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Regional and Categorical Patterns in Consumer Behavior: Revealing Trends

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  • Trivedi, Minakshi

Abstract

We offer a method of analysis that allows for an “unbundling” of the data to a disaggregate household level, and then “rebundling” it in a manner designed to identify patterns and relationships which are otherwise masked. Applying the method in the context of ‘healthy’ products and using census block group level data, we study consumption over several categories in two locations. The analyses show that studies involving geographically dispersed data must test for, and take into account when required, conceptually sound spatial effects in order to accurately assess impact. We also show that while both location and the product category have a significant impact on the proportion of healthy products purchased, the degree to which consumers choose healthier alternatives is a function of the category as well as the location. Finally, we provide preliminary evidence from survey data that supports the variations we find, and further explores attitudinal differences as well. There are rich implications for retailers in that new products introduced to benefit from popular trends (such as ‘healthy’ alternatives) may not succeed for all categories or locations. Retailers would benefit from understanding the spatial, demographic and attitudinal effects that play into consumption behavior, and such effects can be better understood when studying choice at the category and region level. Finally, public policies aimed at promoting healthier purchasing habits may have greater impact if special attention is given to specific categories and regions.

Suggested Citation

  • Trivedi, Minakshi, 2011. "Regional and Categorical Patterns in Consumer Behavior: Revealing Trends," Journal of Retailing, Elsevier, vol. 87(1), pages 18-30.
  • Handle: RePEc:eee:jouret:v:87:y:2011:i:1:p:18-30
    DOI: 10.1016/j.jretai.2010.11.002
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    References listed on IDEAS

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    1. Dinesh Kumar Gauri & Janos Gabor Pauler & Minakshi Trivedi, 2009. "Benchmarking Performance in Retail Chains: An Integrated Approach," Marketing Science, INFORMS, vol. 28(3), pages 502-515, 05-06.
    2. Eric Bradlow & Bart Bronnenberg & Gary Russell & Neeraj Arora & David Bell & Sri Duvvuri & Frankel Hofstede & Catarina Sismeiro & Raphael Thomadsen & Sha Yang, 2005. "Spatial Models in Marketing," Marketing Letters, Springer, vol. 16(3), pages 267-278, December.
    3. Marcus Alexis & Leonard S. Simon, 1967. "The Food Marketing Commission and Food Prices by Income Groups," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 49(2), pages 436-446.
    4. Bernard Fingleton & Enrique López‐Bazo, 2006. "Empirical growth models with spatial effects," Papers in Regional Science, Wiley Blackwell, vol. 85(2), pages 177-198, June.
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    Cited by:

    1. Elizabeth Howlett & Cassandra Davis & Scot Burton, 2016. "From Food Desert to Food Oasis: The Potential Influence of Food Retailers on Childhood Obesity Rates," Journal of Business Ethics, Springer, vol. 139(2), pages 215-224, December.
    2. David Bossek & Vanessa Bach & Matthias Finkbeiner, 2023. "Lifestyle-LCA: Challenges and Perspectives," Sustainability, MDPI, vol. 15(14), pages 1-16, July.
    3. Timiryanova, Venera, 2022. "Высокочастотные Данные, Характеризующие Розничную Торговлю: Интересы Государства, Предприятий И Научных Организаций [High-frequency retail data: the interests of the state, enterprises and scientif," MPRA Paper 115681, University Library of Munich, Germany.
    4. Rahul Govind & Rabikar Chatterjee & Vikas Mittal, 2018. "Segmentation of Spatially Dependent Geographical Units: Model and Application," Management Science, INFORMS, vol. 64(4), pages 1941-1956, April.
    5. Newman, Christopher L. & Howlett, Elizabeth & Burton, Scot, 2014. "Implications of fast food restaurant concentration for preschool-aged childhood obesity," Journal of Business Research, Elsevier, vol. 67(8), pages 1573-1580.
    6. Miguel Angel de la Llave Montiel & Fernando López, 2020. "Spatial models for online retail churn: Evidence from an online grocery delivery service in Madrid," Papers in Regional Science, Wiley Blackwell, vol. 99(6), pages 1643-1665, December.
    7. Newman, Christopher L. & Howlett, Elizabeth & Burton, Scot, 2014. "Shopper Response to Front-of-Package Nutrition Labeling Programs: Potential Consumer and Retail Store Benefits," Journal of Retailing, Elsevier, vol. 90(1), pages 13-26.
    8. Yuya Ieiri & Kaishu Yamaki & Reiko Hishiyama, 2024. "Community-based management for low-digitalized communities using cross-cutting purchasing behavior," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-12, December.

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