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Segment stability and transition between segments based on consumer perceived value towards energy efficiency:
Ross Gordon1, Sally Dibb2, Christopher Magee3
1University of Technology Sydney, 15 Broadway, Ultimo, NSW, 2007, Australia.
Journal of Environmental Management
|June 29, 2025
Summary
Consumer segments for energy efficiency are not entirely stable over time. Understanding these shifts is key for effective environmental management and promoting energy-saving behaviors.
Area of Science:
- Environmental Management
- Consumer Behavior Analysis
- Energy Efficiency Studies
Background:
- Consumer segmentation aids in understanding environmental behaviors and informing policy.
- Limited knowledge exists on the long-term stability of consumer segments regarding energy efficiency.
- Segment stability is crucial for the effectiveness of environmental initiatives.
Purpose of the Study:
- To examine the stability of consumer segments based on perceived value towards energy efficiency.
- To investigate transitions between these consumer segments over time.
- To identify factors predicting shifts between segments and inform environmental management strategies.
Main Methods:
- Utilized a longitudinal, three-wave survey of 1444 consumers.
- Employed latent profile analysis to identify distinct consumer segments.
- Applied latent transition analysis to model segment stability and predict transitions.
Main Results:
- Consumer segments related to perceived value of energy efficiency exhibit some instability over time.
- Identified specific predictors influencing consumer movement between value segments.
- Demonstrated that segments are not static, highlighting the need for adaptive strategies.
Conclusions:
- Consumer segmentation for energy efficiency requires dynamic approaches due to segment transitions.
- Findings offer insights for environmental management to develop more resilient and effective energy efficiency programs.
- Understanding segment dynamics is essential for long-term success in promoting energy efficiency behaviors.
Keywords:
Dynamic stabilityEnergy efficiencyLatent profile analysisLatent transition analysisSegmentationTimeTransitionMore Related Videos
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