ANALYSIS OF THE SCIENTIFIC AND TECHNICAL COMPONENT OF THE ECONOMIC GROWTH IN THE REGION

Tatiana Kokotkina¹*, Nikolay Sadovin²*, Evgeny Tsaregorodsev³* and Eugenia Vasileva⁴*
¹Associate Professor, PhD, Mari State University, Russia, tanyakokotkina@gmail.com
²Associate Professor, PhD, Mari State University, Russia, n_sadovin@mail.ru
³Professor, Dr, Mari State University, Russia, evgts@marsu.ru
⁴Postgraduate, Mari State University, Russia, jos92@mail.ru
*Corresponding author

Abstract
Regional development researchers pay special attention to the innovative component of the territories at this time as there is a direct contact between the level of the innovation and the level of socio-economic development in the region. Innovation is the key point of improving of the economic competitiveness as knowledge-based economy. Innovation policy is component of the strategy of industrial-innovative development and the primary instrument for increasing of the economic competitiveness. The goal of this research is analysis and evaluation of the innovative component in the economic development of the region. The methods considered are based on the use of econometric models as the model parameters allow to evaluate of the level of regional economic development. This paper focuses on the theoretical aspects of economic and mathematical modeling based on the use of production functions also, as well problems related to the assessment of the innovative component in the economic development of the region. When developing and constructing static models of macroeconomics, statistics were used for 15 years, where economy is an integral unstructured unit, the input of the model are resources, the output is gross regional product as the result of the functioning of the economy. Resources are arguments, gross regional product is function. Modelling was performed with the use of production functions in general for the Russian Federation, and the eighty-three regions and eight federal districts. Macroeconomic indicators such as gross regional product, costs of main production assets, population number, workforce number, economically active population number is chosen to build the models. Models were constructed in operational prices and comparable prices with consideration scientific and technological progress (innovation component) for each region. The level of scientific and technological progress estimate, first, models based on multiplicative production functions are considered, secondly, additive models, in so-called tempo records, which allow to use the cumulative productivity of the production factors to assess growth, the so-called Solow residue. The conducted research quantified the contribution of scientific and technological progress to economic growth of the region; comparative analysis of economic growth in different regions, allocate the regions with the highest and lowest share contribution of scientific and technological progress in the dynamics of growth of gross regional product. It is possible a rating of regions of innovative component of social and economic development on level. 

The research is supported by Russian Science Foundation project #16-18-10017 «Complex of programs for forecasting economic development region»

Keywords: economic-mathematical modeling, gross regional product, production function, scientific and technological progress, Solow residue.