Poverty,Inequality and Deprivation in South Africa: An Analysis of the 1993 SALDRU Survey

This paper analyses poverty and inequality in South Africa based on data from a comprehensive multi-purpose household survey undertaken in 1993 to provide baseline statistics on poverty and its determinants to the new government. The paper shows that South Africa has among the highest levels of income inequality in the world and compares poorly in most social indicators to countries with similar income levels. Much of the poverty in the country is a direct result of apartheid policies that denied equal access to education, employment, services, and resources to the black population of the country. As a result, poverty has a very strong racial dimension with poverty concentrated among the African population. In addition, poverty is much higher in rural areas, and particularly high in the former homelands. Poverty among female-headed households and among children is also higher than average. Moreover, poverty is closely related to poor education and lack of employment. The poor suffer from lack of access to education, quality health care, basic infrastructure, transport, are heavily indebted, have little access to productive resources, and are heavily dependent on remittances and social transfers, particularly social pensions and disability grants. The paper uses an income-based definition of poverty for most of the analysis. In addition, it develops a broad-based index of deprivation including income, employment, wealth, access to services, health, education, and perceptions of satisfaction as its components. While on average the two indicators correspond fairly closely, the income poverty measure misses a considerable number of people who are severely deprived in many of the non-income measures of well-being. This group of severely deprived not identified by the income poverty measure consists predominantly of Africans living in rural areas, concentrated particularly in the province of KwaZulu/Natal.     

Area Deprivation and Liver Cancer Prevalence in Shenzhen,China: A Spatial Approach Based on Social Indicators

Cancer has become an alarming threat to human health and well-being worldwide. Examining the social determinants of cancer prevalence should effectively inform the practices and strategies on cancer treatment and prevention. However, rather few studies have conducted in this regard for developing countries. This paper attempts to characterize the association between area deprivation and liver cancer prevalence using a case of Shenzhen, China. Data from 2009 to 2011 provided by Shenzhen’s Health Information Center are used to calculate the incidence rate of liver cancer at district level. An area deprivation index (ADI) at district level is established by integrating 13 indicators of 5 domains (income, employment, education, housing and demography). The weight for each indicator is determined by two typical subjective methods (AHP and fuzzy AHP) and two common objective methods (Entropy and Coefficient Variation). Quantitative comparisons indicate that the four methods are highly consistent though they assign different weight to the indicators. Spatial lag regression identifies significantly positive linear relationships between ADIs and liver cancer incidence rate from 2009 and 2010. It suggests that greater possibility of liver cancer prevalence would be expected in districts of higher social deprivation. The results also denote that the obtained relationships are insensitive to weight determination method and temporal dimension. Our study demonstrates that spatial autocorrelation should be incorporated for better understanding the association between area deprivation and liver cancer prevalence at district level. This paper provides some new insights into social indicators research.     

基于分层线性模型的流动人口社会融合影响因素研究

根据2012年全国流动人口动态监测结果和反映31个省市基本公共服务均等化的指标数据,建立分层线性模型从流动人口个体和省级层面考察影响流动人口社会融合的影响因素和作用程度的大小。研究发现,流动人口的社会融合不仅与个人因素有关,而且还受地区基本公共服务差异化的影响。个体层面从户口性质、就业状况、医疗保险、自我融入意愿、本地人接受程度、收入情况与住房条件解释流动人口社会融合差异的63?12％;省级层面从基础教育、医疗卫生、公共就业及基本社会保障解释流动人口社会融合的差异为36?83％。最后从政府、公民社会参与角度出发,提出促进流动人口社会融合的措施和建议。     

