scholarly journals Statistical Estimates of the Number of Progenitors in Russian Regions

Author(s):  
Anna Petrovna Bagirova ◽  
Oksana Mikhailovna Shubat

The paper explores the phenomenon of grandparen-tal labor as the activity of grandparents in relation to their grandchildren, the content of which is care, assistance to grandchildren, and their development. Methodological principles for estimating the number of actors of grandparental labor are formulated. On the basis of statistical data, the age of entry into the grandparenting is estimated, and the proportion of grandparents actively engaged in grandparental labor in the regions of Russia is calculated. The re-sults show that the involvement of women in grandparental labor is higher than that of men, and there is a positive correlation between these indica-tors; in Russia, there is a high regional differentia-tion of the involvement of grandparents in grandpa-rental labor. Creating conditions for the activation of grandparental labor in the Russian regions would increase the values of the active longevity index and get all the positive effects that arise in society when the involvement of grandparents in the life of their grandchildren increases.

2015 ◽  
pp. 94-108 ◽  
Author(s):  
K. Krinichansky

The paper identifies and assesses the closeness of the connection between incremental indicators of the financial development in the regions of Russia with the incremental regional GDP and the investment in fixed capital. It is shown that the positioning of the region as an independent participant of public debt market matters: the regional GDP and investment in fixed capital grow more rapidly in the regions which are regularly borrowing on the sub-federal bonds market. The paper also demonstrates that the poorly developed financial system in some regions have caused the imperfection of the growth mechanisms since the economy is not able to use the financial system’s functions.


2018 ◽  
pp. 71-91 ◽  
Author(s):  
I. L. Lyubimov ◽  
M. V. Lysyuk ◽  
M. A. Gvozdeva

Well-established results indicate that export diversification might be a better growth strategy for an emerging economy as long as its GDP per capita level is smaller than an empirically defined threshold. As average incomes in Russian regions are likely to be far below the threshold, it might be important to estimate their diversification potential. The paper discusses the Atlas of economic complexity for Russian regions created to visualize regional export baskets, to estimate their complexity and evaluate regional export potential. The paper’s results are consistent with previous findings: the complexity of export is substantially higher and diversification potential is larger in western and central regions of Russia. Their export potential might become larger if western and central regions, first, try to join global value added chains and second, cooperate and develop joint diversification strategies. Northern and eastern regions are by contrast much less complex and their diversification potential is small.


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.


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.


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.


2019 ◽  
Vol 39 (2) ◽  
pp. 73-80
Author(s):  
I. S. Pinkovetskaia

The aim of the study, the results of which are given in this paper, was to assess the saturation of the Russian economy with business structures. Statistical data for 2015 and 2017 were used as initial data. The indicators characterizing activity of subjects small entrepreneurship (legal entities and individual entrepreneurs) in regions of Russia are presented.


2021 ◽  
Vol 5 (1) ◽  
pp. 1
Author(s):  
Valeriy Semenychev ◽  
Anastasiya Korobetskaya

The article is devoted to the author’s approach and tools for regional industries’ modeling, analysis and forecasting, following the general idea of splitting time series into four components: trend, cycles, seasonal component, and residuals. However, the authors introduce new approaches, models, metrics, and identification algorithms, and the components’ interaction structures, having included the analysis of 12 industries in 82 regions of Russia. The models and forecast accuracy were tested on 3–12 month forecasts, thus proving their high accuracy. Therefore, the article proposes not only new systematic econometric tools but a methodology for decision making, developed to provide stable and adequate characteristics of complex non-linear evolutionary dynamics of Russian regions.


