Abstract

The paper presents the results of the study, the aim of which is to develop a typology of subsidiary farms to study by type of labor force. The subject of the study is a system of statistical indicators; the object is a set of subsidiary farms in three regions with different agro-climatic conditions. The informational basis of the work was the impersonal data of the 2016All-Russian Agricultural Census on subsidiary farms engaged in agricultural production. The scientific novelty of the work consists in the development of the typology of subsidiary farms using multidimensional statistical method of cluster analysis, its validation, and description of types using a system of indicators of size, intensification and specialization of agricultural production. Three groups of subsidiary farms with reliable differences among themselves were identified in all three regions. The differences in the availability of labor resources according to the highlighted types were proven, but the available system of indicators does not allow for an in-depth analysis, as the census data do not contain information even on labor inputs. The study showed that the third cluster in all three regions studied is represented mainly by farms that are essentially no longer subsidiary farms, which indicates the need to revise the approach to the presentation of statistical data on agriculture in terms of the categories of farms. Agricultural products of the first and second types of subsidiary farms do not enter the market, have no market value, when conducting agricultural censuses in order to reduce costs and expand the program it is worth returning to the study of the introduction of census, as done in the European Union, USA and other countries with developed economies.

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