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.     

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.     

IS POVERTY INCREASING IN THE DEVELOPING WORLD?

We assess the developing world's progress in reducing poverty during the late 1980s using new data on the distribution of household consumption or income per person for 44 countries. Local currencies are adjusted to purchasing power parity. To assess robustness, restricted dominance tests are applied to the poverty comparisons. An overall decrease in poverty incidence is indicated over a wide range of poverty lines and measures. However the change is small, and numbers of poor increased at roughly the rate of population growth. The experience was diverse across regions and countries; poverty fell in South and East Asia, while it rose in Latin America and Sub-Saharan Africa.     

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.     

Growth,inequality, and poverty reduction in developing countries: Recent global evidence

The study presents comparative global evidence on the transformation of economic growth to poverty reduction in developing countries, with emphasis on the role of income inequality. The focus is on the period since the early-mid-1990s when growth in these countries as a group has been relatively strong, surpassing that of the advanced economies. Both regional and country-specific data are analyzed for the $1.25 and $2.50-level poverty headcount ratios using World Bank Povcalnet data. The study finds that on average income growth has been the major driving force behind both the declines and increases in poverty. The study, however, documents substantial regional and country differences that are masked by this ‘average’ dominant-growth story. While in the majority of countries, growth was the major factor behind falling or increasing poverty, inequality, nevertheless, played the crucial role in poverty behavior in a large number of countries. And, even in those countries where growth has been the main driver of poverty-reduction, further progress could have occurred under relatively favorable income distribution. For more efficient policymaking, therefore, idiosyncratic attributes of countries should be emphasized. In general, high initial levels of inequality limit the effectiveness of growth in reducing poverty while growing inequality increases poverty directly for a given level of growth. It would seem judicious, therefore, to accord special attention to reducing inequality in certain countries where income distribution is especially unfavorable. Unfortunately, the present study also points to the limited effects of growth and inequality-reducing policies in low-income countries.     

Do Financial and Institutional Variables Enhance the Impact of Remittances on Economic Growth in Latin America and the Caribbean? A Panel Cointegration Analysis

Using recently developed panel unit root and panel cointegration tests and the Fully-Modified OLS methodology (FMOLS), this paper estimates the impact of remittances on the economic growth of selected upper and lower income Latin American & Caribbean (LAC) countries over the 1990–2007 period. Despite the large flow of remittances to the region, there have been relatively few empirical studies assessing the impact of remittances on economic growth in LAC. Panel unit root tests suggest that several of the macro variables included in the model exhibit unit roots, yet, at the same time, Pedroni’s panel cointegration test determined that there is a cointegrating relationship among the variables in the estimated model. The FMOLS estimates suggest that remittances have a positive and significant effect on economic growth in both groups of countries. The estimates also indicate that both the degree of economic freedom and credit provided by the banking system have a positive and significant effect on economic growth in upper (middle) income LAC countries. The sign of the interaction term between remittances and the credit (and EFI) variables suggest that remittances act as substitutes for these variables. Finally, the effect of remittances on both sets of countries is stronger in the presence of a financial (credit) variable.     

GROWTH, INEQUALITY, AND POVERTY: A CAUTIONARY NOTE

Economic growth had less impact on poverty rates in the 1980s than in the 1960s. Could this be explained by Locke Anderson's observation that the higher median income, the greater the amount of growth needed to achieve a percentage point fall in the poverty rate? No, higher poverty rates are due instead to the rise in income inequality. With higher inequality, however, trickle down could be as effective in the 1990s as it was in the late 1960s. More generally, assessments of anti-poverty policy must recognize that inequality is as vital to changes in the poverty rate as growth in mean income.     

THE WELFARE STATE AND POVERTY IN FINLAND AND SWEDEN FROM THE MID-1960s TO THE MID-1980s

Using poverty lines representing the fixed basket of goods and services, the development over time of poverty in Finland and Sweden are compared. In both countries, poverty decreased rapidly between the mid-1960s and the mid-1970s, after which changes have been less dramatic. During the first part of the 1980s poverty continued to decrease in Finland, but increased in Sweden. Comparisons for age-groups showed large reductions in poverty rates among the aged in both countries. Poverty has shifted from the permanent old age poverty towards a more temporary poverty in young adulthood.
International comparisons show that in the early 1980s both Finland and Sweden had poverty rates below the average of the affluent Western nations. Furthermore, these comparisons suggest that cross-national variations in poverty rates are partly explained by the size of the welfare state. Also, time series analysis shows that income transfers have taken an increasing number of people out of poverty in both countries.     

Poverty growth in Scandinavian countries: A Sen multi-decomposition

We show in this paper that the growth rate of the Sen index is multi-decomposable, that is, decomposable simultaneously by subgroups and income sources. The multi-decomposition of the poverty growth yields respectively: the growth rate of the poverty incidence (poverty rate) decomposed by subgroups, the growth rate of the poverty depth (poverty gap ratios) decomposed by sources and subgroups, and the growth rate of inequality decomposed by sources and subgroups. We demonstrate that the multi-decomposition is not unique. It is mainly dependent on poverty lines defined on the space of income sources. An application to Scandinavian countries shows that poverty lines based on non-correlation between the income sources imply serious risks of underestimation of the contribution levels of the different components of the global poverty growth. The main contribution of our paper is to pay particular attention to the poverty growth and its source components in order to avoid underestimation of poverty growth.     

