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Spatial Mismatch, Poverty and Vulnerable Populations

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  • Laurent Gobillon

    (PSE - Paris-Jourdan Sciences Economiques - ENS-PSL - École normale supérieure - Paris - PSL - Université Paris Sciences et Lettres - INRA - Institut National de la Recherche Agronomique - EHESS - École des hautes études en sciences sociales - ENPC - École des Ponts ParisTech - CNRS - Centre National de la Recherche Scientifique, PSE - Paris School of Economics - UP1 - Université Paris 1 Panthéon-Sorbonne - ENS-PSL - École normale supérieure - Paris - PSL - Université Paris Sciences et Lettres - EHESS - École des hautes études en sciences sociales - ENPC - École des Ponts ParisTech - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement, INED - Institut national d'études démographiques)

  • Harris Selod

    (Banque Mondiale - Banque Mondiale - Banque Mondiale, PSE - Paris-Jourdan Sciences Economiques - ENS-PSL - École normale supérieure - Paris - PSL - Université Paris Sciences et Lettres - INRA - Institut National de la Recherche Agronomique - EHESS - École des hautes études en sciences sociales - ENPC - École des Ponts ParisTech - CNRS - Centre National de la Recherche Scientifique, PSE - Paris School of Economics - UP1 - Université Paris 1 Panthéon-Sorbonne - ENS-PSL - École normale supérieure - Paris - PSL - Université Paris Sciences et Lettres - EHESS - École des hautes études en sciences sociales - ENPC - École des Ponts ParisTech - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement)

Abstract

Spatial mismatch relates the unemployment and poverty of vulnerable population groups to their remoteness from job opportunities. Although the intuition initially applied to African Americans in US inner cities, spatial mismatch has a broader validity beyond the sole US context. In light of a detailed presentation of the mechanisms at work, we present the main results from various empirical tests of the spatial mismatch theory. Since key aspects of that theory remain to be tested, we also discuss methodological approaches and provide guidance for further research. We derive lessons for policy implications and comment on the appropriateness of related urban policies.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Laurent Gobillon & Harris Selod, 2013. "Spatial Mismatch, Poverty and Vulnerable Populations," PSE-Ecole d'économie de Paris (Postprint) halshs-00754821, HAL.
    • Handle: RePEc:hal:pseptp:halshs-00754821
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    Cited by:

    1. Denis Anne, 2019. "Aides à la mobilité et insertion sociale," Erudite Ph.D Dissertations, Erudite, number ph19-03 edited by Yannick L'Horty.
    2. Amaral Haddad, Eduardo & Lozano-Gracia, Nancy & Germani, Eduardo & Vieira, Renato & Nakamura, Shohei & Skoufias, Emmanuel & Bianchi Alves, Bianca, 2018. "Mobility in Cities: Distributional Impact Analysis of Transportation Improvement in São Paulo Metropolitan Region," TD NEREUS 4-2018, Núcleo de Economia Regional e Urbana da Universidade de São Paulo (NEREUS).
    3. Matthieu Solignac & Maxime Tô, 2018. "Do Workers Make Good Neighbours? The Impact of Local Employment on Young Male and Female Entrants to the Labour Market," Annals of Economics and Statistics, GENES, issue 130, pages 167-198.
    4. Liping Wang & Cifang Wu & Songnian Zhao, 2022. "A Review of Spatial Mismatch Research: Empirical Debate, Theoretical Evolution and Connotation Expansion," Land, MDPI, vol. 11(7), pages 1-16, July.
    5. Ana I. Moreno-Monroy, 2016. "Access to public transport and labor informality," IZA World of Labor, Institute of Labor Economics (IZA), pages 274-274, July.
    6. van Heerden, Quintin & Karsten, Carike & Holloway, Jenny & Petzer, Engela & Burger, Paul & Mans, Gerbrand, 2022. "Accessibility, affordability, and equity in long-term spatial planning: Perspectives from a developing country," Transport Policy, Elsevier, vol. 120(C), pages 104-119.
    7. Hernandez, Diego & Hansz, Martin & Massobrio, Renzo, 2020. "Job accessibility through public transport and unemployment in Latin America: The case of Montevideo (Uruguay)," Journal of Transport Geography, Elsevier, vol. 85(C).
    8. Claudia N. Berg & Uwe Deichmann & Yishen Liu & Harris Selod, 2017. "Transport Policies and Development," Journal of Development Studies, Taylor & Francis Journals, vol. 53(4), pages 465-480, April.
    9. Ana Maria Bonomi Barufi & Eduardo Amaral Haddad, 2017. "Spatial mismatch, wages and unemployment in metropolitan areas in Brazil," REGION, European Regional Science Association, vol. 4, pages 175-200.
    10. Dionissi Aliprantis & Francisca G.-C. Richter, 2020. "Evidence of Neighborhood Effects from Moving to Opportunity: Lates of Neighborhood Quality," The Review of Economics and Statistics, MIT Press, vol. 102(4), pages 633-647, October.
    11. Min Min & Chen Lin & Xuejun Duan & Zhifeng Jin & Luocheng Zhang, 2021. "Research on targeted land poverty alleviation patterns based on the precise identification of dominant factors of rural poverty: a case study of Siyang County, Jiangsu Province, China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(9), pages 12791-12813, September.
    12. Legrain, Alexander & Buliung, Ron & El-Geneidy, Ahmed M., 2016. "Travelling fair: Targeting equitable transit by understanding job location, sectorial concentration, and transit use among low-wage workers," Journal of Transport Geography, Elsevier, vol. 53(C), pages 1-11.
    13. Haddad, Eduardo Amaral & Lozano-Gracia, Nancy & Germani, Eduardo & Vieira, Renato S. & Nakamura, Shohei & Skoufias, Emmanuel & Alves, Bianca Bianchi, 2019. "Mobility in cities: Distributional impact analysis of transportation improvements in São Paulo Metropolitan Region," Transport Policy, Elsevier, vol. 73(C), pages 125-142.
    14. Glaeser, Edward & Kourtit, Karima & Nijkamp, Peter, 2021. "New urban challenges: Shared spaces in smart places – Overview and positioning," Land Use Policy, Elsevier, vol. 111(C).
    15. Bonomi Barufi, Ana Maria & Amaral Haddad, Eduardo, 2016. "Spatial Mismatch, Wages and Unemployment in Brazilian Metropolitan Areas," TD NEREUS 9-2016, Núcleo de Economia Regional e Urbana da Universidade de São Paulo (NEREUS).
    16. Barzin,Samira & Avner,Paolo & Maruyama Rentschler,Jun Erik & O’Clery,Neave, 2022. "Where Are All the Jobs ? A Machine Learning Approach for High Resolution Urban Employment Prediction inDeveloping Countries," Policy Research Working Paper Series 9979, The World Bank.

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    Keywords

    Spatial Mismatch;

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