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.     

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.     

THE EFFECT ON POVERTY STATUS IN ISRAEL OF CONSIDERING WEALTH AND VARIABILITY OF INCOME

This paper assesses the effects of including wealth and the variability of income on the incidence of poverty and the degree of income inequality in Israel. A special survey, which includes data on the wealth and income of a national sample of Israeli families in 1963–64 and 1964–65, allows us to go beyond measures based on current income alone.
The first section reviews earlier studies of poverty in Israel. The next section looks at poverty and inequality in terms of current income, current wealth, and a combined measure of income and wealth. The combined measure is the Hansen-Weisbrod measure (HW), which equals income plus the annuity value of wealth, assuming all wealth is just consumed at the time of death. It is interesting that, in spite of the much higher wealth inequality than income inequality, the HW measure was slightly more equally distributed than income. This result occurred because the annuity component made up a low share of the total HW measure and the correlation between income and wealth was well under 1. Although overall inequality and poverty were similar for income and HW measures, the incidence of poverty by subgroup depended on the measure used.
The final section presents a dynamic view of poverty and inequality. Year-to-year changes in poverty were substantial. Because of the use of a relative poverty concept and the rise in real incomes, the real income poverty line rose by 15 percent between 1963 and 1964. Still, of those in income poverty in 1963, 37 percent managed to escape poverty in 1964. The paper shows how the degree to which poverty was stable or transitory varied substantially by age and country of origin.     

Unfair inequality and growth*

Fighting against economic inequality is one fundamental social goal in the agendas of most governments. However, recent studies highlight that people actually prefer unequal societies, as they accept inequality generated by an individual's effort and wish to reduce only unfair inequality (generated by factors beyond an individual's control). This distinction might help to explain the fundamental unsolved question about whether inequality is good or bad for growth: unfair inequality (UI) could be growth-deterring, while fair inequality (FI) might be growth-enhancing. We derive a reduced-form growth equation from a stylized overlapping-generations model with human capital that includes FI, UI, and poverty. Then, using an instrumental variable approach, we show for alternative samples and inequality measures at the worldwide level that the estimated coefficient associated with UI is always negative, while the coefficient of total inequality increases when UI is included in the regression. Moreover, we find that poverty mediates this relationship because the higher the poverty rate, the smaller the impact of either type of inequality on growth.     

Channels of redistribution: Inequality and poverty in the Russian transition

Contrary to popular perception, Russia entered the transition with significant inequality. Using the large Russian Longitudinal Monitoring Survey dataset, we demonstrate that inequality has subsequently risen yet further and by end-1996 was roughly comparable to inequality in Mexico, Colombia or Malaysia. Driving this increase has been not only wealth transfers through privatization but also changes in government expenditure and a sharp growth in earnings dispersion. There has been a large, associated shift in the structure of income. The paper also looks at the incidence and depth of poverty over the period 1992-96. At the start of transition, roughly half the population of households fell below the poverty line. While this has subsequently declined, at end-1996 nearly 40 per cent of households were below the poverty line and a substantial stratum of households were locked in chronic poverty.     

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.     

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.     

Poverty decompositions with counterfactual income and inequality dynamics

Traditional poverty accounting decomposes changes in a country's poverty headcount ratio into changes in income and inequality. We argue that this approach is unsatisfactory from the perspective of policy analysis because it compares a country in two points of time without taking the country's initial situation, and hence its potential for poverty reduction, into account. We thus suggest comparing traditional poverty decompositions with a counterfactual situation. This counterfactual indicates what a country starting from its initial situation could be expected to achieve in terms of income, inequality, and, hence, poverty developments. We construct those counterfactuals by modeling income and inequality trends characterized by convergence and a “Kuznets” relationship between inequality and development. Parameters in those relationships are estimated using PovcalNet survey data from 144 countries and we construct our counterfactual poverty predictions for 71 developing countries. While there is overall a tight relationship between actual developments and counterfactuals, we identify several cases, where both deviate from each other and discuss the policy implications. We also check for commonalities in differently performing countries and find that those who fell particularly short of expectations often underwent political transition and state fragility.     

GENDER, POVERTY AND THE INTRA-HOUSEHOLD DISTRIBUTION OF RESOURCES

Most empirical studies of poverty assume an equal sharing of resources between all household members. There is a growing body of research indicating that this assumption is not realistic. This paper explores how the unequal sharing of resources could potentially affect the measurement of poverty. Simulations based on micro-data from two countries (Italy and the U.S.A.) are carried out under the assumption that women "lose" and men and children "gain" because of unequal sharing in the household. Our findings suggest that if there is significant intra-household inequality of this type, as some writers have suggested, then conventional methods of poverty measurement will likely to lead to a serious under-estimate (over-estimate) of the incidence and intensity of female (male) poverty.     

