scholarly journals Datasets on the GRP of Russian regions, GRP sectoral composition and growth rates in 2013–2018

Data in Brief ◽  
2020 ◽  
Vol 33 ◽  
pp. 106551
Author(s):  
Gennady M. Fedorov ◽  
Tatyana Yu. Kuznetsova
Information ◽  
2020 ◽  
Vol 11 (6) ◽  
pp. 289
Author(s):  
Vladimir Balash ◽  
Olga Balash ◽  
Alexey Faizliev ◽  
Elena Chistopolskaya

In this article, we analyze the σ - and β -convergence, using the data of the socio-economic development of Russian areas, and discover the role of spatial autocorrelation in regional economic development. We are considering 80 areas of the Russian Federation for the period of 2010–2017. Moran coefficients were used to estimate spatial autocorrelation. We compare the Moran scatterplots for GDP per capita and GDP growth rates per capita in 2017 and in 2014. We study the impact on raising investment in leading capital and the costs of technological innovation. We evaluate a wide range of specifications of spatial econometric models for all kinds of weight matrices. We combine standard geographical proximity with specialization proximity to assess whether they are substitutes or additions to converging economic growth rates. The weight matrix of the neighborhood and specialization similarities are used. The weight matrix of specialization similarities of the regional economies is based on data on the structure of tax payments in 82 industries. The specialization structure of the region’s economy is related to its location. Clusters obtained by matrices of specialization proximity are well separable from each other in space. The connectivity within clusters and the boundaries between them become more apparent over time. It is shown that according to the results of estimation of conditional β -convergence models, the models of 2010–2014 and 2014–2017 differ significantly. There is a statistically significant β -convergence for the period 2010–2014. There is also the presence of spatial autocorrelation. Based on the results of valuation models constructed from data after 2014, it can be concluded that the coefficient estimates for the explanatory variables are not significantly different from zero, and accordingly there is no tendency towards regional convergence in terms of economic development. The results obtained in the work are stable for the proposed models and spatial weight matrices. Territorial proximity is a more important factor than the similarity of specialization for explanation the economic growth rates of Russian regions.


2019 ◽  
Vol 14 (5) ◽  
pp. 124-149 ◽  

This paper examines the influence of sociocultural factors of economic growth on economic development of the Russian regions. The article analyses the influence of various forms of social capital according to James Coleman (norms of trust between individuals, horizontal ties, social norms and values) on economic growth rates of the Russian regions. The paper uses an augmented neoclassical model of economic growth to test the hypotheses about the impact of the initial social capital distribution on the subsequent GRP growth rates in 2007–2016. Particular attention is paid to the selection of relevant tools for measuring the level of social capital of the Russian regions. The empirical specifications of the proposed theoretical model of regional economic growth were evaluated using the two-stage least squares regression (2SLS); the robustness check was carried out using the system generalized method of moments (system GMM). The results of econometric analysis show that the initial spatial distribution of generalized trust does not have a statistically signifi cant effect on economic development. At the same time, the activity of lobbying groups (Olson groups) reduces the rate of economic growth in the regions of the Russian Federation. Increasing the level of civic cooperation (the willingness of citizens to unite to solve their own or social problems in the region) is associated with higher rates of economic development. For the selected study period, the economic signifi cance of sociocultural factors is marginal relative to the significance of the fundamental neoclassical growth factors. Unlocking the potential of sociocultural factors of economic growth may suggest activating the processes of structural transformation of the Russian economy by increasing the economic importance of the private sector and SME segment.


R-Economy ◽  
2021 ◽  
Vol 7 (1) ◽  
pp. 42-51
Author(s):  
Rustem R. Akhunov ◽  
◽  
Azat V. Yangirov ◽  

