Unbalanced regional growth and regional income inequality in the latter stages of development

This paper empirically examines the pattern of regional income inequality displayed in advanced stages of economic development, building from the convergent phase of the inverted-U hypothesis, originally developed by Kuznets for personal income inequality, but adapted by Williamson for regional income inequality. It is hypothesized that once the inverted-U pattern is completed, regional income inequality increases, rather than remaining stable. Four analyses of intrastate per capital income inequality among countries are undertaken to test the hypothesis that regional inequality increases. Results indicate strong support for the hypothesis that regional income inequality increases in the latter stages of development.     

Does income inequality lead to banking crises in developing countries? Empirical evidence from cross-country panel data

This study empirically examines whether increasing income inequality results in banking crises using panel data for 68 countries covering the years 1973 to 2010. The results show that developing countries with high inequality tend to have higher levels of domestic credit and that domestic credit booms increase the probability of banking crises. We also find that developing economies display direct channels from inequality to banking crises without an association with credit booms. We find no consistent evidence that income inequality contributes to banking crises in advanced economies. In developing countries, the probability of banking crises increases dramatically as income inequality levels increase: The probability of a systemic banking crisis within three years is 9.5% when the Gini is as low as 0.2 in developing countries and increases to 57.4% when the Gini is 0.4. These results are robust to several specifications.     

Urban sector income distribution and economic development

This paper examines the relationship between measures of urban sector inequality and economic development for a sample of 25 developing and newly industrialized countries. A U-shaped relationship is found in which bottom urban quintiles' income shares initially decline and then rise as per capita income increases. This relationship is strengthened when an estimate of urban per capita income replaces national per capita income as the development measure. The curves suggest that per capita incomes of the bottom quintiles will never decline as development proceeds, but may rise only very slowly.     

Business cycles and redistribution: The role of government quality

We study how government quality mediates the relationship between business cycles and redistribution. Our key hypothesis is that the potential of income redistribution to reduce rising inequality levels after an economic crisis depends on government quality. The empirical evidence based on a panel of 46 countries over the period 1996–2016 lends strong support to this hypothesis. We find that macroeconomic recessions promote redistribution of income in high government quality contexts, but they lead to wider economic inequalities in countries with poor quality of government.     

Global estimates of growth–inequality–poverty (GIP) triangle: evidence from World Bank’s classification countries

This study extended the concept of ‘growth–inequality–poverty (GIP) triangle’ by using the principle component approach which allows us to composite different poverty and inequality indicators into one single index that contains most of the useful information from the original dataset. Using the idea of GIP triangle, this study examines the long-run relationship among weighted poverty index (which comprises headcount ratio, poverty gap and squared poverty gap); weighted inequality index (i.e., Watts Index, Gini Index and MLD Index) and average monthly per capita income in the designated 138 countries according to World Bank’s classification over a period of 2005–2010. The data set mainly contain countries’ unit record household survey at least one which is conducted between the countries during the sample period. The regression model encompassing the impact of economic growth and income inequality on poverty reflects that income inequality increases poverty while economic growth decreases poverty. It indicates that the impact of inequality in increasing poverty is a somewhat greater than that of growth in average income in reducing overall poverty in a sample countries. The other regression model encompassing the impact of economic growth and poverty on income inequality showed that the poverty itself is also likely to be a barrier for poverty reduction; and inequality seems to predict lower future growth rates. The final regression model depicting the impact of poverty and income inequality on mean income of the household suggests that poverty itself reduces mean income of the household while income inequality increases economic growth. The results are interesting and simply suggest that whenever social institutions malfunction, the incidence of damage would usually be distributed unevenly over the society’s members.     

URBANIZATION, URBAN CONCENTRATION AND ECONOMIC DEVELOPMENT

An international comparative study of the relations among the process of urbanization, urban concentration and economic development, and income distribution was performed by using data of developing and developed countries. Cross-section analyses at certain time periods for capturing "long-run" effects as well as time-series analyses for some countries for "short-run" effects were done taking advantage of the "rectangular" array of data. There were several interesting results: the pattern of unemployment rate in most developing countries shows an inverted-U shaped curve with respect to the degree of urbanization; the pattern of urban concentration is in the form of an inverted-U with respect to the economic development level; and the degree of inequality of income distribution seems to react in an inverted-U form to the variances in the extent of urbanization.     

