Subject. The article investigates the system of statistical indicators of agricultural labor resources, and considers three subjects of the Russian Federation with different agro-climatic conditions (the Republic of Buryatia, the Lipetsk Oblast and the Stavropol Territory). Objectives. The aim is to develop the typology of peasant (farmer) households and agricultural organizations, according to the All-Russian Agricultural Census, and to obtain detailed characteristics of labor resources by selected type. Methods. I employ the cluster analysis and the variance analysis. The depersonalized data of the All-Russian Agricultural Census of 2016 served as an information base of the study. Results. The paper unveils a strong differentiation of peasant (farmer) households and agricultural organizations in terms of size, specialization, and production intensity. This indicates the need to develop their typology and to study labor resources by selected type. Based on the developed methodology, I identify three groups from each category of farms (small, medium and large) in the said subjects of the Russian Federation. Within the categories, there are significant differences in terms of the number of employees and supply of labor. In general, in regions with more favorable natural conditions, the proportion of full-time farm laborers is higher. Conclusions. The findings can be used by federal, regional and local authorities for developing measures to increase employment in agriculture and rural areas.
Puminova K.A. [Labor resources as one of the main factors of production in agriculture]. Azimut nauchnykh issledovanii: ekonomika i upravlenie =Azimuth of Scientific Research: Economics and Administration, 2019, vol. 8, no. 4, pp. 318–320. URL: Link (In Russ.)
Vasil'eva I.V., Mozhaev E.E., Markov A.K. [Efficiency of the use of labor resources of agricultural enterprises]. Vestnik Ekaterininskogo instituta = Bulletin of Catherine the Great National Institute, 2021, no. 1, pp. 24–32. URL: Link (In Russ.)
Goncharov I.S. [Regional features of formation and use of labor resources in agriculture]. Nauchnyi vestnik GOU LNR Luganskii natsional'nyi agrarnyi universitet, 2019, vol. 1, no. 7, pp. 30–39. (In Russ.)
Ukolova A.V. O programme sel'skokhozyaistvennoi perepisi v Germanii [On the Agricultural Census Program in Germany]. Moscow, Russian State Agrarian University – Moscow Timiryazev Agricultural Academy Publ., 2020, pp. 307–312.
Foguesatto C.R., Borges J.A.R., Machado J.A.D. Farmers’ typologies regarding environmental values and climate change: Evidence from southern Brazil. Journal of Cleaner Production, 2019, vol. 232, pp. 400–407. URL: Link
Guarín A., Rivera M., Pinto-Correia T. et al. A new typology of small farms in Europe. Global Food Security, 2020, vol. 26, no. 100389. URL: Link
Masi M., Vecchio Y., Pauselli G. et al. A Typological Classification for Assessing Farm Sustainability in the Italian Bovine Dairy Sector. Sustainability, 2021, vol. 13, iss. 13. URL: Link
Gebrekidan B.H., Heckelei T., Rasch S. Characterizing Farmers and Farming System in Kilombero Valley Floodplain, Tanzania. Sustainability, 2020, vol. 12, iss. 17. URL: Link
Kong R., Castella J.-C. Farmers’ resource endowment and risk management affect agricultural practices and innovation capacity in the Northwestern uplands of Cambodia. Agricultural Systems, 2021, vol. 190, no. 103067. URL: Link
Uzun V.Ya., Saraikin V.A., Gataulina E.A. Klassifikatsiya sel'skokhozyaistvennykh proizvoditelei na osnove dannykh Vserossiiskoi sel'skokhozyaistvennoi perepisi 2006 goda [Classification of agricultural producers based on data from the All-Russian Agricultural Census 2006]. Moscow, ERD Publ., 2010, 176 p.
Nikitina A.A. [Introduction of motivational system as factor of organization development]. Regional'naya ekonomika: teoriya i praktika = Regional Economics: Theory and Practice, 2012, no. 28, pp. 60–63. URL: Link (In Russ.)
Kagirova M.V., Rodionova O.A., Dumnov A.D. et al. Statistical analysis of differentiation of Russian regions in terms of ensuring intensive import substitution in the livestock sector. Journal of Applied Economic Sciences, 2018, vol. 13, iss. 4, pp. 1069–1080.
Zinchenko A.P., Ukolova A.V., Demichev V.V. [Comparative assessment of Russian regions with unfavorable agricultural conditions]. Ekonomika sel'skogo khozyaistva Rossii, 2013, no. 2, pp. 20–26. (In Russ.)
Zinchenko A.P., Ukolova A.V. [Statistical research of small-scale economies in agrarian sector of Russia]. Ekonomika sel'skokhozyaistvennykh i pererabatyvayushchikh predpriyatii = Economy of Agricultural and Processing Enterprises, 2012, no. 6, pp. 40–44. URL: Link (In Russ.)
Zinchenko A.P., Ukolova A.V. [Statistical study of economic activity of agricultural enterprises based on accounting data]. Bukhuchet v sel'skom khozyaistve =Accounting in Agriculture, 2010, no. 5, pp. 4–9. (In Russ.)
Zykova S.B. [Typological classification of the Kirov Region's municipalities based on their resource capacities and capabilities for social and economic growth]. Agrarnaya nauka Evro-Severo-Vostoka = Agricultural Science Euro-North-East, 2016, no. 3, pp. 75–80. URL: Link (In Russ.)
Paptsov A.G., Bondarenko L.V. Russian Rural Areas: Typology and Initiative Budgeting. International Journal of Engineering and Advanced Technology (IJEAT), 2019, vol. 9, iss. 1, pp. 5047–5053. URL: Link
Bondarenko L.V., Yakovleva O.A. [To the question about the methodology of typologization of rural territories]. Ekonomika, trud, upravlenie v sel'skom khozyaistve, 2020, no. 9, pp. 3–13. URL: Link (In Russ.)
Ukolova A.V., Dashieva B.Sh. [Analysis of labor resources of personal subsidiary plots on the base of household accounting data]. Bukhuchet v sel'skom khozyaistve =Accounting in Agriculture, 2020, no. 9, pp. 63–72. (In Russ.)