Dimensions and dynamics of residential segregation by income in urban Canada, 1991–1996

This paper examines the trends in residential segregation by income (post-transfer, pretax income) in the thirty-nine largest Canadian urban areas between 1991 and 1996. The study is motivated by the relative lack of attention paid to residential segregation by income in the Canadian context and by conceptual arguments linking compromised life chances and increased social tensions for the populations of highly segregated cities. We investigated several dimensions of segregation using five different measures (we focus on three of these here given the correlation structure of the measures) to examine changes in segregation between 1991 and 1996, a period characterised by economic recession, cutbacks in social programs and a widening of inequality in market incomes at the national scale. Overall, income segregation increased in most urban areas across all dimensions of segregation during the time period, with particularly high degrees of segregation observed in prairie cities (Winnipeg, Saskatoon and Regina). Of the three largest metropolitan areas (Vancouver, Toronto and Montréal), Montréal was the most consistently segregated. We also find that increases in spatial separation and spatial concentration by income occurred despite the fact that at the national scale, the tax and transfer system appeared to be adequately redressing a rise in inequality in labour and market incomes (as demonstrated by the lack of change in post-transfer national income inequality measures during a period when inequality in market and labour incomes rose sharply). This implies that the lived experience of changes in income distribution are unlikely fully captured by aspatial, national-scale measures and that intra-urban measures with a spatial dimension are an important indicators of inequality in Canadian society.     

Modélisation spatiale de la pauvretéà Montréal: apport méthodologique de la régression géographiquement pondérée

Spatial Modeling of Poverty in Montréal: Methodological Contribution of the Geographically Weighted Regression
The Island of Montréal is particularly concerned with the issue of poverty. In 2000, 29 percent of its inhabitants lived under the low income cut-offs as defined by Statistics Canada. However, poverty is not a homogeneous phenomenon at the intra-urban scale, and identifying and categorizing spaces of poverty has become a main concern for ongoing researches. According to this way of thinking, this paper proposes an analysis of the factors influencing the geographical distribution of poverty on the Island of Montréal. To be able to identify properly the various profiles of poverty, this analysis uses a specific methodology, the geographically weighted regression (GWR), and compares its results with the ones of a classical regression model. At the global level, the most important factors to explain poverty are in order: unemployment, lone-parent families, one person households, recent immigrants, part time or part year workers, school dropouts. At the local level,     

TIPPING AND RESIDENTIAL SEGREGATION: A UNIFIED SCHELLING MODEL*

ABSTRACT This paper presents a Schelling‐type checkerboard model of residential segregation formulated as a spatial game. It shows that although every agent prefers to live in a mixed‐race neighborhood, complete segregation is observed almost all of the time. A concept of tipping is rigorously defined, which is crucial for understanding the dynamics of segregation. Complete segregation emerges and persists in the checkerboard model precisely because tipping is less likely to occur to such residential patterns. Agent‐based simulations are used to illustrate how an integrated residential area is tipped into complete segregation and why this process is irreversible. This model incorporates insights from Schelling's two classical models of segregation (the checkerboard model and the neighborhood tipping model) and puts them on a rigorous footing. It helps us better understand the persistence of residential segregation in urban America.     

基于不同区划系统的中国区域经济差异分解研究

基于不同区划系统,采用锡尔系数分解方法来定量测度中国区域经济差异。首先,基于省级空间单元,通过一阶段锡尔系数分析1978年以来中国区域差异的格局及其动态演变;然后,分别基于三大地带--省(直辖市、自治区)--地(市、区、自治州)或者县(市辖区、县级市、县)这两类三级结构的地域行政单元,运用二阶段嵌套锡尔系数分解方法,将差异进一步分解至省内差异水平上,由此揭示出不同于省际分析的区域经济差异特征:省内差异是全国总体差异的重要组分,对于总体差异的影响较地带间差异和省间差异显著得多。     

