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The purpose of this study is to analyse the trends regarding housing segregation over the past 10–20 years and determine whether housing segregation has a spillover effect on neighbouring housing areas. Namely, the authors set out to determine whether proximity to a specific type of segregated housing market has a negative impact on nearby housing markets while proximity to another type of segregated market has a positive impact.

For the purposes of this paper, the authors must combine information on segregation within a city with information on property values in the city. The authors have, therefore, used data on the income of the population and data on housing values taken from housing transactions. The case study used is the city of Stockholm, the capital of Sweden. The empirical analysis will be the estimation of the traditional hedonic pricing model. It will be estimated for the condominium market.

The results indicate that segregation, when measured as income sorting, has increased over time in some of the housing markets. Its effects on housing values in neighbouring housing areas are significant and statistically significant.

A better understanding of the different potential spillover effects on housing prices in relation to the spatial distribution of various income groups would be beneficial in determining appropriate property assessment levels. In other words, awareness of this spillover effect could improve existing property assessment methods and provide local governments with extra information to make an informed decision on policies and services needed in different neighbourhoods.

On housing prices emanating from proximity to segregated areas with high income differs from segregated areas with low income, policies that address socio-economic costs and benefits, as well as property assessment levels, should reflect this pronounced difference. On the property level, positive spillover on housing prices near high-income segregated areas will cause an increase in the number of higher income groups and exacerbate segregation based on income. Contrarily, negative spillover on housing prices near low-income areas might discourage high-income households from moving to a location near low-income segregated areas. Local government should be aware of these spillover effects on housing prices to ensure that policies intended to reduce socioeconomic segregation, such as residential and income segregation, produce desirable results.

Furthermore, a good estimation of these spillover effects on housing prices would allow local governments to carry out a cost–benefit analysis for policies intended to combat segregation and invest in deprived communities.

The main contribution of this paper is to go beyond the traditional studies of segregation that mainly emphasise residential segregation based on income levels, i.e. low-income or high-income households. The authors have analysed the spillover effect of proximity to hot spots (high income) and cold spots (low income) on the housing values of nearby condominiums or single-family homes within segregated areas in Stockholm Municipality in 2013.

Although the measurement of segregation by gender or ethnic group in the labor force has long been of interest to both sociologists and economists, the sociology and economics literatures on this topic have evolved in different ways and remained largely separate. This has also been the case to some extent with research on the measurement of residential segregation. Although much of the segregation measurement literature is in sociology and geography, economists have contributed to this field as well, particularly in the development of measures of residential income segregation. Again, however, the economics literature has remained largely separate from that in geography and sociology.

Using bibliometrics, this study aims to explore the intellectual structure of social segregation research, key contributors, thematic areas and hotspot topics.

A bibliometric analysis was performed for more than 15,000 research papers listed in one of the famous, rich and widely used scientific databases: Web of Science (WoS). This review approach was used to identify social research hotspots on segregation, intellectual structure, borders and development trends. VOSviewer and Gephi software were employed for mapping and analysis.

The study indicates a marked increase in segregation research, particularly from a spatial/urban perspective. The study reveals the interrelationship between segregation and many other social concepts, such as social equality, cohesion, integration and inclusion. In conclusion, addressing the ramifications resulting from the multiple forms of segregation will help in implementing social policies and evaluating their impact on achieving inclusive social development in general and the 2030 agenda of Sustainable Development Goals (SDGs) in specific.

This study remains limited to the precision and thoroughness of the bibliographic data gained from WoS.

This study is valuable for readers to gain rich insights into the state of research on social segregation. It also provides ideas for future research that prospective authors and interested research and academic institutions can investigate.

Purpose – Evidence suggests that during the 1990s, many US metropolitan areas saw fundamental changes in the spatial distribution of household income. Following two decades of increasing economic segregation, many metropolitan neighborhoods saw declines in economic segregation, particularly those neighborhoods located within central cities and rural areas. This paper adapts the Spatial Ordering Index proposed by Dawkins (2007b) to explore these trends.

Methodology/Approach – Using US Census data, I calculate economic segregation indices for a sample of 205 US metropolitan areas in 1990 and 2000 and decompose changes in the indices into portions attributable to changes in the spatial distribution of households and portions capturing changes in the spatial distribution of aggregate income. I also examine regional variations in the decompositions.

Findings – The results suggest that changes in the spatial distribution of households and of income each influenced metropolitan economic segregation in different ways during the 1990s. Furthermore, the spatial dynamics of income segregation exhibited significant regional heterogeneity.

Originality/Value of paper – This paper presents a new approach to measuring the dynamics of economic segregation.

