This article presents a dataset for calculating the index of inclusive growth in the regions of the Russian Federation, estimated on key and institutional foundations of the performance of inclusive development. The authors of the research used the methodology of the World Economic Bank and the World Economic Forum, based on a comparative analysis of key and institutional indicators of the performance of territorial entities, which they adapted to the socio-economic features of the regional division of Russia. For the purpose of formation of a dataset was executed assessment of the inclusive growth index for 26 regions of the Russian Federation, it allowed to define the strengths and weaknesses of the inclusive development of each region of the Russian Federation. The dataset can be useful in the formation of strategic programs of inclusive development.

The present study substantiates the economic basis for regulating land relations in the agricultural sector, outline the main stages of the formation and development of land relations in Russia. It also carries out a comparative analysis of land relations in Russia and foreign countries, presents theoretical aspects of economic regulation of land relations in the agricultural sector and considers domestic and foreign experience of the regulation of land relations. The activities of human society in connection with land are carried out on the basis of social relations, the key element of which is land relations. Transformations and regulation of land relations occur in the process of agrarian transformations. Historically, it has been proven that the implementation of agrarian reforms that change the socioeconomic situation, the working conditions of people, the production and marketing of products, does not bring about solid results without a proper transformation of land relations. The unique role of land relations in the system of agrarian reforms suggests that agrarian restructuring must begin with land reform.

Global warming has begun to affect Yakutia, an area recognized as the coldest region of the Northern Hemisphere. Previous research has indicated that the effects of global warming will be long-term. When modeling oncoming climatic changes, researchers often forecast the related water flow changes in various water bodies as well. However, these evaluations frequently differ from the actual water flow data. Thus, the current study identifies and assesses the trends in long-term flow fluctuations in the current context of global warming. This is particularly relevant in the subarctic region of Yakutia, because the local climate is not significantly influenced by anthropogenic factors. The region has an essentially uniform climate, and the river basins within the subarctic zone flow in the same direction. Thus, the study parameters can be adequately compared. Analysis of changes in the water regimen parameters of the rivers in this region is of particular importance. This study demonstrates that the changes in the long-term river regimen in the region, within approximately equivalent climate zones, have been highly and locally variable indifferent areas and time periods. However, we were unable to detect any specific consistency in these changes. The water content of almost all rivers in Yakutia has increased in the last 30 years (approximately), thus confirming general assumptions based on predictive models of climate changes; however, in most cases, such changes were the result of reaching the high-water stage of established long-term cycles. The nature of long-term fluctuations in the water flow of rivers did not change in about half of the Yakutia rivers. One water body showed a further decrease in the water content from the norm, both in terms of duration and water flow rate. Meanwhile, specific water bodies exhibited extreme long-term fluctuations, which are predicted to be a reaction to global warming. Prior to the onset of significant warming in the region, the trends of long-term water discharge fluctuations were stationary. Then, the trends of certain rivers became non-stationary due to the reasons indicated above. On their own, quantitative characteristics are insufficient to evaluate actual changes in water regimens. Moreover, evaluations obtained in the absence of a trend analysis of specific long-term discharge fluctuations, which can only be performed via graphic visualization, are most likely to be inaccurate.

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