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

IntroductionWith 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.MethodsIn October of 2020,...

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Main Authors: Zengjin Liu, Tingting Fan, Caixia Li, Shanshan Wang
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-01-01
Series:Frontiers in Sustainable Food Systems
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Online Access:https://www.frontiersin.org/articles/10.3389/fsufs.2025.1484396/full
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author Zengjin Liu
Tingting Fan
Caixia Li
Shanshan Wang
author_facet Zengjin Liu
Tingting Fan
Caixia Li
Shanshan Wang
author_sort Zengjin Liu
collection DOAJ
description IntroductionWith 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.MethodsIn 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.ResultsThe 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.DiscussionBased on these findings, we propose strategies to expedite the development of a credit traceability system for agricultural products.
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spelling doaj-art-2c0f0665f92a424ea0559aaeae60857b2025-01-22T07:11:22ZengFrontiers Media S.A.Frontiers in Sustainable Food Systems2571-581X2025-01-01910.3389/fsufs.2025.14843961484396An investigation of consumer willingness to pay for traceable pork accompanied by supplementary quality assurance informationZengjin Liu0Tingting Fan1Caixia Li2Shanshan Wang3Institute of Agricultural Science and Technology Information, Shanghai Academy of Agricultural Sciences, Shanghai, ChinaInstitution of Agro-Food Standards and Testing Technology, Shanghai Academy of Agricultural Sciences, Shanghai, ChinaInstitute of Agricultural Science and Technology Information, Shanghai Academy of Agricultural Sciences, Shanghai, ChinaCollege of Economic and Management, Shanghai Ocean University, Shanghai, ChinaIntroductionWith 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.MethodsIn 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.ResultsThe 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.DiscussionBased on these findings, we propose strategies to expedite the development of a credit traceability system for agricultural products.https://www.frontiersin.org/articles/10.3389/fsufs.2025.1484396/fullcredit traceabilitycontingent valuation methodbinary logit modelwillingness to payagricultural products
spellingShingle Zengjin Liu
Tingting Fan
Caixia Li
Shanshan Wang
An investigation of consumer willingness to pay for traceable pork accompanied by supplementary quality assurance information
Frontiers in Sustainable Food Systems
credit traceability
contingent valuation method
binary logit model
willingness to pay
agricultural products
title An investigation of consumer willingness to pay for traceable pork accompanied by supplementary quality assurance information
title_full An investigation of consumer willingness to pay for traceable pork accompanied by supplementary quality assurance information
title_fullStr An investigation of consumer willingness to pay for traceable pork accompanied by supplementary quality assurance information
title_full_unstemmed An investigation of consumer willingness to pay for traceable pork accompanied by supplementary quality assurance information
title_short An investigation of consumer willingness to pay for traceable pork accompanied by supplementary quality assurance information
title_sort investigation of consumer willingness to pay for traceable pork accompanied by supplementary quality assurance information
topic credit traceability
contingent valuation method
binary logit model
willingness to pay
agricultural products
url https://www.frontiersin.org/articles/10.3389/fsufs.2025.1484396/full
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