scholarly journals Аssessment of the impact of resource balance and grainuse on wheat price in the regions of Russia

Author(s):  
Anna A. Korableva ◽  
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Roman I. Chupin ◽  
Maria S. Kharlamova ◽  
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...  
2020 ◽  
pp. 62-79
Author(s):  
P. N. Pavlov

The paper analyzes the impact of the federal regulatory burden on poverty dynamics in Russia. The paper provides regional level indices of the federal regulatory burden on the economy in 2008—2018 which take into account sectoral structure of regions’ output and the level of regulatory rigidity of federal regulations governing certain types of economic activity. Estimates of empirical specifications of poverty theoretical model with the inclusion of macroeconomic and institutional factors shows that limiting the scope of the rulemaking activity of government bodies and weakening of new regulations rigidity contributes to a statistically significant reduction in the level of poverty in Russian regions. Cancellation of 10% of accumulated federal level requirements through the “regulatory guillotine” administrative reform may take out of poverty about 1.1—1.4 million people.


Author(s):  
Svetlana Punanova ◽  
Mikhail Rodkin

The mode of development of the COVID-19 pandemic in Russia and the impact of the epidemic on the areas of scientific research, education and functioning of the fuel and energy complex are discussed. The official statistics revealed evidence both of effectivity of the taken anti-epidemic measures in Moscow and of possible cases of incorrectness of statistical data. The social situation and the mode of development of the epidemic in Moscow and in the regions of Russia are essentially different, that reduces the effectiveness of anti-epidemic measures introduced uniformly throughout the whole country. The conditions of the pandemic and quarantine are difficult for everyone, but organizations and persons with a more modern informational character of production adapt to them more easily. In general, it can be suggested that the epidemic besides the very essential losses gives an important impulse for social-economic and political modernization of the society.


2021 ◽  
Vol 27 (12) ◽  
pp. 2679-2697
Author(s):  
Lyudmila E. ROMANOVA ◽  
Anna L. SABININA ◽  
Andrei I. CHUKANOV ◽  
Dar’ya M. KORSHUNOVA

Subject. This article deals with the particularities of the development of housing mortgage lending in the regions of Russia. Objectives. The article aims to substantiate the need for clustering of territorial entities by level of development of mortgage housing lending in Russia and test the most effective algorithm for mortgage clustering of regions. Methods. For the study, we used a systems approach, including scientific abstraction, analysis and synthesis, and statistical methods of data analysis. The algorithm k-medoids – Partitioning Around Medoids (PAM) was also used. Results. Based on the results of the study of regional statistics of the Russian Federation, the article reveals a significant asymmetry in the values of key socioeconomic indices that determine the level and dynamics of housing mortgages in the regions. This necessitates the clustering of territorial entities according to the level of development of mortgage housing lending in the country. To take into account the impact of various local conditions in assessing the prospects for the development of regional housing mortgages, the article proposes an indicator, namely, the integral regional mortgage affordability index. On its basis, in accordance with the selected clustering procedure, the article identifies five mortgage clusters in Russia and identifies their representative regions. Conclusions. Based on the analysis of the specificity of the development of regional mortgages in the Tula Oblast, taking into account the implementation of the target State programme, the article concludes that it is necessary to improve the mechanisms for financing regional mortgage programmes and justifies the need to develop differentiated programmes for the development of housing mortgages in groups of Russian regions.


REGIONOLOGY ◽  
2021 ◽  
Vol 29 (3) ◽  
pp. 486-510
Author(s):  
Tatyana V. Mirolyubova ◽  
Marina V. Radionova

Introduction. The scientific problem under consideration is of particular relevance due to the need to assess the impact of the factors in the digital transformation of the regional economy and in the economic growth on the economic development of the regions of the Russian Federation. Based on the research conducted, the article presents an econometric assessment of the dependence of the level of the gross regional product per capita in the regions of Russia on such factors as digital labor and digital capital. Materials and Methods. The authors analyzed panel data from the Federal State Statistics Service covering 87 regions of Russia for the period from 2010 to 2018. The research methodology is based on the use of the Cobb–Douglas production function, statistical and correlation data analysis, as well as on econometric methods for studying panel data. Results. To analyze the impact of the digital transformation of the economy on the regional economic growth of the regions of Russia, various models based on panel data have been considered, such as the pooled model, fixed effects models, random effects models, as well as time-varying effects models using dummy variables. Based on statistical criteria, the best model has been chosen and conclusions have been drawn about the nature of the impact of the digital transformation indicators on the gross regional product per capita in the regions of Russia. Discussion and Conclusion. The results of econometric modeling have demonstrated that digital factors in economic growth (digital labor, digital capital), along with common factors in economic growth (labor and capital), affect the regional economic growth. According to the regional data for the period from 2010 to 2018, the time fixed effects model has proved to be the best model of the impact of the factors in economic growth and digital transformation on the economic development of the regions of the Russian Federation. The research results can be used when developing a public policy aimed at stimulating the digital transformation of the regional economy.


