How Long are Exposures to Poor Neighborhoods? The Long-Term Dynamics of Entry and Exit from Poor Neighborhoods

Although discussions of poor neighborhoods often assume that their residents are a distinct population trapped in impoverished environments for long durations, no past research has examined longitudinal patterns of residence in poor neighborhoods beyond single-year transitions. Using data from the Panel Study of Income Dynamics from 1979 to 1990 matched to census tract data, this paper provides the first estimates of duration of stay and rates of re-entry in poor (20%+ poor) and extremely poor (40%+ poor) census tracts. The results indicate that (1) there is great racial inequality in longitudinal patterns of exposure to poorneighborhoods – mostAfrican Americans will live in a poor neighborhood over a 10 year span, contrasted to only 10 percent of whites; (2) exits from high poverty neighborhoods are not uncommon, but re-entries to poor neighborhoods following an exit are also very common, especially among African Americans; and (3) length of spell in a poor neighborhood is positively associated with low income, female headship, and, most of all, black race. Little of the racial difference is accounted for by racial difference in poverty status or family structure. Implications for research and public policy are discussed.     

Determinants of Poverty and Their Variation Across the Poverty Spectrum: Evidence from Hong Kong,a High-Income Society with a High Poverty Level

This study aims to investigate into the determinants of poverty in Hong Kong. Previous research on poverty, which usually adopted a logistic regression model to examine individuals’ probabilities of being poor, could not adequately reveal the heterogeneity in experiences among people across the poverty spectrum, therefore has limited policy effort to address diverse needs of individuals struggling with poverty. In the present study, this concern is addressed by using a quantile regression model to examine the differential effects of the determinants of poverty across the poverty spectrum. Data were drawn from the Hong Kong Panel Survey for Poverty Alleviation (n?=?1668). Logistic regression indicated that being elderly, being female, not having a partner, from a single-parent household, not being employed, living in public rental housing, have lower educational attainment, and have poor self-rated health, increased the probability of being poor. Informational support was a protective factor of poverty, while several negative life events, such as having family member(s) with disabilities/chronic diseases and having financial burden, were risk factors of poverty. Quantile regression analysis was adopted to further examine the extent to which determinants of poverty unfold across poverty spectrum, which was captured by five groups of “extremely poor”, “deeply poor”, “at the poverty line”, “near poverty” and “marginally poor”. Quantile regression indicated that people living across the poverty spectrum were similarly affected by not having a partner, living in single-parent households and not working. However, extremely poor and deeply poor were more adversely affected by old age than those near poverty and marginally poor. It is also discovered that public rental housing buffered the poverty risks more in those who lived in deep poverty than those who were near poverty and marginally poor. University education protected the near poverty and marginally poor to a larger extent than those who were extremely poor and deeply poor. Information support also buffered the poverty risks, and people living across the poverty spectrum were equally benefited from it.

     

Construction,Robustness Assessment and Application of an Index of Perceived Level of Socio-Economic Threat from Immigrants: A Study of 47 European Countries and Regions

The focus of psychological studies of poverty is usually on the psychological outcomes, causal attributions and the personality characteristics of the poor. Different from previous psychological accounts, the present study considered poverty as a group level phenomenon in the frame of Social Identity Theory, addressing the question of how poor people deal with the negative poor identity. In order to explore which of the three identity management strategies suggested by SIT (so-called individual mobility, social creativity and collective effort) would most likely be adopted by the poor to deal with the negative poor identity, a semi-structured interview study (N = 50) and a survey study (N = 170) were conducted of a sample of Turkish adults living below the poverty line, based on data from a 2011 Report of Confederation of Turkish Trade Unions (TURK-IS, 2011). The analysis of the interviews showed that when people see group boundaries as permeable and the social structure as unstable, they tend to move into higher status groups, even if they perceive the unequal social structure to be illegitimate. On the other hand, when the social structure is perceived as stable, they tend to use creative strategies. The analysis of the survey data mostly confirmed the proposed model, which suggests that a poor identity leads poor people to endorse one of the three identity management strategies through the perceptions of permeability between the poor and the wealthy, and through the perceptions of stability and illegitimacy of the status relations between the poor and the wealthy group.     

