Socioeconomic status and long-term exposure to disadvantaged neighbourhoods in France

Urban Studies ◽  
2019 ◽  
Vol 57 (13) ◽  
pp. 2663-2680
Author(s):  
Haley McAvay

This paper uses a large-scale longitudinal data set from France over a 23-year period (1990–2013) to investigate the links between socioeconomic status and long-term exposure to disadvantaged neighbourhoods. The findings show that while local environments tend to be durable over the life course, higher income substantially reduces the risk of staying in spaces with high unemployment over time. The negative effect of income on the transmission of disadvantage is found regardless of immigrant background. However, a specific form of socio-spatial disadvantage is observed for low-income children of non-European immigrant(s), who experience a greater degree of exposure to high unemployment areas from childhood to adulthood than any other group. These findings make a new contribution to emerging research on intergenerational contextual mobility by documenting the moderating effect of income and immigrant origin on the transmission of spatial disadvantage.

2019 ◽  
Vol 35 (4) ◽  
pp. 538-551 ◽  
Author(s):  
Maria Vaalavuo ◽  
Maarten van Ham ◽  
Timo M Kauppinen

Abstract The spatial concentration of immigrants in disadvantaged neighbourhoods may hinder their opportunities for social and economic integration. It is therefore important that immigrants can translate their available economic resources into mobility to less disadvantaged neighbourhoods. This study adds to existing research on the relationship between socioeconomic and spatial integration by focusing on the effects of income mobility on residential mobility. We analyse intra-urban residential mobility from low-income neighbourhoods into non-low-income neighbourhoods among immigrants and native-born residents in three urban regions in Finland. We use longitudinal register data for the 2004–2014 period for the full population, allowing a dynamic analysis of changes in income and neighbourhood of residence. Based on fixed-effects multinomial logit modelling of residential outcomes, we found that upward income mobility is connected to exit from low-income areas, but the effect is stronger among the native-born Finns than among those with an immigrant background. This stronger effect for natives is in contrast to findings of previous European studies, suggesting that these might have been influenced by unobserved individual-level heterogeneity. Our findings imply that both policies improving labour market opportunities of immigrants and policies reducing constraints for spatial integration are needed if the aim is to decrease ethnic residential segregation.


2020 ◽  
Vol 44 (5) ◽  
pp. 780-805 ◽  
Author(s):  
Jianwei Liu ◽  
Jinah Park ◽  
Karen Xie ◽  
Haiyan Song ◽  
Wei Chen

Commercial hosts are becoming increasingly common in peer-to-peer (P2P) accommodation sharing. Yet the interplay between commercial and individual hosts has been unclear. This study investigates the effect of properties managed by commercial hosts on the individual hosts in the neighborhood. Specifically, we hypothesize that an increase in commercial properties, which have competitive advantages, would penetrate neighborhood markets and cannibalize the online popularity of individual properties. We test these hypotheses using a large-scale, longitudinal data set collected from a leading P2P accommodation-sharing platform in Beijing. The findings show that an increase in commercial properties is associated with a decline in the popularity of individual properties in the neighborhood. However, the negative effect of commercial properties is weakened when there is a higher price difference between the two ownership types and a higher density of tourist attractions. The implications for service operations and strategies for P2P accommodation-sharing businesses are discussed.


ESMO Open ◽  
2020 ◽  
Vol 5 (5) ◽  
pp. e000743 ◽  
Author(s):  
Shani Paluch-Shimon ◽  
Nathan I Cherny ◽  
Elisabeth G E de Vries ◽  
Urania Dafni ◽  
Martine J Piccart ◽  
...  

Click here to listen to the PodcastBackgroundThe European Society for Medical Oncology-Magnitude of Clinical Benefit Scale (ESMO-MCBS) is a validated value scale for solid tumour anticancer treatments. Form 1 of the ESMO-MCBS, used to grade therapies with curative intent including adjuvant therapies, has only been evaluated for a limited number of studies. This is the first large-scale field testing in early breast cancer to assess the applicability of the scale to this data set and the reasonableness of derived scores and to identify any shortcomings to be addressed in future modifications of the scale.MethodRepresentative key studies and meta-analyses of the major modalities of adjuvant systemic therapy of breast cancer were identified for each of the major clinical scenarios (HER2-positive, HER2-negative, endocrine-responsive) and were graded with form 1 of the ESMO-MCBS. These generated scores were reviewed by a panel of experts for reasonableness. Shortcomings and issues related to the application of the scale and interpretation of results were identified and critically evaluated.ResultsSixty-five studies were eligible for evaluation: 59 individual studies and 6 meta-analyses. These studies incorporated 101 therapeutic comparisons, 61 of which were scorable. Review of the generated scores indicated that, with few exceptions, they generally reflected contemporary standards of practice. Six shortcomings were identified related to grading based on disease-free survival (DFS), lack of information regarding acute and long-term toxicity and an inability to grade single-arm de-escalation scales.ConclusionsForm 1 of the ESMO-MCBS is a robust tool for the evaluation of the magnitude of benefit studies in early breast cancer. The scale can be further improved by addressing issues related to grading based on DFS, annotating grades with information regarding acute and long-term toxicity and developing an approach to grade single-arm de-escalation studies.


Challenge ◽  
2017 ◽  
Vol 60 (6) ◽  
pp. 514-542 ◽  
Author(s):  
Arloc Sherman ◽  
Tazra Mitchell

Author(s):  
Mo Pak Hung

In this study, the empirical contents of various income inequality measures are compared under an identical framework with a well-tested data set. Our study suggests that long-term income inequality has a strong negative effect on Gross Domestic Product (GDP) growth under different measurements. Moreover, governments should investigate further into changes in the income size of the middle class as an indicator for potential changes in social stability, investment, and GDP growth, besides focusing on the Gini coefficient, which they predominantly do now.


2020 ◽  
Vol 73 (4) ◽  
pp. 1163-1186
Author(s):  
Elaine Maag ◽  
Nikhita Airi

Policymakers grapple with the related issues of unequal incomes, relatively poor health, education, and economic outcomes for low-income children, and hardship among low- and moderate-income families. Refundable tax credits provide substantial support and relief to many. This analysis details who benefits from the earned income tax credit (EITC) and the child tax credit (CTC) and four large-scale tax credit proposals that would provide substantial and ongoing benefits through these or similar credits. Broadly, proposals focused on children exclude childless adults and the elderly, and proposals focused on work exclude nonworkers, including most of the elderly, but include many workers with children.


Sign in / Sign up

Export Citation Format

Share Document