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 |
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description | 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. |
doi_str_mv | 10.1007/s11129-008-9038-8 |
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multivariate logit
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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.</description><subject>Business and Management</subject><subject>C35</subject><subject>C62</subject><subject>C72</subject><subject>Car washes</subject><subject>Co1</subject><subject>Co2</subject><subject>Competition</subject><subject>Consumers</subject><subject>Convenience stores</subject><subject>Costs</subject><subject>D21</subject><subject>D43</subject><subject>Demographics</subject><subject>Economic Theory/Quantitative Economics/Mathematical Methods</subject><subject>Economics</subject><subject>Finance</subject><subject>Gasoline prices</subject><subject>Horizontal differentiation</subject><subject>Insurance</subject><subject>L13</subject><subject>Management</subject><subject>Marketing</subject><subject>Multivariate logit</subject><subject>Preferences</subject><subject>Price competition</subject><subject>Product competition</subject><subject>Product design</subject><subject>Product lines</subject><subject>Product quality</subject><subject>Retail gasoline markets</subject><subject>Retail stores</subject><subject>Spatial models</subject><subject>Standard deviation</subject><subject>Statistics for Business</subject><subject>Valuation</subject><subject>Vertical differentiation</subject><issn>1570-7156</issn><issn>1573-711X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2008</creationdate><recordtype>article</recordtype><sourceid>X2L</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNp1UMtOwzAQtBBIlMIHcLO4B_yIk5QbqnhUQgKkHrhZjr0pbpM4tV2k_j0uQXDiMPJqNTM7HoQuKbmmhJQ3gVLKZhkhVTYjvMqqIzShouRZSen78fdM0iyKU3QWwpoQlou8mKC3pXNYty4Ajg7XgIPtbKv8LX71zux0xKo3ePBWA9auGyDaaF2PbY89RGVbvFLBtbYH3Cm_gRjO0Umj2gAXP-8ULR_ul_On7PnlcTG_e850nvOYKdMUGmrOaiAibwQIWhHT1FxATZWBBkRZaN5oZYQx3IA2daFzlrilIYpP0dVoO3i33UGIcu12vk8XJWNECMYLkkh0JGnvQvDQyPSTlHMvKZGH3uTYm0y9yUNvskqaxajxMID-FWzUsO02MW0-JVdFwj6BHYRc2QSeMHyvhGQ8lx-xS15s9ArJpl-B_wv5f4AvMQOLPQ</recordid><startdate>20080901</startdate><enddate>20080901</enddate><creator>Iyer, Ganesh</creator><creator>Seetharaman, P. 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B.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c443t-adf6ceb32be054f5e5180dfb35eb1adefe576c3fcad5dd3decdb6c4254f7d0a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2008</creationdate><topic>Business and Management</topic><topic>C35</topic><topic>C62</topic><topic>C72</topic><topic>Car washes</topic><topic>Co1</topic><topic>Co2</topic><topic>Competition</topic><topic>Consumers</topic><topic>Convenience stores</topic><topic>Costs</topic><topic>D21</topic><topic>D43</topic><topic>Demographics</topic><topic>Economic Theory/Quantitative Economics/Mathematical Methods</topic><topic>Economics</topic><topic>Finance</topic><topic>Gasoline prices</topic><topic>Horizontal differentiation</topic><topic>Insurance</topic><topic>L13</topic><topic>Management</topic><topic>Marketing</topic><topic>Multivariate logit</topic><topic>Preferences</topic><topic>Price competition</topic><topic>Product competition</topic><topic>Product design</topic><topic>Product lines</topic><topic>Product quality</topic><topic>Retail gasoline markets</topic><topic>Retail stores</topic><topic>Spatial models</topic><topic>Standard deviation</topic><topic>Statistics for Business</topic><topic>Valuation</topic><topic>Vertical differentiation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Iyer, Ganesh</creatorcontrib><creatorcontrib>Seetharaman, P. B.</creatorcontrib><collection>RePEc IDEAS</collection><collection>RePEc</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Access via ABI/INFORM (ProQuest)</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ABI/INFORM Global (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central</collection><collection>Business Premium Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Business Premium Collection (Alumni)</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>ProQuest Business Collection (Alumni Edition)</collection><collection>ProQuest Business Collection</collection><collection>DELNET Management Collection</collection><collection>ABI/INFORM Professional Advanced</collection><collection>ABI/INFORM Global</collection><collection>ProQuest One Business</collection><collection>ProQuest One Business (Alumni)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ABI/INFORM Collection China</collection><collection>ProQuest Central Basic</collection><jtitle>Quantitative marketing and economics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Iyer, Ganesh</au><au>Seetharaman, P. B.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Too close to be similar: Product and price competition in retail gasoline markets</atitle><jtitle>Quantitative marketing and economics</jtitle><stitle>Quant Mark Econ</stitle><date>2008-09-01</date><risdate>2008</risdate><volume>6</volume><issue>3</issue><spage>205</spage><epage>234</epage><pages>205-234</pages><issn>1570-7156</issn><eissn>1573-711X</eissn><abstract>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.</abstract><cop>Boston</cop><pub>Springer US</pub><doi>10.1007/s11129-008-9038-8</doi><tpages>30</tpages></addata></record> |
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subjects | Business and Management C35 C62 C72 Car washes Co1 Co2 Competition Consumers Convenience stores Costs D21 D43 Demographics Economic Theory/Quantitative Economics/Mathematical Methods Economics Finance Gasoline prices Horizontal differentiation Insurance L13 Management Marketing Multivariate logit Preferences Price competition Product competition Product design Product lines Product quality Retail gasoline markets Retail stores Spatial models Standard deviation Statistics for Business Valuation Vertical differentiation |
title | Too close to be similar: Product and price competition in retail gasoline markets |
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