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Delineating Metropolitan Areas Using Land Prices

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  • Eckhardt Bode

Abstract

This paper proposes an approach to delineating metropolitan areas that is more general than the standard approaches in three respects: First, it uses the fraction of land prices attributable to economies of urban agglomeration instead of using commuting intensities as an indicator of economic integration between metropolitan centers and their hinterlands. Second, it identifies metropolitan centers endogenously instead of determining them exogenously. And third, it takes metropolitan subcenters explicitly into account. An empirical illustration is used to show that the approach tends to delineate fewer but larger metropolitan areas in densely populated regions, and smaller metropolitan areas in sparsely populated regions. Copyright Blackwell Publishing, Inc. 2008

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  • Eckhardt Bode, 2008. "Delineating Metropolitan Areas Using Land Prices," Journal of Regional Science, Wiley Blackwell, vol. 48(1), pages 131-163.
  • Handle: RePEc:bla:jregsc:v:48:y:2008:i:1:p:131-163
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    Cited by:

    1. Karsten Rusche, 2010. "Quality of life in the regions: an exploratory spatial data analysis for West German labor markets," Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 30(1), pages 1-22, February.
    2. Boris Portnov & Ben Reiser & Moshe Schwartz, 2012. "Does Gibrat’s law for cities hold when location counts?," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 48(1), pages 151-178, February.
    3. Boris A. Portnov, 2011. "The Change of Support Problem (COSP) and its Implications for Urban Analysis: Some Evidence from a Study of the European Urban System," ERSA conference papers ersa10p106, European Regional Science Association.
    4. Karsten Rusche & Uwe Kies & Andreas Schulte, 2011. "Measuring spatial co-agglomeration patterns by extending ESDA techniques," Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 31(1), pages 11-25, June.
    5. Moises Lenyn Obaco Alvarez & Vicente Royuela & Xavier Vítores, 2016. "Computing functional urban areas using a hierarchical travel time approach," ERSA conference papers ersa16p238, European Regional Science Association.
    6. Kropp, Per & Schwengler, Barbara, 2017. "Stability of functional labour market regions," IAB Discussion Paper 201721, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    7. Boris A. Portnov & Moshe Schwartz, 2009. "Urban Clusters As Growth Foci," Journal of Regional Science, Wiley Blackwell, vol. 49(2), pages 287-310.
    8. Qin, Yu & Zhu, Hongjia & Zhu, Rong, 2016. "Changes in the distribution of land prices in urban China during 2007–2012," Regional Science and Urban Economics, Elsevier, vol. 57(C), pages 77-90.

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