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.     

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.     

A Bayesian Measure of Poverty in the Developing World

We propose a new methodology to revise the international poverty line (IPL) after Ravallion et al . (2009) using the same database, but augmented with new variables to take into account social inclusion in the definition of poverty along the lines of Atkinson and Bourguignon (2001). We provide an estimation of the world income distribution and of the corresponding number of poor people in the developing world. Our revised IPL is based on an augmented two‐regime model estimated using a Bayesian approach, which allows us to take into account uncertainty when defining the reference group of countries where the IPL applies. The influence of weighting by population is discussed, as well as the IPL revision proposed in Deaton (2010). We also discuss the impact of using the new 2011 PPP and the recent IPL revision made by the World Bank.     

IS ECONOMIC GROWTH GOOD FOR THE POOR? TRACKING LOW INCOMES USING GENERAL MEANS

We propose the use of an alternative methodology to track low incomes based on Atkinson's “equally distributed equivalent income” functions or “general means” and present a new characterization to justify their application. To evaluate the effects of growth on lower incomes, growth rates are compared for two income standards: the ordinary mean and a low‐income‐sensitive general mean. The question is: How closely related are these two variables? After estimating the growth elasticity, we find that it is not significantly different from zero. Thus, it cannot be concluded that poorer incomes grow proportionately to increases in the average income.     

Poverty Elasticity: A Note on a New Empirical Approach

This note proposes a non‐parametric estimation method controlled for endogeneity to calculate poverty elasticities for a panel of countries. Results show that usual linear estimates without control for endogeneity overestimate the growth elasticity of poverty.     

A New Approach to Unidimensional Poverty Analysis: Application to the Tunisian Case

Fuzzy conceptualization of privation has been a step closer to more realistic handling of poverty. However, fuzzy approaches to poverty are still grounded on parametric axioms. Moreover, construction of poverty lines within these approaches still relies on ad‐hoc methods. In this paper, we advance instead a fuzzy procedure based on the non‐parametric bootstrap method, allowing us to depict fuzzy unidimensional privation states with boundaries drawn spontaneously from data. Fuzzy non‐parametric measures of privation within each state as well as a collective fuzzy non‐parametric index of poverty are derived, along with their corresponding confidence intervals. The new approach is applied to the analysis of poverty in Tunisia in 2005.     

Neighbors' Income,Public Goods,and Well‐Being

How does neighbors' income affect individual well‐being? Our analysis is based on rich U.S. local data from the Behavioral Risk Factor Surveillance System, which contains information on where respondents live and their self‐reported well‐being. We find that the effect of neighbors' income on individuals' self‐reported well‐being varies with the size of the neighborhood included. In smaller areas such as ZIP codes, we find a positive relationship between median income and individuals' life satisfaction, whereas it is the opposite at the county, MSA, and state levels. We provide evidence that local public goods and local area characteristics such as unemployment, criminality, and poverty rates drive the association between satisfaction and neighbors' income at the ZIP code level. The neighbors' income effects are mainly concentrated among poorer individuals and are as large as one quarter of the effect of own income on self‐reported well‐being.     

ON THE “PRO‐POORNESS” OF GROWTH IN A MULTIDIMENSIONAL CONTEXT

This paper represents a first attempt to bring together the issues of multidimensional poverty and growth “pro‐poorness” assessments. More specifically, we suggest the use of sequential dominance procedures to test the “pro‐poorness” of observed growth spells when poverty is measured on the basis of income and another discrete well‐being attribute. Sequential procedures are also used to obtain graphical tools that are consistent with the spirit of Ravallion and Chen's growth incidence curve and Son's poverty growth curve. Contrary to traditional unidimensional tests, our method makes it possible to take into account the importance of deprivation correlations at the individual level and thus may reverse results observed with the traditional tools used to check the “pro‐poorness” of growth. An illustration of our approach is given using Turkish data for the period 2003–05.     

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。     

Consumption,Income, and Wealth: Evidence from Age,Cohort, and Period Elasticities

This paper examines the relationship between non‐durable consumption, income, and wealth (housing and financial) allowing explicitly for generational heterogeneity. A framework is proposed to disentangle cohort, age, and period effects and the empirical analysis is based on the U.S. Consumer Expenditure Survey data. We find that there are significant generational differences and the results highlight the range of elasticities implicit in results presented, thus far, by age groups. Moreover, we find supporting evidence of humped shaped age profiles for the elasticity of consumption with respect to income and the importance of financial wealth for those aged 60+. The framework also allows us to generate cohort profiles which draw attention to the negative role of housing wealth for generation X, and period profiles which reinforce the role of financial wealth for the baby‐boom generation.     

Need,Merit and Politics in Multilateral Aid Allocation: A District‐level Analysis of World Bank Projects in India

We assess the targeting of foreign aid within recipient countries by employing Poisson estimations on the determinants of the World Bank's allocation of project aid at the district level in India. The evidence of needs‐based location choices is very weak as long as the poverty orientation of overall commitments is taken as the yardstick. It is only for some sectors that we find stronger indications of needs‐based allocation when combining sector‐specific commitments with corresponding measures of need. The evidence for a merit‐based allocation of World Bank aid is even weaker. We typically do not find evidence that aid allocation is affected by political patronage at the state or district level. However, the World Bank prefers districts where foreign direct investors may benefit from projects related to infrastructure.     

