Algorithm for determining significant indicators for the level of sustainable social and economic rural areas development

Issue № 8, 2019, article № 8, pages 81-91

Section: Competition of young authors

Language: Russian

Original language title: АЛГОРИТМ ОПРЕДЕЛЕНИЯ ЗНАЧИМЫХ ПОКАЗАТЕЛЕЙ ДЛЯ УРОВНЯ УСТОЙЧИВОГО СОЦИАЛЬНО-ЭКОНОМИЧЕСКОГО РАЗВИТИЯ СЕЛЬСКИХ ТЕРРИТОРИЙ

Keywords: SUSTAINABLE SOCIO-ECONOMIC DEVELOPMENT, RURAL AREAS, REGRESSION ANALYSIS, ALGORITHM, DEPENDENT VARIABLE, INDEPENDENT VARIABLE, RURAL METROPOLITAN AREA

Abstract: This paper presents an algorithm for determining significant indicators for the level of sustainable socio-economic development of rural areas, based on the use of regression analysis. The proposed algorithm includes five successive stages: the collection of primary statistical data (the creation of an information array for conducting regression analysis); primary database analysis; building models (selection of the best); verification of model specification selection (assessment of the significance of regression parameters and the quality of the model as a whole); determining the results of econometric research (the representation of models in the form of an equation; the economic interpretation of regression estimates). Significant indicators for the level of sustainable socio-economic development of rural areas are: the volume of agricultural production; the amount of investment in fixed assets; total population; the number of non-gasified settlements; the amount of living space commissioned; the proportion of children of the municipality who are registered for determination in a pre-school educational institution; the value of the average monthly wage. The practical value of the study lies in the application of the results obtained in the strategic planning of rural areas, contributing to an increase in their socio-economic sustainability, an increase in the well-being of rural residents and an improvement in the quality of living in rural areas.

Authors: Nikitina Tatiana Igorevna