DETERMINANTS OF IMMIGRANTS’ ENTRY TO HOMEOWNERSHIP IN THREE NORDIC CAPITAL CITY REGIONS

The extent of homeownership among immigrants may be seen as an indicator of integration and as a determinant of ethnic residential segregation. Studies have shown differences in the determinants of homeownership between immigrants and natives, indicating that variation in homeownership is not only a function of differences in economic resources. These studies have largely focused on Anglo‐American contexts, using mostly cross‐sectional data. We apply survival analysis methods to analyse the determinants of entry to homeownership in the capital regions of three Nordic countries – Denmark, Finland and Sweden – utilizing longitudinal individual‐level register‐based datasets. We find that differences in entry to homeownership between natives and different immigrant groups cannot be explained by differences in socio‐economic background factors. We also find differences in the effects of these factors. Effects of income are generally weaker among non‐Western immigrants and immigrants are less responsive to changes in household composition. The share of non‐Western immigrants in the neighbourhood is only weakly related to entry to homeownership, while immigrants and natives living in public rental housing tend to be slightly less inclined to move to homeownership. Weaker income effects among immigrants, weak effects of ethnic segregation and the importance of the public rental sector differentiate our results from earlier findings. Weaker income effects may indicate that uncertainty about the future also affects middle‐income immigrants. Differences between the three contexts in housing markets and policies do not seem to matter much, although the results indicate that difficult access to the private rental sector may push immigrants to homeownership.     

UN NOUVEAU CADRE MÉTHO-DOLOGIQUE POUR L'ÉTUDE DE LA SÉGRÉGATION RÉSIDENT1ELLE APPLIQUÉÀ MONTRÉAL (1931-71)

Les études sur la ségrégation résidentielle, basée sur l' ethnie, utilisent généralement un cadre méthodologique comprenant des indices de ségrégation dont l' insensibilityéà certaines transformations importantes de l' espace ethnique peut être démontrée. De plus, la forte redondance de ces indices vient encore réduire la portée de leur utilisation. De nouveaux indices sont donc proposés lesquels, étant donné leur aspect complémentaire et non redondant, seront susceptibles de produire une analyse plus complète du phénomène de ségrégation résidentielle. En guise ď illustration, les indices proposés ont été utilisés dans une analyse de l' évolution de la ségrégation résidentielle ayant affecté certains groupes ethniques, à Montréal, durant la période 1931–1971.
The methodological approach in residential segregation studies is based essentially on the use of indexes such as D (dissimilarity index) and G (Gin; index). However, these are redundant indexes that measure only one aspect of segregation, its intensity. This paper proposes a new set of non-redundant indexes that give better results as shown by their use in analysing the ethnic space of Montreal between 1931 and 1971     

Unsightly urban menaces and the rescaling of residential segregation in the United States

In this article, the author uses a slum clearance project in Lexington, Kentucky, as a lens through which to examine the spatial dynamics of racial residential segregation during the first half of the twentieth century. At the time, urban migration and upward socioeconomic mobility on the part of African Americans destabilized extant residential segregation patterns. Amid this instability, various spatial practices were employed in the interest of maintaining white social and economic supremacy. The author argues that such practices were indicative of a thoroughgoing reinvention of urban socio-spatial order that in turn precipitated the vastly expanded scale of residential segregation still found in U.S. cities today. Evidence of this reinvented ordering of urban space lies in the rendering of some long-standing African American neighborhoods as “out of place” within it and the use of slum clearance to remove the “menace” such neighborhoods posed to it.     

Divided Post‐Soviet Small Cities? Residential Segregation and Urban Form in Leninogorsk and Zyryanovsk,Kazakhstan

This paper maps and analyses ethnic and socio‐economic residential segregation in two small post‐Soviet mining and enrichment cities in Eastern Kazakhstan, Leninogorsk and Zyryanovsk. The study is based on data collected by the author in collaboration with the Eastern Kazakhstan oblast' statistical authority in an extensive questionnaire survey carried out during January 2001. The paper investigates the linkages between the physical spatial structure of small post‐Soviet cities and the socio‐spatial landscape that has unfolded in their context, and attempts to identify the principal factors that underlie the observed segregation patterns.     

What do divided cities have in common? An international comparison of income segregation

This paper provides a comparative assessment of income segregation in cities of 12 countries. We use spatial entropy indexes based on small‐scale gridded income data and consistent definition of city boundaries to ensure international comparability of our segregation measures. Results show considerable variation in the levels of income segregation across cities, even within countries, reflecting the diversity within urban systems. Larger, more affluent, productive, and more unequal cities tend to be more segregated. Urban form, demographic, and economic factors explain additional variation in segregation levels through the influence of high‐income households, who tend to be the most segregated. The positive association between productivity and segregation is mitigated in polycentric cities.     

