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Sustainable Green Product Adoption Test Using Logistic Regression: Comparison of Glass and Electronic Products

Author

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  • Lan-Lan Wan

    (School of Economics and Management, Shanghai University of Political Science and Law, Shanghai 201602, China)

  • Hong-Youl Ha

    (School of Social Science, Dongguk University, Seoul 04620, Korea)

Abstract

Marketing literature emphasizes the importance of green product adoption for environmental sustainability. However, consumers’ evaluations of the key factors (for adopting green products) differ in critical ways. Drawing on a consumer–marketing interface, this study uses a binary logit model to investigate how consumers adopt two different types of products (e.g., glass and electronic). The results show that the impacts of the twelve factors behind consumer adoption of green products vary widely between glass and electronic products. Specifically, the analysis identifies four factors (eco-labeling, peer groups, cultural values, and environmental awareness) that have no influence on consumer adoption intentions. It also shows that males are more likely to have positive adoption intentions than females for both glass and electronic products. The authors conclude this paper by discussing the implications of these important findings for research and practice.

Suggested Citation

  • Lan-Lan Wan & Hong-Youl Ha, 2021. "Sustainable Green Product Adoption Test Using Logistic Regression: Comparison of Glass and Electronic Products," Sustainability, MDPI, vol. 13(9), pages 1-13, May.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:9:p:5084-:d:547545
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