民族地区农村公共产品供给与农村劳动力转移研究——以新疆为例

农村公共产品供给是影响农村劳动力就业、收入与转移的重要原因。新疆农村劳动力结构中少数民族居多且聚居。主要从事第一产业,剩余劳动力规模巨大。新疆农村劳动力收入水平普遍偏低,仅能维持基本生存,基本无法保障其发展权实现。新疆城乡居民收入差距不断扩大,2007年基尼系数则达到0．4604,突破了公认的警戒线。由于少数民族农村劳动力的素质低。其转移仍较为困难。本文从农村基础设施建设不足、教育投入不足等角度分析了农村公共产品供给不足对农村劳动力就业、收入与转移的制约。并提出了改善上述状况的若干思考。     

Deprivation index for small areas in Spain

The term deprivation is often used to refer to economic or social shortages in a given geographical area. This concept of deprivation has been identified for years using simple indicators such as income level, education and social class. One of the advantages of using simple indicators is the availability of data, since they come directly from sources of information like censuses and population registers. However, the main disadvantage of these indicators is their limited usefulness when measuring a concept as complex as deprivation with a single variable. One possible solution to this problem is using compound indices, made up of a combination of simple indicators. For years, the concept of material deprivation in Spain has been measured using indices or indicators imported from other countries. However, there are no studies that investigate if all of these variables are really related to material deprivation in Spain. In this context, the objective of this study is to create a synthetic index for material deprivation for the municipalities in Spain, bearing in mind the variables available from the Population and Housing Census. The index was built on a principal components factor analysis. The analysis showed two factors. The first factor showed a high positive correlation to the variables relating to illiteracy rate, unemployment rate and percentage of manual labourers, while the second factor was seen as highly positively correlated to the variables relating to the percentage of homes without access to a vehicle and the dependency index and also correlated, though negatively, to the percentage of foreigners between 16 and 49 who lived abroad in 1991. The variables that make up the first factor can be considered to be an approximation of the concept of deprivation in Spain. This study proposes a deprivation index made up of three simple indicators available from national information sources: percentage of illiteracy, percentage of unemployment and percentage of manual labourers. With this index, the criteria for measuring deprivation in Spanish municipalities can be unified and a comparison of the results of the different studies in our context facilitated.     

Area Social Deprivation and Public Health: Analyzing the Spatial Non-stationary Associations Using Geographically Weighed Regression

The prevalence of non-communicable chronic diseases (NCDs) worldwide poses an alarming threat to public health. Recent literature has embraced the opinion that incorporating the social factors should advance the understanding of NCDs prevalence. In this context, examining the NCDs prevalence in association with area social deprivation should provide critical implications for coping with public health risks. However, few empirical studies have examined this specific issue, especially in the developing countries. Using the principal component analysis, an area social deprivation index (ASDI) is established for the Shenzhen city (China) by integrating ten indicators from four dimensions: education, housing, socially disadvantaged population, and economically disadvantaged population. The geographically weighted regression (GWR) is employed to analyze the associations between ASDI and the incidence rate of three prevalent NCDs at district scale. Spatial non-stationary relationships are identified for the three diseases. More specifically, prevalence of the three diseases is all positively correlated with the ASDI. Strength of the associations presents the geography that it generally decreases from the central city to the suburb. These findings suggest that greater possibility of NCDs prevalence would be expected in districts with higher social deprivation. Besides, the impact of social deprivation on NCDs prevalence is much stronger in the central city. The spatial stationarity can facilitate the formulation of location-specific preventive measurements. This paper is believed to provide an innovative insight for social indicators research.     

Incorporating Neighborhood Choice in a Model of Neighborhood Effects on Income

Studies of neighborhood effects often attempt to identify causal effects of neighborhood characteristics on individual outcomes, such as income, education, employment, and health. However, selection looms large in this line of research, and it has been argued that estimates of neighborhood effects are biased because people nonrandomly select into neighborhoods based on their preferences, income, and the availability of alternative housing. We propose a two-step framework to disentangle selection processes in the relationship between neighborhood deprivation and earnings. We model neighborhood selection using a conditional logit model, from which we derive correction terms. Driven by the recognition that most households prefer certain types of neighborhoods rather than specific areas, we employ a principle components analysis to reduce these terms into eight correction components. We use these to adjust parameter estimates from a model of subsequent neighborhood effects on individual income for the unequal probability that a household chooses to live in a particular type of neighborhood. We apply this technique to administrative data from the Netherlands. After we adjust for the differential sorting of households into certain types of neighborhoods, the effect of neighborhood income on individual income diminishes but remains significant. These results further emphasize that researchers need to be attuned to the role of selection bias when assessing the role of neighborhood effects on individual outcomes. Perhaps more importantly, the persistent effect of neighborhood deprivation on subsequent earnings suggests that neighborhood effects reflect more than the shared characteristics of neighborhood residents: place of residence partially determines economic well-being.     