Relevance. In contemporary economic research, the study of the diversity of factors of national economic growth is gaining more and more significance, particularly with regard to the so-called 'spatial-territorial factors'. In contrast to the existing concepts of regional and spatial economy, the approach described in this paper is based on the hypothesis that it is possible to accelerate national economic growth. It can be done by stimulating extended economic reproduction on the subnational level, that is, on the level of relatively independent and self-contained spatial and administrative units such as regions of the Russian Federation, municipalities, agglomerations, etc. Research objective. The study aims to propose a decomposition of the economic growth rates in Russia by territorial units and to describe the spatial-territorial factors of national economic growth. Data and methods. To characterize the spatial-territorial factors, we used indices of the physical volume of gross regional product (GRP) and gross value added (GVA) in types of economic activities in Russian regions in percentage to the previous year for the period of 2013-2018. The types of economic activities were specified according to the Russian Classifier of Economic Activities of 2007 (OKVED) (Statistical Classification of Economic Activities in the European Community - NACE Rev. 1.1 (2013-2016)) and OKVED-2 (NACE Rev.2 (2017-2018)). Results. We estimated the contributions of Russian regions to national economic growth by analyzing the data on the key types of economic activities in a 6-year period (2013-2018). We also identified the regions which accounted for the largest losses in economic growth, on the one hand, and those which, on the other hand, acted as drivers of the country's economic development. Conclusion. There is a small number of regions lagging in terms of GRP and their influence on the national rates of economic growth is also insignificant. The general rates of GRP decline in a region are determined, first and foremost, by the sluggish growth in those types of economic activities that have the largest share in GRP. The number and share of the regions which demonstrate extended economic reproduction, that is, deliver at least 2% growth a year, are also quite small. These regions make up slightly more than 19% of the country's GRP. The largest group of regions comprises those regions that do not go beyond the simple reproduction (their growth rates are less than 2% a year), while their share in the country's GRP exceeds 74%. The so-called ‘heavyweights’ - regions accounting for the largest share in the country's total GRP - have the strongest effect on the national rates of economic growth, hindering it. It is the economic structure of these regions that has the biggest influence on the country's performance in such types of economic activities as wholesale and retail trade and maintenance and repair of motor vehicles. Sadly, it is in these sectors that the 'heavyweights' demonstrate the largest losses in GVA. As a result, these sectors suffer the most, which is bound to be reflected in the country's overall economic growth.


2020 ◽  
Vol 7 (6) ◽  
pp. 39-48
Author(s):  
Artem Isaev ◽  

The paper tests the Kaldor-Verdoorn model on the base of the Russian Federation regional data for 2005–2017. According to the model, the process of regional growth has the property of cumulative causality. As a result of the benefits bringing by economies of scale, industrialized regions demonstrate faster growth rates at the expense of their economically less-advanced counterparts. Traditional and extended model specifications are examined. The extended specification additionally takes into account the presence of large agglomerations in a number of Russian regions. Estimates demonstrate the presence of cumulative causality and significant increasing returns to scale in manufacturing industry of Russian regions. Meanwhile, the study did not reveal an impact of large industrial agglomerations on the growth rates of the corresponding regions


2021 ◽  
Vol 20 (8) ◽  
pp. 1438-1461
Author(s):  
Roman M. MEL'NIKOV

Subject. The article deals with the comparative analysis of the impact of various sources of financing on the economic growth of Russian regions. Objectives. It focuses on evaluating the impact of public and private investments on the growth rates of real GRP in Russian regions. Methods. The study employs a regression analysis of panel data of Russian regions, using models with fixed and random effects, and a generalized method of moments, a modification of the Mankiw–Romer–Weil's model, which distinguishes investments from the Federal budget, consolidated budgets of Federal subjects of Russia, foreign, and private investments. Results. The study reveals that the attraction of foreign investments has the greatest positive impact on the economic growth of Russian regions. Federal budget investments do not stimulate private investments or contribute to the economic growth of regions, which is related to the priority of Federal investments aimed at achieving socio-political rather than economic goals. Conclusions. Increasing the growth rates of the economies of Russian regions requires consistent work to attract foreign investments, which is complicated by the current geopolitical situation. Measures are necessary to improve the efficiency of budget investments, including the implementation of modern approaches to quantifying the costs, benefits and risks of socially significant investment projects in the practice of public financial management, and sharing the risks of public investments with private capital through the development of public-private partnership mechanisms.


1966 ◽  
Vol 94 (4) ◽  
pp. 491-498 ◽  
Author(s):  
F. D. Malkinson
Keyword(s):  

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.


2015 ◽  
pp. 78-93 ◽  
Author(s):  
A. Tabakh ◽  
D. Andreeva

The article considers debt management practices by Russian regions and municipalities, within a framework set by federal budgetary legislation and practices of state-controlled banks. Key drivers of regional and municipal debt policy are analyzed, and Russian regions are stratified by their debt policy. Current recession is likely to produce higher level of regional debt and changes in its structure, lowering reliance on market funding and decreasing variations in pursued debt policy.


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.


2005 ◽  
pp. 4-18 ◽  
Author(s):  
K. Sonin

In unequal societies, the rich may benefit from shaping economic institutions in their favor. This paper analyzes the dynamics of institutional subversion by focusing on public protection of property rights. If this institution functions imperfectly, agents have incentives to invest in private protection of property rights. The ability to maintain private protection systems makes the rich natural opponents of public protection of property rights and precludes grass-roots demand to drive the development of the market-friendly institution. The economy becomes stuck in a bad equilibrium with low growth rates, high inequality of income, and wide-spread rent-seeking. The Russian oligarchs of the 1990s, who controlled large stakes of newly privatized property, provide motivation for this paper.


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