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Assessing Effects Of Prices And Advertising On Purchases Of Finfish And Shellfish In A Local Market In Texas

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  • Capps, Oral, Jr.
  • Lambregts, Johannes Adrianus

Abstract

Estimates of demand parameters for disaggregate finfish and shellfish products were obtained using scanner data from a retail food firm in Houston. Demand for the various products was elastic (except for oysters); in general, cross-price effects play a statistically significant role in pounds sold per 1000 customers. Own-advertisement effects are important, but cross-advertisement effects are generally marginal. Seasonality is a key factor in purchases of most finfish and shellfish products.

Suggested Citation

  • Capps, Oral, Jr. & Lambregts, Johannes Adrianus, 1991. "Assessing Effects Of Prices And Advertising On Purchases Of Finfish And Shellfish In A Local Market In Texas," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 23(1), pages 1-14, July.
    • Handle: RePEc:ags:sojoae:30299
    DOI: 10.22004/ag.econ.30299
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    References listed on IDEAS

    as
    1. Hsiang-tai Cheng & Oral Capps, 1988. "Demand Analysis of Fresh and Frozen Finfish and Shellfish in the United States," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 70(3), pages 533-542.
    2. Oral Capps, 1989. "Utilizing Scanner Data to Estimate Retail Demand Functions for Meat Products," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 71(3), pages 750-760.
    3. T. F. Funk & Karl D. Meilke & H. Bruce Huff, 1977. "Effects of Retail Pricing and Advertising on Fresh Beef Sales," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 59(3), pages 533-537.
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    Cited by:

    1. Jaffry, Shabbar & Pickering, Helen & Ghulam, Yaseen & Whitmarsh, David & Wattage, Prem, 2004. "Consumer choices for quality and sustainability labelled seafood products in the UK," Food Policy, Elsevier, vol. 29(3), pages 215-228, June.
    2. repec:dau:papers:123456789/10983 is not listed on IDEAS
    3. Bergtold, Jason S. & Akobundu, Eberechukwu & Peterson, Everett B., 2004. "The FAST Method: Estimating Unconditional Demand Elasticities for Processed Foods in the Presence of Fixed Effects," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 29(2), pages 1-20, August.
    4. Kehar Singh & Madan M. Dey & Prasanna Surathkal, 2014. "Seasonal and Spatial Variations in Demand for and Elasticities of Fish Products in the United States: An Analysis Based on Market-Level Scanner Data," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 62(3), pages 343-363, September.
    5. Green, Geoffrey M. & Park, John L., 1998. "Retail Demand For Whole Vs. Low-Fat Milk: New Perspectives On Loss Leader Pricing," 1998 Annual meeting, August 2-5, Salt Lake City, UT 20827, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    6. Green, Geoffrey M. & Park, John L., 1998. "New Insights Into Supermarket Promotions Via Scanner Data Analysis: The Case Of Milk," Journal of Food Distribution Research, Food Distribution Research Society, vol. 29(3), pages 1-10, November.
    7. Nayga, Rodolfo M., Jr., 1992. "Scanner Data in Supermarkets: Untapped Data Source for Agricultural Economists," Review of Marketing and Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 60(02), pages 1-8, August.
    8. Park, Changwon & Senauer, Benjamin, 1996. "Estimation Of Household Brand-Size Choice Models For Spaghetti Products With Scanner Data," Working Papers 14336, University of Minnesota, The Food Industry Center.

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    Keywords

    Demand and Price Analysis;

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