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Co-adoption pathways toward a low-carbon energy system
Maria Lagomarsino1,2, Mart van der Kam1,3, Zahra Rahmani Azad1
1Psychology of Sustainability and Behavior Change, Faculty of Psychology, University of Basel, Missionsstasse 62a, 4055, Basel, Switzerland.
Iscience
|September 21, 2023
Summary
Households adopting multiple low-carbon technologies, like solar panels and electric vehicles, is key for energy transitions. Certain technologies act as entry points, increasing the likelihood of adopting others, especially when adopted together.
Area of Science:
- Environmental Science
- Energy Policy
- Behavioral Economics
Background:
- Global energy transitions necessitate widespread low-carbon technology adoption.
- Household adoption of multiple low-carbon technologies is crucial for achieving net-zero emissions goals.
- Previous research often overlooked the interconnectedness of adopting various low-carbon technologies.
Purpose of the Study:
- To investigate the co-adoption patterns of multiple low-carbon technologies among homeowners.
- To identify demographic and psychological predictors of low-carbon technology co-adoption.
- To examine the role of specific technologies as 'entry points' for subsequent adoptions.
Main Methods:
- Analysis of adoption data from a sample of 1967 homeowners.
- Statistical identification of unique demographic and psychological variables linked to co-adoption.
- Examination of temporal patterns in technology adoption sequences.
Main Results:
- Unique demographic and psychological factors influence the co-adoption of low-carbon technologies.
- Adoption of one technology significantly increases the probability of adopting another.
- This effect is most pronounced when technologies are adopted in close temporal proximity, indicating technology bundling.
Conclusions:
- Targeted policies supporting technology bundles can effectively promote widespread low-carbon technology adoption.
- Understanding adoption interconnections can accelerate the transition to sustainable energy systems.
- Households' co-adoption decisions are influenced by both individual characteristics and technology sequencing.
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