The technique for determining the innovative potential of socio-economic actors at different hierarchical levels through elements of the vector analysis and field theory
Author(s) -
S.V. Istomina,
T. A. Lychagina,
Е.А. Пахомова,
Alexander Pakhomov
Publication year - 2020
Publication title -
digest finance
Language(s) - English
Resource type - Journals
eISSN - 2311-9438
pISSN - 2073-8005
DOI - 10.24891/df.25.2.205
Subject(s) - divergence (linguistics) , field (mathematics) , relevance (law) , flexibility (engineering) , government (linguistics) , macro , computer science , management science , phenomenon , quality (philosophy) , data science , political science , mathematics , epistemology , engineering , economics , management , law , philosophy , linguistics , pure mathematics , programming language
Subject. The article focuses on the phenomenon of innovative potential of socio?economic actors at different hierarchical levels (macro-, meso-, micro-) through the triple interaction of university, industry and government.Objectives. We devise our own toolkit by involving elements of vector calculus and field theory so as to analyze how innovation influences the development of the above actors, and test it from perspectives of defining the innovative potential of Russia as a macroactor.Methods. The research draws upon elements of vector calculus and field theory (gradient, divergence, continuity equation), method of analogies to adapt concepts of natural sciences to economics (dividing the above actors' characteristics into structural and dynamic by their substantive comparison), regression analysis to define components of the region’s innovative potential.Results. We devise the technique for defining the innovative potential of socio-economic actors at different hierarchical levels through the lens of the triple helix University–Industry–Government. The innovative potential is represented with three elements. The proposed tool kit was tested by examining trends in Russia's innovative potential during 2010–2015. As the analysis shows, the 'University' element makes the most valuable contribution.Conclusions and Relevance. Having tested the technique, we assured not only its practical significance, flexibility of the proposed toolkit, but also a method for handling official statistics irrespective of its quality. Domestic data processing is too difficult that it shall be compensated with a transparent and concise toolkit.
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