Econometric evaluation of the scientific and technical progress parameter in the innovative exogenous economic growth model

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Abstract

The article explores the problem of assessing the scientific and technological progress (STP) parameter in the exogenous economic growth model in the context of modern innovative digital transformation of the economy. The aim of the study is to develop and empirically verify an econometric model for an integrated assessment of the degree of economic agents’ innovative activity influence on the gross regional product. In accordance with the set goal, a methodologically triune (resource-management-resultant) approach to identifying the STP parameter and the corresponding system of economic agents’ innovative activity indicators of the factors are substantiated, an integral-estimated four-module economic mathematical model is proposed and tested. The results of the model testing make it possible to recommend an econometric approach for application in order to analyze and evaluate the scientific and technological progress parameter in innovative spatial economic development trajectories study.

About the authors

Elena I. Lazareva

Southern Federal University

Author for correspondence.
Email: el_lazareva@mail.ru

Doctor of Economics, Professor, Head of the Department of Innovation and International Management

105/42 Bolshaya Sadovaya St., Rostov-on-Don, 344000, Russian Federation

Daria S. Lozovitskaya

Southern Federal University

Email: hare01@yandex.ru

postgraduate student of the Department of Innovation and International Management

105/42 Bolshaya Sadovaya St., Rostov-on-Don, 344000, Russian Federation

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Copyright (c) 2020 Lazareva E.I., Lozovitskaya D.S.

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