Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 484

The DOI matches its Crossref record; 69 of the 69 references it cites were found in a registry or an index.

An extended model of value-attitude-behavior to explain Chinese consumers’ green purchase behavior

Cheung, Millissa F.Y., To, W.M.·2019·Journal of Retailing and Consumer Services

Abstract

Abstract This study proposed an extended value-attitude-behavior model to explain for consumers' green purchase behavior and validated this model on a random sample of 399 Chinese consumers in Hong Kong. Results of structural equation modelling showed that consumers' environmental consciousness (value) strongly influenced their attitude towards environmental issues and towards eco-social benefits (attitude), which in turn exerted positive effects on their green purchase behavior (behavior). Green product information was found to be a key determinant of consumers’ green purchase behavior. Moreover, high quality green products were reported to moderate the relationships between attitude towards eco-social benefits and green purchase behavior and between green product information and green purchase behavior, but not on the relationship between attitude toward environmental issues and green purchase behavior.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.jretconser.2019.04.006

Cites

69 of 69 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 69 references

Cited by

See all 484

Metadata

Authors
Cheung, M. F. Y., & To, W. M.
Venue
Journal of Retailing and Consumer Services
Publisher
Elsevier BV
Published
2019-09
Volume
50
Pages
145-153
ISSN
0969-6989 (ISSN-L)
OpenAlex
W2946656127
Cited by
484
References
69
FWCI
55.30
Type
journal article
Language
en
Open access
closed

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

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: An extended model of value-attitude-behavior to explain Chinese consumers’ green purchase behavior. https://app.cochat.ai/papers/10.1016/j.jretconser.2019.04.006
The paper
Cheung, M. F. Y., & To, W. M. (2019). An extended model of value-attitude-behavior to explain Chinese consumers’ green purchase behavior. Journal of Retailing and Consumer Services. https://doi.org/10.1016/j.jretconser.2019.04.006

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.