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Chinese Consumer Willingness to Pay for Pork with Credence Quality Attributes

Author

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  • Dong, Hao
  • Hu, Wuyang

Abstract

Food labeling has become increasingly important in pork marketing. Various labels such as local production, organic, and non-GMOs are reported as being valued by consumers across different countries and cultures. China is the largest pork consumer and producer in the world. However, studies on Chinese consumer perception and willingness to pay for various pork attributes are scarce. This study examines how credence attributes related to pork quality may affect Chinese consumers’ pork consumption. Results show that Chinese consumers are particularly responsive to pork’s food safety information and they also attach value to authenticity of the product information.

Suggested Citation

  • Dong, Hao & Hu, Wuyang, 2016. "Chinese Consumer Willingness to Pay for Pork with Credence Quality Attributes," 2016 Annual Meeting, February 6-9, 2016, San Antonio, Texas 230147, Southern Agricultural Economics Association.
    • Handle: RePEc:ags:saea16:230147
    DOI: 10.22004/ag.econ.230147
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    Cited by:

    1. Shengnan Sun & Xinping Wang & Yan Zhang, 2017. "Sustainable Traceability in the Food Supply Chain: The Impact of Consumer Willingness to Pay," Sustainability, MDPI, vol. 9(6), pages 1-19, June.
    2. Shi, Longzhong & Chen, Xuan & Chen, Bo & Qiu, Jingran & Li, Li, 2021. "Assessing Consumers’ Willingness to Pay for Covid-19-tested Food Labels," 2021 ASAE 10th International Conference (Virtual), January 11-13, Beijing, China 329403, Asian Society of Agricultural Economists (ASAE).
    3. Linhai Wu & Pingping Liu & Xiujuan Chen & Wuyang Hu & Xuesen Fan, 2021. "Contents of product attributes and the decoy effect: A study on traceable pork from the perspective of consumer utility," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 42(4), pages 974-984, June.
    4. Jianhua Wang & Jiaye Ge & Yuting Ma, 2018. "Urban Chinese Consumers’ Willingness to Pay for Pork with Certified Labels: A Discrete Choice Experiment," Sustainability, MDPI, vol. 10(3), pages 1-14, February.
    5. H. Holly Wang & Yu Jiang & Shaosheng Jin & Qiujie Zheng, 2022. "New online market connecting Chinese consumers and small farms to improve food safety and environment," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 70(4), pages 305-324, December.
    6. Liu, Ruifeng & ,, 2021. "What We Can Learn from the Interactions of Food Traceable Attributes? a Case Study of Fuji Apple in China," 2021 Conference, August 17-31, 2021, Virtual 315916, International Association of Agricultural Economists.
    7. Shanshan Li & Hong Chen & Xinru Huang & Ruyin Long, 2018. "Who Has Higher Willingness to Pay for Occupational Safety and Health?—Views from Groups with Different Public Identities and Differences in Attention," IJERPH, MDPI, vol. 15(8), pages 1-21, August.
    8. Ximing Chen & Jie Shang & Muhammad Zada & Shagufta Zada & Xueqiang Ji & Heesup Han & Antonio Ariza-Montes & Jesús Ramírez-Sobrino, 2021. "Health Is Wealth: Study on Consumer Preferences and the Willingness to Pay for Ecological Agricultural Product Traceability Technology: Evidence from Jiangxi Province China," IJERPH, MDPI, vol. 18(22), pages 1-13, November.
    9. Yu Jiang & H. Holly Wang & Shaosheng Jin, 2023. "Mobilising the public to fight poverty using anti‐poverty labels in online food markets: Evidence from a real experimental auction," Journal of Agricultural Economics, Wiley Blackwell, vol. 74(1), pages 168-190, February.
    10. Bo Hou & Jing Hou & Linhai Wu, 2019. "Consumer Preferences for Traceable Food with Different Functions of Safety Information Attributes: Evidence from a Menu-Based Choice Experiment in China," IJERPH, MDPI, vol. 17(1), pages 1-18, December.
    11. Lingling Xu & Xixi Yang & Linhai Wu & Xiujuan Chen & Lu Chen & Fu-Sheng Tsai, 2019. "Consumers’ Willingness to Pay for Food with Information on Animal Welfare, Lean Meat Essence Detection, and Traceability," IJERPH, MDPI, vol. 16(19), pages 1-22, September.
    12. Wuyang Hu & Shan Sun & Jerrod Penn & Ping Qing, 2022. "Dummy and effects coding variables in discrete choice analysis," American Journal of Agricultural Economics, John Wiley & Sons, vol. 104(5), pages 1770-1788, October.

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    Keywords

    Consumer/Household Economics;

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