scholarly journals Economic Growth Patterns: Spatial Econometric Analysis for Russian Regions

Information ◽  
2020 ◽  
Vol 11 (6) ◽  
pp. 289
Author(s):  
Vladimir Balash ◽  
Olga Balash ◽  
Alexey Faizliev ◽  
Elena Chistopolskaya
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Spatial Autocorrelation ◽  
Growth Rates ◽  
Growth Patterns ◽  
Weight Matrix ◽  
Russian Regions ◽  
Spatial Econometric ◽  
Per Capita ◽  
Economic Growth Rates

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.

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

2019 ◽  
Vol 14 (5) ◽  
pp. 124-149 ◽  
Keyword(s):  
Economic Growth ◽  
Social Capital ◽  
Economic Development ◽  
Growth Rates ◽  
Generalized Method Of Moments ◽  
Sociocultural Factors ◽  
Russian Regions ◽  
Least Squares Regression ◽  
Economic Growth Rates ◽  
The Impact

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.

Sustainability of Economic Development of the Urals Regions

10.12737/5223 ◽  
2014 ◽  
Vol 2 (3) ◽  
pp. 15-21
Author(s):  
Басовская ◽  
Elena Basovskaya
Keyword(s):  
Economic Growth ◽  
Adverse Effect ◽  
Economic Development ◽  
Correlation Analysis ◽  
Growth Rates ◽  
Regional Economy ◽  
Federal District ◽  
The Urals ◽  
System Sustainability ◽  
Economic Growth Rates

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.

scholarly journals The Influence of Insurance Market on the Economic Development of Ukraine

2018 ◽  
Vol 1 (17) ◽  
pp. 37-47
Author(s):  
Liudmyla Rybalchenko
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Production Function ◽  
Growth Rates ◽  
Insurance Market ◽  
Level Of Economic Development ◽  
Economic Growth Rates ◽  
Insurance Development

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.

scholarly journals ASSESSMENT OF THE IMPACT OF INCOME INEQUALITY ON ECONOMIC GROWTH IN RUSSIAN REGIONS

2021 ◽  
Vol 2 ◽  
pp. 106-110
Author(s):  
Rogneda Vasilyeva ◽  
Oleg Mariev ◽  
Elena Ignatieva ◽  
Alla Serkova
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Income Inequality ◽  
Capital Investment ◽  
Cultural Development ◽  
Russian Regions ◽  
Socio Economic Development ◽  
Per Capita ◽  
Fixed Capital Investment ◽  
The Impact

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.

scholarly journals Uncertainty in forecasts of long-run economic growth

2018 ◽  
Vol 115 (21) ◽  
pp. 5409-5414 ◽  
Author(s):  
P. Christensen ◽  
K. Gillingham ◽  
W. Nordhaus
Keyword(s):  
Economic Growth ◽  
Growth Rates ◽  
Social Insurance ◽  
Low Frequency ◽  
The United States ◽  
Long Run ◽  
Per Capita ◽  
Econometric Approach ◽  
Economic Growth Rates ◽  
Global Growth

Forecasts of long-run economic growth are critical inputs into policy decisions being made today on the economy and the environment. Despite its importance, there is a sparse literature on long-run forecasts of economic growth and the uncertainty in such forecasts. This study presents comprehensive probabilistic long-run projections of global and regional per-capita economic growth rates, comparing estimates from an expert survey and a low-frequency econometric approach. Our primary results suggest a median 2010–2100 global growth rate in per-capita gross domestic product of 2.1% per year, with a standard deviation (SD) of 1.1 percentage points, indicating substantially higher uncertainty than is implied in existing forecasts. The larger range of growth rates implies a greater likelihood of extreme climate change outcomes than is currently assumed and has important implications for social insurance programs in the United States.

Coherence of Russian Economic System: Econometric Assessments

2015 ◽  
Vol 3 (2) ◽  
pp. 21-23
Author(s):  
Басовская ◽  
Elena Basovskaya
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Economic System ◽  
Growth Rates ◽  
Economic Systems ◽  
Degree Of Coherence ◽  
Federal Districts ◽  
Economic Growth Rates ◽  
Sustainable Economic Growth ◽  
Correlative Relationship

The paper examines the degree of coherence of the country’s economic system through assessment of correlation between economic growth rates of regions. The author highlights the high changeability of Russia’s economic system, considered as the total sum of elements, constituted by economic systems of federal districts and economic systems of regions. Correlative relationship between economic growth rates of this system’s elements can vary in the range from positive to negative. During the periods of sustainable economic growth the degree of this system’s coherence tends to reduce sharply. High levels of coherence are typical only for crisis periods in economic development.

