An empirical examination of clustering and dispersion within Canadian shopping centers |
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| Authors: | Andrew Eckert Zhen He Douglas S West |
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| Institution: | 1. Department of Economics, University of Alberta, Edmonton, Alberta, Canada T6G 2H4;2. Economic Analysis and Forecasting, Bombardier Aerospace, 123 Garratt Boulevard, N16-11, Toronto, Ontario, Canada M3K 1Y5;1. Bordeaux Management School, 680 Cours de la Libération, 33405 Talence Cedex, France;2. Groupe ESC La Rochelle, 102 rue des Coureilles, 17024 La Rochelle Cedex, France;1. School of Economics, Faculty of Economics and Management, National University of Malaysia (UKM), 43600 Bangi, Selangor, Malaysia;2. School of Management, Curtin Business School, Curtin University, Perth, Australia;1. Skema—Univ Lille Nord de France, F-59000 Lille, France;2. Skema Business School, Avenue Willy Brandt, 59 777 Euralille, France;3. Aix Marseille Université, IAE Aix en Pce, CERGAM et Groupe INSEEC 13590 Meyreuil, France;1. Department of Marketing, Sam M. Walton College of Business, University of Arkansas, Business Building 302, Fayetteville, AR 72701, USA;2. Department of Marketing, College of Business, Washington State University, Pullman, WA 99164-4750, USA |
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| Abstract: | In this paper, data on the internal compositions of 90 planned regional shopping centers in the five westernmost provinces in Canada are used to examine the locational pattern of stores in shopping centers, to see whether these locations are consistent with exploiting demand externalities and the physical features of the mall. The empirical relevance of so-called “rules of thumb” for locating stores in shopping centers is also assessed. We find that there is clustering of service stores near mall entrances, and clustering of comparison shopping stores near corridor intersections and on the second floor of two-story malls. Clustering tends to occur in the ladies' wear, jewellery/fashion accessory, and unisex clothing store categories, facilitating comparison shopping. Clustering of stores in the service category facilitates multipurpose shopping. A regression analysis indicates that clustering may depend upon the size, age, and type of mall in question. Overall, results are consistent with consumer transportation/shopping costs and demand externalities driving the internal store location strategy of planned regional shopping centers. |
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| Keywords: | Shopping center Clustering Dispersion Multipurpose shopping Comparison shopping |
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