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Earnings inequality in Germany has increased dramatically. Measuring inequality locally at the level of cities annually since 1985, we find that behind this development is the rapidly worsening inequality in the largest cities, driven by increasing earnings polarisation. In the cross-section, local earnings inequality rises substantially in city size, and this city-size inequality penalty has increased steadily since 1985, reaching an elasticity of .2 in 2010. Inequality decompositions reveal that overall earnings inequality is almost fully explained by the within-locations component, which in turn is driven by the largest cities. The worsening inequality in the largest cities is amplified by their greater population weight. Examining the local earnings distributions directly reveals that this is due to increasing earnings polarisation that is strongest in the largest places. Both upper and lower distributional tails become heavier over time, and are the heaviest in the largest cities. We establish these results using a large and spatially representative administrative data set, and address the top-coding problem in these data using a parametric distribution approach that outperforms standard imputations.

Shanghai has experienced a rapid process of urbanization and urban expansion, which increases travel costs and limits job accessibility for the economically disadvantaged population. This paper investigates the jobs-housing imbalance problem in Shanghai at the subdistrict-level (census-level) and reaches the following conclusions. First, the jobshousing imbalance shows a ring pattern and is evident mainly in the suburban areas and periphery of the Shanghai metropolitan area because job opportunities are highly concentrated while residential areas are sprawling. Second, structural factors such as high housing prices and sprawling development significantly contribute to the jobs-housing imbalance. Third, regional planning policies such as development zones contribute to jobs-housing imbalance due to the specialized industrial structure and limited availability of housing. However, geographically weighted regression reveals the development zones in the traditional Pudong district are exceptional insofar as government policy has created spatial heterogeneity there. In addition, the multilevel model used in this study suggests regions with jobs-housing imbalance usually have well-connected streets, and this represents the local government’s efforts to reduce excessive commuting times created by jobs-housing imbalance.

The 1979 election heralded a political sea change in the UK, as Thatcherite Two Nation' politics regarded inequality as evidence of a vibrant capitalism. As a result, inter-regional inequalities were exacerbated as the effects of deindustrialisation, capacity reductions and job losses fell most heavily in the 'North'. The lifting of restrictions on capital export precipitated the overseas relocation of private sector manufacturing, with job losses concentrated in the 'North'. Cuts to nationalised industries were also concentrated in the 'North'. Meanwhile the 'South' benefited because of the primacy given to banking and financial services in economic policy priorities and the spatially selective concentration of Government spending on R&D and infrastructure. However, there were also widening intraregional inequalities within both 'North' and 'South', not least because of housing policies. Crucially, post-Thatcher the neoliberal emphases on private sector growth and commodification were adopted by New Labour and Conservative–Liberal coalition governments so that socio-spatial inequality became more deeply embedded in a Divided Kingdom.

Purpose>Taking as a case study the city of San Carlos de Bariloche – in northern Patagonia, Argentina – this paper aims to compare its urban structure with previous urbanization models and identify some characteristics of this tourist city that could inspire the construction of an adapted urban model for Latin American tourist cities, particularly those based on natural attractions.Design/methodology/approach>Based on multivariate analysis of population census data and local economic statistics, this paper compares the residential location of different social groups and the location of main economic activities in Bariloche. First, principal component analysis (PCA) is combined with cluster analysis to classify Bariloche’s neighborhoods. Second, different maps are analyzed to study the location of economic activities, in comparison with previous clusters.Findings>The results of this paper show that Bariloche partially adjusts to previous urbanization models, as the landscape and physical environment determine the characteristics of its urban growth, as well as the development of tourist activities. Therefore, this paper then proposes an adapted urban model for the case of Bariloche, which could be also contrasted with other Latin American tourist cities in the future.Originality/value>Bearing in mind that there is no model of Latin American tourist cities so far, this paper tries to analyze to what extent the assumptions and patterns of previous urban models could be adapted to Latin American tourist cities, such as Bariloche, which base their attractiveness and economic dynamism on its natural physical environment.

Several recent studies have concluded that residential segregation by income in the United States has increased in the decades since 1970, including a significant increase after 2000. Income segregation measures, however, are biased upward when based on sample data. This is a potential concern because the sampling rate of the American Community Survey (ACS)—from which post-2000 income segregation estimates are constructed—was lower than that of the earlier decennial censuses. Thus, the apparent increase in income segregation post-2000 may simply reflect larger upward bias in the estimates from the ACS, and the estimated trend may therefore be inaccurate. In this study, we first derive formulas describing the approximate sampling bias in two measures of segregation. Next, using Monte Carlo simulations, we show that the bias-corrected estimators eliminate virtually all of the bias in segregation estimates in most cases of practical interest, although the correction fails to eliminate bias in some cases when the population is unevenly distributed among geographic units and the average within-unit samples are very small. We then use the bias-corrected estimators to produce unbiased estimates of the trends in income segregation over the last four decades in large U.S. metropolitan areas. Using these corrected estimates, we replicate the central analyses in four prior studies on income segregation. We find that the primary conclusions from these studies remain unchanged, although the true increase in income segregation among families after 2000 was only half as large as that reported in earlier work. Despite this revision, our replications confirm that income segregation has increased sharply in recent decades among families with children and that income inequality is a strong and consistent predictor of income segregation.

Urban scaling research finds that agglomeration effects—the higher-than-expected outputs of larger cities—follow robust “superlinear” scaling relations in cross-sectional data. But the paradigm has predictive ambitions involving the dynamic scaling of individual cities over many time points and expects parallel superlinear growth trajectories as cities’ populations grow. This prediction has not yet been rigorously tested. I use geocoded microdata to approximate the city-size effect on per capita wage in 73 Swedish labor market areas for 1990–2012. The data support a superlinear scaling regime for all Swedish agglomerations. Echoing the rich-get-richer process on the system level, however, trajectories of superlinear growth are highly robust only for cities assuming dominant positions in the urban hierarchy.

