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Willingness-to-Pay for Beef Quality Attributes: A Latent Segmentation Analysis of Korean Grocery Shoppers

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  • Chung, Chanjin
  • Briggeman, Brian C.
  • Han, Sungill

Abstract

A latent segmentation modeling is used in this study to identify the heterogeneity of willingness-to-pay estimates for quality attributes and country-of-origin in the Korean beef market. Three distinctive groups of grocery shoppers are identified based on their level of concern (very, moderately, and not too concerned) about the use of antibiotics and genetically modified organism feed ingredients in beef production. Results indicate that the very concerned group values such attributes as antibiotics-free, genetically modified organism-free, and domestic production the most among the three groups. Results also suggest that the most important factor in determining grocery shoppers' willingness-to-pay is country-of-origin for all three groups.

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  • Chung, Chanjin & Briggeman, Brian C. & Han, Sungill, 2012. "Willingness-to-Pay for Beef Quality Attributes: A Latent Segmentation Analysis of Korean Grocery Shoppers," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 44(4), pages 447-459, November.
    • Handle: RePEc:cup:jagaec:v:44:y:2012:i:04:p:447-459_02
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    1. Stephen Hynes & Nick Hanley & Riccardo Scarpa, 2008. "Effects on Welfare Measures of Alternative Means of Accounting for Preference Heterogeneity in Recreational Demand Models," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 90(4), pages 1011-1027.
    2. Arianto A. Patunru & John B. Braden & Sudip Chattopadhyay, 2007. "Who Cares about Environmental Stigmas and Does It Matter? A Latent Segmentation Analysis of Stated Preferences for Real Estate," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 89(3), pages 712-726.
    3. Chung, Chanjin & Han, Sungill & Boyer, Tracy A., 2007. "Valuing Quality Attributes and Country Equity in the Korean Beef Market," 2007 Annual Meeting, July 29-August 1, 2007, Portland, Oregon 9751, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    4. Kinsey, Jean D. & Wolfson, Paul J. & Katsaras, Nikolaos & Senauer, Benjamin, 2001. "Data Mining: A Segmentation Analysis Of U.S. Grocery Shoppers," Working Papers 14335, University of Minnesota, The Food Industry Center.
    5. Lusk, Jayson L. & Parker, Natalie, 2009. "Consumer Preferences for Amount and Type of Fat in Ground Beef," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 41(1), pages 1-16, April.
    6. Edward Morey & Jennifer Thacher & William Breffle, 2006. "Using Angler Characteristics and Attitudinal Data to Identify Environmental Preference Classes: A Latent-Class Model," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 34(1), pages 91-115, May.
    7. Mennecke, Brian & Townsend, Anthony & Hayes, Dermot J. & Lonergan, Steven, 2006. "A Study of the Factors That Influence Consumer Attitudes Toward Beef Products Using the Conjoint Market Analysis Tool," Staff General Research Papers Archive 12650, Iowa State University, Department of Economics.
    8. Richard T. Carson & Jordan J. Louviere & Nada Wasi, 2009. "A Cautionary Note on Designing Discrete Choice Experiments: A Comment on Lusk and Norwood’s “Effect of Experiment Design on Choice-Based Conjoint Valuation Estimates”," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 91(4), pages 1056-1063.
    9. Eric Ruto & Guy Garrod & Riccardo Scarpa, 2008. "Valuing animal genetic resources: a choice modeling application to indigenous cattle in Kenya," Agricultural Economics, International Association of Agricultural Economists, vol. 38(1), pages 89-98, January.
    10. Dan Rigby & Michael Burton, 2005. "Preference heterogeneity and GM food in the UK," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 32(2), pages 269-288, June.
    11. Brian C. Briggeman & Jason Henderson, 2009. "The slow road back for the U.S. livestock industry," Main Street Economist, Federal Reserve Bank of Kansas City, issue 4.
    12. Peterson, Hikaru Hanawa & Yoshida, Kentaro, 2004. "Quality Perceptions and Willingness-to-Pay for Imported Rice in Japan," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 36(1), pages 1-18, April.
    13. Riccardo Scarpa & Mara Thiene, 2005. "Destination Choice Models for Rock Climbing in the Northeastern Alps: A Latent-Class Approach Based on Intensity of Preferences," Land Economics, University of Wisconsin Press, vol. 81(3).
    14. Peter Boxall & Wiktor Adamowicz, 2002. "Understanding Heterogeneous Preferences in Random Utility Models: A Latent Class Approach," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 23(4), pages 421-446, December.
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    2. Heng-Hung KUO & Li-Hsing HO & Wen-Hung LIN, 2015. "Do hog breeds matter? Investigating the price volatility in the Taiwan's auction market," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 61(7), pages 314-325.
    3. Lee, Sang Hyeon & Lee, Ji Yong & Han, Doo Bong & Nayga, Rodolfo M. Jr., 2014. "Assessing Korean Consumers' Valuation for BSE-Tested and Country of Origin Labeled Beef Products," Journal of Rural Development/Nongchon-Gyeongje, Korea Rural Economic Institute, vol. 37(3), pages 1-21.
    4. Amanda Norris & John Cranfield, 2019. "Consumer Preferences for Country‐of‐Origin Labeling in Protected Markets: Evidence from the Canadian Dairy Market," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 41(3), pages 391-403, September.
    5. Norris, A. & Cranfield, J., 2018. "Consumer Preferences for Country of Origin Labelling on Dairy Products," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 275948, International Association of Agricultural Economists.
    6. Vincenzina Caputo, 2020. "Does information on food safety affect consumers' acceptance of new food technologies? The case of irradiated beef in South Korea under a new labelling system and across different information regimes," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 64(4), pages 1003-1033, October.

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