Too close to be similar: Product and price competition in retail gasoline markets

We examine how product and pricing decisions of retail gasoline stations depend on local market demographics and the degree of competitive intensity in the market. We are able to shed light on the observed empirical phenomenon that proximate gasoline stations price very similarly in some markets, bu...

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Veröffentlicht in:Quantitative marketing and economics 2008-09, Vol.6 (3), p.205-234
Hauptverfasser: Iyer, Ganesh, Seetharaman, P. B.
Format: Artikel
Sprache:eng
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Zusammenfassung:We examine how product and pricing decisions of retail gasoline stations depend on local market demographics and the degree of competitive intensity in the market. We are able to shed light on the observed empirical phenomenon that proximate gasoline stations price very similarly in some markets, but very differently in other markets. Our analysis of product design and price competition between firms integrates two critical dimensions of heterogeneity across consumers: Consumers differ in their locations and in their travel costs, as in models of horizontal differentiation. They also differ in their relative preference or valuations for product quality dimensions, in terms of the offered station services (such as pay-at-pump, number of service bays or other added services), as in models of vertical differentiation. We find that the degree of local competitive intensity and the dispersion in consumer incomes are sufficient to explain variations in the product and pricing choices of competing firms. Closely located retailers who face sufficient income dispersion across consumers in a local market may differentiate on product design and pricing strategies. In contrast, retailers that are farther apart from each other may adopt similar product design and pricing strategies if the market is relatively homogeneous on income. Using empirical survey data on prices and station characteristics gathered across 724 gasoline stations in the St. Louis metropolitan area, and employing a multivariate logit model that predicts the joint probability of stations within a local market differentiating on product design and pricing strategies as a function of market demographics and local competitive intensity, we find strong support for the central implications of the theory.
ISSN:1570-7156
1573-711X
DOI:10.1007/s11129-008-9038-8