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The Bright Side of MAUP: an Enquiry on the Determinants of Industrial Agglomeration in the United States

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  • Carlo Menon

    (Department of Geography and Environment, London School of Economics)

Abstract

Using county employment data for US and two appositely developed zoning algorithms, I compare the industrial concentration of manufacturing sectors calculated following the standard metropolitan and micropolitan statistical areas definition with two other counterfactuals, obtained by �gerrymandering� the original sample of counties. The methodology allows i) to obtain an unbiased estimate of industrial agglomeration which significantly improves on existing indices, and ii) to provide a ranking of industries according to their responsiveness to labour market determinants of agglomeration. Results show that labour market determinants explain one quarter of the variation of spatial agglomeration across industries.

Suggested Citation

  • Carlo Menon, 2008. "The Bright Side of MAUP: an Enquiry on the Determinants of Industrial Agglomeration in the United States," Working Papers 2008_29, Department of Economics, University of Venice "Ca' Foscari".
    • Handle: RePEc:ven:wpaper:2008_29
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    References listed on IDEAS

    as
    1. Maurel, Francoise & Sedillot, Beatrice, 1999. "A measure of the geographic concentration in french manufacturing industries," Regional Science and Urban Economics, Elsevier, vol. 29(5), pages 575-604, September.
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    Cited by:

    1. Oliver Falck & Christina Guenther & Stephan Heblich & William R. Kerr, 2013. "From Russia with love: the impact of relocated firms on incumbent survival," Journal of Economic Geography, Oxford University Press, vol. 13(3), pages 419-449, May.
    2. Briant, A. & Combes, P.-P. & Lafourcade, M., 2010. "Dots to boxes: Do the size and shape of spatial units jeopardize economic geography estimations?," Journal of Urban Economics, Elsevier, vol. 67(3), pages 287-302, May.
    3. Glenn Ellison & Edward L. Glaeser & William R. Kerr, 2010. "What Causes Industry Agglomeration? Evidence from Coagglomeration Patterns," American Economic Review, American Economic Association, vol. 100(3), pages 1195-1213, June.
    4. Portnov, Boris A. & Felsenstein, Daniel, 2010. "On the suitability of income inequality measures for regional analysis: Some evidence from simulation analysis and bootstrapping tests," Socio-Economic Planning Sciences, Elsevier, vol. 44(4), pages 212-219, December.

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    More about this item

    Keywords

    Industrial Agglomerations; MAUP; Industrial Concentration;
    All these keywords.

    JEL classification:

    • O18 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure
    • 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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