Can innovation improve income inequality? Evidence from panel data

Income inequality is a source of social instability and armed conflict, which in turn are detrimental to economic development. This study examines the role of innovation in income inequality in twenty-three developed countries, using a panel mean group estimator that takes cross-sectional dependence into consideration. Three income inequality indicators are used: the Standardized World Income Inequality Database (SWIID), the University of Texas Inequality Project (UTIP), and the Estimated Household Income Inequality (EHII). The innovation indicators are patent applications and patents granted. The empirical results based on the common correlated effect mean group (CCEMG) reveal that innovation widens income inequality. We also investigate whether the innovation–income inequality nexus is subject to a country’s level of globalization and financial development. The findings suggest that the interaction terms between innovation with these two variables have positive effects on income inequality, whereas innovation failed to reduce income inequality. Globalization and financial development are found to drive income inequality. The empirical results are robust to different income inequality and innovation measures as well as estimation techniques.     

Linkages between income inequality,international remittances and economic growth in Pakistan

This paper explores the dynamic linkages between income inequality, international remittances and economic growth using time series data over the period of 1976–2006 in case of Pakistan. The cointegration analysis based on the bounds test confirms the existence of a long-run relationship between income inequality, international remittances and economic growth. Our results reveal that income inequality and international remittances enhance economic growth. The causality analysis based on innovative accounting approach shows bidirectional causal relationship between income inequality and economic growth and same is true for international remittances and income inequality. International remittances are cause of economic growth but not vice versa. Although we find support for Kuznets hypothesis but Pakistan is yet to benefit, in terms of reducing the gaps of income inequality, from the international flow of remittances and economic growth. The paper argues that, from a policy perspective, there is an urgent need for policy makers in Pakistan to reduce the widening gap of income inequality by focusing on income redistribution policies and to go beyond the traditional factors in balancing income inequality.     

Public infrastructure provision and skilled–unskilled wage inequality in developing countries

In this paper, we develop several static three-sector general equilibrium models with diverse labor market structures to investigate the effects of government provision of public infrastructure on the skilled–unskilled wage inequality in developing countries. The basic full employment model shows that the production sectors' relative dependence on the public infrastructure provision plays a crucial role in determining the skilled–unskilled wage inequality. Different relative dependences on public infrastructure may even result in opposite changes in the skilled–unskilled wage inequality. The above results are robust even when we extend the basic full employment model to three fundamentally different cases.     

Distributional implications of informal economy in the EU countries: Accounting for the spread of tax evasion benefits and cultural characteristics

This study provides evidence about the impact of informal economy on income inequality by using annual cross-country panel data from 28 European Union countries observed during the period 2005–2017. Particular attention is dedicated to the cultural setting which is expected to impact taxpayers’ behaviour and thereby income distribution. The study reveals a relationship between the size of the underground economy and income inequality, which is negative when approaching domestic informality and positive when international tax evasion by individuals is related to the top-bottom income disparity. Moreover, a delay of one-year is needed for these effects to occur, sustaining the hypothesis of secondary consequences of the informality. The study also shows that a set of cultural peculiarities are relevant for the nexus of international tax evasion by individuals and income polarisation. The inequality enhancing effect of the offshore activities is larger in countries with high degree of uncertainty avoidance and power distance, and low level of indulgence and long-term orientation respectively.     

