scholarly journals Improving the Efficiency of the Russian Budgetary Policy in the Context of Economic Growth Fueling

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 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.


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 2 (3) ◽  
pp. 75-82
Author(s):  
O. R. TEGETAEVA ◽  
◽  
L. V. BASIEVA ◽  
A. A. BALIKOEVA ◽  
◽  
...  

The article highlights theoretical approaches to defining the concepts of budgetary provision of the budgets of the constituent entities of the Russian Federation. In this regard, an analysis of changes in the levels of subsidization of regional budgets is carried out, taking into account changes in the methods of distributing subsidies to regions, an assessment is made of the impact of changes in the management of public financial resources on the economic growth of regions.


2021 ◽  
Vol 8 (1) ◽  
pp. 1041-1057
Author(s):  
Ran Zhao ◽  
Yuhong Du

Based on China’s provincial panel data from 1990 to 2017 and the improved Lucas, Nelson & Phelps model, the Spatial Dubin Model is used to test the spatial effects of higher education and human capital quality. The results showed that high-level human capital, characterized by higher education and urban labor income index, indirectly promoted local economic growth through technological innovation. There was also a “local-neighborhood” synergy effect. The neighborhood effect was manifested in that it affected the economic development of neighbors by promoting technological catch-up. After considering the quality factor, both the local and neighborhood effects were enhanced. From a regional perspective, higher education in the Yangtze River Delta, where the level of economic development is relatively high, was manifested as a spatial spillover effect of technological innovation and the neighborhood effect in the northeastern Bohai Rim and the Pearl River Delta was manifested as a technological catch-up.


2004 ◽  
Vol 3 (2) ◽  
pp. 115-134 ◽  
Author(s):  
Erich Weede

AbstractAlthough modern growth theories regard human capital endowment as a determinant of economic growth rates, econometric research does not consistently support this view by empirical evidence. In principle, this discrepancy might arise either from misleading theories or from poor measurement of human capital endowment. Here, it is argued that poor measurement is the culprit, and that one should substitute results from psychological testing, i.e.IQ, for widely accepted measures based on schooling. In order to demonstrate both the superiority of IQ over schooling derived measures as well as the robustness of IQ effects on growth, the new measure is entered in the Mankiw, Romer and Weil and the De Long and Summers frameworks which differ in the specification of growth equations and, in particular, in their treatment of investment. It is demonstrated that IQ effects are at least about equally strong and robust determinants of growth as catch-up opportunities, whether investment is included or excluded, narrowly or broadly defined. If investment is included, its effects are in the same order of magnitude as those of catch-up opportunities or IQ. Since IQ is correlated with state antiquity, since state antiquity might offer


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.


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.


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.


2020 ◽  
Vol 8 (1) ◽  
Author(s):  
Ribka Sari Butar Butar

The results showed that the number of poor people and government expenditures from the aspect of health funds had a significant effect on the HDI. While open unemployment and government spending from the aspect of education fund did not significantly affect the Human Development Index. The success of the economic development of a region can be seen from the high economic growth, with the increase of economic growth is expected also can improve the welfare of society and increase human development with indicator of Human Development Index (HDI).


Sign in / Sign up

Export Citation Format

Share Document