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Regional Concentration and Confidence Regions

Author

Listed:
  • Andranik Stepanyan
  • Ludwig von Auer
  • Mark Trede

Abstract

Industries necessarily differ with respect to their type of geographical concentration. When some industries are overrepresented in urban areas (urban concentration), then some other industries must be overrepresented in rural areas (rural concentration). Unfortunately, the existing measures of concentration cannot distinguish between urban and rural concentration. They simply ignore the problem and rank industries with respect to their degree of concentration, even though these industries may exhibit completely different types of concentration. In the present paper we develop a new approach that avoids such misleading comparisons. Our approach distinguishes not only between urban and rural concentration but between seven different geographical patterns. The statistical identification of each industry's geographical pattern is based on two Goodman-Kruskal rank correlation coefficients and their bivariate confidence region. Using German employment data on 613 different industries, the power of our approach is demonstrated.

Suggested Citation

  • Andranik Stepanyan & Ludwig von Auer & Mark Trede, 2015. "Regional Concentration and Confidence Regions," ERSA conference papers ersa15p564, European Regional Science Association.
    • Handle: RePEc:wiw:wiwrsa:ersa15p564
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    References listed on IDEAS

    as
    1. Brulhart, Marius & Traeger, Rolf, 2005. "An account of geographic concentration patterns in Europe," Regional Science and Urban Economics, Elsevier, vol. 35(6), pages 597-624, November.
    2. Pierre-Philippe Combes & Thierry Mayer & Jacques-François Thisse, 2008. "Economic Geography: The Integration of Regions and Nations," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-00311000, HAL.
    3. Frank Bickenbach & Eckhardt Bode, 2008. "Disproportionality Measures of Concentration, Specialization, and Localization," International Regional Science Review, , vol. 31(4), pages 359-388, October.
    4. Eric Marcon & Florence Puech, 2012. "A typology of distance-based measures of spatial concentration," Working Papers halshs-00679993, HAL.
    5. Ellison, Glenn & Glaeser, Edward L, 1997. "Geographic Concentration in U.S. Manufacturing Industries: A Dartboard Approach," Journal of Political Economy, University of Chicago Press, vol. 105(5), pages 889-927, October.
    6. Eric Marcon & Florence Puech, 2003. "Evaluating the Geographic Concentration of Industries Using Distance-Based Methods," Post-Print halshs-00372646, HAL.
    7. Miren Lafourcade & Jacques-François Thisse, 2008. "New economic geography: A guide to transport analysis," Working Papers halshs-00586878, HAL.
    8. 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.
    9. Eric Marcon & Florence Puech, 2003. "Evaluating the geographic concentration of industries using distance-based methods," Journal of Economic Geography, Oxford University Press, vol. 3(4), pages 409-428, October.
    10. Eric Marcon & Florence Puech, 2003. "Evaluating the Geographic Concentration of Industries Using Distance-Based Methods," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00372646, HAL.
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    More about this item

    Keywords

    Geographic concentration; archetypes; Goodman-Kruskal coefficients;
    All these keywords.

    JEL classification:

    • R10 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - General
    • 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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