Multidimensional Poverty in China: Findings Based on the CHNS

This paper estimates multidimensional poverty in China by applying the Alkire-Foster methodology to the China Health and Nutrition Survey 2000–2009 data. Five dimensions are included: income, living standard, education, health and social security. Results suggest that rapid economic growth has resulted not only in a reduction in income poverty but also in a reduction in multidimensional poverty in the last decade, both in terms of its prevalence and intensity. However, many challenges remain. There are wide disparities across provinces and between urban and rural areas, with poverty being 1.5 times higher in rural areas than in urban ones in 2009. Moreover, rising deprivation in education in rural and less developed provinces should also be a policymaking concern.     

Are Area-Level Measures of Employment Associated with Health Behaviours and Outcomes?

Accessible employment suited to residents’ needs is an important equity issue and social determinant of health and wellbeing, and a balanced jobs-housing ratio within a region has the potential to provide health benefits. This paper aims to provide evidence on the associations between employment and health, and the potential pathways, as well as identifying spatial indicators that can be used to measure urban employment, a construct of liveability. We used 2011 census data to create and test two area-level spatial measures of urban employment with geo-coded population health behaviour and outcome data (2011 VicHealth survey) in 5206 employed adults living in urban Victoria, Australia. Those living in areas with higher levels of local employment had reduced odds of a longer commute (OR 0.87). The odds of a longer commute time was also greater for those who lived in an area where more people commuted to work by private vehicle (OR 1.20), and less for those who lived in local areas where more people travelled to work by public transport (OR 0.85) or active travel (OR 0.80). The odds of reporting longer sitting times was less for those who lived in a local area where more people commuted to work by private vehicle (OR 0.65). Those who had a longer commute times, regardless of travel mode, had greater odds of reporting more sitting during a typical weekday (OR 1.67). In turn, those who spent more time sitting had significantly greater odds of reporting poorer self-rated health (OR 1.34). Such work provides evidence to policy-makers to help build the argument for which area-level attributes are needed to support urban employment across a region.     

Income Inequality Indices Interpreted as Measures of Relative Deprivation/Satisfaction

This paper considers different ways of making comparisons between individuals in terms of deprivation and/or satisfaction. This allows the Gini index, the Bonferroni index and the De Vergottini index to be interpreted as social deprivation measures as well as social satisfaction measures. The inequality measures that belong to the ?? family, or linear combinations of them, are obtained when using different weighting schemes to average the deprivation and satisfaction associated with each income level. Particularly, the generalised Gini indices (Yitzhaki, Int Econ Rev 24:617?C628 in 1983), the indices proposed by Aaberge (J Econ Inequal 5(3):305?C322, 2007) or those proposed by Imedio-Olmedo et al. (J Public Econ Theory 13(1):97?C124, 2011) can be used to evaluate social deprivation or social satisfaction in an income distribution.     

Relative Income,Race, and Fertility

If a white husband's income is higher than expected for men of his age, race, education, job characteristics, and region, economic theory predicts higher complete fertility for his wife. In the present study one per cent public use samples from the 1970 Census for California and Hawaii were used to examine the effect of relative income on Japanese, Chinese, and black fertility. Relative income was defined in two ways: (1) with regard to earnings of husbands of the same race, education, employment, and state; (2) with regard to earnings of white husbands of the same education, employment, and state. High relative incomes defined in each way were associated with increased completed fertility of Japanese and Chinese in Hawaii, where Orientals form a majority. Neither definition of high relative income was associated with the completed fertility of Japanese, Chinese, or blacks in California, where non-whites form a minority. The results suggest that the effect of relative income on fertility for a racial group will be positive only where there are few racial barriers to their attainment of high incomes.     

