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The Location of Superstores in Italy: A Metric Approach

Author

Listed:
  • Angelo Leogrande

    (Dyrecta Lab s.r.l.)

  • Alessandro Massaro

    (Dyrecta Lab s.r.l.)

  • Maurizio Galiano

    (Dyrecta Lab s.r.l.)

Abstract

The role of socio-economic determinants for superstore location is analyzed. Data are collected by Italian Minister of Economic Development and ISTAT. Results show a positive effect of superstore location in respect to GDP, Employment and population. Panel data analysis shows positive relations among superstore location and Instruction and Formation, Economic Wellness, Social Relationships.

Suggested Citation

  • Angelo Leogrande & Alessandro Massaro & Maurizio Galiano, 2020. "The Location of Superstores in Italy: A Metric Approach," International Journal of Business and Management, International Institute of Social and Economic Sciences, vol. 8(1), pages 35-64, May.
    • Handle: RePEc:sek:jijobm:v:8:y:2020:i:1:p:35-64
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    References listed on IDEAS

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    1. Steve Wood & Neil M. Coe & Neil Wrigley, 2016. "Multi-Scalar Localization and Capability Transference: Exploring Embeddedness in the Asian Retail Expansion of Tesco," Regional Studies, Taylor & Francis Journals, vol. 50(3), pages 475-495, March.
    2. Rohlin, Shawn & Rosenthal, Stuart S. & Ross, Amanda, 2014. "Tax avoidance and business location in a state border model," Journal of Urban Economics, Elsevier, vol. 83(C), pages 34-49.
    3. Grzegorz Zimon, 2019. "Branch Group Purchasing Organizations vs. Sales Profitability of Commercial Companies," Eurasian Studies in Business and Economics, in: Mehmet Huseyin Bilgin & Hakan Danis & Ender Demir & Ugur Can (ed.), Eurasian Economic Perspectives, pages 263-275, Springer.
    4. Somekh, Babak, "undated". "Commuting And Shopping: Determinants Of City Income Structure," Working Papers WP2012/3, University of Haifa, Department of Economics.
    5. Grimaldi, Didier & Fernandez, Vicenc & Carrasco, Carlos, 2019. "Heuristic for the localization of new shops based on business and social criteria," Technological Forecasting and Social Change, Elsevier, vol. 142(C), pages 249-257.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. Oldrich Kucera & Bozena Kaderabkova, 2023. "Consumers´ Decision-Making under Salop´s Model: Key Study on Starbucks Prague and Richmond business model," International Journal of Economic Sciences, European Research Center, vol. 12(1), pages 102-132, May.
    2. Oldrich Kucera & Bozena Kaderabkova, 2023. "Consumers´ Decision-Making under Salop´s Model: Key Study on Starbucks Prague and Richmond business model," International Journal of Economic Sciences, European Research Center, vol. 12(1), pages 85-115, May.
    3. Merlin Thanga Joy Atchuthen & S. Sankara Muthu Kumar, 2023. "How The Energy Sector Is Affecting Economic Growth – Comparing The United Kingdom With India," International Journal of Economic Sciences, European Research Center, vol. 12(1), pages 1-31, May.

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    More about this item

    Keywords

    Cluster Analysis; Panel Data; Branding; Location;
    All these keywords.

    JEL classification:

    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • R30 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - General

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