Exploring Homeowners’ Attitudes and Climate-Smart Renovation Decisions: A Case Study in Kronoberg, Sweden

Shashwat Sinha (), Georgios Pardalis, Brijesh Mainali and Krushna Mahapatra
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Shashwat Sinha: Department of Built Environment and Energy Technology, Linnaeus University, P G Vejdes väg, 35195 Växjö, Sweden
Georgios Pardalis: International Institute for Industrial Environmental Economics (IIIEE), Lund University, P.O. Box 196, 22100 Lund, Sweden
Brijesh Mainali: Department of Built Environment and Energy Technology, Linnaeus University, P G Vejdes väg, 35195 Växjö, Sweden
Krushna Mahapatra: Department of Built Environment and Energy Technology, Linnaeus University, P G Vejdes väg, 35195 Växjö, Sweden

Sustainability, 2025, vol. 17, issue 7, 1-19

Abstract: This study aims to assess the factors influencing homeowner behaviour regarding climate-adaptive renovations. This study extends the Theory of Planned Behaviour (TPB) by integrating additional factors such as inherent homeowner qualities (IHQs) and building attributes (BAs) to better capture climate-adaptive renovation decisions. Different configurations for the impacts of these additional factors were tested, and their correlation to homeowner attitudes (ATs) and homeowner intentions (INTs) was studied. The results indicate that attitudes related to beliefs about climate change impacts are the strongest predictors of climate-adaptive behaviour. It was also found that IHQ was a strong determinant of homeowner attitudes and had a strong indirect impact on homeowner intentions to perform climate-adaptive renovations. Given the significant role of cognitive attitudes in shaping climate-adaptive behaviours, policy interventions should focus on fostering more climate-conscious attitudes. Targeted public campaigns can highlight localised climate risks and the benefits of adaptive renovations. Sharing narratives from regions affected by severe climate events, potentially in the form of targeted workshop sessions, could make climate risks more tangible, especially for those without direct exposure, fostering greater public engagement and adaptive actions.

Keywords: planned behaviour; multifactor regression; climate resilience; retrofitting (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2025
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