Economic Growth and Inequality: Revision of the Economic Policy

2021 ◽  
Vol 144 (2) ◽  
pp. 76-87
Author(s):  
Oleg S. Sukharev ◽  
◽  
Keyword(s):  
Economic Growth ◽  
Growth Rate ◽  
Economic Policy ◽  
Policy Instruments ◽  
Income Growth ◽  
Income Poverty ◽  
Main Task ◽  
Software Module ◽  
Tax Changes ◽  
The Relationship

The study is devoted to the issue of changes in Russian economic policy in the context of a “covid” crisis and after it, based on the previous dynamics. The main task is to launch economic growth in Russia while solving acute social problems that were present before the “covid” crisis in the form of non-growing real disposable incomes, high poverty levels, and compressed consumption. The crisis has significantly exacerbated these problems, having worked to increase unemployment, created a special social regime for teleworking, and created imbalances in the distribution of demand and income. Poverty and inequality levels have increased, real disposable income and gross domestic product have decreased, which makes it urgent to determine the relationship between economic growth and inequality in the pre-crisis period in order to identify economic policy instruments that can stimulate growth while reducing the level of inequality and poverty in the country. The research methodology is a regression analysis based on the Gretl 2020b software module, the use of which makes it possible to select the best models of the relationship between the GDP value and inequality and poverty, as well as to reveal the influence of a set of parameters of the conducted macroeconomic policy on the income growth rate of 20% of the poorest and richest stratum of the country’s citizens. As these parameters, the key interest rate, the oil price, the level of monetization of the economy, the amount of inflation and the amount of budget expenditures are taken. Thus, it is possible to get a picture of the influence of the same economic policy instruments, when they change, on the dynamics of income of different strata of the population. This result makes it possible to identify for the future the possibilities of economic policy, together with the social measures taken to support the population in a crisis situation, the greatest opportunities for ensuring economic growth simultaneously with solving the problem of an outstripping income growth rate of the poorest strata of the population. The prospect of the undertaken research is the study of the influence of various institutional, including tax, changes on the dynamics of income of various groups of the population of the country.

scholarly journals The dynamic relationship between economic policy uncertainty and substantial economic growth in China

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Junchao Li ◽  
Shan Huang
Keyword(s):  
Economic Growth ◽  
Growth Rate ◽  
Economic Policy ◽  
Policy Uncertainty ◽  
Economic Policies ◽  
Causality Test ◽  
Content Type ◽  
Economic Policy Uncertainty ◽  
Different Types ◽  
The Relationship

PurposeUnder the background of the overall increase of China's economic policy uncertainty and the urgent need for the transformation and upgrading of the substantial economy, this paper studies the time-varying causality between China's economic policy uncertainty and the growth of the substantial economy through bootstrap rolling window causality test, further refines economic policies and studies the causal differences between different types of economic policies and substantial economic growth, refining the conclusions of previous studies.Design/methodology/approachThis paper first studies the causal relationship between China's economic policy uncertainty and substantial economic growth in the full sample period through bootstrap Granger causality test. Then, the paper tests the short-term and long-term stability of the parameters of the VAR model, and it is found that the model parameters are unstable in both the short and long term, so the results of the Granger causality test of the full sample are not credible. Finally, we conduct a dynamic test of the causal relationship between China's economic policy uncertainty and substantial economic growth by means of rolling window, so as to comprehensively analyze the dynamic characteristics and sudden changes of the relationship between them.FindingsThe research shows that economic policy uncertainty in China has a significant inhibiting effect on the growth of substantial economy. Growth in the substantial economy will drive up economic policy uncertainty before 2016 and restrain it after that. In addition, this paper further subdivides economic policy uncertainty to explore the causal differences between different types of economic policy uncertainty and substantial economic growth. The test results show that the relationship between them has obvious policy heterogeneity. The fiscal policy uncertainty and the monetary policy uncertainty, as the main policy means in China, has a significant impact on the growth rate of substantial economy in multiple ranges, but the effect time is short. Although trade policy uncertainty has a significant impact on the growth rate of substantial economy only during the financial crisis, the effect lasts for a long time. The impact of exchange rate and capital account policy uncertainty on the growth rate of substantial economy is mainly reflected after 2020.Originality/valueThe values of this paper are as follows: First, the economic policy uncertainty is combined with the growth of substantial economy, which makes up the gap of previous studies. Second, the economic policy uncertainty is further subdivided. The paper explores the causal differences between different types of economic policy uncertainties and the growth of substantial economy, so as to make the research more detailed. Finally, different from the previous static analysis, this paper uses dynamic model to examine the relationship between China's economic policy uncertainty and the growth of substantial economy from a dynamic perspective, with richer research conclusions.