The Problem of Factors that Determine the Economic Development of Modern Russia

2018 ◽  
pp. 37-41
Author(s):  
Елена Басовская ◽  
Elena Basovskaya ◽  
Леонид Басовский ◽  
Leonid Basovskiy
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Growth Rates ◽  
World Economy ◽  
Political Factors ◽  
The World ◽  
Before And After ◽  
Economic Growth Rates ◽  
The Impact ◽  
To Receive

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.

scholarly journals CONDIÇÕES SOCIAIS E COMPETITIVIDADE

2000 ◽  
Vol 24 ◽  
Author(s):  
Mariano De Matos Macedo
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Income Distribution ◽  
Growth Rates ◽  
Social Conditions ◽  
Gdp Per Capita ◽  
The Political ◽  
Modern Theory ◽  
Social Variables ◽  
Per Capita

O objetivo desse artigo é mostrar que as idéias e as propostas de políticas vinculadas ao conceito de competitividade sistêmica e à “moderna teoria do crescimento econômico” são muito semelhantes e convergentes. Tanto esse conceito quanto essa teoria afirmam que condições sociais precárias (grandes desigualdades na distribuição de renda, atraso educacional, etc.) constituem fatores que podem limitar o crescimento econômico, a expansão da produtividade (PIB per capita) e, portanto, as possibilidades de competitividade internacional de um País. A explicação do “resíduo de Solow” pela “moderna teoria do desenvolvimento” - endogeneizando na função de produção todos aqueles fatores acumuláveis e potencializadores de riqueza (estritamente econômicos ou não), antes considerados exógenos ou residuais por Solow – leva, como nas concepções relativas à competitividade sistêmica, a um amplo leque de variáveis econômicas e sociais como determinante de fundamental importância na explicação da taxa de crescimento per capita do PIB. Essas concepções teóricas também escapam da armadilha dos rendimentos decrescente, presentes nos “antigos modelos”, e explicam porque as taxas de crescimento de alguns países podem crescer, ao longo do tempo, mais do que a de outros países, ampliando - ao invés de fazer convergir, pela liberdade dos mercados e mobilidade dos fatores - as diferenças de níveis de desenvolvimento econômico e de competitividade entre as Nações. Abstract The objective of this article is to show that the ideas and the political proposals tied to the concept of sistemic competitiveness and the “modern theory of the economic growth” are very similar and convergent. Both the concept and the theory affirm that precarious social conditions (great inequalities in the income distribution, educational delay, etc.) constitute factors that can limit the economic growth, the expansion of productivity (the GDP per capita) and, therefore, the possibilities of international competitiveness of a Country. The explanation of the “Solow’s residue” for the “modern theory of the development” – internalized in the production function all those factors that improve the wealth (strictly economic or not), before considered external or vestigial for Solow - leads, as in the conceptions related to the sistemic competitiveness, to an ample fan of economic and social variables as determinants of basic importance in the explanation of the per capita tax growth of the GIP per capita. These theoretical conceptions also escape of the the incomes decreasing trap, found in the “old models”, and explain why the growth rates of some countries can grow, along the time, more than other countries, extending - instead of making to it converge, through the freedom of the markets and mobility of the factors - differences of levels of economic development and competitiveness between the Nations.

Studying of social and economic development of Russia (On the book by V. A. Mau “Crises and lessons. Russian economy ina turbulent epoch”)

2018 ◽  
pp. 146-154
Author(s):  
A. G. Aganbegyan
Keyword(s):  
Economic Growth ◽  
Economic Policy ◽  
Economic Development ◽  
Growth Rates ◽  
Market Reforms ◽  
New Economic Policy ◽  
Russian Economy ◽  
Social And Economic Development ◽  
Key Issues ◽  
Economic Growth Rates

The article considers the main topics of the book by V. A. Mau “Crises and lessons. Russian economy in a turbulent epoch” and in connection with this - the problems of Russia’s social and economic development in the period of market reforms. The key issues that reflect the specifics of the transformational crisis in Russia are formulated. The reasons of Russian economy stagnation in the mid-2010s are explained. The essence of a new economic policy and sources of accelerating economic growth rates in our country are analyzed.

scholarly journals Klassen Typology and Williamson Index to Measure Macroeconomics in South Sulawesi Province

2021 ◽  
Vol 1 (1) ◽  
pp. 37-49
Author(s):  
E. Elpisah ◽  
S. Suarlin ◽  
Muhammad Yahya
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Logistic Regression ◽  
Income Inequality ◽  
Growth Rates ◽  
Secondary Data ◽  
Income Disparity ◽  
South Sulawesi ◽  
Economic Growth Rates

This study was conducted to analyze the classification of economic growth of each district/city in South Sulawesi Province use Klassen typology, Williamson index, and logistic regression. Analyze income inequality between districts/cities in South Sulawesi Province. This study uses secondary data with a sample of fifteen years from 2005 to 2019. The results of the study show that: (1) several districts/cities have potential as developed and fast-growing areas, developed but depressed areas, fast-developing areas, and relatively underdeveloped areas; (2) income inequality in South Sulawesi Province is in a low condition; (3) economic growth and income disparity have a negative and significant effect on welfare in South Sulawesi Province. This means that economic growth and growth disparities affect the community's welfare in South Sulawesi Province. Economic development results do not only indicate the direction of achieving specific economic growth rates. Based on the results, it can be concluded that the economic growth has fluctuated. The Williamson Index shows that there are disparities. Partially, economic growth and income disparity significantly affect people's welfare in South Sulawesi Province. So that, the local government in its program is also expected to be able to more intensively carry out efforts to equalize income distribution social welfare.

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