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Consumer Preferences for Traceable Food with Different Functions of Safety Information Attributes: Evidence from a Menu-Based Choice Experiment in China

Author

Listed:
  • Bo Hou

    (School of Philosophy and Public Administration, Jiangsu Normal University, Xuzhou 221116, China)

  • Jing Hou

    (School of Business, Jiangsu Normal University, Xuzhou 221116, China)

  • Linhai Wu

    (Food Safety Research Base of Jiangsu Province (School of Business), Jiangnan University, Wuxi 214122, China)

Abstract

It is of great value to study consumer demand for safe foods in promoting the development of a safe food market system and the reduction of food safety risks, as well as foodborne diseases in China. This paper takes traceable pork as an example and constructs food safety information attributes with ex ante quality verification and ex post traceability. Interactions between safety information attributes and the consumer’s response to cost-driven price changes were investigated for 345 consumers in Wuxi City, Jiangsu Province, China, using a menu-based choice (MBC) experiment and multivariate probit (MVP) model as analysis tools. The results suggest that food safety information attributes are important to consumers, as the consumers preferred pork quality inspection attributes to pre-incident quality assurance functions. Therefore, it is beneficial to include pork quality inspection attributes in the traceable pork attribute systems during the initial construction of traceable pork markets in China. Attribute price was an important factor that affected consumers’ choice of information attributes. When customization cannot be achieved, a profile composed of elastic pork quality inspection attribute and supply chain–internal traceability attribute would be the most preferred traceable pork product in the market based on the need of building a fully functional traceable food system and reducing food safety risks. In addition, there was a strong substitution relationship between different information attributes, and there was heterogeneity in consumers’ choice of information attributes. Therefore, the government should support manufacturers in producing multi-level safe food to meet diverse consumer demand.

Suggested Citation

  • 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.
  • Handle: RePEc:gam:jijerp:v:17:y:2019:i:1:p:146-:d:301484
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    References listed on IDEAS

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    1. 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.
    2. Jianhua Wang & Hanyu Diao & Lulu Tou, 2019. "Research on the Influence Mechanism of Rational Consumers’ Food Safety Supervision Satisfaction," IJERPH, MDPI, vol. 16(5), pages 1-16, March.
    3. Jill E. Hobbs, 2004. "Information asymmetry and the role of traceability systems," Agribusiness, John Wiley & Sons, Ltd., vol. 20(4), pages 397-415.
    4. Linhai Wu & Hongsha Wang & Dian Zhu & Wuyang Hu & Shuxian Wang, 2016. "Chinese consumers’ willingness to pay for pork traceability information—the case of Wuxi," Agricultural Economics, International Association of Agricultural Economists, vol. 47(1), pages 71-79, January.
    5. Ortega, David L. & Wang, H. Holly & Wu, Laping & Olynk, Nicole J., 2011. "Modeling heterogeneity in consumer preferences for select food safety attributes in China," Food Policy, Elsevier, vol. 36(2), pages 318-324, April.
    6. Linhai Wu & Xiaoru Gong & Shasha Qin & Xiujuan Chen & Dian Zhu & Wuyang Hu & Qingguang Li, 2017. "Consumer preferences for pork attributes related to traceability, information certification, and origin labeling: Based on China's Jiangsu Province," Agribusiness, John Wiley & Sons, Ltd., vol. 33(3), pages 424-442, June.
    7. Ubilava, David & Foster, Kenneth, 2009. "Quality certification vs. product traceability: Consumer preferences for informational attributes of pork in Georgia," Food Policy, Elsevier, vol. 34(3), pages 305-310, June.
    8. Bo Hou & Linhai Wu & Xiujuan Chen & Dian Zhu & Ruiyao Ying & Fu-Sheng Tsai, 2019. "Consumers’ Willingness to Pay for Foods with Traceability Information: Ex-Ante Quality Assurance or Ex-Post Traceability?," Sustainability, MDPI, vol. 11(5), pages 1-14, March.
    9. Loureiro, Maria L. & Umberger, Wendy J., 2007. "A choice experiment model for beef: What US consumer responses tell us about relative preferences for food safety, country-of-origin labeling and traceability," Food Policy, Elsevier, vol. 32(4), pages 496-514, August.
    10. Linhai Wu & Xiaolin Liu & Dian Zhu & Hongsha Wang & Shuxian Wang & Lingling Xu, 2015. "Simulation of Market Demand for Traceable Pork with Different Levels of Safety Information: A Case Study in Chinese Consumers," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 63(4), pages 513-537, December.
    11. Kar H. Lim & Wuyang Hu & Leigh J. Maynard & Ellen Goddard, 2014. "A Taste for Safer Beef? How Much Does Consumers’ Perceived Risk Influence Willingness to Pay for Country‐of‐Origin Labeled Beef," Agribusiness, John Wiley & Sons, Ltd., vol. 30(1), pages 17-30, January.
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