Social Capital as a Factor of Economic Growth in the Regions of Russia

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.

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.


Author(s):  
Елена Басовская ◽  
Elena Basovskaya ◽  
Леонид Басовский ◽  
Leonid Basovskiy

In the economy of Russia after the crisis of 2008–2009 systemic changes were occurred. In the period before this crisis, Russia experienced economic growth, which was faster than the growth rate of the world economy, then after the crisis, economic growth rates do not exceed the growth rates of the world economy. To identify the reasons and factors for changing the model of economic development of the country, a project for researching the economy before and after the crisis of 2008–2009 is proposed. It is proposed to receive quantitative assessments of the impact of economic, socio-economic, political factors and other significant factors that determine productivity, differing by region of the country, by building econometric models of productivity in the form of expanded production functions.


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.


2019 ◽  
Vol 12 (1) ◽  
pp. 47-56
Author(s):  
N. N. Semenova ◽  
O. I. Eremina ◽  
G. V. Morozova ◽  
Yu. Yu. Filichkina

In modern life, the budgetary policy is a crucial tool for financial regulation of the Russian economic development from the standpoint of ensuring stable growth rates. The importance of the budgetary policy for the sustainable economic development is determined by the following factors: first, at the macroeconomic level it helps to achieve macroeconomic stability (a necessary condition for economic growth); second, at the microlevel it stimulates investment, accumulation of human capital and the increase in factor productivity. The state influences the economic growth rates and quality through productive expenditures as one of the most important components of aggregate demand.The subject of the researchis the impact of productive government expenditures on the economic growth rates in the Russian Federation at the stages of crisis and post-crisis development of the national economy (2008–2016).The purpose of the researchwas to assess the budgetary policy of the Russian Federation in the context of boosting the economic growth and to develop proposals to increase its efficiency. The paper examines the existing theoretical approaches to assessment of the impact of government expenditures on the economic development. The authors also used statistical data to measure the interrelationship between budgetary investments in science, basic and human capital and the GDP volumes. The authors formulated recommendations on improving the efficiency of the Russian budgetary policy, in particular: identifying priorities for budget fund expenditures; changing the existing structure of government spending; expanding the scope of the public-private partnership to promote investment and innovation activities. The paperconcludesthat the lack of medium- and long-term reserves for increasing government expenditures necessitates the change in the structure of government spending through reducing overheads and increasing production costs with the purpose of ensuring sustainable economic growth.


2019 ◽  
Vol 43 (7/8) ◽  
pp. 682-698 ◽  
Author(s):  
Samir Ul Hassan ◽  
Motika Sinha Rymbai ◽  
Aasif Ali Bhat

Purpose The study aims to explore the extent to which human resources development quantifies the economic growth of BRICS countries under the globalization era by controlling country differences. Design/methodology/approach The study used the Generalized Method of Moments (GMM) and Scheffe pairwise comparison tests to quantify the impact of the variables and the level of difference among the BRICS countries onto human Resources development. Findings The study observes that the impact of human resources development on economic growth of BRICS counties is significant but limited to few countries. The study reveals that countries such as India and South Africa are unable to utilize their human resources efficiently to promote economic growth, as compared with Russia, China and Brazil. The study further argues that there is urgent need of amalgam of various economic development theories keeping in mind the regional needs to extract the positive impact from human resource on economic development. Research limitations/implications The single limitation of this research is that it was not possible to compare the results with other developing countries to unleash the capabilities of human resources development with regard to economic growth at the universal level. Originality/value To the best of the authors’ knowledge, this paper is the first of its kind to analyze human resources development at a much deeper level. The paper has chosen variables which are important from the policy perspective of government rather than the working perspective, which is a great contribution. Further, for human index the variables chose covering major aspects of human development from spending perspective.


10.12737/5223 ◽  
2014 ◽  
Vol 2 (3) ◽  
pp. 15-21
Author(s):  
Басовская ◽  
Elena Basovskaya

The new technique designed to assess sustainability of economic development of regions is based on applying diagnostics of system sustainability failure. Degree of sustainability is assessed by dispersion of economic growth rates. Risks of instability in economic development dynamics is assessed by an index, reflecting relative variations in economic growth rates. The author examines economic development dynamics of Ural Federal District as a whole and also of Kurgan, Sverdlovsk, Tyumen and Chelyabinsk regions, based on data for the period of 2000–2012. As is found out, the said regions differ in terms of periods of sustainable and unstable development and degrees of economic growth instability. It is also found, that Tyumen and Sverdlovsk regions are more stable in term of economic development than Kurgan and Chelyabinsk regions. As for economic development of Ural Federal District as a whole, it is comparable in terms of sustainability with that of the national economy. As correlation analysis shows, indicators of unstable economic development affect substantially the level of investments in regional economy. Economic growth instability has an adverse effect on the level of investments in regional economy.


2018 ◽  
Vol 1 (17) ◽  
pp. 37-47
Author(s):  
Liudmyla Rybalchenko

The level of economic development and the economic growth rates in Ukraine are very uneven. On the basement of production function were analyzed the factors of economic development in Ukraine. The influence of the level of the insurance development on its economic growth was considered.


2021 ◽  
Vol 2 ◽  
pp. 106-110
Author(s):  
Rogneda Vasilyeva ◽  
Oleg Mariev ◽  
Elena Ignatieva ◽  
Alla Serkova

Inequality in the distribution of income of the population has a certain impact on different aspects of the economic and socio-cultural development of countries and regions. This inequality arises due to a number of factors as the current nature of the production specialization, the availability of production and economic infrastructure, the achieved level of development of the social sphere, socio-cultural, demographic, and other factors. The main objective of this study is to assess the nature and extent of the impact of income inequality in the Russian regions for the subsequent justification of the directions of socio-economic development. We conducted an econometric analysis of the impact of intraregional income inequality (the Gini coefficient), fixed capital investment per capita, and average per capita consumer spending on one of the main indicators of regional economic growth (GRP) per capita was carried out. The model is based on panel data for the period 2012-2018 for 85 regions of the Russian Federation. The results of the study confirm two of three hypotheses. As prospects for further research, it is proposed to consider the impact of inequality in the distribution of household income on economic growth for different groups of regions, including resource-type regions and regions with a predominance of manufacturing industries, as well as for leading regions and regions with a relatively low level of socio-economic development.


2021 ◽  
Vol 71 (2) ◽  
pp. 213-234
Author(s):  
Ömer Yalçinkaya ◽  
Ali Kemal Çelik

AbstractThis paper addresses the impact of fundamental (economic, political and geopolitical) uncertainties on GDP growth of the world’s largest 20 economies (W-20) using the Cobb-Douglas total production function within the scope of the second-generation panel data methodology for 1990–2016. The aim of the paper is to explore whether these uncertainties lead to a contractionary impact on growth as suggested by the economic theory. The estimation results revealed that indeed this was the case. Our results also indicate that the global uncertainties led the economic growth rates of the selected countries to perform below their exact potential since the 2008 global economic crisis and to fail to attain an expected recovery during the process.


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