Modeling and typologization of rural areas by the level of agricultural production development and the population density farms

Abstract

Abstract The article describes a method for clustering rural areas has been developed that involves building a composite index based on the aggregation of six individual indicators that comprehensively characterize the level of agricultural development. Regional differentiation of the calculated index values allowed us to identify five typological groups within which it is possible to trace the correlation between the level of agricultural development and population density. The first group included twenty-one subjects of the Russian Federation located in the European part of the country, with the most developed agriculture and a predominantly higher density of rural population in comparison with neighboring regions. The second group includes 24 subjects of the Russian Federation (including the most populated North Caucasian republics – Dagestan, Ingushetia, Kabardino-Balkaria) with a range of index values from 0,501 to 0,550, corresponding to developed agriculture. The third group includes 26 subjects of the Russian Federation with a range of index values from 0,401 to 0,500, indicating the average development of agricultural production, which is largely a consequence of the general socio-economic problems of the regions. The fourth group includes 5 subjects of Siberia and the Far East With a range of values of the complex index 0,351-0,400, which are characterized by unfavorable ground-climatic conditions that objectively limit the development of agriculture and rural territories. Six regions complete the rating, some of them belong to the Northern territories with unfavorable climatic conditions (Murmansk region, Nenets district, Yamalo-Nenets district), some are outsiders in terms of socio-economic development (Republic of North Ossetia-Alania, Republic of Altai, Republic of Khakassia).