Abstract
The article discusses the methodology for assessing the personal subsidiary plots production potential. Comparison of the private household plots efficiency is an important problem that requires early solution. It is the most promising direction for optimizing state support and stimulating production. The study purpose is to determine the territories of the Samara region that most effectively use the personal subsidiary plots resources for the agricultural production. The production potential value was the highest in the private household plots of the Samara region southern zone. On average, 1122.2 thousand rubles per hectare fall to personal subsidiary farms in one district of this zone. The production potential value is 36% lower in the Central (719.4 thousand rubles/ha) and by 56% - in the Northern zone (493.0 thousand rubles/ha). The households of the Central natural-economic Zone most effectively use the production potential. The zonal average utilization rate value is 1.14. The available resources are used in the best way by the personal subsidiary plots of the Bezenchuksky district (Kp = 1.67), the worst - by the Sergievsky district (0.62). The considered methodology allows solving important problems - to assess the possibilities and the production real state in the private household plots sector.
Highlights
1 Introduction In Russian agriculture, as in a number of other countries’ agricultural production, there is a special form of commodity producers - personal subsidiary plots [1-5]
Personal subsidiary plots play a significant role in providing agricultural products to the country population (Table 1)
To assess the state and production capabilities of personal subsidiary farms in the Samara region, we used the methods of grouping and regression analysis
Summary
In Russian agriculture, as in a number of other countries’ agricultural production, there is a special form of commodity producers - personal subsidiary plots [1-5]. To assess the state and production capabilities of personal subsidiary farms in the Samara region, we used the methods of grouping and regression analysis. Regression analysis was used to calculate the production potential of personal subsidiary plots.
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