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As an alternative poverty analysis approach, the purpose of this paper is to map the patterns of multiple deprivation in all 13 administrative regions of Namibia using the National Household Income and Expenditure Survey data.

Unsupervised statistical learning methods including the principal component analysis, k-means clustering and bivariate analysis were applied.

The results show that the multiple deprivation approach is a useful alternative in characterising poverty dynamics in the country. Specifically, the mapping shows that other dimensions of poverty such as access to utilities and services among other things are equally useful welfare indicators as they scored higher than income and consumption on discriminant ability.

Unpacking the multi-dimensionality aspect of poverty has drawn significant attention from development economists and continues to play a major role in policy formulation for developing countries. The study recommends buttressing of conventional income poverty measures with multiple deprivation approaches for a comprehensive picture on poverty issues.

This paper is an attempt to analyze the nature and extent of social exclusion across regions, ethnolinguistic groups and different professions in Pakistan.

By using household level data of Pakistan Social and Living Standard Measurement Survey, the authors have constructed Social Exclusion Index (SEI) as well as multidimensional deprivation scores across of the households. SEI has been developed by using multiple correspondence analysis (MCA) whereas multidimensional deprivation scores have been calculated by following the methodology proposed by Alkire and Foster 2011. In total nine household level indicators related with living standards, education and health have been used for this purpose. In next step the relationship of different household characteristics such as profession of household head region of residence and ethnolinguistic identity has been explored with SEI and multidimensional deprivation scores.

The empirical results of our analysis show that even after controlling for the income of household, SEI and multidimensional deprivation scores have been found to be significantly different across different professions, different regions and different linguistic groups.

This confirms the prevalence of social exclusion in Pakistani society. Compensatory government policies are suggested as an option to cope with the problem of social exclusion.

The study seeks to examine the extent and the causes of multidimensional poverty as opposed to the traditional unidimensional headcount poverty measures to understand the true face of economic deprivation in Punjab, Pakistan.

Poverty is measured through the Alkire–Foster index at the geographically disaggregated levels of divisions and districts, and the causes of pervasive poverty are analyzed through a logit model using the Multiple Indicators Cluster Survey (MICS) comprising of 95,238 households in 9 geographical divisions and their 36 districts.

It was found that poverty in Punjab is associated with larger household size, inadequate wealth, and low levels of educational attainment, and that both matric as well as post-matric education reduced the chances of poverty of household heads by approximately 19 percent. In addition to rural poverty, the study finds evidence of urban poverty across the geographical districts of Punjab. Contrary to common belief that chances of poverty are higher in females, it was found to be more likely in males. However, the statistical significance of gender as a determinant of poverty was not observed in the majority of divisions.

Practical implications were for focused policy interventions in poverty alleviation.

The analysis of determinants of multidimensional poverty at the geographically disaggregated level of divisions is an original contribution.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-01-2019-0037

In 2010, 12 years after the signing and popular ratification of the Belfast/Good Friday Agreement (BGFA), the decommissioning of Irish Republican Army (IRA) weapons, and a significant decline in political violence, paramilitary public symbolic displays (PSDs) remained as prominent features of the landscape of Northern Ireland. Their contents and locations constituted an important, contradictory, and contested part of the peace process. We argue that paramilitary murals and other symbolic sites, such as memorial gardens and plaques, continue to tap into ethno-national collective identities forged in conflict but also exhibit a range of reframing strategies that we refer to as historicization, articulation, and suppression. We further argue that contextual factors affect the likelihood of these displays appearing within a given geographic area. To assess these hypotheses, we conduct content and geospatial analyses of all identified PSDs in West Belfast in 2010. The results lend support to a context-sensitive approach to predicting the contents and locations of paramilitary PSDs in Northern Ireland.

The authors study the difference between multidimensional well-being inequality and income inequality and propose a method to decompose the difference between the Gini coefficients of income and equivalent income (EI), a multidimensional well-being measure that respects individual preferences towards what constitutes a good life. The authors propose a method to decompose the inequality difference into two parts: the vertical and reranking effects. The vertical effect arises from the correlation between income and non-income dimensions, and between income and preferences. The reranking effect arises from the fact that some persons occupy a different position in the EI distribution compared to the income distribution. The authors also propose a detailed decomposition method based on the Shapley value to decompose each of the two effects by non-income dimensions. The authors apply the decompositions using data for 27 countries, considering five non-income dimensions: unemployment, health, housing, crime and environment. The results show that inequality is much higher for EI that the reranking effect accounts for a large part of the inequality difference, and that health is the non-income dimension contributing most to both effects.

Understanding the key locational and neighbourhood determinants and their accessibility is a topic of great interest to policymakers, planners and property valuers. In Northern Ireland, the high level of market segregation means that it is problematic to understand the nature of the relationship between house prices and the accessibility to services and prominent neighbourhood landmarks and amenities. Therefore, this paper aims to quantify and measure the (dis)amenity effects on house pricing levels within particular geographic housing sub-markets.

