Abstract
The built environment is a major contributor to global emissions, making the transition to low-carbon construction materials critical for climate mitigation. Multi-storey wooden buildings (MSWBs) have emerged as a sustainable alternative due to their carbon storage capacity and lower embodied emissions compared to conventional multi-storey buildings. However, consumer acceptability for MSWBs remains uncertain. This study draws on cognitive-motivational consumer models, expectancy-value theory, and Signalling Theory to examine the effect of climate beliefs and concern, belief on climate impact of wood construction, and MSWB attitudes on the intention to live in MSWBs. The relationships are tested using structural equation modelling applying survey data from 7053 respondents across seven European countries. The study finds that stronger climate beliefs and concern enhance perceptions of wood's climate benefits, which in turn influence both attitudes and housing intentions. However, attitudes toward multi-storey wooden buildings-particularly regarding comfort, health, and functionality-are stronger predictors of intention than beliefs alone, indicating a mediating role of attitudes. Cross-country differences highlight the role of cultural and regulatory contexts. The results suggest that policymakers and industry should emphasize and develop the climate benefits of MSWBs alongside improvements in perceived comfort and functionality. This study advances sustainable housing research by integrating environmental psychology and consumer behaviour perspectives.
| Original language | English |
|---|---|
| Article number | 101617 |
| Number of pages | 10 |
| Journal | Sustainable Futures |
| Volume | 11 |
| DOIs | |
| Publication status | Published - 2026 |
Bibliographical note
Publisher Copyright:© 2025 The Author(s)
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 12 Responsible Consumption and Production
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SDG 13 Climate Action
Keywords
- Climate beliefs
- Consumer preferences
- Structural equation modelling
- Timber construction
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