ECONOMIC FUNDAMENTALS AND URBAN–SUBURBAN DISPARITIES

ABSTRACT This paper develops a spatially explicit model to examine how urban and suburban communities evolve differently with changes in local economic fundamentals such as rising income or falling commuting costs in the metropolitan area. The model highlights the importance of environmental amenities and the economy of scale in the provision of public services as determinants of urban spatial structure. Results suggest that urban sprawl, income segregation, and jurisdictional disparities are driven by the same economic conditions and thus tend to co‐exist. Rising incomes or falling commuting costs for high‐income households in a metropolitan area tend to increase land prices and public services in every community, while rising incomes or falling commuting costs for low‐income households can have the opposite effects.     

Spatial and social mobility

This paper analyzes the relationship between spatial mobility and social mobility. It develops a two‐skill‐type spatial equilibrium model of two regions with location preferences where each region consists of an urban area that is home to workplaces and residences and an exclusively residential suburban area. The paper demonstrates that relative regional social mobility is negatively correlated with segregation and inequality. In the model, segregation, income inequality, and social mobility are driven by differences between urban and residential areas in commuting cost differences between high‐skilled and low‐skilled workers, and also by the magnitude of taste heterogeneity.     

Minority–Majority Relations in the Schelling Model of Residential Dynamics. 住宅动态迁移Schelling模型中的少数‐多数关系

The Schelling model describing segregation between two groups of residential agents, reflects the most abstract, basic view of noneconomic forces motivating residential migrations: be close to people of “your own” kind. The model assumes that residential agents, located in neighborhoods where the fraction of “friends” is less than a predefined threshold value F, try to relocate to neighborhoods where this fraction is F or higher. For groups of equal size, Schelling's residential pattern converges either to complete integration (random pattern) or segregation, depending on F. We investigate Schelling model pattern dynamics as a function of F in addition to two other parameters—the ratio of groups' numbers, and neighborhood size. We demonstrate that the traditional integration–segregation pattern dichotomy should be extended. In the case of groups of different sizes, a wide interval of F‐values exists that entails a third persistent residential pattern, one in which a portion of the majority population segregates while the rest remains integrated with the minority. We also demonstrate that Schelling model dynamics essentially depend on the formalization of urban agents' residential behavior. To obtain realistic results, the agents should be satisficers, and the fraction of the agents relocating irrespective of the neighborhood's state should be nonzero. We discuss the relationship between our results and real‐world residential dynamics.     

The segregation of generations: ancestral groups in Sydney, 2011

Most models of immigrant minority enclave formation in cities represent their situation as relatively transient elements in urban residential mosaics. As minority group members become both economically integrated and socially–culturally assimilated into the host society, so they move away from the enclaves where they initially concentrated. Such shifts are especially likely in the second and later generations of group members, who are more likely to overcome the disadvantages experienced by many of the original settlers with regard to human capital. This paper evaluates that model using data on the residential distributions of three generations of those claiming one of 19 different ancestral groups in Sydney in 2011, at four nested spatial scales, deploying a recently developed inferential method for evaluating the intensity of residential segregation. The findings are not consistent with the model: in general, members of the second and third generations in any ancestral group are as segregated as the first generation (that is, those born outside Australia) at both regional and neighbourhood scales.     

广州市外来人口居住隔离及影响因素研究

利用广州市人口普查街道(部分居委会)数据总结1990-2000年外来人口居住隔离的时空特征:隔离程度呈增加趋势,核心和外围区隔离程度及变化差异大,散点状为主的空间模式,并呈现异质性和非稳定性的社会特征。通过典型社区问卷访谈,对比外来人口与户籍低收入人口,建构影响因素的逻辑回归(Logistic regression)模型,显示户籍的属地差别是产生隔离的根本原因,与户籍属地管理相关的劳动力市场分割和住房政策共同构成了排斥的制度环境,限制了外来人口的住房选择,把其推向低端私人租房市场。在有限的居住选择下,交通和经济等个体择居要素影响了隔离空间的分布和社会特征,以城中村为代表低端私人租房来源的布局特征决定并固化了隔离空间的分布模式。     

