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Nahversorgung im Kontext raumökonomischer Entwicklungen im Lebensmitteleinzelhandel: Konzeption und Durchführung einer GIS-gestützten Analyse der Strukturen des Lebensmitteleinzelhandels und der Nahversorgung in Freiburg im Breisgau
[Local retail supply structures in the context of spatial economic developments in food retailing: A GIS-supported analysis of the food retailing structure in Freiburg im Breisgau]

Author

Listed:
  • Wieland, Thomas

Abstract

The study deals with the spatial structure of food retailing and the local retail supply in Freiburg im Breisgau (Germany, pop. of ~226.000). The working paper provides a brief review about the national situation of food retailing in Germany and the related concepts of location theory with respect to (food) retailing. In the main part of the study, methodological aspects of small-scale analyzing spatial structures of food retailing is discussed and, after that, applied to the food retailing in Freiburg. The analyzes include a descriptive illustration of the spatial structure of grocery stores and an identification of grocery clusters as well as a small-scale accessibility analysis using GIS networks. The last part consists of a market area analysis for the regarded locations using a modified Huff model. The results show, amongst other things, that the food sector in Freiburg is more qualitatively and less discount-oriented and that small-scale disparities in supply are verifiable but relatively low. Clusters of grocery stores, especially of different store formats (supermarket, discounter) play an important role in the location structure. Some city districts appear as undersupplied, in particular the second largest district in the south west, St. Georgen. A counterfactual market simulation shows that this gap could be filled with a new supermarket that would not affect the competitive locations in an intolerable way.

Suggested Citation

  • Wieland, Thomas, 2015. "Nahversorgung im Kontext raumökonomischer Entwicklungen im Lebensmitteleinzelhandel: Konzeption und Durchführung einer GIS-gestützten Analyse der Strukturen des Lebensmitteleinzelhandels und der Nahversorgung in Freiburg im Breisgau [Local retail ," MPRA Paper 77145, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:77145
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    File URL: https://mpra.ub.uni-muenchen.de/77145/1/5-wieland.pdf
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    References listed on IDEAS

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    1. Wieland, Thomas, 2014. "Räumliches Einkaufsverhalten und Standortpolitik im Einzelhandel unter Berücksichtigung von Agglomerationseffekten: Theoretische Erklärungsansätze, modellanalytische Zugänge und eine empirisch-ökonometrische Marktgebietsanalyse anhand eines Fallbeisp," MPRA Paper 77163, University Library of Munich, Germany.
    2. Asher Wolinsky, 1983. "Retail Trade Concentration Due to Consumers' Imperfect Information," Bell Journal of Economics, The RAND Corporation, vol. 14(1), pages 275-282, Spring.
    3. Nelson, Phillip, 1970. "Information and Consumer Behavior," Journal of Political Economy, University of Chicago Press, vol. 78(2), pages 311-329, March-Apr.
    4. Gijsbrechts, E. & Campo, K. & Nisol, P., 2005. "Beyond Promotion-Based Store Switching : Antecedents and Consequences of Systematic Multiple-Store Shopping," Discussion Paper 2005-76, Tilburg University, Center for Economic Research.
    5. Alexander Kubis & Maria Hartmann, 2007. "Analysis of Location of Large-area Shopping Centres. A Probabilistic Gravity Model for the Halle–Leipzig Area," Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 27(1), pages 43-57, February.
    6. Neumeier, Stefan, 2014. "Modellierung der Erreichbarkeit von Supermärkten und Discountern: Untersuchung zum regionalen Versorgungsgrad mit Dienstleistungen der Grundversorgung," Thünen Working Papers 16, Johann Heinrich von Thünen Institute, Federal Research Institute for Rural Areas, Forestry and Fisheries.
    7. Takahashi, Takaaki, 2013. "Agglomeration in a city with choosy consumers under imperfect information," Journal of Urban Economics, Elsevier, vol. 76(C), pages 28-42.
    8. M. De Beule & D. Van Den Poel & N. Van De Weghe, 2013. "An extended Huff-model for robustly benchmarking and predicting retail network performance," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 13/866, Ghent University, Faculty of Economics and Business Administration.
    9. David L. Huff, 1963. "A Probabilistic Analysis of Shopping Center Trade Areas," Land Economics, University of Wisconsin Press, vol. 39(1), pages 81-90.
    10. Christian Leßmann, 2005. "Regionale Disparitäten in Deutschland und ausgesuchten OECD-Staaten im Vergleich," ifo Dresden berichtet, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 12(03), pages .25-33, June.
    11. Gijsbrechts, Els & Campo, Katia & Nisol, Patricia, 2008. "Beyond promotion-based store switching: Antecedents and patterns of systematic multiple-store shopping," International Journal of Research in Marketing, Elsevier, vol. 25(1), pages 5-21.
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    JEL classification:

    • C02 - Mathematical and Quantitative Methods - - General - - - Mathematical Economics
    • R0 - Urban, Rural, Regional, Real Estate, and Transportation 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)
    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise

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