The Measurement of Non-economic Inequality in Well-Being Indices

This paper is a critical review of composite well-being indices that account for inequality. Many well-being indices build upon the idea that while income and wealth are important, they do not constitute a person’s actual quality of life. However, first of all, the analysis finds that while well-being indices aim to go “beyond GDP” and other primarily economic indicators, many of them, unfortunately, do not focus on inequality at all. Secondly, most indices which include inequality in their measurement, only account for economic inequality. Thirdly, the article finds that the most comprehensive wellbeing index in terms of inequality is the Inequality-adjusted Human Development Index which adjusts for economic, health and education inequality. This article finds that well-being indices should make further strides to ensure the capture of non-economic inequality in terms of education and health.     

A New Multidimensional Measure of Development: The Role of Technology and Institutions

This paper constructs four structural indices by using 42 socioeconomic variables for 129 countries and the 10 years period from 2003 to 2012. Each structural index can be considered as a measure of a certain dimension of development. The first two indices are the most useful in explaining gaps in development across countries. The first captures the role of technology and institutional quality while the second provides a measure of the basic level of development. The contrast between them signifies that the notion of development is not only multidimensional, but also changing with the stage of development. These two indices are combined to form a development index (DI). A comparison of DI to income per capita and the Human Development Index highlights the importance of institutions in the transition of countries from merely having high income to full development. A methodological contribution of the paper is to use a Jackknife approach within the factor analysis routine to test for the significance of the extracted factors/indices.     

Measuring and Analysing the Wellbeing of Australia’s Indigenous Population

According to most standard socioeconomic indicators (for example employment, income and education), Indigenous Australians tend to have worse outcomes than their non-Indigenous counterparts. Most objective health indicators including life expectancy also tend to be worse. Traditionally, these two domains and associated objective indicators have been the focus of research, government policy and evaluation. There has been less research, however, on differences between Indigenous and non-Indigenous Australians in subjective measures of wellbeing. In this paper, I attempt to answer three related research questions on Indigenous wellbeing—What is the average level of emotional wellbeing and satisfaction with life for the Indigenous and non-Indigenous population of Australia? How do the differences between the two populations change once other characteristics have been controlled for? What are the factors associated with emotional wellbeing within the Indigenous population? With regards to the first two questions, Indigenous Australians are less likely to report frequent periods of happiness and more likely to report periods of extreme sadness than the non-Indigenous population. Surprisingly, given these results for emotional wellbeing, a major finding from the analysis was that Indigenous Australians were significantly more likely to report above-average satisfaction with their life. The main finding with regards to the third question is that using retrospective measures, those in remote areas report higher levels of happiness than those in non-remote areas. This is different to the results for socioeconomic status and objective measures of health found elsewhere and has important implications for government policy in Australia.     

Using Indicators of Multiple Deprivation to Demonstrate the Spatial Legacy of Apartheid in South Africa

This paper presents a spatial analysis of multiple deprivation in South Africa and demonstrates that the most deprived areas in the country are located in the rural former homeland areas. The analysis is undertaken using the datazone level South African Index of Multiple Deprivation which was constructed from the 2001 Census. Datazones are a new statistical geography designed especially for this Index using techniques developed in the United Kingdom. They are smaller in population size than wards, enabling fine-grained spatial analysis of deprivation across the whole of South Africa. The spatial scale used is the smallest to be used in a developing country to date. Levels of deprivation are compared between former homeland areas as a whole, the rest of South Africa and a case-study township, as well as between each former homeland. Individual dimensions of deprivation and an overall composite measure are presented. Municipality-level analysis shows that this spatial pattern of multiple deprivation continued to persist in 2007, demonstrating the ongoing spatial legacy of apartheid.     