2017 ◽  
Vol 35 (15_suppl) ◽  
pp. e18022-e18022
Author(s):  
Mikhail Fedyanin ◽  
Shamai Aliyeva ◽  
Liubov Yu Vladimirova ◽  
Sanal Erdniev ◽  
Alexander Ivanov ◽  
...  

e18022 Background: In Russia, there are no federal screening programs for detecting early stage of colon cancer; therefore we can assess the impact of various factors that could potentially affect the mortality of pts with mCRC Methods: We conducted a survey with 13 question according treatment of pts with CRC in 17 regional comprehensive cancer centers in 14 regions of Russia, with a total population of 26.347 billion. Results of the survey were conducted by methods of descriptive statistics. Effects of factors on mortality rate in regions were analyzed by a regression model Results: Only 34% pts with stage II-III received adjuvant chemotherapy. Mutation status of KRAS gene has been evaluated only in 33% pts with mCRC. In 2013, metastasectomy was performed only 13% of pts. Only 80% of pts who needed systemic treatment received chemotherapy (CT): doublets of CT (XELOX/FOLFOX/FLOX or FOLFIRI/XELIRI/IFL) - 49%, monotherapy of fluoropyrimidines - 39% of pts, bevacizumab – in 14% and anti-EGFR antibodies - 5% pts. Only 14% of pts with mCRC was placed central vein devices. Second line CT was performed in 47% pts: doublets – in 54%, monotherapy of fluoropyrimidines - in 24% pts, bevacizumab - 13% and anti-EGFR antibody - 8%. Third-line treatment was performed in 25% of pts: anti-EGFR antibodies - in 7.5%. According to regression analysis adjuvant chemotherapy (р = 0.01), bevacizumab only in the 1st line (р = 0.01), and installation of central venous devises (р = 0.07) and anti-EGFR antibody in the 1st line (р = 0.1) in wtKRAS pts had independent positive effect on the mortality rate in regions. We revealed a significant reverse connection between a high mortality rate in the region and administration of fluoropyrimidine monotherapy as 1st line treatment of metastatic disease (p = 0.01) Conclusions: The mortality with colorectal cancer is depended of complex factors that reflect the health care organization in the region, both at the stage of treatment of pts with early-stage and metastatic disease. We revealed that targeted agents are the most effective only in the 1st line settings.


2021 ◽  
Vol 9 (3) ◽  
Author(s):  
Arthur Mustafin

The author of this article attempts to reveal and systematise archival data on grain prices in Russia between the 1650s and 1700s and analyse their dynamics by comparing them with data for the eighteenth century. The study is based on a wide range of archival sources from the funds of the RSAAA (RGADA), CSA of Moscow (TsGA of Moscow), DM NLR (OR RNB), and SFI CANNR (GKU TsANO). The data from these sources make it possible to construct time series describing rye and oat price dynamics in the northern and central non-black earth regions of Russia. The author substantiates the homogeneity and reliability of the data received and determines the real prices. The resulting numbers make the author doubt the “price revolution” in eighteenth-century Russia. Throughout the eighteenth century, the average real prices remained below the level of the 1660s and 1670s. Only in the 1790s did prices briefly exceed this level. Overall, the Russian grain market was characterised by long-term price fluctuations. The author aims to explain this dynamic by analysing supply and demand in the grain market. More particularly, for the first time in the historiography, the author examines the connection between Russian grain prices and yield in the second half of the seventeenth and eighteenth centuries. It is established that in most cases, the relationship between these indicators was direct: as grain yield increased, prices did too. The article explains this seeming paradox. The data published by the author help not only to estimate the impact of various factors on grain prices during the period in question, but also solve practical tasks regarding various price indicators in grain equivalents.


Author(s):  
Evgeniy Uvarov

This article describes the shadow economy in the public passenger transport sphere in regions of Russia. The goal of the work is to evaluate the impact of a non-cash payment system on the shadow economy. The relevance is to obtain quantitative assessments of the effectiveness of contactless payments using debit, credit and/or transport cards as a tool to combat the concealment of income by transport organizations via hiding the data on passengers carried in regions of Russia. The author uses econometric analysis of panel data for the period 2015–2018, where the dependent variable is the number of passengers carried. Among the independent variables are such indicators as price for a ride, number of population, number of buses, income of population, and other indicators that reflect presence or absence of discount for paying for a ride via debit, credit and/or transport cards in regions in Russia. The model considers autocorrelation and heteroskedasticity of the error in the regression, but also endogeneity of the variable «Price for a ride». As the results of research, absence of discount via a debit/credit card and discount via a transport card leads to an increase of the number of passengers carried. Meanwhile, presence of discount via a debit/credit card and absence of discount via a transport card does not lead to an increase of the number of passengers carried. At the end of 2018 a non-cash system got the most proliferation in the municipal transport than in commercial one


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