Яндекс.Метрика

APPROACH TO THE PRESENTATION OF DATA FROM SPECIALIZED STATISTICAL OBSERVATIONS ON PERSONAL SUBSIDIARY FARMS


DOI 10.32651/2310-81

Issue № 10, 2023, article № 14, pages 81-92

Section: Problems of agroeconomic researches

Language: Russian

Original language title: ПОДХОД К ПРЕДСТАВЛЕНИЮ ДАННЫХ СПЕЦИАЛИЗИРОВАННЫХ СТАТИСТИЧЕСКИХ НАБЛЮДЕНИЙ ПО ЛИЧНЫМ ПОДСОБНЫМ ХОЗЯЙСТВАМ

Keywords: PERSONAL SUBSIDIARY FARMS, STATISTICAL GROUPING, SURVEY OF PRIVATE HOUSEHOLDS, REPUBLIC OF TATARSTAN, TYPES OF FARMS

Abstract: The article proposes a methodological approach to the construction of an analytical grouping of personal subsidiary farms, the approbation was carried out using impersonal microdata of a sample survey in form No. 2 «Information on the production of agricultural products in personal subsidiary and other individual farms of citizens» for 2021, within which the choice of a grouping feature is justified, the construction of an interval distribution series based on it, developed the system of personal subsidiary farms indicators and the possibilities of statistical analysis are shown. As the object of the study, a set of agricultural enterprises of one of the main agricultural regions – the Republic of Tatarstan was chosen. As a grouping feature, the number of conditional livestock of animals was chosen, since the bulk of cash receipts from agricultural production is provided in the studied population by animal husbandry. Based on the analytical grouping, a close relationship was revealed between the conditional number of animals and the revenue from the sold products of own production, as well as the level of marketability of livestock products. The developed grouping can be used in the summary and presentation of the results of agricultural censuses and micro-censuses at the level of the subjects of the Russian Federation, as well as for the development of a typology of agricultural enterprises, which will improve the quality of information support for regional agricultural management bodies, will allow the development of targeted state support for rural households.

Authors: Kozlov Kirill Aleksandrovich, Ukolova Anna Vladimirovna


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