Corruption, Growth, and Income Distribution: Are there Regional Differences?

This paper uses panel data from 61 countries at different stages of economic development over a 20-year period to investigate regional differences in the effect of corruption on economic growth and income distribution. Using two measures of corruption, we find that there are statistically significant regional differences in the growth and distributional impacts of corruption. The largest growth impact of corruption is found in African countries while OECD and Asian countries have the lowest growth impact. On the other hand, the largest distributional impact of corruption in found in Latin America. A 10% decrease in corruption increases the growth rate of income by about 1.7% in OECD and Asian countries, 2.6% in Latin American countries, and by 2.8% in African countries. A one standard deviation decrease in corruption decreases the gini coefficient of income distribution (0–1 scale) by 0.05 points, 0.14 points, 0.25 points, and 0.33 points in OECD, Asian, African, and Latin American countries, respectively. The results are robust to various specifications, measurement of corruption, measures of investment, as well as the conditioning variables. The results have interesting policy implications for economic growth, especially in low income countries with high rates of corruption.     

Does corruption affect income inequality and poverty?

This paper provides evidence that high and rising corruption increases income inequality and poverty. An increase of one standard deviation in corruption increases the Gini coefficient of income inequality by about 11 points and income growth of the poor by about 5 percentage points per year. These findings are robust to use of different instruments for corruption and other sensitivity analyses. The paper discusses several channels through which corruption may affect income inequality and poverty. An important implication of these findings is that policies that reduce corruption will most likely reduce income inequality and poverty as well. Received: March 2, 2000 / Accepted: September 20, 2001     

Corruption control,shadow economy and income inequality: Evidence from Asia

Developing countries often suffer from high corruption, high income inequality and poor institutional arrangements that give rise to large shadow economies. Earlier evidence shows that shadow economies moderate the negative effects of corruption on income inequality in highly unequal South American countries. For Asia, we show that the persistence of shadow economies raises inequality even if corruption control is strong. Supported by static and dynamic panel data analyses of 21 countries in Asia between 1995 and 2015, we show that in order to combat rising inequality, corruption control must be complemented by the ability to translate secondary and tertiary school enrolment into industrial and, more importantly, service sector jobs. Countries with low corruption but high inequality can reduce inequality by committing to higher public consumption expenditures. Further, combining greater trade openness with low corruption lowers inequality, except for countries in South Asia.     

Health human capital and economic growth in Sub-Saharan African and OECD countries

This paper investigates the effects of health human capital on the growth rate of per capita income in Sub-Saharan African and OECD countries. Using an expanded Solow growth model, panel data, and a dynamic panel estimator, we find that the growth rate of per capita income is strongly and positively influenced by the stock of, and investment in, health human capital after controlling for other variables. The stock of health human capital affects the growth rate of per capita income in a quadratic way: the growth impact of health human capital decreases at relatively large endowments of health stock. Our estimates suggest that 22% and 30% of the transition growth rate of per capita income in Sub-Saharan African and OECD countries respectively, can be attributed to health. The structure of the relationship between health human capital and the growth rate of income in Sub-Saharan African countries is similar to the structure of the relationship in OECD countries. This implies that increased stocks of health human capital leads to higher steady state income. Our results have interesting policy implications.     

Corruption in transition economies: Socialist,Ottoman or structural?

Using data from 64 countries in Eastern Europe and MENA, I study the long-run effects of Ottoman and socialist rule on the incidence of corruption. To proxy Ottoman legacies, I estimate the length of Ottoman rule across all Ottoman successor states. Conditioning on income per capita, I find a robust adverse effect of both socialist and Ottoman legacies on present day corruption – a finding which reconciles two rival accounts of post-socialist corruption from the transition literature. The results are robust to controlling for potential confounders and instrumenting for both per capita income and the length of Ottoman rule. However, the explanatory power of long-run historical determinants of corruption is lower than the contribution of short-run factors. While present day income explains about half of the total variation in corruption across post-socialist countries, Ottoman and socialist legacies jointly account for about one third. Although history does matter, these findings suggest that most of the corruption observed in Eastern Europe, Central Asia and the Balkans today may not be inherently ‘eastern’ or socialist. Rather, the data are consistent with an interpretation of corruption predominantly as a manifestation of persistent economic under-development.     

The macroeconomic implications of corruption in the choice to educate

Educational corruption is a worldwide phenomenon, yet its macroeconomic implications are largely unknown. We formulate a fixed-price bribe model to explore the impact educational corruption may have on growth, income inequality and other factors. When using aggregate ability as our measure of growth, our model produces a v-shaped relationship between growth and corruption, suggesting that corruption is detrimental to growth at lower levels of bribery, but growth enhancing at greater levels. A cross-section of countries is used to empirically test our model and provides qualitative support for our modeling structure. Distributional analysis reveals that an increased prevalence of corruption leads to greater income inequality and reduces the ability of education to signal quality.     

