IDEAS home Printed from https://ideas.repec.org/p/cte/wbrepe/wb065817.html
   My bibliography  Save this paper

Do business density and variety determine retail performance?

Author

Listed:
  • Esteban-Bravo, Mercedes
  • Múgica, Jose M.
  • Vidal-Sanz, Jose M.

Abstract

Outlet location plays a crucial role in retail strategy. In this paper we study the relationship between spatial density (concentration) of retailers in the trade area and their economic performance. This analysis will help managers figure out the economic potential of starting a retail business in a given area, reducing business start-up risks. We find that retail businesses located in high and low retail density zones enjoy higher performance levels, consistent with competitive advantage arising from agglomeration economies and local market power respectively. We also find that retail businesses located in intermediate density areas use a differentiation strategy based on business variety (diversification across stores). Outlets located in areas with the highest variety enjoy performance levels similar to those achieved in the agglomeration and low density areas. The results suggest that retail companies should jointly consider variety and density to determine location.

Suggested Citation

  • Esteban-Bravo, Mercedes & Múgica, Jose M. & Vidal-Sanz, Jose M., 2006. "Do business density and variety determine retail performance?," DEE - Working Papers. Business Economics. WB wb065817, Universidad Carlos III de Madrid. Departamento de Economía de la Empresa.
  • Handle: RePEc:cte:wbrepe:wb065817
    as

    Download full text from publisher

    File URL: https://e-archivo.uc3m.es/rest/api/core/bitstreams/ae17c66a-c855-453a-876f-9aca4191ca3f/content
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. B. Curtis Eaton & Richard G. Lipsey, 1975. "The Principle of Minimum Differentiation Reconsidered: Some New Developments in the Theory of Spatial Competition," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 42(1), pages 27-49.
    2. Tal Garber & Jacob Goldenberg & Barak Libai & Eitan Muller, 2004. "From Density to Destiny: Using Spatial Dimension of Sales Data for Early Prediction of New Product Success," Marketing Science, INFORMS, vol. 23(3), pages 419-428, August.
    3. Frenkel Ter Hofstede & Michel Wedel & Jan-Benedict E.M. Steenkamp, 2002. "Identifying Spatial Segments in International Markets," Marketing Science, INFORMS, vol. 21(2), pages 160-177, July.
    4. Kumar, V. & Karande, Kiran, 2000. "The Effect of Retail Store Environment on Retailer Performance," Journal of Business Research, Elsevier, vol. 49(2), pages 167-181, August.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Ion Purcaru, 2009. "Optimal Diversification in Allocation Problems," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 11(26), pages 494-502, June.
    2. Wieland, Thomas, 2014. "Räumliches Einkaufsverhalten und Standortpolitik im Einzelhandel unter Berücksichtigung von Agglomerationseffekten: Theoretische Erklärungsansätze, modellanalytische Zugänge und eine empirisch-ökonome," MPRA Paper 77163, University Library of Munich, Germany.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Sam Hui & Eric Bradlow, 2012. "Bayesian multi-resolution spatial analysis with applications to marketing," Quantitative Marketing and Economics (QME), Springer, vol. 10(4), pages 419-452, December.
    2. Bart J. Bronnenberg & Carl F. Mela, 2004. "Market Roll-Out and Retailer Adoption for New Brands," Marketing Science, INFORMS, vol. 23(4), pages 500-518, September.
    3. Wolfgang Jank & P. K. Kannan, 2005. "Understanding Geographical Markets of Online Firms Using Spatial Models of Customer Choice," Marketing Science, INFORMS, vol. 24(4), pages 623-634, December.
    4. David Bell & Sangyoung Song, 2007. "Neighborhood effects and trial on the internet: Evidence from online grocery retailing," Quantitative Marketing and Economics (QME), Springer, vol. 5(4), pages 361-400, December.
    5. Shaheer, Noman Ahmed & Li, Sali, 2020. "The CAGE around cyberspace? How digital innovations internationalize in a virtual world," Journal of Business Venturing, Elsevier, vol. 35(1).
    6. Gauri, Dinesh Kumar & Trivedi, Minakshi & Grewal, Dhruv, 2008. "Understanding the Determinants of Retail Strategy: An Empirical Analysis," Journal of Retailing, Elsevier, vol. 84(3), pages 256-267.
    7. James Agarwal & Wayne DeSarbo & Naresh K. Malhotra & Vithala Rao, 2015. "An Interdisciplinary Review of Research in Conjoint Analysis: Recent Developments and Directions for Future Research," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 2(1), pages 19-40, March.
    8. Kocenda, Evzen & Hanousek, Jan & Engelmann, Dirk, 2008. "Currencies, competition, and clans," Journal of Policy Modeling, Elsevier, vol. 30(6), pages 1115-1132.
    9. Frank M. Bass, 2004. "Comments on "A New Product Growth for Model Consumer Durables The Bass Model"," Management Science, INFORMS, vol. 50(12_supple), pages 1833-1840, December.
    10. Borenstein, Severin & Netz, Janet, 1999. "Why do all the flights leave at 8 am?: Competition and departure-time differentiation in airline markets," International Journal of Industrial Organization, Elsevier, vol. 17(5), pages 611-640, July.
    11. H Kohsaka, 1989. "An Analysis of Competitive Oscillations between Japanese Twin Cities," Environment and Planning A, , vol. 21(6), pages 803-816, June.
    12. Mohajan, Devajit & Mohajan, Haradhan, 2023. "The Responses of an Organization for the Increase in Wage Rates: Profit Maximization Cases," MPRA Paper 118238, University Library of Munich, Germany, revised 10 Jun 2023.
    13. Peres, Renana & Muller, Eitan & Mahajan, Vijay, 2010. "Innovation diffusion and new product growth models: A critical review and research directions," International Journal of Research in Marketing, Elsevier, vol. 27(2), pages 91-106.
    14. Dimitrios Xefteris, 2018. "Candidate valence in a spatial model with entry," Public Choice, Springer, vol. 176(3), pages 341-359, September.
    15. Shino, Junnosuke & Kawasaki, Ryo, 2012. "Farsighted stable sets in Hotelling’s location games," Mathematical Social Sciences, Elsevier, vol. 63(1), pages 23-30.
    16. Peter Chinloy & James Musumeci, 1994. "Shopping Center Financing: Pricing Loan Default Risk," Journal of Real Estate Research, American Real Estate Society, vol. 9(1), pages 49-64.
    17. Salvanes, Kjell G. & Steen, Frode & Sorgard, Lars, 2005. "Hotelling in the air? Flight departures in Norway," Regional Science and Urban Economics, Elsevier, vol. 35(2), pages 193-213, March.
    18. Dodge Cahan & Hongjia H. Chen & Louis Christie & Arkadii Slinko, 2021. "Spatial competition on 2-dimensional markets and networks when consumers don’t always go to the closest firm," International Journal of Game Theory, Springer;Game Theory Society, vol. 50(4), pages 945-970, December.
    19. Amit Pazgal & David Soberman & Raphael Thomadsen, 2016. "Maximal or Minimal Differentiation in a Hotelling Market? A Fresh Perspective," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 3(1), pages 42-47, March.
    20. Eun Yeong Seong & Youngjae Lim & Chang Gyu Choi, 2022. "Why are convenience stores clustered? The reasons behind the clustering of similar shops and the effect of increased competition," Environment and Planning B, , vol. 49(3), pages 834-846, March.

    More about this item

    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:cte:wbrepe:wb065817. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Ana Poveda (email available below). General contact details of provider: http://www.business.uc3m.es/es/index .

    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.