Scaling of Urban Income Inequality in the USA

2021 ◽  
Author(s):  
Elisa Heinrich Mora ◽  
Cate Heine ◽  
Jacob Jackson ◽  
Geoffrey West ◽  
Vicky Chuqiao Yang ◽  
...  
Keyword(s):  
Income Inequality ◽  
The Usa ◽  
Urban Income

scholarly journals Fiscal Implications for Rural-Urban Income Inequality: The Case of Pakistan

2021 ◽  
Vol IX (Issue 2) ◽  
pp. 246-259
Author(s):  
Khalil Ahmad ◽  
Safdar Ali ◽  
Ayesha Haider ◽  
Muhammad Shahid ◽  
Muhammad
Keyword(s):  
Income Inequality ◽  
Urban Income ◽  
Fiscal Implications

scholarly journals Association Between State-Level Income Inequality and COVID-19 Cases and Mortality in the USA

2020 ◽  
Vol 35 (9) ◽  
pp. 2791-2793 ◽  
Author(s):  
Carlos Irwin A. Oronce ◽  
Christopher A. Scannell ◽  
Ichiro Kawachi ◽  
Yusuke Tsugawa
Keyword(s):  
Income Inequality ◽  
State Level ◽  
The Usa

Military Expenditures and Income Inequality

2018 ◽  
pp. 192-210
Author(s):  
Buhari Doğan ◽  
Muhlis Can ◽  
Osman Değer
Keyword(s):  
Income Inequality ◽  
Income Distribution ◽  
Unit Root ◽  
Cointegration Analysis ◽  
Kuznets Curve ◽  
Factors Affecting ◽  
The Usa ◽  
Military Expenditures ◽  
The Military ◽  
The Impact

Regardless of their level of developments, the income distribution problem is one of the most important economic and social problems the countries face. In recent years, scholars have performed multiple studies to determine the factors affecting income distribution. The purpose of this chapter is to examine the impact of military expenditures on income inequality in a sample of North American countries (the USA, Canada, and Mexico), within the context of the Kuznets curve. The study covers between 1995-2013. In unit root Peseran approach, in cointegration analysis, Durbin-Hausmann approach were employed. The findings show that the coefficient of the military expenditures series is positive and the coefficient of square of the military expenditures is negative. This situation shows that military expenditures first increase and then reduce income inequality. Findings indicate that there is an inverse “U” relationship between military expenditures and income inequality. Moreover, it has been detected that as economic growth increases income inequality decreases.

Does Population Aging Affect Income Inequality?

2021 ◽  
pp. 320-335
Author(s):  
Gürçem Özaytürk ◽  
Ali Eren Alper ◽  
Fındık Özlem Alper
Keyword(s):  
Income Inequality ◽  
Pension System ◽  
Positive Impact ◽  
Population Aging ◽  
The Elderly ◽  
Dependency Ratio ◽  
Long Run ◽  
The Usa ◽  
The Uk ◽  
The Relationship

This study analyzes the relationship between the elderly dependency ratio and income inequality over the period 1972-2019 in countries such as the USA, Japan, the UK, France, Germany, Canada, and Italy, which rank top in the population aging, using the Fourier-Shin cointegration test. According to the results, the rise in the elderly dependency ratio of all countries included in the analysis, except for France, has a positive impact on income inequality. The result implying that the rise in the elderly dependency ratio increases the income inequality and renders some policy recommendations possible. Accordingly, the provision of adequate childcare programs and family aids can result in greater labor force participation in the short- and long-run. In addition, a pension system can be developed to lower the elderly dependency ratio, more money can be saved for the retirement period, and working domains can be developed for the post-retirement period.

Investigating the interlinkages between infrastructure development, poverty and rural–urban income inequality

2017 ◽  
Vol 34 (4) ◽  
pp. 466-484 ◽  
Author(s):  
Varun Chotia ◽  
N.V.M. Rao
Keyword(s):  
Economic Growth ◽  
Income Inequality ◽  
Poverty Reduction ◽  
Ordinary Least Squares ◽  
Infrastructure Development ◽  
Content Type ◽  
Long Run ◽  
Integration Test ◽  
Urban Income ◽  
The Relationship

Purpose The purpose of this paper is to investigate the relationship between infrastructure development, rural–urban income inequality and poverty for BRICS economies. Design/methodology/approach Pedroni’s panel co-integration test and panel dynamic ordinary least squares (PDOLS) have been used to carry out the analysis. Findings The empirical findings confirm a long-run relationship among infrastructure development, poverty and rural–urban inequality. The PDOLS results suggest that both infrastructure development and economic growth lead to poverty reduction in BRICS. However, rural–urban income inequality aggravates poverty in these nations. The paper advocates for adopting policies aimed at strengthening infrastructure and achieving economic growth to reduce the current levels of poverty prevailing in the BRICS nations. Originality/value Significant limitations exist in the literature in terms of not clearly defining the nature of relationship and interlinkages between infrastructure development, poverty and inequality, with regard to the BRICS nations. The available studies mainly focus on the relationship between infrastructure and growth, with the universal agreement being that these two are positively related. However, it is still not right to assume that economic growth attributable to infrastructure development will, therefore, subsequently lead to a reduction in inequality. This forms the basis for this study, that is, to critically examine the relationship between infrastructure development, inequality and poverty for BRICS nations.

Poverty and child (0–14 years) mortality in the USA and other Western countries as an indicator of “how well a country meets the needs of its children” (UNICEF)

2011 ◽  
Vol 23 (3) ◽  
Author(s):  
Colin Pritchard ◽  
Richard Williams
Keyword(s):  
Health Care ◽  
Income Inequality ◽  
Child Mortality ◽  
World Health Organisation ◽  
Mortality Rates ◽  
World Health ◽  
Relative Poverty ◽  
Western Countries ◽  
Income Inequalities ◽  
The Usa

Abstract Background: Children’s (0–14 years) mortality rates in the USA and 19 Western countries (WCs) were examined in the context of a nation-specific measure of relative poverty and the Gross Domestic Product Health Expenditure (GDPHE) of countries to compare the effectiveness and efficiency of health care systems “to meet the needs of its children” (UNICEF). Method: World Health Organisation child mortality rates per million were analysed for 1979–1981 and 2003–2005 to determine any significant differences between the USA and the other WCs over these periods. Child mortality rates are correlated with all countries GDPHE and ‘relative poverty’, defined by ‘Income Inequalities’, i.e., the gap between top and bottom 20% of incomes. Findings: Outputs: The mortality rate of every country fell substantially ranging from falls of 46% in the USA to 78% in Portugal. The highest current mortality rates are: USA, 2436 per million (pm), New Zealand 2105 pm, Portugal 1929 pm, Canada 1877 pm and the UK 1834 pm; the lowest are: Japan 1073 pm and Sweden 1075 pm, Finland 1193 pm and Norway 1200 pm. A total of 16 countries rates fell significantly more than the USA over these periods. Inputs: The USA had the greatest GDPHE and widest Income Inequality gap. There was no significant correlation between GDPHE and mortality but highly significant correlations with children’s deaths and income inequalities. The five widest income inequality countries had the six worst rates, the narrowest four had the lowest. Conclusions: Despite major improvements in every WC, based upon financial inputs and child mortality outputs, the USA health care system appears the least efficient and effective in “meeting the needs of its children”.

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