GROWTH, POVERTY, AND INEQUALITY IN LATIN AMERICA: A CAUSAL ANALYSIS, 1970–94

Taking advantage of consistent poverty and income inequality data for 12 Latin American countries between 1970 and 1994, we analyze the determinants of changes in the incidence of urban and rural poverty and in Gini coefficients over spells of years, stressing in particular the role of aggregate income growth. We find that income growth reduces urban and rural poverty but not inequality. We also find that income growth is more effective in reducing urban poverty if the levels of inequality and poverty are lower, and the levels of secondary education higher. We show that there is an asymmetry in the impact of growth on poverty and inequality, with recession having strong negative effects on both poverty and inequality. Since growth does not reduce inequality, economic cycles create ratchet effects on the level of inequality. However, post-structural adjustment growth is quite effective at reducing poverty, particularly if inequality is low.     

Does microfinance affect income inequality?

This study addresses the question whether participation of the poor in microfinance contributes to reducing a country’s level of income inequality. Using data from 70 developing countries, we show that higher levels of microfinance participation are indeed associated with a reduction of the income gap between rich and poor people. We also show, however, that the effects of microfinance on reducing income inequality are relatively small. The results of this study add to the discussion on the impact of microfinance on poverty by showing that, although access to microfinance does seem to improve the relative income position of the poor, this improvement is modest, which is probably because the use of microfinance is generally small as compared to the size of the economy of the countries in our sample. Microfinance should, therefore, not be seen as a panacea for bringing down income inequality in a significant way.     

Income and Wealth Inequality in Asia and the Pacific: Trends,Causes, and Policy Remedies

The Asia–Pacific region's rapid growth and poverty reduction in recent decades have been accompanied by rising income and wealth inequality. Technological progress, globalization, deregulation and market-oriented reform, and financialization have generated many new opportunities, but rewarded capital more than labor, benefited skilled workers more than the unskilled, widened spatial inequality, and produced a growing number of the superrich. For some countries, population aging has also contributed to rising inequality. The present paper provides an update on recent trends of income and wealth inequality in the Asia–Pacific region, examines causes behind rising inequality, and discusses policy actions needed to tackle inequality. It also assesses how the COVID-19 has likely worsened inequality in the region.     

Dynamic and long-term linkages among agricultural and non-agricultural growth,inequality and poverty in developing countries

Drawing upon cross-country panel data for developing countries, the present study examines the role of agricultural growth in reducing inequality and poverty by modelling the dynamic linkage between agricultural and non-agricultural sectors. For this purpose, we have compared the roles of agricultural and non-agricultural growth and have found that agricultural growth is more important in reducing poverty, while the negative effect of agricultural growth on inequality is found in a few cases where specific definitions of inequality are adopted. Our analysis generally reinforces the case for revival of agriculture in the post-2015 discourse, contrary to much-emphasised roles of rural–urban migration and urbanisation as main drivers of growth and elimination of extreme poverty.     

Income inequality and colonialism

This paper proposes that colonialism is a major explanation behind today's differences in income inequality across countries. We argue that income inequality has been higher in the colonies where the percentage of European settlers to total population was higher, as long as Europeans remained a minority. The countries where Europeans became the majority of the population did not suffer from high inequality. These initial differences continue to hold today. The empirical evidence we provide strongly supports our thesis.     

Not by growth alone: The role of the distribution of income in regional diversity in poverty reduction

This study examines the role of the distribution of income in determining the responsiveness of poverty to income growth and changes in income inequality using panel data of 58 developing countries for the period 1980-1998. We show that the large cross-regional variation in the capacity of income growth to reduce poverty, i.e. the income elasticity, is largely explained by differences in the initial distribution of income and present region and time specific estimates of the income and Gini elasticities of poverty. We find that the income elasticity of poverty in the mid-1990s equals −1.31 on average and ranges from −0.71 for Sub-Saharan Africa to −2.27 for the Middle East and North Africa, and that the Gini elasticity of poverty equals 0.80 on average and ranges from 0.01 in South Asia to 1.73 in Latin America. Furthermore we show that while differing income growth rates account for most of the regional diversity in poverty trends, the additional impact of differences across regions in rates of inequality change and income and inequality elasticities of poverty is almost always significant and far too large to be ignored, most notably so in Eastern Europe and Central Asia.     

