IDEAS home Printed from https://ideas.repec.org/p/war/wpaper/2021-01.html
   My bibliography  Save this paper

Causes of the spatially uneven outflow of Warsaw inhabitants to the city’s suburbs: an economic analysis of the problem

Author

Listed:
  • Honorata Bogusz

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

Abstract

In this article I provide a quantitative analysis of suburban migration patterns in Warsaw, Poland. Basing this analysis on the extended gravity model of migration, an econometric panel model was built to identify key pulling factors for migrants who move from Warsaw to its suburbs. The role of residential lot prices and the resulting possible endogeneity are also discussed. It was confirmed that migrants choose boroughs of greater population density that have higher average relative income and more amenities, but at a smaller distance to Warsaw’s city center and with lower residential lot prices relative to those in Warsaw.

Suggested Citation

  • Honorata Bogusz, 2021. "Causes of the spatially uneven outflow of Warsaw inhabitants to the city’s suburbs: an economic analysis of the problem," Working Papers 2021-01, Faculty of Economic Sciences, University of Warsaw.
    • Handle: RePEc:war:wpaper:2021-01
    as

    Download full text from publisher

    File URL: https://www.wne.uw.edu.pl/index.php/download_file/6134/
    File Function: First version, 2021
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    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. Katrin Millock, 2015. "Migration and Environment," Annual Review of Resource Economics, Annual Reviews, vol. 7(1), pages 35-60, October.
    5. 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.
    6. Mundlak, Yair, 1978. "On the Pooling of Time Series and Cross Section Data," Econometrica, Econometric Society, vol. 46(1), pages 69-85, January.
    7. Katrin Millock, 2015. "Migration and Environment," Post-Print halshs-01302611, HAL.
    8. Katrin Millock, 2015. "Migration and Environment," PSE-Ecole d'économie de Paris (Postprint) halshs-01302611, HAL.
    9. Katrin Millock, 2015. "Migration and Environment," PSE - Labex "OSE-Ouvrir la Science Economique" halshs-01302611, HAL.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. Théo Benonnier & Katrin Millock & Vis Taraz, 2022. "Long-term migration trends and rising temperatures: the role of irrigation," Journal of Environmental Economics and Policy, Taylor & Francis Journals, vol. 11(3), pages 307-330, July.
    3. Els BEKEART & Ilse RUYSSEN & Sara SALOMONE, 2021. "Domestic and International Migration Intentions in Response to Environmental Stress: A Global Cross-country Analysis," JODE - Journal of Demographic Economics, Cambridge University Press, vol. 87(3), pages 383-436, September.
    4. Michel Beine & Ilan Noy & Christopher Parsons, 2021. "Climate change, migration and voice," Climatic Change, Springer, vol. 167(1), pages 1-27, July.
    5. Sedova, Barbora & Kalkuhl, Matthias, 2020. "Who are the climate migrants and where do they go? Evidence from rural India," World Development, Elsevier, vol. 129(C).
    6. Dugan, Anna & Prskawetz, Alexia & Raffin, Natacha, 2022. "The Environment, Life Expectancy and Growth in Overlapping Generations Models: A Survey," ECON WPS - Working Papers in Economic Theory and Policy 01/2022, TU Wien, Institute of Statistics and Mathematical Methods in Economics, Economics Research Unit.
    7. Taraz, Vis, 2018. "Can farmers adapt to higher temperatures? Evidence from India," World Development, Elsevier, vol. 112(C), pages 205-219.
    8. Yonas Alem & Mathilde Maurel & Katrin Millock, 2016. "Migration as an Adaptation Strategy to Weather Variability: An Instrumental Variables Probit Analysis," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-01955941, HAL.
    9. Simone Bertoli & Frédéric Docquier & Hillel Rapoport & Ilse Ruyssen, 2022. "Weather shocks and migration intentions in Western Africa: insights from a multilevel analysis [Do climate variations explain bilateral migration? A gravity model analysis]," Journal of Economic Geography, Oxford University Press, vol. 22(2), pages 289-323.
    10. Bhaskar Jyoti Neog, 2022. "Temperature shocks and rural labour markets: evidence from India," Climatic Change, Springer, vol. 171(1), pages 1-20, March.
    11. Michał Burzyński & Christoph Deuster & Frédéric Docquier & Jaime de Melo, 2022. "Climate Change, Inequality, and Human Migration," Journal of the European Economic Association, European Economic Association, vol. 20(3), pages 1145-1197.
    12. Artjoms Ivlevs, 2021. "Does Emigration Affect Pro‐environmental Behaviour Back Home? A Long‐Term, Local‐Level Perspective," Kyklos, Wiley Blackwell, vol. 74(1), pages 48-76, February.
    13. Ludolph, Lars & Sedova, Barbora, 2021. "Global food prices, local weather and migration in Sub-Saharan Africa," VfS Annual Conference 2021 (Virtual Conference): Climate Economics 242334, Verein für Socialpolitik / German Economic Association.
    14. Martinez-Zarzoso, Inmaculada, 2017. "Searching for grouped patterns of heterogeneity in the climate-migration link," University of Göttingen Working Papers in Economics 321, University of Goettingen, Department of Economics.
    15. Zaveri, Esha D. & Wrenn, Douglas H. & Fisher-Vanden, Karen, 2020. "The impact of water access on short-term migration in rural India," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 64(2), April.
    16. Douglas S. Noonan & Xian Liu, 2019. "Heading for the Hills? Effects of Community Flood Management on Local Adaptation to Flood Risks," Southern Economic Journal, John Wiley & Sons, vol. 86(2), pages 800-822, October.
    17. Barbora Šedová & Lucia Čizmaziová & Athene Cook, 2021. "A meta-analysis of climate migration literature," CEPA Discussion Papers 29, Center for Economic Policy Analysis.
    18. Lucas Bretschger & Karen Pittel, 2020. "Twenty Key Challenges in Environmental and Resource Economics," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 77(4), pages 725-750, December.
    19. John Aoga & Juhee Bae & Stefanija Veljanoska & Siegfried Nijssen & Pierre Schaus, 2020. "Impact of weather factors on migration intention using machine learning algorithms," Papers 2012.02794, arXiv.org.
    20. Théo Benonnier & Katrin Millock & Vis Taraz, 2019. "Climate change, migration, and irrigation," PSE Working Papers halshs-02107098, HAL.

    More about this item

    Keywords

    gravity model of migration; suburbanization; Mundlak terms; Correlated Random Effects;
    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
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:war:wpaper:2021-01. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Marcin Bąba (email available below). General contact details of provider: https://edirc.repec.org/data/fesuwpl.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.