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ORIGINAL RESEARCH article

Front. Sustain. Food Syst.
Sec. Agricultural and Food Economics
Volume 8 - 2024 | doi: 10.3389/fsufs.2024.1465425

On Willingness to Pay and Impact Mechanism of Green Agricultural Products: A Case of Shrimp Rice in Hunan, China

Provisionally accepted
Rongji Zhou Rongji Zhou 1Yuyan Yin Yuyan Yin 2*
  • 1 Hengyang Normal University, Hengyang, Hunan Province, China
  • 2 Jinan University, Guangzhou, China

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

    The burgeoning interest in green agriculture represents a pivotal shift towards environmentally friendly farming systems but sales of its products have been poor. Therefore, guiding consumers to pay reasonably can help green agricultural enterprises formulate appropriate marketing strategies and enhance public health and environmental quality. This paper takes shrimp rice (SR) as an example, based on 1,158 consumers in the largest rice province Hunan, and seeks to detect which factors affect the public's willingness to pay (WTP) by adopting the Contingent Valuation Method (CVM) and Heckman two-step Model. After removing biased observations, the results show that most respondents recognize the value of SR, whose premium is 1.47 yuan/kg, with a 25.85% premium rate. Moreover, positive external cognitions (psychology, environment, safety, policy) can moderate consumers' WTP to varying degrees by strengthening their corresponding motivations. In addition, older, highly educated men who are familiar with SR and high-income but small-scale households with children and the elderly are more likely to pay a higher premium. Hence, some recommendations are put forward to enhance consumers' external cognitions, providing an indispensable scientific basis for developing countries to promote the sustainable development of environmentally friendly agriculture.

    Keywords: Shrimp rice, WTP, Contingent Valuation, Heckman two-step model, Cognition

    Received: 06 Aug 2024; Accepted: 11 Nov 2024.

    Copyright: © 2024 Zhou and Yin. 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: Yuyan Yin, Jinan University, Guangzhou, 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.