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Firms’ Evaluation of Location Quality: Evidence from East Germany

Author

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  • Eickelpasch Alexander

    (DIW Berlin, Mohrenstr. 58, 10117 Berlin, Germany)

  • Hirte Georg

    (Technische Universität Dresden, Fakultät Verkehrswissenschaften, Institut für Wirtschaft und Verkehr, Helmholtzstraße 10, 01069 Dresden, Germany)

  • Stephan Andreas

    (Jönköping University, Gjuterigatan 5, Jönköping, Sweden; and Ratio Institute, Stockholm, Sweden)

Abstract

Our study provides evidence for firms’ evaluation of location quality. We use a 2004 survey of 6,000 East German firms that contained questions on the importance and assessment of 15 different location factors ranging from closeness to customers and suppliers, transport infrastructure, and proximity to research institutions and universities, as well as questions about the local financial institutions and region’s “image”. The results show (1) a great deal of heterogeneity in terms of which firm- or regional-level characteristics are important in the evaluation of a specific location factor, (2) that the model’s explanatory power is, overall, low and thus neither location characteristics nor internal factors are fully reflected in the perceptions of location quality, (3) that a firm’s business situation and whether a location factor is considered important have explanatory power for perception. One policy-relevant conclusion that we derive from these findings is that location policy should consider firms’ perception of a specific location in addition to improving the actual attributes of that location.

Suggested Citation

  • Eickelpasch Alexander & Hirte Georg & Stephan Andreas, 2016. "Firms’ Evaluation of Location Quality: Evidence from East Germany," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 236(2), pages 241-273, March.
  • Handle: RePEc:jns:jbstat:v:236:y:2016:i:1:p:218-241
    DOI: 10.1515/jbnst-2015-1014
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    More about this item

    Keywords

    location factors; multi-equation system; perception bias; survey data;
    All these keywords.

    JEL classification:

    • R3 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)
    • L2 - Industrial Organization - - Firm Objectives, Organization, and Behavior

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