Can Income Inequality be Affected by the Interaction Between ICTs and Human Capital?: The Evidence from Developing Countries

Income inequality in developing countries remains a major concern. It has been established that higher inequality makes a greater proportion of the population vulnerable to poverty. This paper aimed to analyse the effect of the interaction between ICTs and human capital on income inequality in developing countries. Covering 89 developing countries for the period 2000 to 2015 and based on panel fixed effects instrumental variables technique, this study finds that the interaction between ICTs and human capital reduces overall income inequality on the one hand, and on the other, leads to an increase in the income shares of the poorest, and in particular relative to the richest in developing countries. Furthermore, the interaction between ICTs and human capital reinforces the impact of ICTs on income inequality in developing countries. These results suggest that prioritizing the acquisition of human capital by the poorest, as well as promoting access to and use of ICTs for the benefit of the poorest would significantly contribute to reduce overall income inequality and increase income shares of the poorest in developing countries.

     

Expanding New York State's Earned Income Tax Credit Programme: the effect on work,income and poverty

Given its favourable employment incentives and ability to target the working poor, the Earned Income Tax Credit (EITC) has become the primary antipoverty programme at both the federal and state levels. However, when evaluating the effect of EITC programmes on income and poverty, governments generally calculate the effect using simple accounting, where the value of the state or federal EITC benefit is added to a person's income. These calculations omit the behavioural incentives created by the existence of these programmes, the corresponding effect on labour supply and hours worked, and therefore the actual effect on income and poverty. This article simulates the full effect of an expansion of the New York State EITC benefit on employment, hours worked, income, poverty and programme expenditures. These results are then compared to those omitting labour supply effects. Relative to estimates excluding labour supply effects, the preferred behavioural results show that an expansion of the New York State EITC increases employment by an additional 14?244 persons, labour earnings by an additional $95.8 million, family income by an additional $84.5 million, decreases poverty by an additional 56?576 persons and increases costs to the State by $29.7 million.     

收入增长和分配对我国农村减贫的影响-方法、特征与证据

改革开放30年来,在农村居民收入水平快速增长的大背景下,农村减贫进程却表现出明显的波动性和不一致性。基于此,本文在贫困分解的基础上,运用贫困弹性的动态特征,从理论和实证的角度探讨了收入增长和收入分配对贫困减少的影响,解释上述问题。文章发现:(1)人均收入水平越高,贫困越有可能和收入不平等联系在一起;(2)收入不平等越严重的地区,贫困对收入不平等的反应越迟钝;(3)1998年是我国农村反贫困性质发生改变的拐点。文章建议,今后农村反贫困政策的重点应从以促进收入增长的开发式扶贫向以改善收入分配为重点的社会保护式扶贫政策转变。     

Industrialization and spatial income inequality in rural China, 1986-921

Rural industrialization has been a dominant factor responsible for China's rapid economic growth over the last 18 years, but it has been accompanied by increased inter-regional income inequality. Using the most recent rural income data and two alternative Gini coefficient decomposition methods, this study finds that income inequality, especially inter-regional income inequality increased significantly in the period 1986-92. More than half of national income inequality was due to its inter-provincial component, and three quarters of inter-provincial inequality was due to its inter-zonal component. Uneven development of township and village enterprises has been a major cause of increased regional income inequality.     