Poverty Reduction and Economic Structure: Comparative Path Analysis for Mozambique and Vietnam

While economic growth generally reduces income poverty, there are pronounced differences in the strength of this relationship across countries. Typical explanations for this variation include measurement errors in growth–poverty accounting and different compositions of economic growth. We explore the additional influence of economic structure in determining a country's growth–poverty relationship and performance. Using structural path analysis, we compare the experiences of Mozambique and Vietnam—two countries with similar levels and compositions of economic growth but divergent poverty outcomes. We find that the structure of the Vietnamese economy more naturally lends itself to generating broad‐based growth. A given agricultural demand expansion in Mozambique will, ceteris paribus, achieve much less rural income growth than in Vietnam. Inadequate education, trade and transport systems are found to be more severe structural constraints to poverty reduction in Mozambique than in Vietnam. Investing in these areas can significantly enhance the effectiveness of Mozambican growth to reduce poverty.     

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.     

Is Private Saving in Latin America and the Caribbean Different?

Private saving and economic growth are intimately linked, and low saving rates in Latin America and the Caribbean (LAC) have often been held responsible for disappointing growth in the region. Thus, identifying factors that spur saving is critical. This paper surveys previous empirical studies on LAC, highlighting contradictions, omissions and in some cases inconclusiveness of findings. Relying on a large dataset and a nested econometric framework, it analyzes private saving patterns and explores the role of its determinants in LAC, across LAC sub‐regions and compared with other regions. While the results highlight great heterogeneity in private saving rates within LAC and compared with the rest of the world, saving determinants are broadly the same notwithstanding some differences in sensitivity and contributions' sizes, and include its lag, income, demographics and public saving.     

Economic openness and income growth in developing countries: a regional comparative analysis

This article examines and compares the openness–growth relationship between the high-performing Asian economies (HPAEs) and the rest of the developing world (Sub-Saharan Africa-SSA, South East Asia-SEA and Latin America and Caribbean-LAC). We applied the SYS-GMM estimator to a dynamic standard endogenous growth model which relates economic openness to real per capita income growth. A few key findings emerged from this study. First, economic openness led to increase in real per capita GDP growth in HPAEs and SSA, but not in LAC and SEA. Second, openness to trade accelerated income convergence among countries in SSA, SEA, and HPAEs, however, whereas foreign direct investment inflows accelerated income convergence only in SSA, it rather de-accelerated income convergence in HPAEs. Thirdly, the HPAEs recorded higher positive effect of openness on real per capita GDP growth than any of the other developing regions because they created sufficient stock of human capital that enhanced their absorptive capacity of imported advanced technology. They also created a more stable macroeconomic environment which consolidated the income growth gains from openness. The results of this study highlight the importance of the implementation of policies that are complementary to economic openness in promoting economic growth in the developing world.     

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.     

A NON‐PARAMETRIC MEASURE OF POVERTY ELASTICITY

We estimate the growth elasticity of poverty (GEP) using recently developed non‐parametric panel methods and the most up‐to‐date and extensive poverty data from the World Bank, which exceeds 500 observations in size and represents more than 96 percent of the developing world's population. Unlike previous studies which rely on parametric models, we employ a non‐parametric approach which captures the non‐linearity in the relationship between growth, inequality, and poverty. We find that the growth elasticity of poverty is higher for countries with fairly equal income distributions, and declines in nations with greater income disparities. Moreover, when controlling for differences in estimation technique, we find that the reported values of the GEP in the literature (based on the World Bank's now‐defunct 1993‐PPP based poverty data) are systematically larger in magnitude than estimates based on the latest 2005‐PPP based data.     

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。     

MEASURING POVERTY USING BOTH INCOME AND WEALTH: A CROSS‐COUNTRY COMPARISON BETWEEN THE U.S. AND SPAIN

We study the correspondence between a household's income and its vulnerability to income shocks in two developed countries: the U.S. and Spain. Vulnerability is measured by the availability of wealth to smooth consumption in a multidimensional approach to poverty, which allows us to identify three groups of households: the twice‐poor group, which includes income‐poor households who lack an adequate stock of wealth; the group of protected‐poor households, which are all those income‐poor families with a buffer stock of wealth they can rely on; and the vulnerable‐non‐poor group, including households above the income‐poverty line that do not hold any stock of wealth. Interestingly, the risk of belonging to these groups changes over the life‐cycle in both countries while the size of the groups differs significantly between Spain and the U.S., although this result is quite sensitive to whether the housing wealth component is included in the wealth measure or not.     

Decomposing World Income Distribution: Does The World Have A Middle Class?

Using the national income/expenditure distribution data from 111 countries, we decompose total inequality between the individuals in the world, by continents and regions. We use Yitzhaki's Gini decomposition which allows for an exact breakdown of the Gini. We find that Asia is the most heterogeneous continent; between-country inequality is much more important than inequality in incomes within countries. At the other extreme is Latin America where differences between the countries are small, but inequalities within the countries are large. Western Europe/North America is fairly homogeneous both in terms of countries' mean incomes and income differences between individuals. If we divide the world population into three groups: the rich (those with incomes greater than Italy's mean income), the poor (those with incomes less than Western countries' poverty line), and the middle class, we find that there are only 11 percent of people who are "world middle class"; 78 percent are poor, and 11 percent are rich.