WELCOME TO THE NEIGHBORHOOD: HOW CAN REGIONAL SCIENCE CONTRIBUTE TO THE STUDY OF NEIGHBORHOODS?*

ABSTRACT We argue in this paper that neighborhoods are highly relevant for the types of issues at the heart of regional science. First, residential and economic activity takes place in particular locations, and particular neighborhoods. Many attributes of those neighborhood environments matter for this activity, from the physical amenities, to the quality of the public and private services received. Second, those neighborhoods vary in their placement in the larger region and this broader arrangement of neighborhoods is particularly important for location choices, commuting behavior and travel patterns. Third, sorting across these neighborhoods by race and income may well matter for educational and labor market outcomes, important components of a region's overall economic activity. For each of these areas we suggest a series of unanswered questions that would benefit from more attention. Focused on neighborhood characteristics themselves, there are important gaps in our understanding of how neighborhoods change – the causes and the consequences. In terms of the overall pattern of neighborhoods and resulting commuting patterns, this connects directly to current concerns about environmental sustainability and there is much need for research relevant to policy makers. And in terms of segregation and sorting across neighborhoods, work is needed on better spatial measures. In addition, housing market causes and consequences for local economic activity are under researched. We expand on each of these, finishing with some suggestions on how newly available data, with improved spatial identifiers, may enable regional scientists to answer some of these research questions.     

“We will not perish; we’re going to keep flourishing”: Race,Food Access,and Geographies of Self‐Reliance

Drawing from 18 months of ethnographic fieldwork in Washington, DC, this article outlines geographies of self‐reliance; a theoretical framework for understanding black food geographies that are embedded in histories of self‐reliance as a response to structural inequalities. Using a community garden as a case study, I argue that the garden functions as a site for addressing several manifestations of structural violence: racist and classist depictions of low‐income and working class people, joblessness, gentrification, and youth underdevelopment. Drawing on self‐reliance ideologies as well as collective and personal histories, the residents exhibit a form of agency that demonstrates unwavering hope in the sustainability of their shared community. Through this analysis, I show that self‐reliance functions as a mechanism through which residents navigate spatial inequalities.     

Differences in cancer incidence between men and women in the province of Québec, Canada, 1984–1993

This research concerns variation in incidence rates of cancer for males and females aged 35 to 69 in Québec for the period 1984 to 1993. In analysing the data, the Island of Montréal (health region 06) was distinguished from the rest of the province of Québec (excluding Nunavik and the James Bay regions). Relative rate index and the ratio of standardised incidence rates of cancer for males and females showed similar tendencies in all regions studied, with the risk of non–sex‐specific cancer higher in men than in women (excess ranged from 5 or 20 to 240 percent according to the study region). However, this higher risk was not consistent across lifespan and cancer site in the Montréal area. We suggest some general points that could explain the differences in cancer incidence between males and females.     

Growth and Convergence Profiles in the Spanish Provinces (1965–1997)*

Abstract. Economic performance in Spanish provinces has led to a considerable improvement in standard of living of their populations. Intense capital accumulation since the 1950s played a key roll in this process. Provincial inequalities may increase or decrease as a result of this growth pattern. This study analyzes the evolution of the disparities by means of distribution dynamics techniques. It explicitly considers economic size of each province and whether spatial spillovers exist. Results indicate that the convergence process has been especially intense for labor productivity, total factor productivity, and capital intensity, while for per capita income the patterns of convergence are less marked. When we weight our analysis according to economic size of each province, our conclusions do not hold. However, when we take geographic location into account, we find support for our conclusions.     

Growth and Convergence in a Multiregional Model with Space–Time Dynamics. 多区域时空动态模型的增长与收敛

The goal of this article is to test four distinct hypotheses about whether the relative location of an economy affects economic growth and economic well‐being using an extended Solow–Swan neoclassical growth model that incorporates both space and time dynamics. We show that the econometric specification takes the form of an unconstrained spatial Durbin model, and we investigate whether the results depend on some methodological issues, such as the choice of the time span and the inclusion of fixed effects. To estimate the fixed effects spatial Solow–Swan model, we adjust the Arrelano and Bond (1991) generalized method‐of‐moments (GMM) estimator to deal with endogeneity not only arising from the initial income level, as in the basic model, but also from the initial income levels and economic growth rates observed in neighboring economies.