turnover, profit and output, which will ensure the sustainable development of a small sphere due to the intensification of production.
- 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/).
Cite this article
TY - CONF AU - T K Snegireva PY - 2020 DA - 2020/03/17 TI - Model Integrated Growth of Small and Medium Business in the Region on Assessment of Factors BT - Proceedings of the International Scientific Conference "Far East Con" (ISCFEC 2020) PB - Atlantis Press SP - 910 EP - 915 SN - 2352-5428 UR - https://doi.org/10.2991/aebmr.k.200312.125 DO - 10.2991/aebmr.k.200312.125 ID - Snegireva2020 ER -