Forming Sources of Long-run Growth: How to Understand Them?

2014 ◽  
pp. 4-20 ◽  
Author(s):  
G. Idrisov ◽  
S. Sinelnikov-Murylev
Keyword(s):  
Economic Growth ◽  
Growth Rate ◽  
Economic Policy ◽  
Business Cycle ◽  
Capital Markets ◽  
Productivity Growth ◽  
Government Spending ◽  
Long Run ◽  
Accelerate Growth ◽  
Budget Institutions

The paper analyzes the inconsequence and problems of Russian economic policy to accelerate economic growth. The authors consider three components of growth rate (potential, Russian business cycle and world business cycle components) and conclude that in order to pursue an effective economic policy to accelerate growth, it has to be addressed to the potential (long-run) growth component. The main ingredients of this policy are government spending restructuring and budget institutions reform, labor and capital markets reforms, productivity growth.

Kazakhstan’s Economic Growth in the Context of the World Economy

2006 ◽  
pp. 133-146 ◽  
Author(s):  
K. Arystanbekov
Keyword(s):  
Economic Growth ◽  
Economic Policy ◽  
World Economy ◽  
World Ocean ◽  
Direct Access ◽  
Crude Petroleum ◽  
Nation States ◽  
The World ◽  
The Relationship

Kazakhstan’s economic policy results in 1995-2005 are considered in the article. In particular, the analysis of the relationship between economic growth and some indicators of nation states - population, territory, direct access to the World Ocean, and extraction of crude petroleum - is presented. Basic problems in the sphere of economic policy in Kazakhstan are formulated.

A NOTE ON INFLATION, ECONOMIC GROWTH, AND INCOME INEQUALITY

2009 ◽  
Vol 13 (1) ◽  
pp. 138-147 ◽  
Author(s):  
Yi Jin
Keyword(s):  
Economic Growth ◽  
Growth Rate ◽  
Income Inequality ◽  
Endogenous Growth ◽  
Money Growth ◽  
Relative Importance ◽  
Long Run ◽  
Endogenous Growth Model ◽  
The Relationship ◽  
Negative Growth

This paper develops a monetary endogenous growth model with capital and skill heterogeneity to analyze the relationship among inflation, growth, and income inequality. In the model inflation, growth, and inequality are jointly determined. We show that an increase in the long-run money growth rate raises inflation and reduces growth, but its effect on income inequality depends on the relative importance of the two types of heterogeneity. Inequality shrinks with the rise of inflation when capital heterogeneity dominates and enlarges when skill heterogeneity dominates. Therefore, our model supports a negative (positive) inflation–inequality relationship and a positive (negative) growth–inequality relationship when capital (skill) heterogeneity dominates. In any event, inflation and growth are negatively related.

INVESTMENTS IN TECHNOLOGICAL LAYOUT. STIMULATION TOOLS

2021 ◽  
pp. 35-63
Author(s):  
Oleg S. Sukharev ◽  
◽  
Ekaterina N. Voronchikhina ◽  
Keyword(s):  
Economic Growth ◽  
Economic Policy ◽  
Policy Instruments ◽  
Macroeconomic Policy ◽  
Economic Thought ◽  
Technological Paradigm ◽  
Exact Answer ◽  
Taxonomic Methods ◽  
The Impact ◽  
Technological Paradigms

