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Quality Management of The Population in The Regions of Russia

Quality Management of The Population in The Regions of Russia

Journal of Institutional Studies, , Vol. 11 (no. 2),

The issue of sociocultural modernization of the regions, which should ensure the high quality of life of the population in all regions of the Russian Federation, is on the agenda of modern Russia. An adequate method is required for an objective assessment of the results achieved. Abroad and in Russia, a sufficiently large experience has been gained in conducting a retrospective assessment of the quality of life of the population by the index method. However, the use of high-precision neural network technologies is still rare for socio-economic research. As part of the scientific article, the goal has been set, to try to fill this gap by developing and testing the author’s methodology intended not only for retrospective assessment, but also clustering, as well as predicting the quality of life of the population in Russian regions. The adequacy of the results of clustering and forecasting of the conducted research is achieved by solving relevant problems based on neural network technologies in the NeuroSolutions 6 software product. Innovative development of regional economies. The conducted clustering indicates a low quality of the structure of the Russian regions for the studied phenomenon. Currently, in the cluster structure there are no regions characterized by a very high or high quality of life of the population. Most of the subjects of the Russian Federation have substantial reserves for improving the quality of life of the population, and the leading regions are no exception. The results of the medium-term forecasting indicate that significant interregional «gaps» in the quality of life of the population between Russian regions from different groups persist. The results of the empirical research can be a scientific basis for updating the provisions of the socio-economic policy of any Russian region. The universality of the proposed method allows (in the case of a change in the base of comparison for the entire system of indicators) to carry out not only inter-regional, but also cross-country comparisons at the meso-level.

Keywords: quality of life of the population; science and innovation; regions of Russia; retrospective evaluation; index methods; clustering; forecasting; artificial neural networks; Kohonen self-organizing maps; Bayesian Neyromodel Ensemble

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