A meta-analysis of antecedents and consequences of green trust
Abstract
Purpose Increasing demand for goods and services strains environmental sustainability, driving interest in green products. Trust in these products is vital for adoption. Scholars have examined factors affecting green trust, but a comprehensive framework involving cognitive and affective factors as antecedents and behavioral outcomes as consequences is lacking. This study aims to address this gap and introduces cultural and socio-demographic variables as moderators. Design/methodology/approach The study consolidates the outcomes of 79 empirical publications on green trust and conducts a meta-analysis. Findings All the cognitive and affective factors and behavioral outcomes are significantly associated with green trust. The moderator analysis provides many valuable insights as it highlights the context dependency of various relationships of green trust. Research limitations/implications Using an extensive literature review, this study introduces an integrated framework that clarifies the antecedents and consequences of green trust. This work enriches the existing body of knowledge by investigating the influence of cultural and socio-demographic factors as moderators on these relationships, offering significant insights into the realm of green trust. Practical implications This research yields valuable guidance for providers of green products/services, shedding light on the factors that foster trust in their offerings and emphasizing the importance of customized strategies that…
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Green trust is a proximal driver of green purchase intentions net of attitudes.
“According to meta-analytic evidence, green trust is a proximal driver of green purchase intentions net of attitudes (Chauhan and Goyal, 2024;Ha, 2022).”
From Cross-national evidence on influencer-driven green choice: a moderated-mediation model of authenticity, parasocial ties, and greenwashing exposure (2026) · cites this paper as Chauhan and Goyal, 2024
Cites
Kirca, A. H., Jayachandran, S., & Bearden, W. O. (2005) · Journal of Marketing · doi:10.1509/jmkg.69.2.24.60761 · Cited by 2,182 · see citing works
How Does Green Product Knowledge Effectively Promote Green Purchase Intention?
Wang, H., Ma, B., & Bai, R. (2019) · Sustainability · doi:10.3390/su11041193 · Cited by 238 · see citing works
Research on the Green Purchase Intentions from the Perspective of Product Knowledge
Chen, K., & Deng, T. (2016) · Sustainability · doi:10.3390/su8090943 · Cited by 161 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Balaskas, S., & Yfantidou, I. (2026) · Frontiers in Communication · doi:10.3389/fcomm.2026.1764803 · Cited by 2 · see citing works
- Authors
- Chauhan, S., & Goyal, S.
- Affiliations
- O. P. Jindal Global University (IN)
- Thapar Institute of Engineering & Technology (IN)
- Corresponding author
- Chauhan, Sumedha
- Venue
- Journal of Consumer Marketing
- Publisher
- Emerald
- Published
- 2024-06-05
- Volume
- 41
- Issue
- 4
- Pages
- 459-473
- ISSN
- 0736-3761 (ISSN-L)
- OpenAlex
- W4399333953
- Cited by
- 19
- References
- 3
- Citations by year
- 2026: 12 · 2025: 6 · 2024: 1
- FWCI
- 1.98
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Consumer Marketing (publishedVersion)
- Topics
- Social Sciences › Business, Management and Accounting › Marketing › Environmental Sustainability in Business
- Social Sciences › Business, Management and Accounting › Strategy and Management › Sustainable Supply Chain Management
- Physical Sciences › Environmental Science › Management, Monitoring, Policy and Law › Environmental Education and Sustainability
- Keywords
- green trust, green products, green consumption, consumer trust, antecedents of trust, behavioral effects, cognitive factors, emotional factors, cultural moderators, sociodemographic moderators, environmental sustainability, green marketing
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review