Child Poverty Among Hong Kong Ethnic Minorities

This paper analyzes the data from the Population Census of 2011 to identify the characteristics of poor ethnic minority groups in Hong Kong and the factors that are associated with child poverty among these ethnic minorities. The results show that the child poverty level varies between different ethnic groups and that ethnic minorities from developing nations are likely to have a higher poverty level. In particular, Pakistani children have the highest poverty rate among all ethnic groups. The results also show that Pakistani, Nepalese, and Mixed (Chinese and Asian) nationalities have a higher child poverty rate than that of Chinese individuals who constitute the majority of the Hong Kong population. The main reason for this is that, unlike their Chinese counterparts, some of these ethnic minority households have not benefited from their own human capital or their length of exposure in the local society in Hong Kong. And even if they have benefited, the positive impact of these factors on ethnic minority households was much weaker compared to that of Chinese households. These results suggest that ethnic minorities need to be categorized as a separate group in order to assess their specific needs, and assimilation policies, especially support on Chinese language learning, need to be an integral part of the government’s poverty reduction strategy to reduce child poverty among ethnic minorities.     

From Rags to Riches? Immigration and Poverty in Spain

This article for first time explores the relationship between immigration and poverty in Spain. Using recent Spanish household surveys, it is found, first, that both moderate and severe poverty are more acute among immigrants than among nationals and social transfers play no substantial role in reducing monetary deprivation in the case of foreign-born population; in the second place, we perform an econometric analysis that shows that the different poverty risk faced by local and immigrant households is not driven by differences in basic household and demographic characteristics.     

Poverty Among Elderly in India

Using consumption expenditure data of the National Sample Survey 2004?C2005, this paper estimates the size of elderly poor and tests the hypotheses that elderly households are not economically better-off compared to non-elderly households in India. Poverty estimates are derived under three scenarios??by applying the official cut-off point of the poverty line to household consumption expenditure (unadjusted), consumption expenditure adjusted to household size and consumption expenditure adjusted to household composition. Results show that an estimated 18?million elderly in India are living below the poverty line. On adjusting the consumption expenditure to household size and composition, there are no significant differences in the incidence of poverty among elderly and non-elderly households in India. This is in contrast to the notion that elderly households are better off than non-elderly households in India. Based on the findings, we suggest that the age dimension should be integrated into social policies for evidence based planning.     

Child Poverty in Vietnam: Providing Insights Using a Country-Specific and Multidimensional Model

Despite a wide under-prioritization, the issue of child poverty has received increasing attention worldwide over the last decade. The acknowledgement in Vietnam that child-specific poverty measurement is crucial for poverty efforts directed towards children, and the current lack thereof, instigated the development of a Vietnam child poverty approach. This paper proposes a country-specific, multidimensional and outcome-based approach for the measurement of the incidence, depth and severity of child poverty. It does so at the level of the individual child using household survey data. The development of such an approach at the level of the individual child presents an appropriate alternative for or supplement to the widely used monetary poverty approach, allowing for the use of compatible analytical methods. Findings suggest that 37% of all children in Vietnam live in poverty, with the most pressing areas of deprivation being water, sanitation and leisure. We do not find evidence for a gender bias but do observe a large urban–rural divide, regional disparities and large ethnic inequalities. We argue that this tailor-made approach is a valuable new tool for policy makers and analysts in Vietnam as it enables identification and analysis of poor children, their characteristics and most pressing areas of deprivation within the country’s specific social and cultural context.     

Gender and Multidimensional Poverty in South Africa: Applying the Global Multidimensional Poverty Index (MPI)

Recent work has shown that the gender gap in income poverty has widened in post-apartheid South Africa even though overall poverty levels have declined. One of the main criticisms of money-metric studies of gendered poverty differences is that income is only one dimension of poverty and that other measures of welfare may better reflect the relative well-being of women and female-headed households. This article presents a multidimensional approach to measuring the gender poverty gap in post-apartheid South Africa. Using data from the 2008 wave of the South African National Income Dynamic Study, the internationally comparable multidimensional poverty index (the MPI) is used to estimate gender differences in a number of different achievements. The findings suggest that the multidimensional gender poverty gap is similar to the poverty gap measured by the conventional money-metric approach at several national poverty lines. However, the MPI poverty differential between female- and male-headed households is slightly narrower than the income poverty gap between these two household types. In order to explore these findings further, the paper decomposes the components of multidimensional poverty by gender and for both female- and male-headed households. The paper concludes by considering how greater investments in health care delivery and in basic services, particularly in rural areas, may yield progress towards gender equality.     