The steep rise in U.S. criminal punishment in recent decades has spurred scholarship on the collateral consequences of imprisonment for individuals, families, and communities. Several excellent studies have estimated the number of people who have been incarcerated and the collateral consequences they face, but far less is known about the size and scope of the total U.S. population with felony convictions beyond prison walls, including those who serve their sentences on probation or in jail. This article develops state-level estimates based on demographic life tables and extends previous national estimates of the number of people with felony convictions to 2010. We estimate that 3 % of the total U.S. adult population and 15 % of the African American adult male population has ever been to prison; people with felony convictions account for 8 % of all adults and 33 % of the African American adult male population. We discuss the far-reaching consequences of the spatial concentration and immense growth of these groups since 1980.

This research investigated spatial inequalities in transportation accessibility to social infrastructures (SIs) in South Korea, using a multi-dimensional methodological approach, including descriptive/bivariate analysis, explanatory factor analysis (EFA), K-Mean cluster analysis, and multinomial logit model (MNL). Our study confirmed pronounced spatial disparities in transportation accessibility to SIs, highlighting significantly lower access in rural and remote regions compared to urban centers and densely populated areas, consistent with existing literature. Building on prior findings, several additional findings were identified. First, we uncovered significant positive correlations among accessibility to different types of SIs in four critical categories: green and recreation spaces, health and aged care facilities, educational institutions, and justice and emergency services, revealing prevalent spatial inequality patterns. Second, we identified three distinct accessibility clusters (High, Middle, and Low) across the critical SI categories. Specifically, residents within the High cluster benefited from the closest average network distances to all SIs, while those in the Low cluster faced significant accessibility burdens (e.g., 22.9 km for welfare facilities, 20.1 km for hospitals, and 19.2 km for elderly care facilities). Third, MNL identified factors such as population density and housing prices as pivotal in spatial stratification of accessibility. Specifically, areas with lower SI accessibility tended to have a higher proportion of elderly residents. Also, decreased accessibility correlated with diminished traffic volumes across all transportation modes, particularly public transportation. This research contributes to enhancing our understanding of spatial inequalities in transportation accessibility to SIs and offers insights crucial for transportation and urban planning.

Contrary to the idea that neighbourhood cohesion is something that inherently benefits the poor or counterbalances the forces of social exclusion, in this article we argue that it can also function as a mechanism of cumulative advantage. In order to explore this proposal, we offer a definition and key dimensions of neighbourhood cohesion based on three components: place attachment, local relations and commitment to the local common good. We test our proposal in a highly segregated Latin American city: Santiago, Chile. A combination of survey data and georeferenced information was obtained from a random sample of 700 residents. The results reveal the existence of four neighbourhood cohesion types: Communitarians, Belongers, Strangers and Outsiders. As expected, we found that people who reside in affluent areas and perceive themselves to live in more reputable neighbourhoods are those who report the strongest patterns of neighbourhood cohesion. We conclude by questioning the scope and effectiveness of policies which have promoted neighbourhood cohesion as a ‘tool’ of governance without first attempting to reduce socio-spatial rifts. We also ask whether these notable spatial differences in neighbourhood cohesion contribute to improving the overall social cohesion at the city level. 与街区凝聚力本质上有益于穷人或能抵消社会排斥力量的观点相反，在本文中，我们认为它也可能作为累积优势的机制。为了探索这一假设，我们提出了一个基于三个组成部分的街区凝聚力的定义和关键维度：地方依附、地方关系和对地方共同利益的承诺。我们在一个高度隔离的拉丁美洲城市测试我们的假设：智利的圣地亚哥。调查数据和地理参考信息的结合是从随机抽样的700名居民中获得的。研究结果揭示了四种街区凝聚力类型的存在：社群主义者、归属者、陌生人和局外人。不出所料，我们发现居住在富裕地区、并认为自己生活在更有声望的街区的人报告的街区凝聚力最强。最后，我们质疑那些将街区凝聚力作为治理“工具”、却不首先试图减少社会空间裂痕的政策的范围和有效性。我们还探寻，这些显著的街区凝聚力空间差异是否有助于提高城市一级的整体社会凝聚力。

Introduction The COVID-19 epidemic and various control and mitigation measures to combat the widespread outbreak of the disease may affect other parts of health care systems. There is a concern that the COVID-19 pandemic could disrupt HIV services. Therefore, this study aimed to systematically evaluate the effect of the COVID-19 pandemic on service delivery and treatment outcomes in people with HIV. Methods In this study, a systematic search was conducted using the keywords in the online databases including Scopus, PubMed, Web of Science, and Cochrane databases. The retrieved articles underwent a two-step title/abstract and full-text review process, and the eligible papers were selected and included in the qualitative synthesis. Result We selected 16 studies out of 529 retrieved records that met the inclusion criteria for this review. Study populations of the selected studies were either HIV-positive patients or HIV clinics and healthcare providers. Most studies were focused on adhering to and obtaining medication and attending clinical appointments and their decrement during the pandemic. Other aspects of HIV care (alternative healthcare settings, viral suppression, psychological care, etc.) were discussed to a lesser extent by the included studies. Conclusion Interruption in in-person visits and medical follow-up services, loss of adherence to treatment, and subsequent increase in mortality due to the COVID-19 pandemic complications in PLHIV have led to growing concerns. Other challenges were psychological disorders such as anxiety and depression, an increase in substance abuse, and a rise in experienced stigma and discrimination. However, the use of telemedicine in some countries helps to alleviate the situation to some extent and is recommended in similar settings in the future.