An issue of the economic growth launching in Russia and carrying out technological renewal of the economy seems to be the central task at the current stage of the country’s economic development. However, the overwhelming majority of theories of economic growth, as well as the classical theory of economic policy, do not give an exact answer as to the technological renewal in the economy and its role when changing the structure of technologies and investments in them. The present study fills that apparent gap, and on the basis of the theory of technological paradigms created by the Russian school of economic thought. The purpose of the study is to structurally analyze the dynamics of investments in fixed assets in the technological structures of the Russian economy with an assessment of the impact on it of certain instruments of macroeconomic policy. On the basis of taxonomic methods of identifying paradigms by types of economic activity, the authors propose a solution to the problem of measuring structures and the investments made in them. The stages in the methodology for the struc- tural analysis and assessment of the economic policy instruments impact- ing through the regression econometric analysis on the target investment function of each of the identified paradigms are formed. The study resulted in obtaining a picture of the distribution of the impact of macroeconomic policy instruments separately for each technological paradigm, according to the selection made. That allows, firstly, to understand the dispersed power of the influence of the economic policy being implemented, and secondly, to see the possibilities of correcting the ongoing structural and investment policy and the use of macroeconomic instruments, as well as institutional changes – individual for each element of the structure – technological paradigm. The prospect of the study is the development of various models based on the selected structure of technological paradigms and investments in them, linking the development of structures and detailing the impact of each of the economic policy instruments.

scholarly journals FDI and Economic Growth in EU13 Countries: Cointegration and Causality Tests

2020 ◽  
Vol 12 (3) ◽  
pp. 47-63
Author(s):  
Vlatka Bilas ◽  
Keyword(s):  
Economic Growth ◽  
Growth Rate ◽  
European Union ◽  
Annual Data ◽  
Foreign Direct Investments ◽  
Causality Test ◽  
Panel Ardl ◽  
Long Run ◽  
Causality Tests ◽  
The Relationship

Foreign direct investments are seen as a prerequisite for gaining and maintaining competitiveness. The research objective of this study is to examine the relationship between foreign direct investment (FDI) and economic growth in “new” European Union member countries using various unit root, cointegration, as well as causality tests. The paper employs annual data for FDI and gross domestic product (GDP) from 2002 to 2018 for the 13 most recent members of European Union (EU13): Bulgaria, Croatia, Cyprus, the Czech Republic, Estonia, Hungary, Latvia, Lithuania, Malta, Poland, Romania, Slovakia and Slovenia. An estimated panel ARDL (PMG) model found evidence that there is a long-run equilibrium between the LogGDP, LogFDI and LogFDIP series, with the rate of adjustment back to equilibrium between 3.27% and 20.67%. In the case of the LogFDI series, long-run coefficients are highly statistically significant in all four models, varying between 0.0828 and 0.3019. These coefficients indicate that a 1% increase in LogFDI increases LogGDP between 0.0828% and 0.3019%. Results of a Dumitrescu-Hurlin panel causality test indicated that a relationship between the GDP growth rate and FDI growth rate is only indirect. Finally, only weak evidence was shown that FDI had a statistically significant impact on GDP in the EU13 countries over the period 2002-2018. This report of findings contributes to the literature concerning FDI and economic growth, namely regarding the current understanding of the relationship between these two factors.

The Impact of Defense Investment on Economic Growth in the Perspective of Time Series

2014 ◽  
Vol 5 (4) ◽  
pp. 44-58
Author(s):  
Bin Pan ◽  
Shih-Yung Wei ◽  
Xuanhua Xu ◽  
Wei-Chiang Hong
Keyword(s):  
Economic Growth ◽  
Growth Rate ◽  
Private Investment ◽  
Investment Risk ◽  
Demand And Supply ◽  
Economic Growth Rate ◽  
Proposed Model ◽  
Endogenous Growth Model ◽  
The Impact ◽  
The Relationship

By considering the demand and supply effects of defense investment and the uncertainty of the stochastic process of the production and defense investment, this study proposes a stochastic endogenous growth model to explore the impact of defense investment on economic growth. The results suggest that the relationship between defense investment and economic growth rate is nonlinear and obtains the optimal percentage of defense investment to maximize economic growth. Moreover, the impact of defense investment volatility on economic growth rate is subject to production and defense investment interference term's covariance and representative private investment risk preference. Finally, the empirical data are used to illustrate the applicability of the proposed model.