The Dynamics of Multidimensional Poverty in Contemporary Australia

Progressively more researchers argue that successfully measuring social inequalities requires moving from income-based to multidimensional poverty indicators, but evidence on Australia is still largely reliant on the former. Using long-running panel data from the Household, Income and Labour Dynamics in Australia Survey we examine trends in multidimensional poverty in Australia between 2001 and 2013. We find that this has been relatively stable, with some evidence of an upwards trend following from the 2008 Global Financial Crisis. However, a closer examination of the individual components reveals a more dynamic picture. Deprivation concerning health, material resources, social support and education increased over the 13-year observation period, offsetting decreases in deprivation concerning safety perceptions, employment and community participation. Additionally, using counterfactual simulations, we examine the relative roles of different poverty domains in explaining changes in Australian multidimensional poverty. We find that recent year-on-year changes in multidimensional poverty are mainly driven by fluctuations in social support, health and material resources. Altogether, our findings suggest that Australian poverty-reduction policies would enhance their effectiveness and efficiency by focusing on improving disadvantage in the domains of health and material resources.     

Multi-Dimensional Deprivation in the U.S.

This paper presents a comprehensive analysis of multidimensional deprivation in the U.S. since the Great Recession, from 2008 to 2013. We estimate a Multidimensional Deprivation Index by compiling individual level data on several well-being dimensions from the American Community Survey. Our results indicate that the proportion of the population that is multidimensional deprived averages about 15 percent, which exceeds the prevalence of official income poverty. Lack of education, severe housing burden and lack of health insurance were some of the dimensions in which Americans were most deprived in. Though deprivation increased during the recession, it trended towards a decline between 2010 and 2013. Unlike the official and the supplemental poverty measure which did not show any decline, the deprivation index better reflects the economic recovery since the recession. Overall, the prevalence of deprivation was higher in the southern and the western states and among the Asian and the Hispanic population. Importantly, there was not much overlap between individuals who were income poor and those who were multidimensional deprived. In fact, almost 30 % of individuals with incomes slightly above the poverty threshold experienced multiple deprivations. Our analysis underscores the need to look beyond income based poverty statistics in order to fully realize the impact of the recession on individuals’ well-being.     

Socio-demographic Differences in Self-reported Psychological Distress Among 25- to 64-Year-Old Finns

Background Mental health problems are a major public health issue worldwide. The aim of this study was to assess the relative importance of socio-demographic characteristics associated with different domains of psychological distress in Finland. Methods Data source was a nationwide survey “Health Behaviour and Health among the Finnish Adult Population” (AVTK), from years 2002 to 2003 (N = 5425; response rate 66%). Psychological distress was measured by self-reported questions of general mental health (MHI-5), depression, insomnia and stress. Socio-demographic factors included education, employment status, partnership and children living in the household. Main analyses were conducted by multivariate logistic regression. Results Education, employment and partnership were associated with most of the psychological distress outcomes. Respondents with a lower educational level had poor mental health in both genders but less insomnia and stress in men. Those with an intermediate education had the least stress in women. The unemployed and retired were at a higher risk for poor mental health and depression. Moreover, employment status was associated with insomnia and stress in men. Respondents not having a partner showed a higher risk of psychological distress according to all measures. Not having children living in the household was associated with insomnia in women and with less stress in men. Conclusions Socio-demographic factors, such as having a partner and employment status, are associated with several measures of psychological distress indicating the importance of social and economic factors to psychological well-being. The association of education and of having children living at home varies by the domain of psychological distress measure.     

Ranking Income Distributions by Deprivation Orderings

This paper has examined the problem of ranking income distributions using absolute deprivation ordering. It appears that the ranking of distributions by this ordering may be more unambiguous than that generated by the relative deprivation ordering. The class of average deprivation indices consistent with the absolute deprivation criterion is also identified.