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Abstract
The paper substantiates the need to take into account and monitor indicators of territorial public self-government, as a new promising tool for managing the spatial development of agro-industrial territories, by identifying the relationship with key indicators of the development of agro-industrial regions based on the use of correlation and regression analysis methods and building a correlation-regression model using statistical data of subjects of Russian Federation. The results of the correlation analysis revealed the absence of correlation dependences between the key indicators of the development of the agro-industrial region and the amount of TPSG, showing a tendency for TPSG growth, due to the increase in the average annual population of the constituent entities of the Russian Federation. The results of the regression analysis confirmed the influence of certain key indicators on the number of TPSGs, in particular, a positive assessment of the regression was established for the indicator of the labor force number in the agricultural sectors of the constituent entities of the Russian Federation. A conclusion is made about the necessity and expediency of further detailed and substantive study of TPSG indicators in terms of quantitative measurement as informatively significant for inclusion in the system of indicators for regular monitoring of agro-industrial regions the state of development.
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Details
1 Perm State National Research University, Perm, Russia
2 Institute of Economics, Ural Branch of RAS, Russia