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Does segregation reduce socio-spatial mobility? Evidence from four European countries with different inequality and segregation contexts

Author

Listed:
  • Jaap Nieuwenhuis

    (Delft University of Technology, the Netherlands)

  • Tiit Tammaru

    (University of Tartu, Estonia)

  • Maarten van Ham

    (Delft University of Technology, the Netherlands; University of St Andrews, UK)

  • Lina Hedman

    (Institute for Housing and Urban Studies, Sweden)

  • David Manley

    (University of Bristol, UK)

Abstract

The neighbourhood in which people live reflects their social class and preferences, so studying socio-spatial mobility between neighbourhood types gives insight into the openness of spatial class structures of societies and into the ability of people to leave disadvantaged neighbourhoods. In this paper we study the extent to which people move between different types of neighbourhoods by socio-economic status in different inequality and segregation contexts in four European countries: Sweden, the Netherlands, the UK (England and Wales), and Estonia. The study is based on population registers and census data for the 2001–2011 period. For England and Wales, which has long had high levels of income inequalities and high levels of socio-economic segregation, we find that levels of mobility between neighbourhood types are low and opportunities to move to more socio-economically advantaged neighbourhoods are modest. In Estonia, which used to be one of the most equal and least segregated countries in Europe, and now is one of the most unequal countries, we find high levels of mobility, but these reproduce segregation patterns and it is difficult to move to less deprived neighbourhoods for those in the most deprived neighbourhoods. In the Netherlands and Sweden, where income inequalities are the smallest, it is the easiest to move from the most deprived to less deprived neighbourhoods. The conclusion is that the combination of high levels of income inequalities and high levels of spatial segregation tend to lead to a vicious circle of segregation for low-income groups, where it is difficult to undertake upward socio-spatial mobility.

Suggested Citation

  • Jaap Nieuwenhuis & Tiit Tammaru & Maarten van Ham & Lina Hedman & David Manley, 2020. "Does segregation reduce socio-spatial mobility? Evidence from four European countries with different inequality and segregation contexts," Urban Studies, Urban Studies Journal Limited, vol. 57(1), pages 176-197, January.
  • Handle: RePEc:sae:urbstu:v:57:y:2020:i:1:p:176-197
    DOI: 10.1177/0042098018807628
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    Cited by:

    1. Kolkowski, Lukas & Cats, Oded & Dixit, Malvika & Verma, Trivik & Jenelius, Erik & Cebecauer, Matej & Rubensson, Isak Jarlebring, 2023. "Measuring activity-based social segregation using public transport smart card data," Journal of Transport Geography, Elsevier, vol. 110(C).
    2. Tainá A Bittencourt & Mariana Giannotti & Eduardo Marques, 2021. "Cumulative (and self-reinforcing) spatial inequalities: Interactions between accessibility and segregation in four Brazilian metropolises," Environment and Planning B, , vol. 48(7), pages 1989-2005, September.
    3. Lina Hedman & Maarten van Ham, 2021. "Three Generations of Intergenerational Transmission of Neighbourhood Context," Social Inclusion, Cogitatio Press, vol. 9(2), pages 129-141.
    4. van Ham, Maarten & Manley, David & Tammaru, Tiit, 2022. "Geographies of Socio-Economic Inequality," IZA Discussion Papers 15153, Institute of Labor Economics (IZA).
    5. Jaap Nieuwenhuis & Jiayi Xu, 2021. "Residential Segregation and Unequal Access to Schools," Social Inclusion, Cogitatio Press, vol. 9(2), pages 142-153.
    6. Toger, Marina & Türk, Umut & Östh, John & Kourtit, Karima & Nijkamp, Peter, 2023. "Inequality in leisure mobility: An analysis of activity space segregation spectra in the Stockholm conurbation," Journal of Transport Geography, Elsevier, vol. 111(C).
    7. Paolo Veneri & Andre Comandon & Miquel‐Àngel Garcia‐López & Michiel N. Daams, 2021. "What do divided cities have in common? An international comparison of income segregation," Journal of Regional Science, Wiley Blackwell, vol. 61(1), pages 162-188, January.
    8. Nieuwenhuis, Jaap & Kleinepier, Tom & van Ham, Maarten, 2019. "Neighbourhood and School Poverty Simultaneously Predicting Educational Achievement, Taking into Account Timing and Duration of Exposure," IZA Discussion Papers 12396, Institute of Labor Economics (IZA).
    9. Xia, Fangzhou & Lu, Pingzhen, 2023. "Can mixed land use promote social integration? Multiple mediator analysis based on spatiotemporal big data in Beijing," Land Use Policy, Elsevier, vol. 132(C).
    10. Hedman, Lina & Manley, David & van Ham, Maarten, 2017. "Sorting out Neighbourhood Effects Using Sibling Data," IZA Discussion Papers 11178, Institute of Labor Economics (IZA).

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    More about this item

    Keywords

    disadvantaged neighbourhoods; income inequality; international comparison; segregation; socio-spatial mobility;
    All these keywords.

    JEL classification:

    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
    • J61 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Geographic Labor Mobility; Immigrant Workers
    • J62 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Job, Occupational and Intergenerational Mobility; Promotion
    • R23 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Regional Migration; Regional Labor Markets; Population

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