scholarly journals Domestic Debt and Economic Growth in Tanzania

2018 ◽  
Vol 1 (1) ◽  
pp. p207
Author(s):  
Josephat Lotto ◽  
Catherine T. Mmari
Keyword(s):  
Economic Growth ◽  
Growth Rate ◽  
Gdp Growth ◽  
Gdp Growth Rate ◽  
Domestic Debt ◽  
Negative Effect ◽  
The Government ◽  
The Impact ◽  
The Relationship ◽  
Positive Effect

The main objective of this paper was to examine the impact of domestic debt on economic growth in Tanzania for the period 1990 to 2015 using Ordinary Least Square (OLS) regression method to estimate the effects. The study finds that there is an inverse but insignificant relationship between domestic debt and the economic growth of Tanzania as measured by GDP annual growth. The inverse relationship between domestic debt and GDP may be caused by different factors such as; increased trend in domestic borrowing, government lenders’ profile dominated by commercial banks and non-bank financial institutions which promotes the “crowding out” effect; the nature of the instruments used by the government ; the improper use of the domestic borrowed funds which may include funding budgetary deficits, paying up principal and matured obligations on debt, developing financial markets as well as fund other government operations. Other control variables relate with the GDP as predicted. For example, Inflation (INF) has a negative effect on the GDP growth rate, but the relationship is not statistically significant, while gross capital formation (GCF) has a positive statistically significant effect on GDP growth rate. Furthermore, foreign direct investment (FDI) showed a positive effect on the GDP growth rate and export (X) has a positive effect on GDP growth rate, and the relationship is statistically significant explaining that if a country applied an export-led growth economic strategy it enjoys the gains of participating in the world market. This means that an increase in export stimulates demand for goods which leads to increase in output, and as a country’s output increases, the economic performance also takes a similar trend. Finally, government expenditure (GE) had a negative effect on the GDP growth rate which may be explained by the increased government expenditures which are funded by either tax or borrowing. Therefore, what is required for countries like Tanzania is to have better debt management strategies as well as prudential financial management while maintaining to remain within the internationally acceptable debt level of 45% of GDP and maintain a GDP growth rate of not less than 5%. It is important for the country to realize from where to borrow from, the tenure, the risks involved and limitations to borrowing and thus set the right balance of combination of both kinds of debt. Another requirement is to properly utilize the borrowed funds. The central government’s objective should be to use the funds in more development-oriented projects that bring positive returns to the economic development.  The government should not only create a right environment and policies for investment to attract investment from domestic and foreign sources but also be cautious about the kind of investments that the foreign investors make.

scholarly journals INVESTMENT AND ECONOMIC GROWTH: THE EXAMPLE OF BOSNIA AND HERZEGOVINA

2021 ◽  
pp. 21-41
Author(s):  
Jelena Bjelić
Keyword(s):  
Economic Growth ◽  
Growth Rate ◽  
Bosnia And Herzegovina ◽  
Foreign Investment ◽  
Added Value ◽  
Gdp Growth ◽  
Gdp Growth Rate ◽  
Total Investment ◽  
The Impact ◽  
The Relationship

An investment is a factor of the economic growth and a mandatory constituent in the majority of development models. This study analyzes the impact of the gross investment on the economic growth in Bosnia and Herzegovina (BiH) for the period 2005-2017, and provides the assessment of the interdependence of investment and a newly added value in industry. The relationship between the foreign investment and the economic growth is also included. The dependent variables are the GDP growth rate and the added value in industry (as % of GDP). The independent variables are the total investment rate (as % of GDP) and the foreign investment rate (as % of GDP). The hypothesis is that the gross investment and the foreign investment are positively correlated with the GDP growth rate. The investments contribute to a higher newly added value in industry. The results show that the gross investment is a significant factor of the economic growth because there is a high significance and positive correlation between the observed variables (the total investment and the GDP growth). This shows that the investment growth stimulates the economic growth in Bosnia and Herzegovina. But the dynamic analysis as an investment-GDP ratio shows oscillations. The impact of investments on the share of the newly added value in industry is insignificant and negative. The results of the dynamic analysis are similar. The relationship between the variables of the foreign investment rates and the GDP growth is significant and positive. Although the foreign investments are not sufficient, they still contribute, to a certain extent, to the economic growth of BiH.

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