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.     

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.     

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.     

Is corruption bad for economic growth? Evidence from Asia-Pacific countries

This study utilizes the bootstrap panel Granger causality approach, which incorporates both cross-sectional dependence and heterogeneity across countries, to investigate whether corruption negatively impacts economic growth in thirteen Asia-Pacific countries over the 1997–2013 period. The empirical results show that there is a significantly positive causality running from corruption to economic growth in South Korea, a significantly positive causality running from economic growth to corruption in China and no significant causality between corruption and economic growth for the remaining countries. According to the empirical results, we do not support the common perception that corruption is bad for economic growth for all thirteen Asia-Pacific. On the contrary, results of this study suggest that the “grease the wheels” hypothesis is supported for South Korea. Additionally, results of this study indicate that for most Asia-Pacific countries, policy makers’ use of anti-corruption policies to promote a country's economic development may not be effective. Finally, results of this study also suggest that for China, increase in economic growth leads to an increase in corruption.     

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.     

Development patterns of oil exporting countries

This study analyzes empirically the impact of rising income levels on the economic structure of several oil producing and exporting countries during the 1970s and early 1980s. The results indicate that the agricultural sector showed declining rates of growth, and negative growth elasticities were indicated by nine of the ten countries included in this study. On the other hand, the industrial sector in all countries showed positive growth to varying degrees. However, this growth may be more policy-induced than real growth. Disparity and inequality ratios were highest in Middle East and North African countries.     

Re-examining the relationship between economic growth and inequality in the New Member States

The link between income inequality and economic growth has raised many debates in the literature and has generated a large spectrum of results over time. This paper aims at analyzing the relationship between economic growth and income inequality, as well as their macroeconomic and institutional determinants in the New Member States, between 2000 and 2009. In the presence of a set of explicative variables, the economic growth influences the social inequality through a U-shaped relationship. Health, education and gross capital formation generate different direct and indirect effects on income inequality as the per capita GDP growths, while the transition indicators are found to be either common or specific determinants of inequality and growth.     

Development threshold,capital flows,and financial turbulence

We study capital flows in a panel of 130 countries, and derive the implications for the observed patterns of capital flows and capital controls before and into the crisis of 2008–11. We find that the size of capital flows is positively correlated with country's income level. In addition, capital flight has a non-linear relationship with the income level. Using the Hansen threshold estimation, we identify a three-stage threshold effect: for low-income countries (GDP per capita below US$ 3,000), capital flight increases as the income level rises; and only after the economy passes a threshold level (GDP per capita above US$ 5,000), capital flight declines with income. We conclude with a case study of Brazil and Korea, observing that the decisions to implement capital control measures tend to be pushed around by the feedbacks among economic growth, currency appreciation, and the global financial conditions.     

Boom, bust, and the poor: Poverty dynamics in the Middle East and North Africa, 1970–1999

This paper analyzes changes in poverty and inequality in the Middle East and North Africa. It finds that the structural relationship between poverty reduction, income growth and distribution is the same for MENA and other developing economies. Prior to 1985 rapid growth sharply reduced poverty. After 1985, despite very low income growth, a rising share of income accruing to the lowest quintile meant that the average income of the poor rose more rapidly than that of the non-poor. These unusual poverty dynamics were primarily due to international migration. Remittances both increased per capita incomes in labor exporting countries and increased the share of income accruing to the poor.     

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.     

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.     

Gender discrimination in education,health, and labour market: a voice for equality

The objective of the study is to examine the impact of gender discrimination in education, health, and labour market on economic growth in a panel of 20 high-income OECD countries for the period of 1980–2015. In addition, the study proposed an index of pro-equality growth, which is flared with education, health, and labour market initiatives to promote economic growth. The results show that gender parity index for educational attainment significantly promotes economic growth while health and labour market required substantial policy reforms to reduce health and labour market inequalities to sustain long-term economic growth. The results classified three countries as highly equitable growth, one country for equitable growth, two countries are moderate growth, four countries are less equitable growth while remaining 10 countries fall in the category of inequitable growth, where greater inequality promotes economic growth on the cost of education, health, and labour market inequalities.     

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.     

EXPORTS, URBAN GROWTH, AND ECONOMIC GROWTH IN SUB-SAHARAN AFRICAN COUNTRIES

Several cross-countries regression analyses have revealed that exports positively contribute to economic growth in less developed countries, implying that apart from the increases in the stocks of labor and capital, growth can also be stimulated by reallocating resources from the less efficient non-export sector to the more productive export sector. This paper re-specifies the relation between exports and economic growth for non-urban goods exporting African countries. The impact of exports on the growth rate of national income is analyzed along with that of the growth of population in the urban region.