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What’s in a Price? The Impact of Starting Point Bias in WTP for Information in Taiwanese Wet Markets

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  • Yang, Shang-Ho
  • Souza Monteiro, Diogo

Abstract

Traditional markets in Asian countries still account for the majority of fresh meat, fish and vegetable purchases. One of the reasons for their popularity is the relational trust between vendors and buyers. This trust may justify the limited availability of information on origin or production methods and other attributes of foods sold in these markets. However, a number of recent food safety outbreaks and food fraud cases raised consumer and government concerns on over the level information in these markets and ignited a reflection of possible action. This study aims to determine the consumer willingness to pay (WTP) for fresh meat traceability and free growth hormone information traditional markets in Taiwan. To estimate the values of information the payment card method was employed and to account for the starting point bias, the sample was divided into different treatments each with a different price of meat. A total of 2,381 completed survey were collected in mid-July, 2015. An interval regression model is utilized to examine how much consumers would be willing to pay for addition product information. The results suggest that WTP of information not consistent among groups with different starting point scenarios. There was a significant difference between respondents that were not given any indication of the price per quantity of meat and those that were prompted with a market price. Interestingly, we found that consumers treat the information of growth hormone-free examination and traceability differently.

Suggested Citation

  • Yang, Shang-Ho & Souza Monteiro, Diogo, 2016. "What’s in a Price? The Impact of Starting Point Bias in WTP for Information in Taiwanese Wet Markets," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235766, Agricultural and Applied Economics Association.
    • Handle: RePEc:ags:aaea16:235766
    DOI: 10.22004/ag.econ.235766
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    1. Wu, Linhai & Wang, Shuxian & Zhu, Dian & Hu, Wuyang & Wang, Hongsha, 2015. "Chinese consumers’ preferences and willingness to pay for traceable food quality and safety attributes: The case of pork," China Economic Review, Elsevier, vol. 35(C), pages 121-136.
    2. Reinartz, Werner & Dellaert, Benedict & Krafft, Manfred & Kumar, V. & Varadarajan, Rajan, 2011. "Retailing Innovations in a Globalizing Retail Market Environment," Journal of Retailing, Elsevier, vol. 87(S1), pages 53-66.
    3. Ji Yong Lee & Doo Bong Han & Rodolfo M. Nayga Jr & Song Soo Lim, 2011. "Valuing traceability of imported beef in Korea: an experimental auction approach," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 55(3), pages 360-373, July.
    4. Naspetti, Simona & Zanoli, Raffaele, 2006. "Organic food quality & safety perception throughout Europe," 98th Seminar, June 29-July 2, 2006, Chania, Crete, Greece 10086, European Association of Agricultural Economists.
    5. Stranieri, Stefanella & Banterle, Alessandro, 2015. "Consumer Interest in Meat Labelled Attributes: Who Cares?," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 18(4), pages 1-18, November.
    6. Berning, Joshua P. & Chouinard, Hayley H. & Manning, Kenneth C. & McCluskey, Jill J. & Sprott, David E., 2010. "Identifying consumer preferences for nutrition information on grocery store shelf labels," Food Policy, Elsevier, vol. 35(5), pages 429-436, October.
    7. Batte, Marvin T. & Hooker, Neal H. & Haab, Timothy C. & Beaverson, Jeremy, 2007. "Putting their money where their mouths are: Consumer willingness to pay for multi-ingredient, processed organic food products," Food Policy, Elsevier, vol. 32(2), pages 145-159, April.
    8. Green, Donald & Jacowitz, Karen E. & Kahneman, Daniel & McFadden, Daniel, 1998. "Referendum contingent valuation, anchoring, and willingness to pay for public goods," Resource and Energy Economics, Elsevier, vol. 20(2), pages 85-116, June.
    9. Stefanella Stranieri & Lucia Baldi & Alessandro Banterle, 2010. "Do Nutrition Claims Matter to Consumers? An Empirical Analysis Considering European Requirements," Journal of Agricultural Economics, Wiley Blackwell, vol. 61(1), pages 15-33, February.
    10. Ortega, David L. & Wang, H. Holly & Wu, Laping, 2009. "Food Safety and Demand: Consumer Preferences for Imported Pork in Urban China," Journal of Food Distribution Research, Food Distribution Research Society, vol. 40(3), pages 1-12, November.
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    Keywords

    Consumer/Household Economics; Food Consumption/Nutrition/Food Safety; Marketing; Research Methods/ Statistical Methods;
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