scholarly journals FORECASTING THE VOLUMES OF IMPORT OF LIVE ANIMALS IN THE RUSSIAN FEDERATION

Author(s):  
Mariya Tsvil ◽  
Victoria Plotnikova ◽  
Elena Stadnikova

This article provides an econometric analysis of the volume of imports of live animals in the Russian Federation according to the data of 01.01.2018-30.09.2021. by quarters. Based on the presented quarterly data, an econometric model was developed and a forecast for the volume of imports of live animals in the 4th quarter of 2021 was calculated

Author(s):  
Mariya Tsvil ◽  
Maria Kobeleva ◽  
Anastasia Ponomareva

The article presents econometric models of time series presented on the basis of quarterly data on the export volumes of oilseeds and cereals of the Russian Federation in the period from 01.01.2017 to 31.09. 2021. According to the obtained multiplicative model, the forecast of export volumes for 12 commodity groups for the 4th quarter of 2021 is presented


Author(s):  
A.N KIRYUSHKINA ◽  
◽  
A.A KURILOVA ◽  

The issue of enhancing regional innovation and investment development is one of the important elements of the development of the Russian economy in the realities of the modern economy. Like any economic process, investment and innovation regional development depends on many factors with varying degrees of influence. Existing domestic studies provide a different range of influencing factors and do not determine the degree of this impact on the innovative and investment development of regions. In the works, where economic calculations are presented, there is also a question of choice as a resultant and explanatory indicators. The purpose of this article is to identify the factors influencing the investment and innovative development of the constituent entities of the Russian Federation. In the course of the study, an econometric model of innovative and investment development of the constituent entities of the Russian Federation was built. Modeling was carried out using the Gretl 1.9.11 software product using the least squares method. The model includes factors that, for the most part, were not used in the study of innovation and investment development using mathematical modeling. A number of factors have been replaced with more appropriate ones or taking into account more activities. As a result of the tests carried out, the model can be recognized as correct and is a theoretical proof of the existence of a relationship between the volume of produced innovative goods, works and services in the country and specific economic indicators.


Author(s):  
Mariya Tsvil ◽  
Daniil Krasyukov

The given article presents an econometric analysis of the volume of enumerations of customs payments into the federal budget of the Russian Federation during export and import. On the basis of the given data for 2012-2020, econometric models have been constructed and the volumes of the customs payments in both directions of movement for 2021 have been predicted


2021 ◽  
Vol 29 (4) ◽  
pp. 294-301
Author(s):  
Natalia Shaidurova ◽  
Vanessa Prajova ◽  
Vitaliy Smirnov ◽  
Galina Livenskaya

Abstract This article provides a cluster analysis of existing technoparks, the sample of which was built according to the completeness of the data presented on the official websites of the Ministry of Industry and Trade of the Russian Federation and the terms of operation. The analysis is carried out in order to determine the best components of the effectiveness of the development of the technopark movement in Russia. According to the analysis of this article, we can talk about a weak relationship between the three sub-indices: the activities of the management company, the activities of residents, the activities of regional authorities. The obtained data can serve as a starting base for further construction of an econometric model of the efficiency factors of technoparks.


2013 ◽  
pp. 106-118 ◽  
Author(s):  
E. Fedorova ◽  
A. Lysenkova

In this paper, using an econometric model (the model with Markov switchings), monetary policy of the Russian Federation in 2001—2011 is studied, based on the Taylor rule. CBR’s policy priorities in relation to inflation and the exchange rate in the given period are identified. Monetary tools are revealed, which support the mode selected by the CBR.


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