Consumers' Understanding of Energy Labels: Perception of Eco‐Design With Scale Range and Color‐Coding

ABSTRACT Energy labels help consumers understand the environmental impact of products. This drives consumer behavior. Knowing how label features are perceived can thus have important implications for design, policy, and management. Energy labels contain different design features that convey information about the range of available energy classes. Such contextual information can help people make informed comparisons. Across three behavioral experiments, we evaluate the perception of (EU's eco‐design) energy labels based on their letter scale, color‐coding, and information about the scale's range of energy classes. These three features had different influences on judgments of environmental friendliness. A letter scale that begins with the alphabet (A to G) helped participants tell apart energy classes linearly. But a scale that extends beyond the alphabet (A+++ to D) led to biased and skewed responses. Color‐coding and information about the scale's range of energy classes provided important contextual information that made environmental judgments more discriminating and more stable. We demonstrate novel behavioral evidence on how such contextual information leads to better understanding of energy labels, with a discussion informed by range‐frequency theory, the cue‐utilization framework, and the heuristics and biases framework. Implications for policy and product marketing strategies with energy labels are discussed.

Authors

Institutions

Publication Details

Journal
Psychology and Marketing
Published
2025-12-30
DOI
https://doi.org/10.1002/mar.70095
Primary Topic
Color perception and design
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Consumers' Understanding of Energy Labels: Perception of Eco‐Design With Scale Range and Color‐Coding

Emil Skog, Patrik Sörqvist
Psychology and Marketing
Color perception and design
article

Consumers' Understanding of Energy Labels: Perception of Eco‐Design With Scale Range and Color‐Coding

Emil Skog, Patrik Sörqvist
article en

Abstract

ABSTRACT Energy labels help consumers understand the environmental impact of products. This drives consumer behavior. Knowing how label features are perceived can thus have important implications for design, policy, and management. Energy labels contain different design features that convey information about the range of available energy classes. Such contextual information can help people make informed comparisons. Across three behavioral experiments, we evaluate the perception of (EU's eco‐design) energy labels based on their letter scale, color‐coding, and information about the scale's range of energy classes. These three features had different influences on judgments of environmental friendliness. A letter scale that begins with the alphabet (A to G) helped participants tell apart energy classes linearly. But a scale that extends beyond the alphabet (A+++ to D) led to biased and skewed responses. Color‐coding and information about the scale's range of energy classes provided important contextual information that made environmental judgments more discriminating and more stable. We demonstrate novel behavioral evidence on how such contextual information leads to better understanding of energy labels, with a discussion informed by range‐frequency theory, the cue‐utilization framework, and the heuristics and biases framework. Implications for policy and product marketing strategies with energy labels are discussed.

Psychology and MarketingVol. 43(4)
Luleå University of Technology (SE), University of Gävle (SE)
Kempe Foundation, Riksbankens Jubileumsfond, Kempestiftelserna
Reduced inequalities
Openalex Percentile: Top 27%
Color perception and design
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.