The estimated and look-ahead model of scientific and technical capacity of region

Anna Zolotukhina () and Marina Frants ()
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Anna Zolotukhina: Bashkir Academy of State Service and Administratio
Marina Frants: Ufa State Aviation Technical University

Economy of region, 2012, vol. 1, issue 1, 211 - 221

Abstract: This paper studies the impact of scientific and technical capacity of Russian regions to the possibility of their sustainable development in the modern world. At the same time clarified the concept of «sustainable development», which in the extended treatment is disclosed in dynamic, static and efficiently-factorial aspects. The essential features of sustainable regional development (economic growth and high living standards, the effectiveness of the sectoral structure of economy, solidarity and partnership between the subjects of regional cooperation, coevolution, etc.) within the framework of a comprehensive, integrative approach are identified.The algorithm of an indicative estimation of scientific and technical capacity of region for the purpose of research of its influence on sustainability of the social and economic development reveals; integrated indicators of a sustainable development and the scientific and technical capacity of the several Russian regions on the basis of computation of corresponding individual and private indicators are calculated. The choice of indicators due to the proposed theoretical and methodological approach to understanding the phenomena is under consideration. Generated by means of carrying out the correlation and regression analysis the econometric model allows to predict degree of stability of regional economy at escalating of separate components of scientific and technical capacity (in particular, its productive, human and financial components, identified in the analysis of the most important from the standpoint of sustainable development in the region). Results of practical application of model are approved on an example of regions of Privolzhsky Federal District.

Keywords: region; scientific and technical potential; sustainable development; integral indicator; scale of threshold indicators; regression equation; forecast (search for similar items in EconPapers)
Date: 2012
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