中国农村贫困线及贫困率的测定：基于拟合收入分布函数法

贫困线是衡量人们在年老、疾病残疾、失业或其他缺少固定收入的情况下,能维持最低限度的生活标准。确定最低生活保障线的关键在于计算出科学合理的贫困线标准。笔者利用实地数据测算了农村贫困线及贫困率。测算的结果说明,现实的扶贫工作中,政策也应该要瞄准和考虑到那些满足生存所需之后而进行自我发展的需要的那一部分低收入农户。     

The working poor

Although 60% of low-income Canadians derive the greatest part of their income from work, there is very little published material on the characteristics of these working poor individuals and families. Drawing on Statistics Canada's Survey of Consumer Finances, 1974 (Economic Families; microdata tape), this study is an initial attempt to fill this information gap. The working poor are defined as those economic families which meet three criteria: (a) no member is aged 65 or over; (b) total family income is below Statistics Canada's revised low-income cut-off; (c) more than 50% of total family income is derived from wages and salaries or from self-employment. The study presents and analyzes a variety of demographic and income data on the working poor; it also compares the working poor both with the poor who do not work and with Canadians who are not poor.     

More Unequal in Income,More Unequal in Wellbeing

This study focuses on the long-term trend in happiness by income level in the United States. General Social Survey data suggest that in the past, rich and poor Americans were not only more equal in terms of income, but also in terms of their subjective wellbeing: the happiness gap between the poor and the rich has been increasing. Today’s poor suffer greater relative unhappiness than the poor of past decades. The gap between the poor and the rich is substantial, approximately 0.4 on a 1–3 happiness scale. The increase in the happiness gap is striking: comparing the 1970s to the 2000s, the gap has widened by about 40 % between the poor and the rich, and by about 50 % between the middle class and the rich.     

Wealth Of Nations,Individual Income andLife Satisfaction in 42 Countries:A Multilevel Approach

In this study, individual and contextualdeterminants of life satisfaction in 42countries were examined. The question wasaddressed whether income at the individuallevel and wealth at the national level affectlife satisfaction of individuals. In addition,the hypothesis was tested whether therelationship between income and lifesatisfaction is stronger in poor countries thanin more prosperous ones. Multilevel modelingallows differentiating between main andinteraction effects of group and individuallevel variables on the dependent variable. Itwas used to explore a possible multilevelstructure in the data, in which individuals areviewed as micro observations and countries asmacro observations. The results showed that, inaddition to and independent of individualincome, the economic prosperity of a nationcontributed to a person's life satisfactionlevel. Also, the hypothesized cross-levelinteraction between wealth and income wastested and found significant: poor peopleliving in poor countries were less satisfiedwith their lives than poor people living inaffluent countries. Moreover, complex variationin life satisfaction was found at thewithin-nation level: poor individuals variedmore in their life satisfaction than richindividuals.     

农村教育与农民的脆弱性——基于河北一个村庄的考察

本文在实地考察的基础上,以河北滦平县某村农户为研究对象,通过典型案例分析讨论了当前我国农村家庭在现行教育体制下的脆弱性及其生计风险。教育导致农户脆弱性的机理在于农户在国家免费教育政策之外所付出的额外成本与大学教育的高成本和高消费以及由我国长期二元经济形成的城乡教育的不平等。     

Defining and measuring poverty in the nonmetropolitan United States using the survey of income and program Participation

Because the poor historically have been more prevalent in nonmetropolitan than metropolitan areas in the United States, issues related to poverty (including its definition and measurement) are important to nonmetropolitan people. This study uses the unique monthly data from the Survey of Income and Program Participation (SIPP) to define poverty in different ways. How poverty is defined affects both the measured extent of nonmetropolitan poverty and the groups who are included among the nonmetropolitan poor. Regardless of how poverty is measured, however, nonmetropolitan areas have disproportionately more poor than metropolitan areas. In addition, the nonmetropolitan poor are more likely to be white, aged, disabled, and members of married-couple households than the metropolitan poor under all definitions considered. None of the definitions examined is intrinsically superior. The choice of a definition to use depends largely on the research problem under consideration.     

贵州农村特困人口移民搬迁及扶贫开发

本文站在我国 2 1世纪扶贫攻坚战略与可持续发展高度 ,对贵州所开展的特殊扶贫方式———移民搬迁扶贫开发在效益、经验和存在问题上进行了总结和研究。认为移民搬迁扶贫开发是解决贵州农村特困人口温饱、走向发展的一条有效途径 ,并结合贵州省情对 2 1世纪初贵州特困人口移迁安置的指导思想、原则、搬迁重点区域、搬迁方式及保障措施等提出了自己的看法     

The inequality of maternal health care in urban sub-Saharan Africa in the 1990s

Numerous studies document the disadvantage in child health of the urban poor in African cities. This study uses Demographic and Health Survey data from 23 countries in sub-Saharan Africa to examine whether the urban poor experience comparable disadvantages in maternal health care. The results show that, although on average the urban poor receive better antenatal and delivery care than rural residents, the care of the urban poor is worse than that of the urban non-poor. This suggests that the urban bias in the allocation of health services in Africa does not benefit the urban poor as much as the non-poor. Multilevel analyses reveal significant variations in maternal health in urban areas across countries of sub-Saharan Africa. The dis-advantage of the urban poor is more pronounced in countries where maternal health care is relatively good. In these countries the urban poor tend to be even worse off than rural residents, suggesting that the urban poor have benefited least from improvements in maternal health care.     