DOES FDI ACTUALLY AFFECT INCOME INEQUALITY? INSIGHTS FROM 25 YEARS OF RESEARCH

While there are 25 years of empirical research on how FDI may affect income inequality, there is surprisingly no consensus on this issue. In this paper, we conduct a meta-analysis on the effect of FDI on inequality using 543 empirical studies from 1995 to 2019. Among various factors, we find that the development level of the study country has the strongest influence on the direction in which FDI affects income inequality. When the primary studies are sorted into three groups based on the GDP per capita of their sample areas, the within-group estimates on the effect of FDI on income inequality become strongly consistent with each other. Particularly, we find that FDI is associated with higher inequality for the low-income group, has no statistically significant effect for the middle-income group, and is associated with lower inequality for the high-income group. This observation suggests that FDI may increase income inequality as a country initially develops, but reduce inequality as development deepens.     

IFRS,financial development and income inequality: An empirical study using mediation analysis

Income inequality continues to be an issue of concern. Early work on economic development suggested that, as a country’s economy grows, incomes would rise and reduce any income disparities. However, there is growing evidence that as countries develop, income inequality actually worsens. Some studies argue that this is the result of financial development and the growth of the financial sector. Although there is a good deal of empirical research on the relationship between financial development and income inequality, there is no prior work that examines how accounting standards, in particular International Financial Reporting Standards (IFRS), might influence this relationship. This study examines the relationship of IFRS and financial development with income inequality using mediation analysis over the period from 1998 to 2018. The results indicate that the impact of IFRS on income inequality is mediated by financial development. Moreover, there is a direct relationship between IFRS and inequality.     

Does GINI respond to income volatility in an asymmetric manner? Evidence from 41 countries

Previous studies that assessed the impact of income volatility (as a measure of economic uncertainty) on income inequality relied upon either cross-sectional data or panel data, mostly due to the lack of sufficient time-series observations. Now that enough time-series observations are available for many countries, we revisit the issue and assess the possible asymmetric effects of income volatility on income inequality in each of the 41 countries. We find short-run asymmetric effects in almost all countries, short-run impact asymmetric effects in 20 countries, and long-run asymmetric effects in 21 countries. There was much less support when we engaged only in symmetric analysis.     

Inequality and Crime: Separating the Effects of Permanent and Transitory Income*

Earlier studies on income inequality and crime have typically used total income or total earnings. However, it is quite likely that it is the changes in permanent rather than in transitory income that affects crime rates. The purpose of this paper is therefore to disentangle the two effects by, first, estimating region‐specific inequality in permanent and transitory income and, second, estimating crime equations with the two separate income components as explanatory variables. The results indicate that it is important to separate the two effects; while an increase in the inequality in permanent income yields a positive and significant effect on total crimes and three different property crimes, an increase in the inequality in transitory income has no significant effect. Using a traditional, aggregate, measure of income yields insignificant effects on crime.     

The Effect of Income Distribution on the Ability of Growth to Reduce Poverty: Evidence from Rural and Urban African Economies

The present study examines the extent to which income distribution affects the ability of economic growth to reduce poverty, based on 1990s data for a sample of rural and urban sectors of African economies. Using the basic‐needs approach, an analysis‐of‐covariance model is derived and estimated, with the headcount, gap, and squared gap poverty ratios serving as the respective dependent variables, and the Gini coefficient and PPP‐adjusted incomes as explanatory variables. The study finds that the responsiveness of poverty to income growth is a decreasing function of inequality, albeit at varying rates for the three poverty measures: lowest for the headcount, followed by the gap and fastest for the squared gap. The ranges for the income elasticity in the sample are estimated at: 0.02–0.68, 0.11–1.05, and 0.10–1.35, respectively, for these poverty measures. Furthermore while, on average, the responsiveness of poverty to income growth appears to be the same between the rural and urban sectors, there are substantial sectoral differences across countries. The results suggest the need for country‐specific emphases on growth relative to inequality.     

Best-Worst PROMETHEE method for evaluating school performance in the OECD's PISA project

This paper introduces the Best-Worst PROMETHEE method, which avoids the rank reversal problem of other PROMETHEE methods. We use this new technique to rank schools in the Programme for International Student Assessment (PISA). We consider three separate outputs, provided by average student attainments in mathematics, language, and sciences. Our sample comprises 16,500 schools in 66 countries, and our results show significant differences between school performance both within and between countries. The top half of the ranking mainly comprises European and Asian countries, while the bottom half includes many North African, Middle Eastern, and South American countries. We find no strong association between inequality between schools and the country-level performance, suggesting the absence of a trade-off between equity and performance in education. The Best-Worst PROMETHEE is a generic method that can be used to support decisions in strategic sectors with multidimensional outcomes.     

