Skip to main content

ORIGINAL RESEARCH article

Front. Sustain. Food Syst.
Sec. Sustainable Food Processing
Volume 9 - 2025 | doi: 10.3389/fsufs.2025.1484396
This article is part of the Research Topic Labeling and Certification for Sustainability in Food System View all 4 articles

An investigation of consumer willingness to pay for traceable pork accompanied by supplementary quality assurance information

Provisionally accepted
Zengjin Liu Zengjin Liu 1Tingting Fan Tingting Fan 1CAIXIA LI CAIXIA LI 1*Shanshan Wang Shanshan Wang 2
  • 1 Shanghai Academy of Agricultural Sciences, Shanghai, China
  • 2 Shanghai Ocean University, Shanghai, Shanghai Municipality, China

The final, formatted version of the article will be published soon.

    With increasing consumer concern regarding food safety, willingness to pay (WTP) for food has become a significant focal point of research. This study explored consumer willingness to pay for traceable pork in Shanghai with additional quality credit information. In October of 2020, 669 valid respondents were surveyed across 15 urban districts in Shanghai. By employing the contingent valuation method and a binary logit model, we empirically analyze consumer WTP for credit-traceable pork and its influencing factors, and estimate the average WTP. The results indicate the following. (1) As bid prices increase, fewer consumers are willing to pay extra for credit-traceable pork. Specifically, 94.59% of the consumers were willing to pay an additional price when the bid price was 2 yuan/kg, whereas only 10.53% were willing to pay 30 yuan/kg. (2) Nine variables significantly influence consumer WTP for credit-traceable pork: bid price, purchase experience, trust level, concern for pork, confidence in pork, purchasing from specialty stores, local pork purchasing habits, gender, and education level. On average, consumers are willing to pay an additional 8.48 yuan/kg for credit-traceable pork compared with regular pork. Although certain variables do not exhibit a significant impact, the WTP for credit-traceable pork varies considerably among different consumer groups. Based on these findings, we propose strategies to expedite the development of a credit traceability system for agricultural products.

    Keywords: Credit traceability, Contingent valuation method, Binary logit model, Willingness to pay, Agricultural products

    Received: 21 Aug 2024; Accepted: 02 Jan 2025.

    Copyright: © 2025 Liu, Fan, LI and Wang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: CAIXIA LI, Shanghai Academy of Agricultural Sciences, Shanghai, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.