IDEAS home Printed from https://ideas.repec.org/h/spr/advchp/978-4-431-55390-8_6.html
   My bibliography  Save this book chapter

Delineating Metropolitan Areas: Measuring Spatial Labour Market Networks Through Commuting Patterns

In: The Economics of Interfirm Networks

Author

Listed:
  • Gilles Duranton

    (University of Pennsylvania)

Abstract

This chapter first discusses the necessity of defining metropolitan areas and current practice in several countries. It argues for the use of a simple algorithm that exploits cross-municipality commuting patterns. Municipalities are aggregated iteratively provided they send a share of their commuters above a given threshold to the rest of a metropolitan area. This algorithm is implemented on Colombian data and its robustness is assessed. Finally, the properties of the resulting spatial labour market networks are explored.

Suggested Citation

  • Gilles Duranton, 2015. "Delineating Metropolitan Areas: Measuring Spatial Labour Market Networks Through Commuting Patterns," Advances in Japanese Business and Economics, in: Tsutomu Watanabe & Iichiro Uesugi & Arito Ono (ed.), The Economics of Interfirm Networks, edition 127, chapter 6, pages 107-133, Springer.
    • Handle: RePEc:spr:advchp:978-4-431-55390-8_6
    DOI: 10.1007/978-4-431-55390-8_6
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. A. G. Makhrova & R. A. Babkin & P. L. Kirillov & A. V. Starikova & A. V. Sheludkov, 2022. "Temporary Mobility and Population Pulsations in Space of Post-Soviet Russia," Regional Research of Russia, Springer, vol. 12(1), pages 36-50, March.
    2. Kang Wu & Jingxian Tang & Ying Long, 2019. "Delineating the Regional Economic Geography of China by the Approach of Community Detection," Sustainability, MDPI, vol. 11(21), pages 1-18, October.
    3. Andrea Spinosa, 2022. "Wider urban zones: use of topology and nighttime satellite images for delimiting urban areas," Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 42(2), pages 141-159, August.
    4. Arnaud Adam & Jean-Charles Delvenne & Isabelle Thomas, 2018. "Detecting communities with the multi-scale Louvain method: robustness test on the metropolitan area of Brussels," Journal of Geographical Systems, Springer, vol. 20(4), pages 363-386, October.
    5. Xu, Chen & Bin, Qiu & Shaoqin, Sun, 2021. "Polycentric spatial structure and energy efficiency: Evidence from China's provincial panel data," Energy Policy, Elsevier, vol. 149(C).
    6. Eduardo Lora, 2021. "Forecasting Formal Employment in Cities," Revista de Economía del Rosario, Universidad del Rosario, vol. 24(1), June.
    7. Fischer, Bruno & Meissner, Dirk & Vonortas, Nicholas & Guerrero, Maribel, 2022. "Spatial features of entrepreneurial ecosystems," Journal of Business Research, Elsevier, vol. 147(C), pages 27-36.
    8. Amedeo Ganciu & Mara Balestrieri & Cristina Imbroglini & Fabrizio Toppetti, 2018. "Dynamics of Metropolitan Landscapes and Daily Mobility Flows in the Italian Context. An Analysis Based on the Theory of Graphs," Sustainability, MDPI, vol. 10(3), pages 1-27, February.
    9. Dingel, Jonathan I. & Miscio, Antonio & Davis, Donald R., 2021. "Cities, lights, and skills in developing economies," Journal of Urban Economics, Elsevier, vol. 125(C).
    10. Anna Busłowska & Jacek Marcinkiewicz, 2023. "Social Cohesion of Functional Urban Areas (Example of Eastern Poland)," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 167(1), pages 451-473, June.
    11. Campi, Mercedes & Dueñas, Marco & Ciarli, Tommaso, 2022. "Do Creative Industries Enhance Employment Growth? Regional Evidence from Colombia," IDB Publications (Working Papers) 11995, Inter-American Development Bank.
    12. Amin Khiali-Miab & Maarten J van Strien & Kay W Axhausen & Adrienne Grêt-Regamey, 2019. "Combining urban scaling and polycentricity to explain socio-economic status of urban regions," PLOS ONE, Public Library of Science, vol. 14(6), pages 1-23, June.
    13. Arribas-Bel, Daniel & Garcia-López, M.-À. & Viladecans-Marsal, Elisabet, 2021. "Building(s and) cities: Delineating urban areas with a machine learning algorithm," Journal of Urban Economics, Elsevier, vol. 125(C).
    14. Jordy Meekes & Wolter H. J. Hassink, 2023. "Endogenous local labour markets, regional aggregation and agglomeration economies," Regional Studies, Taylor & Francis Journals, vol. 57(1), pages 13-25, January.
    15. Juan Esteban Carranza & María Marta Ferreyra & Ana Maria Gazmuri, 2023. "The Dynamic Market for Short-Cycle Higher Education Programs," Borradores de Economia 1265, Banco de la Republica de Colombia.
    16. Zi Ye & Chen Zou & Yongchun Huang, 2022. "Impact of Heterogeneous Spatial Structure on Regional Innovation—From the Perspectives of Efficiency and Gap," Sustainability, MDPI, vol. 14(19), pages 1-22, September.
    17. Mercedes Campi & Marco Dueñas & Tommaso Ciarli, 2024. "Do creative industries enhance employment growth? Regional evidence from Colombia," Regional Studies, Taylor & Francis Journals, vol. 58(3), pages 425-441, March.
    18. Carranza,Juan Esteban & Ferreyra,Maria Marta & Gazmuri,Ana, 2021. "Entry and Competition in the Market for Short-Cycle Programs," Policy Research Working Paper Series 9716, The World Bank.
    19. E. V. Antonov, 2021. "Labor Markets of Urban Agglomerations in Russia," Regional Research of Russia, Springer, vol. 11(2), pages 187-198, April.
    20. Chen, Xu & Chen, Xueli & Song, Malin, 2021. "Polycentric agglomeration, market integration and green economic efficiency," Structural Change and Economic Dynamics, Elsevier, vol. 59(C), pages 185-197.

    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:spr:advchp:978-4-431-55390-8_6. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.