Bridging Africa’s income inequality gap: How relevant is China’s outward FDI to Africa?

This study examines whether: (i) the remarkable inflow of Chinese FDI to Africa matters for bridging the continent’s marked income inequality gap, (ii) Africa’s institutional fabric is effective in propelling Chinese FDI towards the equalisation of incomes in Africa and (iii) there exist relevant thresholds required for the various governance dynamics to cause Chinese FDI to equalise incomes in Africa. Our results, which are based on the dynamic GMM estimator and macrodata for 48 African countries, reveal the following. First, although Chinese FDI contributes to fairer income distribution in Africa, the effect is weak. Second, although Africa’s institutional fabric matters for propelling Chinese FDI towards the equalisation of incomes across the continent, governance mechanisms for ensuring political stability, low corruption, and voice and accountability are critical. Finally, the critical masses required for these three key governance dynamics to cause Chinese FDI and other income inequality-reducing modules to reduce income inequality are 0.8, 0.5 and 0.1, respectively. These critical masses are thresholds at which governance is necessary but no longer sufficient to complement Chinese FDI to mitigate income inequality. Hence, at the attendant thresholds, complementary policies are worthwhile. Policy recommendations are provided in the conclusion.     

The dynamics of regional inequalities

This paper analyses the link between regional inequalities and GDP per capita at the country-level. Our starting hypothesis is that the evolution of regional inequalities should follow a bell-shaped curve as national GDP per capita rises since growth by its very nature is unlikely to appear everywhere at the same time, as has been argued by a number of authors, from Kuznets [Kuznets, S., (1955), Economic growth and income inequality, American Economic Review 45(1), 1–28] to Lucas [Lucas, R.E., (2000), “Some macroeconomics for the 21st century”, Journal of Economic Perspectives 14 (1), 159–168]. We test this hypothesis econometrically using semi-parametric estimation techniques and regional data for a panel of European countries. Our results provide strong support for such a bell-shaped curve and are robust to changing the regional administrative units and the time period, as well as controlling for other possible determinants of regional inequalities. We also find support for this hypothesis when considering non-European countries.     

Does more finance mean more inequality in times of crisis?

Many recent empirical studies show that both banking crises and financial development (FD) play an important role in understanding the dynamics of income inequality (IncI) over the last decades. However, so far no study has investigated the role of FD in the amplification of IncI following banking crises. This paper seeks to address this issue based on a sample of 69 banking crises in 54 countries over the 1977–2013 period. Our analysis suggests that FD is associated with a significant increase in IncI in the aftermath of banking crises. This result is robust to a broad range of alternative specifications and is unaffected by various potential sources of endogeneity. We also show that the relationship between FD and the redistributive consequences of banking crises is not subject to a threshold effect and is stronger for developing countries.     

STATISTICAL INFERENCE VIA BOOTSTRAPPING FOR MEASURES OF INEQUALITY

In this paper we consider the use of bootstrap methods to compute interval estimates and perform hypothesis tests for decomposable measures of economic inequality. Two applications of this approach, using the Gini coefficient and Theil's entropy measures of inequality, are provided. Our first application employs pre- and post-tax aggregate state income data, constructed from the Panel Study of Income Dynamics. We find that although casual observation of the inequality measures suggests that the post-tax distribution of income is less equal among states than pre-tax income, none of these observed differences are statistically significant at the 10% level. Our second application uses the National Longitudinal Survey of Youth data to study youth inequality. We find that youth inequality decreases as the cohort ages, but between age-group inequality has increased in the latter half of the 1980s. The results suggest that (1) statistical inference is essential even when large samples are available, and (2) the bootstrap procedure appears to perform well in this setting. © 1997 by John Wiley & Sons, Ltd.