printIndustrial potential of Russian regions:
estimation and growth reserves
Gainanov D.A.
Dr. Sci. (Econ.), Professor, Acting Director, Institute of Social and Economic Research of the Ufa Science Center Russian Academy of Sciences, Ufa, Russia 2d2@inbox.ru
Gubarev R.V.
Cand. Sci. (Econ.), assistant professor of Department of Economic Theory, Plekhanov Russian University of Economics, Moscow, Russia gubarev.roma@yandex.ru
Dzyuba E.I.
The Expert of Department of the Popular Front in the Republic of Bashkortostan, Ufa, Russia intellectRus@yandex.ru
Fayzullin F.S.
Dr. Sci. (Philos.), Prof., Academician of the Russian Academy of Natural, Academician of the Academy of Sciences of the Republic of Bashkortostan, Head of the Department of Philosophy, Ufa State Aviation Technical University, Ufa, Russia philosugatu@mail.ru
Gainanov D.A., Gubarev R.V., Dzyuba E.I., Fayzullin F.S. Industrial potential of Russian regions: estimation and growth reserves. Sotsiologicheskie issledovaniya [Sociological Studies]. 2017. No 1. P. 106-116
The relevant economic and mathematical model was developed on the basis of a new approach to understanding the essence of the technical (industrial) potential of the country’s regions. It is based not only on the traditional Cobb-Douglas production factors (labor and capital) but also includes indicators describing the innovative quality of RF’s regions economy and reflecting the standard of living of the working population of Russian Federation regions, as well as the cost of technological innovation and wages of employees of organizations. Empirically, it was found that these factors have the most significant influence on the formation of GRP of the country’s regions. The model allows to efficiently manage technical development of Russia based on an objective assessment of the situation and forecasting (planning) of its development in the future. If the pessimistic scenario will come to life (GRP reduction in the RF subjects, or a significant slowdown in the rate of its growth), than, given the strength of the impact of various shop-floor factor, it is possible to propose a quick economically reasoned management solutions.
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