Education,health and family size as determinants of labor market activity for the poor and nonpoor

The effect of head’s and wife’s educational attainment, health and the number of the head’s dependents under 18 on the amount of time spent in the labor force by white and black male heads of both poor and nonpoor families is investigated in this paper. The technique employed is multivariate regression analysis using disaggregated data from the 1967 Survey of Economic Opportunity. While educational attainment has a positive effect on the supply of labor of nonpoor heads, it has an insignificant effect on the black poor and a nonlinear effect on white poor heads. The health of head and wife has a very important effect on the ability of the poor to supply labor services while for the nonpoor the health effect is insignificant. For both the poor and nonpoor, there is a positive relationship between family size and the supply of labor. Evidence is also presented to indicate that the black husband’s and wife’s labor market activity are substitutes while they are complementary within white families.     

The spatial separation of the poor in Canadian cities

We used the 1991 Canadian census to examine the extent of spatial separation of the poor in Canadian cities. Although there were no extensive areas of blight, decay, or housing abandonment, we found high spatial separation of poor visible minorities in the selected cities. The index of dissimilarity indicates high segregation of poor blacks and moderate separation of poor Asians from the nonpoor population. We tested the effects of three major structural factors--racial and ethnic segregation, income segregation, and urban redevelopment--and found that racial and ethnic residential patterns are related strongly to the spatial separation of poor persons. The relationship between income segregation and spatial separation of the poor is not significant, however. We also found that the relationship between urban redevelopment and spatial separation of the poor pertains only to blacks. These findings suggest that blacks are vulnerable in the process of urban redevelopment.     

The dynamics of child poverty in Sweden

This paper studies the dynamics of child poverty in Sweden. We find that one out of every five children is disposable income poor at least once during childhood, while only 2% are chronically poor. Children in Sweden are protected economically from many serious events such as parental sickness and death. Family dissolution and parental unemployment do push some children into poverty. However, these poverty spells are mostly temporary. Single mothers, for example, are overrepresented among the poor but not among the chronically poor. Children with immigrant parents are strongly overrepresented among the chronically poor.     

Material Deprivation and Working Poor in Hong Kong

In-work poverty is a growing problem in many developed economies. In Hong Kong, there were 200,700 working poor households in 2016, and approximately half of the total poor population in Hong Kong was living in those working poor households. A growing body of literature has examined the problem of the working poor, but most studies have used relative income as a measure of poverty. In this paper, we adopt the material deprivation approach for assessing the poverty situation of in-work poverty households in Hong Kong. We have interviewed 3565 workers in Hong Kong during a survey conduct in 2016. We compare the results of the material deprivation approach with those of the income poverty approach and evaluate the adequacy of the official income poverty line in gauging the situation of in-work poverty. Our findings reinforce existing studies indicating that deprivation offers an important complement to the income poverty line in poverty analysis. Our results show that there is a moderate overlap between workers identified as poor by the deprivation approach and by the income poverty line. And these two groups of workers have very different profiles. The results provide important policy implications for alleviating poverty among the working poor in Hong Kong.

     

The Effect of Household Wealth on Educational Attainment: Evidence from 35 Countries

The authors use household survey data from the Demographic and Health Surveys (DHS) from 44 surveys (in 35 countries) to document different patterns in the enrollment and attainment of children from rich and poor households. They overcome the lack of income or expenditure data in the DHS by constructing a proxy for long-run wealth of the household from the asset information in the surveys, using the statistical technique of principal components. There are three major findings. First, the enrollment profiles of the poor differ across countries but fall into distinctive regional patterns: in some regions the poor reach nearly universal enrollment in first grade, but then drop out in large numbers leading to low attainment (typical of South America), while in other regions the poor never enroll in school (typical of South Asia and Western/Central Africa). Second, there are enormous differences across countries in the “wealth gap,” the difference in enrollment and educational attainment of the rich and poor. While in some countries the difference in the median years of school completed of the rich and poor is only a year or two, in other countries the wealth gap in attainment is 9 or 10 years. Third, the attainment profiles can be used as diagnostic tools to suggest issues in the educational system, such as the extent to which low attainment is attributable to physical unavailability of schools.     

