Influence of socio-economic and geographical factors on the location of small and medium enterprises in the regions of russia
Влияние социально-экономических и географических факторов на расположение малых и средних предприятий в регионах России
Gordeev, Dmitriy (Гордеев, Дмитрий) (),
Kaukin, Andrey (Каукин, Андрей) (),
Kosarev, Vladimir (Косарев, Владимир) () and
Zhemkova, Alexandra (Жемкова, Александра) ()
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Gordeev, Dmitriy (Гордеев, Дмитрий): The Russian Presidential Academy of National Economy and Public Administration
Kaukin, Andrey (Каукин, Андрей): The Russian Presidential Academy of National Economy and Public Administration
Kosarev, Vladimir (Косарев, Владимир): The Russian Presidential Academy of National Economy and Public Administration
Zhemkova, Alexandra (Жемкова, Александра): The Russian Presidential Academy of National Economy and Public Administration
Working Papers from Russian Presidential Academy of National Economy and Public Administration
Abstract:
Relevance: balanced development of the national economy in all forms (small, medium and large businesses) are necessary to achieve national goals1. The proposed work is aimed at exploring the development opportunities of small and medium-sized businesses (SMEs), as an area that is given close attention in policy documents. Objective: to determine the list of characteristics and their degree of influence on the decision made by the beneficiary to choose the location of the SME enterprise. Methods: a multiclass logistic regression model that formalizes the probability of an entrepreneur choosing a business location within the framework of the theory of New Economic Geography. Research results: calculations have shown high importance when making a decision to open SMEs in the regions, including such indicators as: the percentage of commercial credit, the availability of skilled labor, the quality of infrastructure, the level of depreciation of fixed assets, the state of the business climate. Main conclusions: the identified indicators decompose the main objective of the SME Development Strategy3. This makes it possible to determine more correctly the necessary measures of political influence, as well as to prioritize support measures at the level of industries when developing appropriate development programs. Research prospects: the presented results are the starting point in a series of research papers and precede a more in- depth study involving the use of graph neural networks for the analysis and modeling of the placement of SMEs in the regions.
Keywords: small and medium-sized businesses; SMEs; economic geography; regional economy; multiclass logistic regression; institutional factors (search for similar items in EconPapers)
JEL-codes: D02 D24 R12 (search for similar items in EconPapers)
Pages: 29 pages
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:rnp:wpaper:w202325
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