How housing outcomes vary between the Belgian regions

Winters, Sien; Heylen, Kristof

doi:10.1007/s10901-013-9364-3

Cited by 18 publications

(14 citation statements)

References 14 publications

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“…The higher exposure of renters to air pollution confirms the studies of Lam and Chung (2012), Grineski et al (2007) and Chakraborty (2009). Contrasting Grineski et al’s results, adding the percentage of rental houses to the model also substantially reduced the effect of income in our models, which could be explained by the strong association between socioeconomic vulnerability and renting in Belgium (Winters & Heylen, 2014). However, the most important housing variable in our models appeared to by the number of house moves per 1000 inhabitants, both in the non-spatial and the spatial model explaining air pollution exposure.…”

Section: Discussionsupporting

confidence: 76%

Unequal residential exposure to air pollution and noise: A geospatial environmental justice analysis for Ghent, Belgium

Verbeek¹

2019

SSM - Population Health

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Following the growing empirical evidence on the health effects of air pollution and noise, the fair distribution of these impacts receives increasing attention. The existing environmental inequality studies often focus on a single environmental impact, apply a limited range of covariates or do not correct for spatial autocorrelation. This article presents a geospatial data analysis on Ghent (Belgium), combining residential exposure to air pollution and noise with socioeconomic variables and housing variables. The global results show that neighborhoods with lower household incomes, more unemployment, more people of foreign origin, more rental houses, and higher residential mobility, are more exposed to air pollution, but not to noise. Multiple regression models to explain exposure to air pollution show that residential mobility and percentage of rental houses are the strongest predictors, stressing the role of the housing market in explaining which people are most at risk. Applying spatial regression models leads to better models but reduces the importance of all covariates, leaving income and residential mobility as the only significant predictors for air pollution exposure. While traditional multiple regression models were not significant for explaining noise exposure, spatial regression models were, and also indicate the significant contribution of income to the model. This means income is a robust predictor for both air pollution and noise exposure across the whole urban territory. The results provide a good starting point for discussions about environmental justice and the need for policy action. The study also underlines the importance of taking spatial autocorrelation into account when analyzing environmental inequality.

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Section: Discussionsupporting

confidence: 76%

Unequal residential exposure to air pollution and noise: A geospatial environmental justice analysis for Ghent, Belgium

Verbeek¹

2019

SSM - Population Health

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“…The strong focus of the Belgian housing policies on encouraging owner-occupation is partly to blame. The regional governments mainly provide a favorable fiscal regime for home-buyers, while subsidies for renters remain quite low (Winters and Heylen, 2014). A study from Flanders, the Northern part of Belgium, showed that selling of the jointly owned house to a third party after separation has decreased over time-in the most recent studied separation cohort (2001-2010), 35% of men and 31% of women became sole homeowners, whereas 23% sold their house to a third party (Pasteels and Mortelmans, 2015).…”

Section: The Belgian Contextmentioning

confidence: 99%

“…In a country like Belgium, the question of who moves might be of the utmost importance. Belgium not only has high divorce rates (Eurostat, 2015a), it is also characterised by a limited supply of good quality and affordable (social and private) rental housing-the type of housing where many separated tend to end up (Winters and Heylen, 2014;Pittini et al, 2015;Mikolai and Kulu, 2017). We focus on the importance of partners' absolute and relative education because education is multifaceted: a higher level of education not only reflects better labour market opportunities and higher earnings potential (Kalmijn, 1998), it also contributes to partners' personal values, beliefs, skills and knowledge (or human capital) (Becker, 2009).…”

Section: Introductionmentioning

confidence: 99%

Who Leaves the Joint Home after Separation? The Role of Partners’ Absolute and Relative Education in Belgium

Theunis

Eeckhaut

Bavel

2018

European Sociological Review

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After union dissolution, the question of who stays in the joint home and who moves to a new place is of great importance to the life courses of the separating adults as well as any children involved. Drawing on a unique Belgian dataset linking Census and Register data (N=56,931), this study addresses the role of heterosexual partners' absolute and relative educational attainment by means of Diagonal Reference Models. Results for absolute education, which are based on the homogamous couples, show that the man is more likely to move when the couple has many educational resources, while the woman or both partners are more likely to move in couples with low levels of education. Results for relative education, which are based on the heterogamous couples, show that the partner with the highest education level is more likely to stay, particularly when the difference is large. In line with predictions based on women's greater perceived vulnerability after separation, who moves and who stays is more strongly associated with the woman's than with the man's education. This indicates that human capital may insure women against poverty by reinforcing their position not only in the labour market but also in the housing market.

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“…For the majority of relocations, moving to a specific area is not an important objective. In particular, only 7% of households that moved mentioned work as the main reason, while 69% indicated dissatisfaction with the current dwelling and 24% pointed at personal reasons (Winters and Heylen, 2013). Large differences in house prices, especially between Wallonia and Brussels, can be an obstacle for people to relocate over longer distances.…”

Section: High Homeownership Weighs On Residential Mobilitymentioning

confidence: 99%

“…Many people who would qualify for social housing based on their financial means have to resort to the private rental market, and the higher rents weigh heavily on their budgets. Affordability problems are most severe in Brussels, where the share of households with housing cost overburden is above 21%, compared to around 10% in Wallonia and 6% in Flanders (Winters and Heylen, 2013). The difference between the capital and the other Regions reflects both the higher cost of accommodation and the much higher share of the population at risk of poverty.…”

mentioning

confidence: 99%

Maintaining an Efficient and Equitable Housing Market in Belgium

Zwart

2015

OECD Economics Department Working Papers

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Organisation de Coopération et de Développement Économiques Organisation for Economic Cooperation and Development 28-Apr-2015 ___________________________________________________________________________________________ _____________ English-Or. English ECONOMICS DEPARTMENT MAINTAINING AN EFFICIENT AND EQUITABLE HOUSING MARKET IN BELGIUM ECONOMICS DEPARTMENT WORKING PAPERS No. 1208 By Sanne Zwart OECD Working Papers should not be reported as representing the official views of the OECD or of its member countries. The opinions expressed and arguments employed are those of the author(s).

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How housing outcomes vary between the Belgian regions

Cited by 18 publications

References 14 publications

Unequal residential exposure to air pollution and noise: A geospatial environmental justice analysis for Ghent, Belgium

Unequal residential exposure to air pollution and noise: A geospatial environmental justice analysis for Ghent, Belgium

Who Leaves the Joint Home after Separation? The Role of Partners’ Absolute and Relative Education in Belgium

Maintaining an Efficient and Equitable Housing Market in Belgium

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