A Study on Consumers' Willingness to Pay for Remanufactured Products: A Study Based on Hierarchical Regression Method.

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ID: 67246
2019
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Abstract
As one of the low-carbon products, remanufactured products are being paid more attention in more and more countries. But the low willingness of Chinese consumers to pay for them makes it difficult for remanufactured products companies to move forward in the Chinese market. This study explores the factors that affect consumers' willingness to pay for remanufactured goods, through the hierarchical linear regression method, based on questionnaires. The results show that demographic variables (age, education, occupation, and income), individual subjective variables (environmental awareness, secondhand preferences, and Chinese quality trust) and product perception variables (MP4 quality perceived risk, face risk, and product impact on the environment) have a significant impact on the willingness to pay for remanufactured goods.
Reference Key
chen2019afrontiers Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Chen, Yao;Wang, Jinfei;Yu, Yinglei;
Journal Frontiers in psychology
Year 2019
DOI
10.3389/fpsyg.2019.02044
URL
Keywords
consumers’ willingness to pay hierarchical regression method population variables product perception remanufactured product

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