EQUIVALENCE SCALES, WELL-BEING, INEQUALITY, AND POVERTY: SENSITIVITY ESTIMATES ACROSS TEN COUNTRIES USING THE LUXEMBOURG INCOME STUDY (LIS) DATABASE

The Luxembourg Income Study (LIS) database on which this article is based offers researchers exciting new possibilities for international comparisons based on household income microdata. Among the choices the LIS microdata allows a researcher, e.g. income definition, income accounting unit, etc., is the choice of family equivalence scale, a method for estimating economic well-being by adjusting income for measurable differences in need.
The range of potential equivalence scales that can and are being used in the ten LIS countries and elsewhere to adjust incomes for size and related differences in need span a wide spectrum. The purpose of this paper is to review the available equivalence scales and to test the sensitivity of various income inequality and poverty measures to choice of equivalence scale using the LIS database. The results of our analysis indicate that choice of equivalence scale can sometimes systematically affect absolute and relative levels of poverty; and inequality and therefore rankings of countries (or population subgroups within countries). Because of these sensitivities, one must carefully consider summary statements and policy implications derived from cross-national comparisons of poverty and/or inequality.     

The impact of financial development,economic growth,income inequality on poverty: evidence from India

This paper examines the impact of financial development, economic growth and income inequality on poverty in India from 1970 to 2015 by employing the autoregressive distributed lag (ARDL) bounds testing procedure. The findings reveal a robust long-run relationship between financial development, economic growth, inequality and poverty. Results show that financial development and economic growth help in poverty reduction in India, whereas income inequality and inflation aggravate poverty. Empirical evidence of the Granger-causality test supports the presence of unidirectional causality from financial development and economic growth to poverty. Moreover, bidirectional causality exists between inequality and poverty. The present study provides evidence on which the policymakers may proceed with detailed investigation of how specific financial sector policies and interventions can be deployed as effective instruments for achieving favorable economic growth and income distribution. The study recommends that policies geared toward increasing financial development and economic growth should be adopted to reduce the high level of poverty and inequality currently prevailing in India.     

Poverty, inequality, and growth in urban China, 1986–2000

Although urban China has experienced spectacular income growth over the last two decades, increases in inequality, reduction in social welfare provision, deregulation of grain prices, and increases in income uncertainty in the 1990s have increased urban poverty. Using a large repeated cross section household survey from 1986 to 2000, this study maps the changes in income, inequality, and poverty over the fifteen-year period and investigates the determinants of poverty. We find that the increase in poverty in the 1990s is associated with the increase in the relative food price and the need to purchase items that were previously provided free or at highly subsidized prices by the state, i.e., education, housing and medical care. In addition, the increased saving rate of poor households, which is due to an increase in income uncertainty, contributes significantly to the increase in poverty measured in terms of expenditure. Journal of Comparative Economics 33 (4) (2005) 710–729.     

Short-term trends in China’s income inequality and poverty: evidence from a longitudinal household survey

In the past three decades, income inequality in China has increased rapidly relative to both China’s own past and other countries at similar levels of economic development. Using recent longitudinal data from the China Family Panel Studies (CFPS), this article examines changes in income inequality and poverty prevalence between 2010 and 2012. Surprisingly, we find a modest decline in income inequality as measured by the Gini coefficients in the CFPS data. The urban–rural gap narrowed, with rural families enjoying faster income growth than urban families enjoyed. Income growth was greater for middle-income families than for families with either high or low incomes in 2010. By all measures, poverty was greatly reduced between 2010 and 2012. Two-thirds of families that had been poor in 2010 escaped poverty by 2012.     

POVERTY AND INCOME INEQUALITY IN LATIN AMERICA DURING THE 1980s

On average, poverty and income inequality increased in Latin America during the 1980s. Forty-six percent of the increase in poverty took place in the cities of Brazil alone, though part of this reflects the migration of poor rural inhabitants to urban areas. There is strong evidence that both income inequality and poverty mirrored the economic cycle, rising during recession and falling during recovery. Economies that grew (e.g. Colombia, Costa Rica) performed better with respect to poverty and income inequality than those that stagnated. In particular, countries that failed to stabilize effectively (e.g. Brazil, Peru) experienced substantial increases in poverty. Educational attainment has the greatest correlation with both income inequality and the probability of being poor. From a policy standpoint, there is a clear association between the provision of education, lessening of income inequality, and poverty reduction.     

