Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 282

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Finding the Right Shade of Green: The Effect of Advertising Appeal Type on Environmentally Friendly Consumption

Green, Todd, Peloza, John·2014·Journal of Advertising

Abstract

There are two forms of advertising appeals for environmentally friendly products and policies: those that provide consumer benefit (e.g., cost savings) and those that provide societal benefit (e.g., lower emissions). This research examines the role of decision-making and consumption contexts on the efficacy of each appeal. The results of three studies indicate that in contexts where consumers experience heightened public accountability they are more responsive to other-benefit appeals, and in more private settings they favor self-benefit appeals. We replicate this finding across multiple samples, product categories, and consumption and decision-making contexts. Our findings reconcile previously conflicting research on the efficacy of either appeal type and provide guidance for marketers seeking to promote environmentally friendly consumption.

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 · 10.1080/00913367.2013.834805

Cites

5 of 5 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 5 references

Cited by

See all 282

Metadata

Authors
Green, T., & Peloza, J.
Venue
Journal of Advertising
Published
2014-04-03
Volume
43
Issue
2
Pages
128-141
ISSN
  • 0091-3367 (ISSN-L)
  • 1557-7805
OpenAlex
W2078378013
Cited by
282
References
5
FWCI
23.51
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: Finding the Right Shade of Green: The Effect of Advertising Appeal Type on Environmentally Friendly Consumption. https://app.cochat.ai/papers/10.1080/00913367.2013.834805
The paper
Green, T., & Peloza, J. (2014). Finding the Right Shade of Green: The Effect of Advertising Appeal Type on Environmentally Friendly Consumption. Journal of Advertising. https://doi.org/10.1080/00913367.2013.834805

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.