Gender differences in positive and negative self-assessments of health status in a national epidemiological study of Israeli aged

The literature in subjective health appraisals frequently notes that elderly women, more so than men, generally experience a lower quality of life in all major indicators (physical health status, functional ability, perceived income adequacy, social contacts, psychological distress, and cognitive ability). The current epidemiological study, of 1,352 reporting Israeli subjects between the ages of 75-94, was undertaken in order to obtain reliable estimates of "poor" and "excellent/good" self assessments of health in a national sample of aged; to identify the most significant correlates of "poor" and "excellent/good" assessments; and to ascertain whether the models of "poor" and "good/excellent" subjective health are different for elderly men and women. While it was found that women indeed rate their health as being poorer than men, of greater theoretical interest was the finding that the pattern of variables predicting to "poor" and "good/excellent" health are different for men and women. The findings point to the fact that the simple health self-evaluation question is not a unitary construct, but rather a complex attitudinal measure which yields different structural and conceptual results when controlling for the subjective health outcome ("poor" or "good/excellent") and when analyzing gender-dichotomized models.     

Multidimensional Poverty in Mountainous Regions: Shan and Chin in Myanmar

Poverty is complex and multidimensional. People living in mountainous regions are vulnerable and more likely to experience multiple deprivation. However, few studies have addressed multidimensional poverty in mountainous regions. Using data from 4290 households of poverty and vulnerability assessment survey and the Alkire–Foster methodology, this paper estimate and decompose multidimensional poverty in the states of Shan and Chin in Myanmar. The multidimensional poverty is measured in five dimensions and a set of twelve indicators. Nearly half of the population in Shan and three-quarters in Chin were multidimensionally poor. The average intensity of poverty was 44% in Chin and 38% in Shan. The multidimensional poverty index was 0.33 in Chin and 0.19 in Shan. The level of multidimensional poverty in Chin was similar to that in of Sub-Saharan Africa. In Chin, 60% of the population was both multidimensionally poor and consumption poor, but in Shan, it was 20%. About 28% of the population in Shan and 15% in Chin were multidimensionally poor but not consumption poor. Deprivation in education accounts for one-third of the multidimensional poverty in Shan; while deprivation in health accounts for one-third of the multidimensional poverty in Chin. A higher proportion of multidimensionally poor had experienced shocks such as the death of a household member, agricultural loss, or death of livestock compared to the multidimensional non-poor. Multidimensional poverty was significantly higher for rural household, households with lower educational attainment, consumption poor and among those who lived in Chin. Poverty reduction programs require a holistic understanding of poverty and its different dimensions as well as the main contributing factors for effective planning and program implementation. Geographical targeting of poverty reduction program and larger investment in food, health, water, energy and education can reduce the extent of multidimensional poverty in Shan and Chin.     

Poverty and Subjective Well-being in Mexico

There are two tendencies in the literatureregarding the relationship between income andsubjective well-being. The first tendencymaintains that there is a strong relationshipbetween these two variables, and that thepoorer the population, the more pronounced thisrelationship. The second tendency downplaysthis relationship, arguing that a largepercentage of happiness cannot be explained byeconomic variables. The objective of this studywas to compare the subjective well-being ofthree socioeconomic groups – extremely poor,moderately poor and not poor – and to discoverthe combination of subjective well-beingfactors that makes it possible to predict thesocioeconomic group to which subjects belong.Subjective well-being was measured by using aninstrument developed by Palomar Lever (2000) andconsisting of eleven related factors thatinquire into the subjects' satisfaction ineleven areas of life. The results indicatestatistically significant differences in nearlyall the subjective well-being factors inrelation to the socioeconomic group to whichsubjects belong, with the poorest subjectsreporting the least satisfaction. In additionsome differences were found in relation to sexand age. Also, low correlations were observedbetween income and subjective well-being in theextremely poor and moderately poor groups, withmore of these correlations in the first group,followed by the last. Finally, it was foundthat membership in the socioeconomic groups canbe predicted by a combination of subjectivewell-being factors such as satisfaction withone's recreational activities, socialsurroundings, personal development and couplerelationship.     

The Effects of the Informal Sector on Income of the Poor in Russia

This paper clarifies the social and economic effects of employment in the informal sector on the poor in Russia in recent years. The article describes the extent to which the figures for informal sector at large and unofficial employment in particular vary in different estimates and the effect they have on the average labor income of the poor. The major impact of the research consists of the development of a universal method for the estimation of the scales of labor income of the poor in the informal sector. Using the latest available data from Russian Federal State Statistics Service, this indicator is calculated for the poor and than compared with average wages in the formal sector and the subsistence minimum (official poverty line). The study concludes that the informal sector is a factor of social stability in a postsocialist transition economy, which, however, cannot alleviate poverty.