收入增长和收入分配对城市减贫的影响

本文基于对贫困的分解,运用贫困弹性的动态特征,选取《中国统计年鉴》相关年份城市住户分组数据,深入分析收入增长和收入分配因素对中国1991-2009年间城市绝对贫困和相对贫困的影响。结果表明:(1)高速的经济增长对我国城市绝对贫困率下降起决定性作用,但收入分配恶化对城市相对贫困率上升有显著影响。(2)收入水平越高,则收入因素对城市减贫的促进作用越强,且分配因素所引起的贫困变动越大;收入分配越不平等,则收入因素对城市减贫的促进作用越弱,且分配因素所引起的贫困变动越小。因此,我国今后的城市减贫,应在继续保持经济较快增长的同时,以改善收入分配不平等为重点。     

Soaring dragons,roaring tigers,growling bears

We perform a comparative analysis of regional growth and convergence in China, Russia and India over the period 1993–2003 by means of non‐parametric methods and kernel density estimates. Our results indicate that wealthy regions were largely responsible for the rapid growth in all three countries. For China and India, capital dissipation was identified as the major determinant of regional growth. In Russia, capital deepening impeded positive changes in labour productivity, leaving technological change as the only source of regional growth. Furthermore, we find that the increasing regional income inequality in all three countries was driven by technological change which more than offset the convergence resulting from capital deepening in China and India.     

The impact of work and non‐work migration on household welfare,poverty and inequality

This article estimates the impact of work migration and non‐work migration on per capita income, per capita expenditures, poverty and inequality in Vietnam using data from the two most recent Vietnam Household and Living Standard Surveys. We find that both work migration and non‐work migration have a positive impact on per capita expenditures of migrant‐sending households. Non‐work migration significantly decreases the incidence, depth and severity of national poverty. The effect of work migration on poverty is much smaller. Still, while work migration does not lift people out of poverty, it makes their poverty less severe. In addition, both work migration and non‐work migration decrease inequality, albeit only very slightly.     

Viewpoint: Measuring the well‐being of the poor with income or consumption: a Canadian perspective

Abstract There is a long tradition of using consumption measures derived from Statistics Canada's household expenditures surveys to study material well‐being, inequality, and poverty. We offer an introduction to this research. Income and consumption measures give different pictures of the patterns of material well‐being in Canada, but the differences are not as large as in the US. We also provide a comparison to Meyer and Sullivan's results on data quality. Canadian expenditure surveys are of high quality. Unique aspects of these surveys (variation in quality control measures over time and the possibility of comparing to income tax data) provide important insights into the quality of survey data on income and consumption.     

Individual needs and social pressure: Evidence on the Easterlin hypothesis using repeated cross-section surveys of Canadian households

This paper provides additional evidence, using time-series and cross-sectional Canadian survey data, for the Easterlin hypothesis of an important income elasticity of individual needs. Our analysis is based on the regression of a minimum income to satisfy needs equation derived from a simple utility maximization framework. Moreover, our specification allows computing the Arrow-Pratt relative risk-aversion index and the Intertemporal Rate of Substitution. Our results are robust to different estimation methods dealing with the endogenous nature of income. We also compute poverty rates using our estimated equation parameters and standard OECD measures of poverty and find that some subjective measures are relatively close to the OECD measures.     

Per capita income and the extensive margin of bilateral trade

This paper quantitatively explores the role of demand in explaining the positive correlation between an importer's per capita income and the extensive margin of bilateral trade. The theoretical mechanism is based on agents that increase the set of goods they consume with income. This affects the structure of a country's import demand and therewith the extensive margin of trade. We formalize this intuition by incorporating preferences that allow for binding non‐negativity constraints into an otherwise standard Ricardian multi‐country model. We quantify the model and find that the behaviour of the model's extensive margin of trade is consistent with the data.     

Oil booms and inequality in Iran

We study the response of income inequality to positive per capita oil and gas revenue shocks in Iran. Using historical data from 1973 to 2016 and vector autoregression (VAR) as well as vector error correction (VECM) model‐based impulse‐response functions, we find a positive and statistically significant response of income inequality to oil booms. We also explore possible channels through which oil booms may increase inequality, including private sector credit growth, construction investment, international trade (imports) and real economic output. We find that following an oil boom, higher imports, private sector credit growth, and real economic output can explain the increased income gap to a certain degree in Iran's oil‐based economy. Our analysis can help policymakers evaluate and accommodate the possible positive or negative effects of inequality in Iran resulting from the 2016 lifting of the embargo against the country.     

Calculating Poverty Measures from the Generalised Beta Income Distribution

Data for measuring poverty are frequently available in a summary form that describes the proportion of income or expenditure for each of a number of population proportions. While various discrete poverty measures can be applied directly to data in this limited form, they typically require an arbitrary approach to within‐group interpolation. This problem can be overcome by fitting either a parametric income distribution or a Lorenz curve to the grouped data and computing the required quantities from estimated parameters. The Lorenz curve approach is widely used by the World Bank, but can encounter problems. As an alternative, in this article we show how to calculate several poverty measures from parameters of the generalized beta income distribution, and its popular special cases. An analysis of poverty changes in countries from South and Southeast Asia is used to illustrate the methodology.     

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.