Models of public investment management at regional level

Viktoria V. Akberdina, Andrey I. Volodin, Roman V. Gubarev, Evgeniy I. Dzyuba and Fanil’ S. Fayzullin
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Viktoria V. Akberdina: Institute of Economics of the Ural Branch of the RAS, Ural Federal University named after the First President of Russia B.N. Yeltsin, Ekaterinburg, Russia
Andrey I. Volodin: University of Regina, Regina, Canada
Roman V. Gubarev: Plekhanov Russian University of Economics, Moscow, Russia
Evgeniy I. Dzyuba: Division of All-Russia People’s Front in Republic of Bashkortostan, Ufa, Russia
Fanil’ S. Fayzullin: Institute of Social and Economic Research of the Ufa Federal Research Center of the RAS, Ufa, Russia

Upravlenets, 2020, vol. 11, issue 1, 45-56

Abstract: Despite significant funding of current national projects and state programs designed to make a breakthrough in the socioeconomic and scientific-technological development of Russia, the problem of creating a unified methodology for the development and implementation of investment and industrial policy remains unresolved. The proportion of methods using relevant tools of economicmathematical modeling and information technologies is still quite low. This issue is particularly acute at regional level. The study aims to substantiate the regional investment model as an effective tool for strategic management of the national economy and its practical implementation using information technologies. We develop and implement a regional investment model based on agent-oriented modeling. This model will allow the executive authorities of any subject of the Russian Federation to make effective management decisions and update the provisions of the regional investment and industrial policy in conditions of limited investment resources (budget funds). The methodological platform of the research is the synthesis of strategic management, indicative planning and reproductive approach. In the study, the methods of agent-oriented modeling and the modeling based on production functions are applied. The study of investment activity in Russia is conducted according to regional statistics (using data for 2017) with the use of artificial intelligence by the method of self-organizing Kohonen maps in a special software product Deductor Studio Lite. Using data for the Republic of Bashkortostan, we establish the possibility of applying production functions to describe functional dependencies in the author’s regional investment model.

Keywords: strategic management; policy-indicative plan; regional investment model; agent-oriented approach; assessment of production capabilities; industrial complex of the region. (search for similar items in EconPapers)
JEL-codes: L52 O25 R58 (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:url:upravl:v:11:y:2020:i:1:p:45-56

DOI: 10.29141/2218-5003-2019-11-1-5

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