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A Treatise on the Geographical Scale of Agglomeration Externalities and the MAUP

Author

Listed:
  • Martijn J. Burger
  • Frank G. van Oort
  • Bert van der Knaap

Abstract

In this article, we test to what extent the Modifiable Areal Unit Problem (MAUP) moderates the effect of agglomeration externalities on areal sectoral employment growth by varying the initial geographical scale of analysis. Using spatial cross-regressive modelling, we find different effects of agglomeration forces across geographical scales. As the MAUP is a theoretical as well as a methodological problem, research should not only work with proper statistical specifications, but also relate this more explicitly to hypotheses concerning the geographical scale at which agglomeration externalities operate. .

Suggested Citation

  • Martijn J. Burger & Frank G. van Oort & Bert van der Knaap, 2010. "A Treatise on the Geographical Scale of Agglomeration Externalities and the MAUP," SCIENZE REGIONALI, FrancoAngeli Editore, vol. 9(1), pages 19-39.
  • Handle: RePEc:fan:scresc:v:html10.3280/scre2010-001002
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    Citations

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    Cited by:

    1. Evert Meijers & Martijn Burger & Evert J. Meijers & Martijn J. Burger & Marloes M. Hoogerbrugge, 2016. "Borrowing size in networks of cities: City size, network connectivity and metropolitan functions in Europe," Papers in Regional Science, Wiley Blackwell, vol. 95(1), pages 181-198, March.
    2. Neal, Zachary P. & Derudder, Ben & van Meeteren, Michiel, 2022. "When is a matrix a geographical network?," OSF Preprints 6jhzm, Center for Open Science.
    3. Gábor Békés & Péter Harasztosi, 2018. "Grid and shake: spatial aggregation and the robustness of regionally estimated elasticities," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 60(1), pages 143-170, January.
    4. Matthias Duschl & Tobias Scholl & Thomas Brenner & Dennis Luxen & Falk Raschke, 2015. "Industry-Specific Firm Growth and Agglomeration," Regional Studies, Taylor & Francis Journals, vol. 49(11), pages 1822-1839, November.
    5. Hans R. A. Koster, 2013. "Rocketing Rents The magnitude and attenuation of agglomeration economies in the commercial property market," SERC Discussion Papers 0125, Centre for Economic Performance, LSE.
    6. Duschl Matthias & Brenner Thomas & Schimke Antje & Luxen Dennis, 2014. "Firm Growth and the Spatial Impact of Geolocated External Factors," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 234(2-3), pages 234-256, April.
    7. Marco Capasso & Elena Cefis & Koen Frenken, 2016. "Spatial Differentiation in Industrial Dynamics. The Case of the Netherlands (1994–2005)," Tijdschrift voor Economische en Sociale Geografie, Royal Dutch Geographical Society KNAG, vol. 107(3), pages 316-330, July.
    8. Francesco Perugini, 2023. "Space–time analysis of entrepreneurial ecosystems," The Journal of Technology Transfer, Springer, vol. 48(1), pages 240-291, February.
    9. Ben Derudder, 2021. "Network Analysis of ‘Urban Systems’: Potential, Challenges, and Pitfalls," Tijdschrift voor Economische en Sociale Geografie, Royal Dutch Geographical Society KNAG, vol. 112(4), pages 404-420, September.
    10. Martijn J. Burger & Frank G. Oort & Otto Raspe, 2011. "Agglomeration and New Establishment Survival: A Mixed Hierarchical and Cross-Classified Model," Advances in Spatial Science, in: Karima Kourtit & Peter Nijkamp & Roger R. Stough (ed.), Drivers of Innovation, Entrepreneurship and Regional Dynamics, pages 45-63, Springer.
    11. Li Fang, 2020. "Agglomeration and innovation: Selection or true effect?," Environment and Planning A, , vol. 52(2), pages 423-448, March.
    12. Bernadette Power & Justin Doran & Geraldine Ryan, 2019. "The effect of agglomeration economies on firm deaths: A comparison of firm and regional based approaches," Urban Studies, Urban Studies Journal Limited, vol. 56(16), pages 3358-3374, December.

    More about this item

    Keywords

    Agglomerazione; crescita dell?occupazione; econometria spaziale; MAUP. Classificazione;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • O18 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)

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