Dynamics of Asset Poverty in South Korea

Studies of economic insecurity tend to focus on changes in incomes and transitions in and out of income poverty. Yet family economic conditions are shaped by more than just income. Levels of assets and wealth, and changes in these over time also play a role. To identify which groups of the poor have been structurally trapped in poverty over time, using the Korean Welfare Panel Study, we examined the dynamics of asset poverty from 2005 to 2014. We defined three asset poverty lines by operationalizing assets as resources for either future consumption or development. Findings show that asset poverty experience in a previous year significantly increased the probability to incur asset poverty by 5–12% for all analysis samples. In addition, the probability of incurring asset poverty decreased with home ownership, higher disposable income, and greater diversification of the household portfolio. Our findings suggest that the asset poor are likely to fall into structural and persistent poverty over time, and an asset-building approach is needed to improve the asset poverty status of households in South Korea.

     

Effect of Financial Inclusion on Poverty and Vulnerability to Poverty: Evidence Using a Multidimensional Measure of Financial Inclusion

This study examines the effect of financial inclusion on poverty and vulnerability to poverty of Ghanaian households. Using data extracted from the seventh round of the Ghana Living Standards Survey in 2016/17, a multiple correspondence analysis is employed to generate a financial inclusion index, and three-stage feasible least squares is used to estimate households’ vulnerability to poverty. Endogeneity associated with financial inclusion is resolved using distance to the nearest bank as an instrument in an instrumental variables probit technique. Results showed that while 23.4% of Ghanaians are considered poor, about 51% are vulnerable to poverty. We found that an increase in financial inclusion has two effects on household poverty. First, it is associated with a decline in a household’s likelihood of being poor by 27%. Second, it prevents a household’s exposure to future poverty by 28%. Female-headed households have a greater chance of experiencing a larger reduction in poverty and vulnerability to poverty through enhanced financial inclusion than do male-headed households. Furthermore, financial inclusion reduces poverty and vulnerability to poverty more in rural than in urban areas. Governments are encouraged to design or enhance policies that provide an enabling environment for the private sector to innovate and expand financial services to more distant places. Government investment in, and regulation of, the mobile money industry will be a necessary step to enhancing financial inclusion in developing countries.

     

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.     

Comparing the Monetary and Living Standards Approaches to Poverty Using the Australian Experience

This paper compares the monetary and living standards approaches to poverty using Australian data for the period 2006–2017. The aim is to highlight the conceptual and empirical strengths and weaknesses of the two approaches and identify the similarities and differences that emerge when both are applied to examine what happened over the period and to a limited degree, why. The acknowledged limitations of estimating poverty rates by comparing household income with a poverty line have to a degree been addressed by developments in deprivation research that have generated estimates that are more directly related to living standards, more democratic and more credible. But this approach also has limitations, so its growing popularity need not signify the end of poverty line studies. This paper compares the two approaches, with specific attention paid to ensuring that the estimates are internally consistent over time and comparable at a point in time. Both show a consistent pattern of modest improvement in social disadvantage over the period examined, but they reveal different aspects of change. The monetary approach highlights the role of housing costs in driving changes in poverty, while the more nuanced explanation generated by estimates of deprivation provides detailed insights. The results suggest that each has a positive role to play in better understanding the nature of poverty and identifying the factors driving change over time.