Purpose – The Gini coefficient is a widely used measure of income inequality. It has also been used as a segregation measure, but only in the case of binary variables, for example race or gender. We develop a general version of the Gini Segregation Index (Gs) that can accommodate either continuous or binary variables, and discuss its relationship to existing measures.

Methodology – The Gini Index of Segregation is developed graphically and derived mathematically, illustrating the relationship between Gini's use in segregation and inequality applications.

Findings – Using the Public Use Microdata Sample for 25 U.S. metropolitan areas from the 2000 Census, we illustrate the calculation of the index and show that it is highly correlated with an existing measure of economic segregation.

Originality – This paper develops and illustrates a measure of segregation for continuous variables, a task for which there are few alternative measures.

Purpose – To develop measures of segregation that are appropriate when either the groups or the organizational units are defined by ordered categories. These methods allow the measurement of segregation among groups defined by ordered educational attainment categories or among ordered occupational categories, for example.

Approach – I define a set of desirable properties of such measures, develop a general approach to constructing such measures, derive three such measures, and show that these measures satisfy the required properties.

Originality – Traditional methods of measuring segregation focus on the measurement of segregation among groups defined by nominal categorical variables (e.g., race and gender) among organizational units also defined by nominal categorical units (e.g., schools and neighborhoods). Such methods are not appropriate to the measurement of occupational segregation, for example. The methods developed here are widely applicable and appropriate for such cases.

This study aims to explore the pattern of urban residents’ socio-spatial distribution in a small-sized city where the local housing market capacity and variety is limited.

Spatial variation was reflected by two different analysis. First, factor analysis was applied to determine the major dimensions of the social, economic and housing environment in the investigation area. Second, Kriging maps, which depict the socio-spatial distribution pattern of the households according to major dimensions, were produced by interpolating factor scores on a continuous surface. Those were supported by complementary exploratory analysis to deepen the discussion.

Homogenous distribution of similar groups to housing areas and low inner differentiation particularly within lower income neighborhoods are the noticeable results of the analysis set. Ethnicity and income differentiation are the principal determinants of socio-spatial distribution pattern in our case. The constraints of the local housing market are seemed to facilitate spatial separation. Disadvantaged population groups are limited to small niches within the urban fabric; they are relegated to poor quality neighborhoods or to unpopular inner-city housing estates.

This research has been performed for the small size city in Turkey and may not hold for other areas, even though the methodology can be replicated and the mechanisms at play are quite similar elsewhere.

The internal differentiation of urban residents’ is worth investigation to develop consistent housing and planning policies to overcome prospective social exclusion problems. This study has a potential of remarking the importance of policy-based economic and housing development in smaller cities in Turkey.

Analyses displayed a sectoral structure of the distribution of urban residents but lower inner differentiation within neighborhoods. Limitations of the housing stock facilitate substantial level of isolation to the extent of ethnicity. Two different ethnic groups are confined to small niches, and they are ethnically and economically tied down to their neighborhoods. The physical properties and the quality of both dwellings and the housing environment are the poorest in these areas, and these are unpopular housing areas by the majority of the population. These findings are supposed to give direction of setting consistent housing policies in the case area.

This research is one of the initial research on socio-spatial distribution of urban residents to housing areas in Turkey. It is also one of the rare examples of socio-spatial differentiation study in small-sized city in the literature. The authors have shown that socio-spatial differentiation would be severe even in small size housing markets as opposed to expectation.

This chapter examines the history and evolution of land use regulation in the United States. The economic effect and influence on neighborhood composition is considered. The work of political theorists Antonio Gramsci and Michel Foucault is utilized to analyze the practice of zoning in the United States. An overview of the Standard Zoning Enabling Act, which sets the foundation for zoning within the United States, is presented. Michel Foucault’s notion of “disciplinary power” and Gramsci’s theory of “environmental hegemony” are highlighted to elucidate how land use regulations have operated to enhance the social and economic status of some populations, while limiting the opportunities of others. The potential for changing land use polices is also discussed.

Blacks are more likely than white, in the United States, to experience a stillbirth. In this study, I use a structural perspective of race to create a heuristic model that combines medical and social epidemiological explanations to understand the racial disparity in stillbirths. Using data from the National Maternal and Infant Health Survey 1988 (NMIHS), I examine whether racial disparities in stillbirths can be explained by medical and social epidemiological variables. My findings show that medical and social epidemiological explanations do little to reduce the racial disparity. However, many medical model variables were important predictors of stillbirths including multiple gestations, being overweight, obesity, vaginal bleeding, advanced maternal age, and parity.