Genetic distance,economic growth and top income shares: Evidence from OECD countries

The relationship between economic growth and income inequality remains a puzzle in the literature. The main problem has been finding a way to account for the endogeneity of growth. Using century-long data of 14 OECD countries, this study disentangles the growth–inequality relationship. In doing so, our main contribution is employing genetic and geographical distances as instruments for economic growth. The instruments are constructed on the premise that the growth of one country spills over to the others if they are connected through trade and other forms of exchange; however, the genetic and geographical distances between countries represent barriers to such spillovers. Using alternative specifications and measures, we find that growth reduces the inequality measured by top income shares. As capital share increases in the growth process and capital substitutes labour, inequality-reducing strength of growth declines. Another important finding is that the effect of growth on top income shares is more significant among the highest income groups.     

Growth, income distribution and well-being in transition countries

We apply several well-being measures that combine average income with a measure of inequality to international and intertemporal comparisons of well-being in transition countries. Our well-being measures drastically change the impression of levels and changes in well-being compared to a traditional reliance on income measures. Due to low inequality and moderate income levels, socialist countries enjoyed relatively high levels of economic well-being. In the transition process, rising inequality and falling incomes have led to a dramatic absolute decline in well-being and a considerable drop in relative well-being vis-à-vis non-transition countries. We also find a close correlation between income losses and inequality increases. While the transition has been successful in expanding political and civil rights, our indicators suggest that most transition countries are still below the level of economic well-being of the late 1980s.
JEL classification: D6, O15, P27.     

Africa is on time

We present evidence that the recent African growth renaissance has reached Africa’s poor. Using survey data on African income distributions and national accounts GDP, we estimate income distributions, poverty rates, and inequality indices for African countries for the period 1990–2011. We show that: (1) African poverty is falling rapidly; (2) the African countries for which good inequality data exists are set to reach the Millennium Development Goal (MDG) poverty target on time. The entire continent except for the Democratic Republic of Congo (DRC) will reach the MDG in 2014, one year in advance, and adding the DRC will delay the MDG until 2018; (3) the growth spurt that began in 1995, if anything, decreased African income inequality instead of increasing it; (4) African poverty reduction is remarkably general: it cannot be explained by a large country, or even by a single set of countries possessing some beneficial geographical or historical characteristic. All classes of countries, including those with disadvantageous geography and history, experience reductions in poverty. In particular, poverty fell for both landlocked as well as coastal countries; for mineral-rich as well as mineral-poor countries; for countries with favorable or with unfavorable agriculture; for countries regardless of colonial origin; and for countries with below- or above-median slave exports per capita during the African slave trade.     

Factor Components of Inequality: A Cross‐Country Study

This paper uses data from the Luxembourg Income Study to examine some of the forces that have driven changes in household income inequality over the last three decades of the twentieth century. We decompose inequality for six countries (Canada, Germany, Norway, Sweden, the U.K., and the U.S.) into the three sources of market income (earnings, property income, and income from self‐employment) and taxes and transfers. Our findings indicate that although changes in the distribution of earnings are an important force behind recent trends, they are not the only one. Greater earnings dispersion has in some cases been accompanied by a reduction in the share of earnings which dampened its impact on overall household income inequality. In some countries the contribution of self‐employment income to inequality has been on the rise, while in others, increases in inequality in capital income account for a substantial fraction of the observed distributional changes.     

The Pro‐Poorness,Growth and Inequality Nexus: Some Findings From a Simulation Study

An income growth pattern is pro‐poor if it reduces a (chosen) measure of poverty by more than if all incomes were growing equiproportionately. Inequality reduction is not sufficient for pro‐poorness. In this paper, we explore the nexus between pro‐poorness, growth, and inequality in some detail using simulations involving the displaced lognormal, Singh–Maddala, and Dagum distributions. For empirically relevant parameter estimates, distributional change preserving the functional form of each of these three‐parameter distributions is often either pro‐poor and inequality reducing, or pro‐rich and inequality exacerbating, but it is also possible for pro‐rich growth to be inequality reducing. There is some capacity for each of these distributions to show trickle effects (weak pro‐richness) along with inequality‐reducing growth, but virtually no possibility of pro‐poorness for growth which increases overall inequality. Implications are considered.