REDUCING INCOME INEQUALITY WHILE BOOSTING ECONOMIC GROWTH: CAN IT BE DONE? EVIDENCE FROM OECD COUNTRIES

2014 ◽  
Vol 59 (01) ◽  
pp. 1450001 ◽  
Author(s):  
PETER HOELLER ◽  
ISABELLE JOUMARD ◽  
ISABELL KOSKE
Keyword(s):  
Economic Growth ◽  
Labor Market ◽  
Income Inequality ◽  
Oecd Countries ◽  
Gdp Per Capita ◽  
Labor Market Institutions ◽  
Policy Reforms ◽  
Market Institutions ◽  
Trade Off ◽  
Per Capita

This paper identifies inequality patterns across Organisation for Economic Co-operation and Development (OECD) countries and provides new analysis of their policy and non-policy drivers. One key finding is that education and anti-discrimination policies, well-designed labor market institutions and large and/or progressive tax and transfer systems can all reduce income inequality. On this basis, the paper identifies several policy reforms that could yield a double dividend in terms of boosting GDP per capita and reducing income inequality, and also flags other policy areas where reforms would entail a trade-off between both objectives.

scholarly journals Symmetric and Asymmetric Impact of Poverty, Income Inequality, and Population on Carbon Emission in Pakistan: New Evidence From ARDL and NARDL Co-Integration

2021 ◽  
Vol 9 ◽  
Author(s):  
Salim Khan ◽  
Wang Yahong
Keyword(s):  
Economic Growth ◽  
Income Inequality ◽  
Environmental Degradation ◽  
Carbon Emissions ◽  
Carbon Emission ◽  
Policy Implications ◽  
Gdp Per Capita ◽  
Long Run ◽  
Asymmetric Impact ◽  
Per Capita

Several researchers have studied the relationship between poverty and environmental degradation, as these concerns are remained at top priority in achieving Sustainable Development Goals (SDGs). However, the symmetric and asymmetric impact of poverty and income inequality along with population and economic growth on carbon emissions (CO2e) has not been studied in the case of Pakistan. For this purpose, the short and long-run impact of poverty, income inequality, population, and GDP per capita on CO2e investigated by applying the Autoregressive Distributive Lag (ARDL) along with Non-linear Autoregressive Distributive Lag (NARDL) co-integration approach in the context of Pakistan for period 1971–2015. The symmetric results of the current study show poverty and population density along with GDP per capita increase carbon emissions in both the short and long-run, while income inequality has no impact on carbon emissions in the short-run. While in the long-run the symmetric results show that income inequality weakens environmental degradation in terms of carbon emissions. The analysis of NARDL also supports the results obtained from ARDL and suggests a positive effect of poverty, population, and economic growth on carbon emission in Pakistan. The empirical findings of the current study provide policy implications in light of the United Nation's SDGs for the development of Pakistan.

scholarly journals Does economic growth positively affect income inequality in China?

2015 ◽  
Vol 8 (1) ◽  
Author(s):  
Xun Ding ◽  
Tian Dong ◽  
Yanjie Xu ◽  
Zhi Zheng
Keyword(s):  
Economic Growth ◽  
Income Inequality ◽  
World Bank ◽  
Gini Index ◽  
Positive Relationship ◽  
Alternative Hypothesis ◽  
Gdp Per Capita ◽  
Urban Rural ◽  
Per Capita ◽  
The Relationship

This report focuses on the relationship between the economic growth and income inequality in China. The hypothesis is that economic growth led to an increase in income inequality in China. The alternative hypothesis is that economic growth led to a decrease in income inequality in China. After analysing GDP per capita and the GINI index from World Bank, the results show a positive relationship between economic growth and income inequality. Additionally, this report also would measure the influence of monopoly power and the disposable income of urban/rural households to further support the hypothesis.

scholarly journals Inequality in the Income of the Population as a Determinant of the Country's Economic Growth

2020 ◽  
Vol 68 (6) ◽  
pp. 987-994
Author(s):  
Tamara Kocurová ◽  
David Hampel
Keyword(s):  
Economic Growth ◽  
Cluster Analysis ◽  
Regression Analysis ◽  
Income Inequality ◽  
Economic Performance ◽  
Negative Impact ◽  
Gdp Per Capita ◽  
Ratio Analysis ◽  
Eu Countries ◽  
Per Capita

In this article, there is explored the dependence of economic performance and economic growth on income inequality expressed by Gini coefficient and S80/S20 ratio. Analysis is based on data collected upon EU countries in years 2007, 2012 and 2017. Cluster analysis points out to heterogeneity of EU countries in observed characteristics and enables creation of three groups of countries: post-socialistic, southern and northern. Regression analysis, which takes into account groups of countries, was used to assess and illustrate the dependence. The results show that income inequality has a negative impact on the country's GDP per capita, and its impact on economic growth differs for particular groups of countries.

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