2020
DOI: 10.1080/00207659.2020.1808320
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Estimating Heating-Related GHG Emissions: The Advantage of a Household Composition-Based Survey Approach

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Cited by 5 publications
(2 citation statements)
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“…In empirical work, recent findings emphasize the importance of a thorough coverage of sociostructural factors in the analysis of climate related behaviour and resulting impacts. For example, results obtained by Schweighart, Schwarzinger, and Bird (2020) show that using household composition in regression models increases the explanatory power. Hornsey, Harris, Bain, and Fielding (2016) show that even if other variables are more important predictors of climate change perception, socio-demographics such as gender, age, or education are relevant.…”
Section: Socio-structural Factors Influencing Climate Actionmentioning
confidence: 99%
“…In empirical work, recent findings emphasize the importance of a thorough coverage of sociostructural factors in the analysis of climate related behaviour and resulting impacts. For example, results obtained by Schweighart, Schwarzinger, and Bird (2020) show that using household composition in regression models increases the explanatory power. Hornsey, Harris, Bain, and Fielding (2016) show that even if other variables are more important predictors of climate change perception, socio-demographics such as gender, age, or education are relevant.…”
Section: Socio-structural Factors Influencing Climate Actionmentioning
confidence: 99%
“…The main influencing factors regarding heating emissions per capita are the floor space, the number of persons living in a household, and the type of main source of energy used (thus the kind of fuel) (Schweighart et al, 2020). If the type of dwelling and the thermal insulation are added, the explanatory power for heating emissions increases to approximately 70%.…”
Section: Housingmentioning
confidence: 99%