     

Household Budgets as a Social Indicator of Poverty and Inequality in South Africa

In the absence of a universally accepted method of calculating poverty, household expenditure can be used to provide an indication of inequality of wealth and serve as an indicator of poverty. Household expenditure comprises expenditure of private households on goods and services, irrespective of their durability. The portion of household budgets allocated to different types of goods and services provides an indication of the material standard of living of a population. The article discusses different definitions of poverty and compares the state of poverty according to these definitions in selected countries. This is followed by an analysis of South Africa’s economic position in the world and a comparison of the household budgets and demographic profile of South African households that fall into different income groups in order to identify the differences between the poorest and the wealthiest households in South Africa. Income inequality in South Africa is further elucidated by means of the Gini coefficient. A comparison is also made between the household budgets of the poorest households with the minimum financial living level requirements in South Africa to maintain their health and have acceptable standards of hygiene and sufficient clothing for their needs.     

论城市少数民族流动人口的社会保障问题

由于户籍制度的限制和现行政策的不完善,城市少数民族流动人口在就业、教育、医疗、住房等领域缺乏必要的社会保障．这对社会的稳定和发展造成了消极影响。文章讨论了城市少数民族流动人口的社会保障问题应该坚持的原则和主要对策,认为从长远来看,要运步构建有利于少数民族流动人口在城市中社会融入的经济、社会和文化条件。     

Food Poverty,Vulnerability, and Food Consumption Inequality Among Smallholder Households in Ghana: A Gender-Based Perspective

We examined gender-based household welfare differences in Ghana among smallholder households. We measured disparities in welfare outcomes (food poverty, vulnerability, and food consumption inequality) across male and female household heads and identified the set of covariates influencing them. The study utilizes a dataset from a farm household survey undertaken in Northern Ghana from October to December 2018. A multistage sampling approach was adopted in selecting 900 farm households. The Oaxaca–Blinder mean and Recentered Inference Function decomposition techniques highlighted the sources of gender differentials in household welfare outcomes. The findings indicate a significant gap in food consumption expenditure per capita and household dietary diversity scores between male- and female- headed households, and these gaps are as high as 28.2% and 18.1%, respectively. However, there are no statistically significant differences in vulnerability to food poverty between male- and female-headed households. The Lorenz curves confirm inequality in gendered households’ food consumption expenditure and dietary diversity scores. This study highlights the existence of systemic female-headed household vulnerability to food poverty in Ghana. This study provides significant evidence of the need for policymakers to address food systems’ structural deficiencies and inequalities with gender in mind.

     

Housing Conditions of Nuclear and Extended Households in the Miami-Fort Lauderdale Area

Arrivals of new immigrants into the south Florida area have put increased pressure on housing markets and fostered renewed efforts to provide more affordable housing. Many view household extension largely as a response to the lack of a sufficient amount of affordable housing. This paper examines the nature, proportion and housing condition of nuclear and extended households in the Miami-Fort Lauderdale area. The study also investigates how the incidence and housing situation of extended households has changed during the period from 1986 to 1990. This study illustrates that extended families in the Miami-Fort Lauderdale area are not uniformly worse off than nuclear families, given ethnicity and income level. While the area's housing problems require attention, some of that attention should be focused on removing institutional barriers to household extension and to providing broader housing choices for minority ethnic groups.     

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.

     

Development and Governance in the Ex-Soviet Union: An Empirical Inquiry

The widespread adoption of the concept of wellbeing in the social sciences literature has allowed researchers to move beyond a narrow economic focus on income and consumption as the primary measure of inequality and poverty. Although statistical measurement and analyses of wellbeing have become increasingly feasible due to the availability of rich datasets, the empirical literature on wellbeing remains deficient in a number of ways. In this paper we argue that it is necessary that empirical studies of wellbeing encompass multiple. Applying Sen’s capability approach as our theoretical model we subsequently develop a modelling framework that applies the polychoric principal component analysis (PCA) method for the calculation of objective wellbeing and wellbeing inequality using household asset, education, health and housing dimensions. Findings from our case study of Vietnam challenge previous single dimensional analyses and reveal a number of layers to our understanding of wellbeing inequality in Vietnam. We argue that our use of polychoric PCA is especially suited to the analysis of wellbeing by explicitly incorporating the analysis of both cardinal and ordinal variables and overcoming deficiencies established in the literature relating to the use of standard PCA.