Most hedonic models are estimated using regression techniques which produce one coefficient for the entirety of the pricing distribution, culminating in a single marginal implicit price. This paper uses a quantile regression (QR) approach that provides a “more complete” depiction of the marginal impacts for different quantiles of the price distribution using sales data obtained from 3,780 house sales transactions within the Belfast Housing market over 2014.

The findings emerging from this research demonstrate that housing and market characteristics are valued differently across the quantile values and that conditional quantiles are asymmetrical. Pertinently, the findings demonstrate that ordinary least squares (OLS) coefficient estimates have a tendency to over or under specify the marginal mean conditional pricing effects because of their inability to adequately capture and comprehend the complex spatial relationships which exist across the pricing distribution.

Numerous studies have used OLS regression to measure the impact of key housing market externalities on house prices, providing a single estimate. This paper uses a QR approach to examine the impact of local amenities on house prices across the house price distribution.

This paper aims to remove the self-evidence of the concept of severe and multiple disadvantage (SMD) by drawing upon a historical as well as a critical perspective to show its contingency.

This paper will introduce the concept of SMD by examining how it has come to be understood in the way that it has. This paper does so by exploring key texts which have informed the development of the concept as well as its conceptual near neighbours such as “multiple needs”. This paper traces some advancements of the concept within practice and further research with a focus on the Fulfilling Lives programme and the Lankelly Chase Foundation. Finally, the author reflects critically upon the concept and the manner in which the concept has become operationalised.

This analysis demonstrates how a particular definition of SMD has come to dominate over the past few years because of the research and practice of key organisations. On the one hand, this has further marginalised alternative definitions and ways of working, but on the other hand these stakeholders have been able to influence the way in which UK policy has taken up the concept within its governmental priorities.

To date, research has taken the term SMD for granted which limits the ability to critique its definitions and applications. This is an important and timely contribution because concepts are all-too-often taken for granted and at a pivotal moment when SMD has become nationalised through policy, critique is a political, potentially transformative, act.

The purpose of paper is to shine light on the under‐theorised relationship between old age and victmisation. In classical criminological studies, the relationship between “age”, victimisation and crime has been dominated by analysis of younger people's experiences. This paper aims to address this knowledge deficit by exploring older people's experiences by linking it to the social construction of vulnerability.

The paper explores both historical and contemporary narratives relating to the diverse experiences of older people as victims in the UK. In particular, from 1945 to the present, statistical context and theoretical advancement illuminates that older people as a social group have a deep “fear of crime” to their relative victimisation.

A careful survey of the criminological literature highlights a paucity of research relating to older people's views and experiences of crime and victimisation. The conceptual issue of vulnerability in different contexts is important in understanding ageing and victimisation in UK. The paper's findings illustrate that their experiences have remained marginalised in the debates around social policy, and how the criminal justice system responds to these changes remains yet to be seen.

Any research attempt at theorising “age” should take into consideration not just younger people, but also the diverse experiences of older people. Policy makers may care to ponder that benchmarks be written that takes into full consideration of older people's experiences as vulnerability.

For criminal justice scholars and practitioners, there is a need to listen to the narratives of older people that should help shape and frame debate about their lived experiences. There should be an examination of existing formal and informal practices regarding elders, as the first step in developing an explicit and integrated set of policies and programmes to address the special needs of this group.

This is an original paper in highlighting how important old age is in construction of “victims” in modern society. By theorising age, victimisation and crime it is hoped to dispel and challenge some of the myths surrounding later life, crime and the older victim.

Housing quality across the life course is an important health determinant. The purpose of this paper is to profile the current housing conditions of older adults in Ireland, and to investigate the association between housing conditions and heating problems and two types of non-communicable diseases: respiratory health problems and bone and joint conditions.

Data are from the Healthy and Positive Ageing Initiative Age-friendly Cities and Counties Survey, a random-sample, population representative survey of 10,540 adults aged 55 and older collected in 2015–2016. Mixed-effects logistic regression analysis was used to investigate the association between poor housing (leaks, rot and damp) and poor heating (unable to keep the home adequately warm) and the likelihood of having a respiratory health problem or a bone or joint condition. Results are reported as odds ratios with 95% confidence intervals.

Overall, 10.2 per cent had poor housing and 10.4 per cent had poor heating. Poor housing and poor heating were strongly associated with respiratory health problems and there was a strong association between poor housing and bone and joint conditions. These associations were not explained by health behaviours or socio-demographic characteristics.

Despite a number of publicly funded schemes available to assist in upgrading and maintaining housing, a considerable number of adults aged 55 years and older continue to report problems which are associated with an increased likelihood of respiratory health problem and bone and joint conditions and present a considerable threat to healthy ageing in place.