The relevance of the research topic is due to the need to determine a scientifically sound approach to the sustainable development of the Russian Federation and its subjects, whose economies are constantly influenced by many different factors, including latent influence on it. One of these factors is electricity, or rather its consumption, which is characterized in linear correlation models by the dependence between variables: electricity consumption and gross regional product. In turn, electricity consumption is influenced by prices set by government authorities, which can both stimulate and reduce electricity consumption in the region, and hence the growth rate of regional economies. Unlike other publications on this topic, the article uses a territorial approach, the grouping method, and correlation and regression analysis to determine whether authorities can make incident decisions to increase or decrease the cost of electricity in a region (typological group of regions), which represents certain elements of novelty. As a result of the study, three main groups of regions were formed: two with a positive correlation between the region's electricity consumption and the gross regional product, and one with a negative one. Conclusions have been drawn for each group and practical recommendations regarding tariff policy have been given. Confidence intervals (with a confidence level of 99%) are used to assess the accuracy of the results obtained and to test them. Theoretically, the research results make an estimated contribution to the sustainable development of the region, taking into account the use of electricity as one of the factors of economic growth; in practical terms, the conclusions and recommendations can be useful to regional authorities in implementing their tariff policy
Keywords
gross regional product, demand for electricity, tariff policy, energy saving, correlation, territorial and sectoral balance, regions of Russia, regression analysis