Attribute-Driven or Green-Driven: The Impact of Subjective and Objective Knowledge on Sustainable Tea Consumption.

Manhua Zheng, Decong Tang, Anxin Xu
Author Information
  1. Manhua Zheng: College of Economics and Management, Fujian Agriculture and Forestry University, Fuzhou 350002, China. ORCID
  2. Decong Tang: College of Economics and Management, Fujian Agriculture and Forestry University, Fuzhou 350002, China. ORCID
  3. Anxin Xu: College of Economics and Management, Fujian Agriculture and Forestry University, Fuzhou 350002, China.

Abstract

The market for green agricultural products has tremendous growth potential as the pressure on resources and the environment increases and the safety of agricultural products is garnering attention. The demand for green food (tea) is also rising as tea is among the top three beverages consumed worldwide. The study attempts to propose a model of the relationship between green food (tea) customers' product knowledge, perceived product quality, trust, purchase intention, and purchase behaviour. In addition, we will provide an analysis of the role played by age, education, income, gender, etc. The study included 700 questionnaires on green food (tea) consumers that were collected through the Credemo questionnaire platform, and data analysis was carried out using the SmartPLS software to assess the model of product knowledge on green food (tea) consumption behaviour. The findings demonstrate that, concerning differences in age, education, income, and gender; product knowledge-including attribute knowledge and green knowledge-has a positive impact on perceived product quality and trust; perceived product quality has a positive impact on trust; perceived product quality and trust have a positive impact on purchase intention; and purchase intention has a positive impact on purchase behavior.

Keywords

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Grants

  1. FJ2022Z006/Major Project of Social Science Fund 452 of Fujian Province in 2022 "Research on The Strategy of Fujian Province Adhering to Expanding 453 Domestic Demand"

Word Cloud

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