IDEAS home Printed from https://ideas.repec.org/p/egu/wpaper/0906.html

Spatial Localization in Manufacturing: A Cross-Country Analysis

Author

Listed:
  • Stefania Vitali

  • Mauro Napoletano

  • Giorgio Fagiolo

Abstract

This paper employs a homogenous firms' database to investigate industry localiza- tion in European countries. More specifically, we compare, across industries and countries, the predictions of two of the most popular localization indices, i.e., the Ellison and Glaeser index (Ellison and Glaeser, 1997) and the Duranton and Over- man index (Duranton and Overman, 2005). We find that, independently from the index used, localization is a pervasive phenomenon in all countries studied, but the degree of localization is very uneven across industries in each country. Furthermore, we find that the two indices significantly diverge in predicting the intensity of the forces generating localization within each industry. Finally, we perform a cross- sectoral analysis of localized industries. We show that, in all countries, localized sectors are mainly "traditional" sectors (like jewelery, wine, and textiles) and sec- tors where scale economies are important. However, once one controls for countries' industrial structures science-based sectors turn out to be the most localized ones.

Suggested Citation

  • Stefania Vitali & Mauro Napoletano & Giorgio Fagiolo, 2009. "Spatial Localization in Manufacturing: A Cross-Country Analysis," Papers in Evolutionary Economic Geography (PEEG) 0906, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Jun 2009.
    • Handle: RePEc:egu:wpaper:0906
    as

    Download full text from publisher

    File URL: http://econ.geo.uu.nl/peeg/peeg0906.pdf
    File Function: Version June 2009
    Download Restriction: no
    ---><---

    Other versions of this item:

    Citations

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


    Cited by:

    1. Tobias Scholl & Thomas Brenner, 2013. "Detecting Spatial Clustering Using a Firm-Level Index," Working Papers on Innovation and Space 2012-02, Philipps University Marburg, Department of Geography.
    2. Tobias Scholl & Thomas Brenner, 2011. "Testing for Clustering of Industries - Evidence from micro geographic data," Working Papers on Innovation and Space 2011-02, Philipps University Marburg, Department of Geography.
    3. Gibbons, Steve & Overman, Henry G. & Patacchini, Eleonora, 2015. "Spatial Methods," Handbook of Regional and Urban Economics, in: Gilles Duranton & J. V. Henderson & William C. Strange (ed.), Handbook of Regional and Urban Economics, edition 1, volume 5, chapter 0, pages 115-168, Elsevier.
    4. José M. Albert Ortiz & Francisco M. Gasca Sánchez & Miguel A. Flores Segovia, 2018. "Patrones de localización espacial de las manufacturas mexicanas: análisis con la técnica de patrones de puntos espaciales\Spatial location patterns of Mexican manufacturing: Analysis using the tech," Estudios Económicos, El Colegio de México, Centro de Estudios Económicos, vol. 33(2), pages 253-282.
    5. Edilberto Tiago Almeida & Raul Mota Silveira Neto & Jaime Macedo Brito Bastos & Rubens Lopes Pereira Silva, 2021. "Location patterns of service activities in large metropolitan areas: the Case of São Paulo," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 67(2), pages 451-481, October.
    6. Thi Xuan Thu Nguyen & Javier Revilla Diez, 2017. "Multinational enterprises and industrial spatial concentration patterns in the Red River Delta and Southeast Vietnam," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 59(1), pages 101-138, July.
    7. Tobias Scholl & Thomas Brenner, 2013. "Optimizing Distance-Based Methods for Big Data Analysis," Working Papers on Innovation and Space 2013-09, Philipps University Marburg, Department of Geography.
    8. Steven Brakman & Harry Garretsen & Zhao Zhao, 2017. "Spatial concentration of manufacturing firms in China," Papers in Regional Science, Wiley Blackwell, vol. 96, pages 179-205, March.
    9. Wolfgang Dauth & Michaela Fuchs & Anne Otto, 2018. "Long‐run processes of geographical concentration and dispersion: Evidence from Germany," Papers in Regional Science, Wiley Blackwell, vol. 97(3), pages 569-593, August.
    10. Kofanov, D. & Mikhailova, T., 2015. "Geographical Concentration of Soviet Industries: A Comparative Analysis," Journal of the New Economic Association, New Economic Association, vol. 28(4), pages 112-141.
    11. Davidson Natalia & Kislyak Nadezhda & Vorobyev Pavel, 2010. "Spatial Ñoncentration and Firm Performance in Russia," EERC Working Paper Series 10/05e, EERC Research Network, Russia and CIS.
    12. Tobias Scholl & Thomas Brenner, 2015. "Optimizing distance-based methods for large data sets," Journal of Geographical Systems, Springer, vol. 17(4), pages 333-351, October.
    13. Gu Jiafeng, 2014. "Spatial Dynamics, Vocational Education and Chinese Economic Growth," Journal of Systems Science and Information, De Gruyter, vol. 2(5), pages 385-400, October.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)
    • R3 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location

    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:egu:wpaper:0906. 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: the person in charge The email address of this maintainer does not seem to be valid anymore. Please ask the person in charge to update the entry or send us the correct address (email available below). General contact details of provider: https://edirc.repec.org/data/deguunl.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.