2020 ◽  
Vol 98 (Supplement_4) ◽  
pp. 140-143
Author(s):  
Roger E Lyons

Abstract A performance genetics model adapted to real-world data of Thoroughbred racing and breeding will be presented. The continuity of ancestry and performance is documented in the annals of pedigree, not as functional counterparts, but as corresponding signs of market value. Pedigree invites chronic misprision of highly diverse genetic resources competing for scarce opportunity in the racing economy, resulting in samples that are often small and of dubious composition. Data is specialized for competing “pedigree analysis” that packages the system of signification to meet market demand for meaning. Given statistical deficits, this data is a necessary inferential asset of the model. The model’s premise is that predictability is optimized if racing performance is defined as the function of an indivisible relation between parents. Statistical data consists of 6-generation ancestries of mares that produced offspring by a subject stallion. Comparison of proportions is used to identify effects resulting from his relation to individual ancestors of the subject mare. Expected performance by the sire’s offspring is defined as the proportion of mares that produced a superior runner by him. Each ancestor of a subject mare also has descendants among the mares that produced offspring by the stallion. For each of those groups, the proportion of mares that produced a superior runner is compared with the stallion’s expected performance using a t-test of statistical significance at the .10 level. Probable effect is further tested by case study involving such variables as racing class, generational distance, sex-linkage, inbreeding, and an ancestor’s pattern of effect across the stallion population. Stallions with the highest prevalence of positive effects are preferred for the subject mare. This model, under the trade name LyonScore®, has been used since 2012 by Werk Thoroughbred Constultants, Inc. as a component of its client services. Table 1: The data, listed in tabular format below, is graphically displayed for actual use on an ancestry tree whose nodes are numbered by relation to a subject mare (“Position”). Each statistical data item in the table is derived from the stud record of a stallion named Distorted Humor and corresponds with an ancestor of a mare named Positively Royal. Each ancestor of this mare is also an ancestor of a group of mares that produced offspring of Distorted Humor and were at least three years of age as of 2019. A proportion of each of those groups of mares produced at least one superior runner. Proportions that differ significantly from Distorted Humor’s expected proportion are so indicated. Only ancestors involving a group of at least 18 mares are considered to have inferential value on statistical grounds. Table 2: The sire Danzig is an ancestor of Positively Royal, along with 75 mares that produced foals by Distorted Humor, only five of which produced a superior runner by him, significantly fewer than expected. However, since Distorted Humor’s dam is by Danzig, the question of generational distance is relevant as a variable to the effect of inbreeding. The table below shows Danzig’s proportional distribution by genetic relation to those 75 mares as indicated by “Position.” Of the 64 mares in descent of Danzig within three generations, three mares produced a superior runner. It’s notable, though, that 2 of 6 mares with the same relation to Danzig as Positively Royal produced superior runners. Since Danzig is the only ancestor with a negative effect, further consideration is warranted. Table 3: In a population that tends to slough off unprofitable genetic resources, overspecialization is the main risk of close inbreeding. Some generational variations of an ancestor’s contribution can turn inbreeding to less specialized effect, but this depends on generational distance. Distorted Humor’s earliest opportunity with mares in descent of Danzig involved offspring closely inbred to Danzig, but later in his career he encountered mares for which variation was more likely. As the table shows, two of six mares descending from Danzig in position 25 (4th generation) produced Distorted Humor’s best runners inbred to Danzig, so it is of some interest that Positively Royal, the subject mare, is also a postion-25 descendant of Danzig. However, that those two mares happen to be full sisters whose breeding has little else in common with that of Positively Royal leaves the question of Distorted Humor’s fitness for this mare less certain than would be preferred.


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.


2021 ◽  
Vol 20 (10) ◽  
pp. 103-116
Author(s):  
Natalya S. Epifanova ◽  
Vladimir N. Akulinin

The purpose of this article is to study border trade in the regions of Russia and the provinces of China. It is shown that in recent years there have been negative trends in border trade, leading to its reduction. Therefore, Russian regions bordering with China should transform into separate objects of regional policy, while also forming a legislative framework for border interaction in all its main spheres: trade, humanitarian cooperation, science and education, and others. In border cooperation with China, special emphasis should be placed on cooperation in the innovation sphere, as well as on improving the quality of exported goods and services and promoting infrastructure projects. Border trade between the regions of Russia and China is built mainly on trade and export of labour resources from China to Russia, as well as China’s receipt of additional sales channels for the confidently growing sales markets for consumer goods and sources of raw materials and primary products. The interaction of Russian regions with neighbouring provinces on the border with China not only preserves the raw material orientation of these regions, but also hinders the development and strengthening of the manufacturing industry in the structure of their regional economies, since border interaction for Russian regions immobilizes those stages of value-added production observed in the very first stages. In general, for the Chinese provinces there is a similar problem associated with such exports to border regions that have common borders with Russia, which does not contribute to the diversification and structural development of the regional economies of the Chinese provinces. That is why building an effective mechanism for border interaction between Russia and China is a strategically important issue for both countries.


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