IMPROVEMENT OF REGIONAL MODEL OF THE STATE SUPPORT OF SMALL AGRARIAN BUSINESS

2018 ◽  
pp. 4-12
Author(s):  
A Latkin ◽  
E. Korotkyh
2019 ◽  
pp. 59-73 ◽  
Author(s):  
Nikolai M. Svetlov ◽  
Renata G. Yanbykh ◽  
Dariya A. Loginova

In this paper, we assess the effects of agricultural state support of corporate farms on their revenues from agricultural production sales in 14 Russian regions that differ in technology, environment and institutional conditions. In addition to the direct effect of the state support, the indirect effects via labor and capital are revealed. For this purpose, we identify production functions and statistical models of production factors for each of these regions separately. We find out diverse effects of the state support on revenues among the regions. Positive effects prevail. Negative effects are mainly caused by labor reductions that follow subsidy inflows. Another cause of negative effects is the soft budget constraints phenomenon.


2020 ◽  
Vol 19 (12) ◽  
pp. 2210-2224
Author(s):  
V.M. Sharapova ◽  
T.N. Medvedeva ◽  
E.A. Farvazova

Subject. The article considers a procedure for calculating and distributing State support to depressed agricultural regions in the framework of a new type of budget financing, i.e. compensating and stimulating subsidies. Objectives. The purpose is to evaluate the efficiency of the system of State regulation of agribusiness in a depressed region, determine the priority of modern methods of budgetary support from the State, improve the methodological approach to the distribution of State aid among subjects of the Russian Federation with low level of socio-economic development. Methods. The study draws on the abstract and logical method, methods of statistical analysis, grouping, comparison, and generalization. Results. We realized the objectives of the study, using the agricultural producers of the Kurgan Oblast case. The paper analyzes the condition of agricultural sector in the depressed region, assesses the State support system efficiency for the agricultural sector of the Trans-Ural region, considers government measures related to the regulation of the economy of backward regions. It presents an updated method of budget financing within an incentive subsidy by clarifying the calculations and introducing an additional indicator that reflects the level of remuneration of regional agricultural producers. Conclusions. The updated calculation methodology for incentive subsidies to depressed regions enables to build a certain economic rating of ten depressed regions of the Russian Federation, taking into account not only the volume of production and employment, but also the level of wages of agricultural workers.


Author(s):  
A.Ya. Kibirov ◽  

The article uses methods of statistical analysis, deduction and analogy to consider programs at the Federal, regional and economic levels, which provide for measures aimed at improving the technical equipment of agricultural producers. Particular attention is paid to the acquisition of energy-saving, high-performance agricultural machinery and equipment used in the production and processing of agricultural products. An assessment of the effectiveness of state support for updating the material and technical base of agriculture is given. Based on the results of the study, conclusions and recommendations were formulated.


2020 ◽  
pp. 104-110
Author(s):  
A.N. Stavtsev ◽  
Andrey Nikolaevich Osipov ◽  
Hatimat Nabievna Hasanova

2018 ◽  
Vol 170 ◽  
pp. 02006
Author(s):  
Elena Khutieva ◽  
Alexander Maizel ◽  
Marina Vlasova

The exploitation of Arctic resources is becoming now one of the most important directions of Russia’s strategic development. The coordination center for this project is St. Petersburg. The article assesses the potential of this region which forms an essential prerequisite for the effective implementation of the given work from the standpoint of the state and prospects of industrial clusters formed in its territory. The subjects of the cluster environment of St. Petersburg relevant programs of state support are divided into three categories: 2 innovative territorial clusters, 3 territorial clusters, 9 territorial clusters administered by the Center for cluster development. Specific recommendations for them are proposed on the basis of analysis of their strengths and weaknesses, as well as assessment of opportunities and threats to their development.


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