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What factors determine unequal suburbanisation? New evidence from Warsaw, Poland

Author

Listed:
  • Honorata Bogusz

    (Faculty of Economic Sciences, University of Warsaw and Labfam)

  • Szymon Winnicki

    (Faculty of Economic Sciences, University of Warsaw)

  • Piotr Wójcik

    (Faculty of Economic Sciences, Data Science Lab WNE UW, University of Warsaw)

Abstract

This article investigates the causes of spatially uneven migration from Warsaw to its suburban boroughs. The method is based on the gravity model of migration extended by additional measures of possible pulling factors. We report a novel approach to modelling suburbanisation: several linear and non-linear predictive models are estimated and explainable AI methods are used to interpret the shape of relationships between the dependent variable and the most important regressors. It is confirmed that migrants choose boroughs of better amenities and of smaller distance to Warsaw city center.

Suggested Citation

  • Honorata Bogusz & Szymon Winnicki & Piotr Wójcik, 2020. "What factors determine unequal suburbanisation? New evidence from Warsaw, Poland," Working Papers 2020-34, Faculty of Economic Sciences, University of Warsaw.
  • Handle: RePEc:war:wpaper:2020-34
    as

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    File URL: https://www.wne.uw.edu.pl/index.php/download_file/5886/
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    References listed on IDEAS

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    1. Paul Boyle & Robin Flowerdew & Jianfa Shen, 1998. "Modelling Inter-ward Migration in Hereford and Worcester: The Importance of Housing Growth and Tenure," Regional Studies, Taylor & Francis Journals, vol. 32(2), pages 113-132.
    2. Poot, Jacques & Alimi, Omoniyi & Cameron, Michael P. & Maré, David C., 2016. "The gravity model of migration: the successful comeback of an ageing superstar in regional science," INVESTIGACIONES REGIONALES - Journal of REGIONAL RESEARCH, Asociación Española de Ciencia Regional, issue 36, pages 63-86.
    3. Katrin Millock, 2015. "Migration and Environment," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-01302611, HAL.
    4. Michèle Belot & Sjef Ederveen, 2012. "Cultural barriers in migration between OECD countries," Journal of Population Economics, Springer;European Society for Population Economics, vol. 25(3), pages 1077-1105, July.
    5. Greenwood, Michael J., 1993. "Internal migration in developed countries," Handbook of Population and Family Economics, in: M. R. Rosenzweig & Stark, O. (ed.), Handbook of Population and Family Economics, edition 1, volume 1, chapter 12, pages 647-720, Elsevier.
    6. Charles M. Tiebout, 1956. "A Pure Theory of Local Expenditures," Journal of Political Economy, University of Chicago Press, vol. 64(5), pages 416-416.
    7. Katrin Millock, 2015. "Migration and Environment," Annual Review of Resource Economics, Annual Reviews, vol. 7(1), pages 35-60, October.
    8. Michel Beine & Simone Bertoli & Jesús Fernández-Huertas Moraga, 2016. "A Practitioners’ Guide to Gravity Models of International Migration," The World Economy, Wiley Blackwell, vol. 39(4), pages 496-512, April.
    9. Peter Mieszkowski & Edwin S. Mills, 1993. "The Causes of Metropolitan Suburbanization," Journal of Economic Perspectives, American Economic Association, vol. 7(3), pages 135-147, Summer.
    10. Katrin Millock, 2015. "Migration and Environment," Post-Print halshs-01302611, HAL.
    11. Brueckner, Jan K., 1987. "The structure of urban equilibria: A unified treatment of the muth-mills model," Handbook of Regional and Urban Economics, in: E. S. Mills (ed.), Handbook of Regional and Urban Economics, edition 1, volume 2, chapter 20, pages 821-845, Elsevier.
    12. Grogger, Jeffrey & Hanson, Gordon H., 2011. "Income maximization and the selection and sorting of international migrants," Journal of Development Economics, Elsevier, vol. 95(1), pages 42-57, May.
    13. Matthew E. Kahn, 2000. "The environmental impact of suburbanization," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 19(4), pages 569-586.
    14. Michel Beine & Simone Bertoli & Jesús Fernández-Huertas Moraga, 2016. "A Practitioners’ Guide to Gravity Models of International Migration," The World Economy, Wiley Blackwell, vol. 39(4), pages 496-512, April.
    15. Wolfgang Loibl, 2004. "Simulation of suburban migration: driving forces, socio-economic characteristics, migration behaviour and resulting land-use patterns," Vienna Yearbook of Population Research, Vienna Institute of Demography (VID) of the Austrian Academy of Sciences in Vienna, vol. 2(1), pages 203-226.
    16. Michal Bernard Pietrzak & Justyna Wilk & Stanislaw Matusik, 2013. "Gravity model as the tool for internal migration analysis in Poland in 2004-2010," Working Papers 28/2013, Institute of Economic Research, revised Jul 2013.
    17. Katrin Millock, 2015. "Migration and Environment," PSE-Ecole d'économie de Paris (Postprint) halshs-01302611, HAL.
    18. repec:hal:pseose:halshs-01302611 is not listed on IDEAS
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    Cited by:

    1. Romuald Jończy & Przemysław Śleszyński & Alicja Dolińska & Michał Ptak & Justyna Rokitowska-Malcher & Diana Rokita-Poskart, 2021. "Environmental and Economic Factors of Migration from Urban to Rural Areas: Evidence from Poland," Energies, MDPI, vol. 14(24), pages 1-25, December.

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    More about this item

    Keywords

    suburbanisation; gravity model of migration; machine learning models; explainable artificial intelligence;
    All these keywords.

    JEL classification:

    • R23 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Regional Migration; Regional Labor Markets; Population
    • P25 - Political Economy and Comparative Economic Systems - - Socialist and Transition Economies - - - Urban, Rural, and Regional Economics
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection

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