中国城镇贫困的变化趋势和模式:1988—2002

本文利用中国家庭收入项目(CHIP)调查数据,估计了1988—2002年中国城镇绝对贫困的变化趋势。根据CHIP调查数据所绘制的贫困发生曲线表明,不论把绝对贫困线确定在哪里,在该时期内中国城镇贫困都在显著减少。1988—1995年,收入分配不平等加剧,但此后基本保持稳定。分析收入和贫困决定因素的多元回归模型显示,教育、性别和中共党员等特征扩大了收入差异。来自政府反贫困措施的生活困难救助对减少城镇贫困影响很小。城镇贫困的缓解几乎完全归因于经济增长而非收入再分配。     

Linkages between poverty and income inequality of urban–rural sector: a time series analysis of India’s urban-based aspirations from 1951 to 1994

This study examines the impact of urban and rural development on poverty and inequality in India before economic reform. The methodology comprises two dimensions. Modern time series methods are used to uncover the dynamic patterns of urban–rural poverty and income inequality. A machine-learning algorithm is used to determine the causal structure among the development indicators. Our results show that reductions in rural poverty appear to be a more effective in reducing both urban and rural poverty, although the costs of achieving these reductions have not been considered.     

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.     

贫困、不平等和农村非农产业的发展

本文利用农村家庭户的调查数据，从微观经济学的角度出发，研究了中国农村非农产业对农村地区收入不平等和贫困的影响。我们首先利用计量经济学方法，模拟家庭在不参与非农业活动情况下的收入水平，然后比较参与和不参与非农业活动两种情况下的收入分布。结果表明，非农业生产活动一方面缓解了农村地区的收入不平等状况，另一方面显著降低了农村的贫困化程度。缩小了贫困户间的收入差距，改善了最贫困户的收入水平。     

Health care spending and hidden poverty in India

India has a high level of out-of-pocket (OOP) health care spending, and lacks well developed health insurance markets. As a result, official measures of poverty and inequality that treat medical spending symmetrically with consumption goods can be misleading. We argue that OOP medical costs should be treated as necessary expenses for the treatment of illness, not as part of consumption. Adopting this perspective, we construct poverty and inequality measures for India that account for impoverishment induced by OOP medical costs. For 2011/12 we estimate that 4.1% of the population, or 50 million people, are in a state of “hidden poverty” due to medical expenses (based on official poverty lines). Furthermore, while poverty in India fell substantially from 1999/00 to 2011/12, the fraction of the remaining poverty that is due to medical costs has risen substantially. Economic growth appears less “pro-poor” if one accounts for OOP medical costs, especially since 2004/05, and especially in rural areas. Finally, we look beyond poverty rates to show how OOP health costs affect the entire shape of the consumption distribution.     

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.     

Small business and entrepreneurship in the knowledge economy: A comparison of Australia and Sweden

Dominant explanations within the existing development literature for the differences in poverty levels around the world have tended to ignore the influence of international inequality on poverty, instead focusing solely on domestic factors. In this paper, I conduct a regression analysis of the effect of inequality between countries on world poverty between 1980 and 2007, employing a new structural measure of international inequality which is created using social network analysis to calculate countries' positions in international trade networks. Countries' infant mortality rates are used to measure poverty. The results of the empirical analysis provide cross-country evidence to demonstrate that structural inequalities in the international system have a significant impact on poverty around the world. As such, the analysis demonstrates the need to move beyond focusing exclusively on domestic attributes of developing countries towards considering the broader international political economy in analysing contemporary poverty.     

Negative income taxes,inequality and poverty

We use a neoclassical growth model with heterogeneous agents to analyze the redistributive effects of a negative income tax system, which combines a flat rate tax with a fully refundable credit (“demogrant”). We show that changing the demogrant‐to‐output ratio causes significant changes in the distribution of income. Specifically, we find that increasing the demogrant‐to‐output ratio sharply reduces the level of inequality as well as both relative and absolute poverty (all measured in terms of post‐tax total income). However, these reductions in inequality and poverty come at the expense of a significant reduction in output.     

Poverty among ethnic minorities: the transition process,inequality and economic growth

This article investigates the process of reducing poverty in ethnic minority households. Using two recent Vietnam household surveys, we find that ethnic minority households are more likely to be persistently poor and less likely to be persistently non-poor than ethnic majority households. The within-group component generated by the variation in income within each ethnicity group explains more than 90% of the change in total inequality. Income redistribution plays an important role in decreasing the poverty gap and decreasing poverty severity. Different ethnic groups have different poverty patterns, which should be noted when designing policies to alleviate poverty and inequality.     

Impact of trade liberalisation on labour market and poverty in Sri Lanka. An integrated macro-micro modelling approach

This paper revisits the long standing controversy of trade and poverty linkage using a macro-micro modelling approach based on general equilibrium and microsimulation analytical frameworks. Sri Lanka, the first country in South Asia which undertook trade reforms more than three decades ago, is taken as a case in point in this study. The paper analyses the effects of trade liberalisation on income distribution and poverty in the urban, rural and estate sectors in Sri Lanka using the first ever microsimulation model built for the country in combination with a multi-household computable general equilibrium (CGE) model. The results reveal that without any fiscal policy adjustments a 100% tariff cut would lead to an increase in economic growth and a reduction in poverty incidence both in the short run as well as in the long run. However, when the tariff cut combined with the fiscal policy adjustments to maintain the budget neutrality, poverty outcomes showed mixed results. In contrast, results show that trade liberalisation increases the income inequality in Sri Lanka.     

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.