This paper investigates whether households’ environmental and financial motivations affect their investments in energy-saving technologies. Exploiting a comprehensive dataset covering 30 European countries, we investigate whether financially motivated and environmentally minded households present different adoption paths. The results show that environmental and financial motivations play an essential role in the decision to adopt energy-saving technologies, thus paving the way for policy actions targeted at enhancing consumer awareness. Our analysis also reveals that environmentally and financially motivated households exhibit different socio-economic profiles. We find that environmentally minded, highly educated households living in urban areas with a large family size are more likely to adopt energy-saving technologies than their counterparts with low levels of education living in rural locations. In addition, their financial situation is an important factor in explaining the adoption patterns of financially motivated households. From a methodological point of view, our analysis exploits both parametric and nonparametric methods. We use stochastic dominance analysis to rank the distribution functions of household behaviours and the logit model to investigate the socio-economic profiles of different groups.

本文研究了家庭的环境和经济动机是否影响他们对节能技术的投资。我们利用涵盖 30 个欧洲国家的综合数据集，调查了具有经济动机和环保意识的家庭是否呈现出不同的采用路径。结果表明，环境和经济动机在采用节能技术的决策中发挥着至关重要的作用，从而为旨在提高消费者意识的政策行动铺平了道路。我们的分析还表明，出于环境和经济动机的家庭表现出不同的社会经济状况。我们发现，具有环保意识的人，居住在人口较多的城市地区的受过高等教育的家庭比居住在农村地区受教育程度较低的家庭更有可能采用节能技术。此外，他们的财务状况是解释经济动机家庭采用模式的一个重要因素。从方法论的角度来看，我们的分析同时利用了参数方法和非参数方法。我们使用随机优势分析对家庭行为的分布函数进行排序，并使用 Logit 模型来调查不同群体的社会经济概况。我们的分析同时利用参数和非参数方法。我们使用随机优势分析对家庭行为的分布函数进行排序，并使用 Logit 模型来调查不同群体的社会经济概况。我们的分析同时利用参数和非参数方法。我们使用随机优势分析对家庭行为的分布函数进行排序，并使用 Logit 模型来调查不同群体的社会经济概况。