     

Rethinking Dimensions: The South African Multidimensional Poverty Index

The growth of literature on multidimensional poverty measures generates an uncertainty about which dimensions best capture the extent of poverty. This paper applies multiple correspondence analysis in the context of multidimensional poverty in South Africa to identify statistically valid additional dimensions using National Income Dynamics Study data of 2012. The results confirm the argument that economic status (lack of employment) and financial commitment (over-indebtedness) can be regarded as important dimensions, as their occurrence constrains households from participating in the activities essential in modern society. It is therefore proposed that, in addition to health, education, and living standard dimensions, both economic status and financial commitments should be included in the framework for the South African multidimensional poverty analysis. A central contribution of this work is a proposal of a hybrid multidimensional measure which recommends a combination of both non-monetary and monetary indicators, in particular over-indebtedness.     

Multidimensional Measurement of Poverty Among Women in Sub-Saharan Africa

Since the seminal work of Sen, poverty has been recognized as a multidimensional phenomenon. The recent availability of relevant databases renewed the interest in this approach. This paper estimates multidimensional poverty among women in fourteen Sub-Saharan African countries using the Alkire and Foster multidimensional poverty measures, whose identification method is based on a counting approach. Four dimensions are considered: assets, health, schooling and empowerment. The results show important differences in poverty among the countries of the sample. The multidimensional poverty estimates are compared with some alternative measures such as the Human Development Index, income poverty, asset poverty and the Gender-related Development Index. It is found that including additional dimensions into the analysis leads to country rankings different from those obtained with the mentioned four measures. Decompositions by geographical area and dimension indicate that rural areas are significantly poorer than urban ones and that a lack of schooling is, in general, the highest contributor to poverty. The paper also conducts robustness and sensitivity analyses of the multidimensional estimates with respect to the number of dimensions in which deprivation is required in order to be considered poor, as well as to the poverty lines within each dimension. Several cases of dominance between countries are found in the first robustness test.     

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.     

Dimensions of Housing Deprivation for Older People in Ireland

Housing is an important aspect of living standards and quality of life for older persons, but the housing-related problems they may face encompass rather different circumstances, relating to the condition of the dwelling, how well equipped it is, whether housing costs represent a serious burden, and whether the neighbourhood environment is problematic. This paper brings out the importance of distinguishing these different dimensions of housing problems for older people, illustrated empirically using data for Ireland from an important new European dataset. Controlling for other factors, being older is associated with more housing quality problems but fewer housing cost and neighbourhood problems than for those of working age. The variables predicting deprivation among older people differ across the dimensions and the correlations between the dimensions are low. Over half the older people in the sample experience some form of housing-related deprivation, but a majority of these are reporting only one. Scores on a summary index for older persons are much less strongly associated with factors such as household income and poverty, marital status, and location and type of dwelling than for all households, bringing out the importance of distinguishing and studying the different dimensions and framing appropriate policy responses to each.     

Uneven dynamics and regional disparity of multidimensional poverty in China

Qualifying the official minimum of “Two no worries and three guarantees” (certainty of food and clothing, guarantees of compulsory education, basic medical care, and housing) is essential to evaluate the targeted poverty alleviation program since 2013 in China. Using the poverty monitoring dataset and the multidimensional poverty indicator system, the uneven dynamics and regional disparity of multidimensional poverty and its driving factors in poverty-stricken areas in China during 2014–2018 are explored in this paper. The incidence rate of multidimensional poverty was reduced by 61.72%, and the poverty reduction rate within the six dimensions ranged from 52.29 to 76.36%. Multidimensional poverty and its six dimensions displayed narrowing regional disparity. Impoverished and moderately poor areas shrank, whereas low-poverty areas expanded. All 22 provinces have become low-poverty areas in 2018. The contribution of each dimension to multidimensional poverty varies for different types at different stages. Income and expenditure contribute the most to poverty status, followed by transportation, housing conditions, education, communication, and medical care and health. The contribution of each indicator among different dimensions varied with different trends from 2014 to2018. This paper helps incorporate the official minimums of “Two no worries and three guarantees” into a more operational evaluation system to promote sustainable policies for governments at all levels by 2020 and beyond, as well as provide valuable references for poverty alleviation in other developing countries worldwide.