Shopping For Meat: Empirical Demand Estimation For Natural Beef Across Store Choices
AbstractConventional supermarkets concentrate on capturing the largest pool of consumers to generate profits from the industry's low margins. Selling to the largest pool of customers means that marketing, promotion, stocking and service decisions are based on the tastes and preferences of an average consumer. Innovators in the grocery industry, recognizing a shift in consumer tastes and preferences, are changing the industry to attract smaller segments of consumers. The theory presented here demonstrates a method to understand the value of product diversification and a model of the gains from providing products that may not have broad appeal to the average customer base. The increase in retail returns through this approach of developing in-store niches lies not in increased single-item purchases of any one consumer, but through the increased number of items purchased (a larger bundle) by an individual on a single shopping trip.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoPaper provided by Western Agricultural Economics Association in its series 2001 Annual Meeting, July 8-11, 2001, Logan, Utah with number 36157.
Date of creation: 2001
Date of revision:
Demand and Price Analysis; Food Consumption/Nutrition/Food Safety;
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Richman, Nessa J., 2000. "The Growing Natural Foods Market: Opportunities And Obstacles For Mass Market Supermarkets," Working Papers 14317, University of Minnesota, The Food Industry Center.
- Evans, Jason R. & D'Souza, Gerard E. & Collins, Alan R. & Brown, Cheryl & Sperow, Mark, 2011.
"Determining Consumer Perceptions of and Willingness to Pay for Appalachian Grass-Fed Beef: An Experimental Economics Approach,"
Agricultural and Resource Economics Review,
Northeastern Agricultural and Resource Economics Association, vol. 40(2), August.
- Evans, Jason R. & Brown, Cheryl & Collins, Alan R. & D'Souza, Gerard E. & Rayburn, Edward B. & Sperow, Mark, 2008. "Determining Consumer Perceptions of and Willingness to Pay or Appalachian Grass-fed Beef: An Experimental Economics Approach," 2008 Annual Meeting, July 27-29, 2008, Orlando, Florida 6209, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
- Lusk, Jayson L. & Cevallos, Edgar, 2004. "Factors Influencing Demand for a Producer-Owned Beef Retail Outlet," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 36(01), April.
- Widenhorn, Andreas & Salhofer, Klaus, 2012. "Price sensitivity within and across retail formats," Congress Papers 124108, Italian Association of Agricultural and Applied Economics (AIEAA).
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (AgEcon Search).
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 references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link 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 profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.