Determinants of households’ investment in energy efficiency and renewables: evidence from the OECD survey on household environmental behaviour and attitudes

By Nadia Ameli, N. Brandt. 2015

214 citations recorded by the source corpus.

This paper provides novel evidence on the main factors behind consumer choices regarding investments in energy efficiency and renewable energy technologies using the OECD Survey on Household Environmental Behaviour and Attitudes. The empirical analysis is based on the estimation of binary logit regression models. Empirical results suggest that households’ propensity to invest in clean energy technologies depends mainly on home ownership, income, social context and household energy conservation practices. Indeed, home owners and high-income households are more likely to invest than renters and low-income households. In addition, environmental attitudes and beliefs, as manifest in energy conservation practices or membership in an environmental non-governmental organisation, also play a relevant role in technology adoption.

Subfields: Economics and Econometrics, Management, Monitoring, Policy and Law, Marketing

View Paper: https://www.semanticscholar.org/paper/9f939ae0efd6d044559174d5a94adf7ec81846a9

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Citations in the corpus

Understanding the uneven diffusion of building-scale renewable energy systems: A review of household, local and country level factors in diverse European countries (2017, background): “Some studies find a significant influence [35,36], whereas others do not [18,27].”
Demand-side solutions for climate mitigation: Bottom-up drivers of household energy behavior change in the Netherlands and Spain (2020, methodology): “The importance of spatial and geographical location is strongly acknowledged in the literature [19,21,31,35,60,81,92].”
Pro-environmental Households and Energy Efficiency in Spain (2015, unknown): “In a recent paper, Ameli and Brand (2014) found that on average some of the cited variables increase the likelihood of energy efficient investment adoption.”
Energy efficient technology adoption in low-income households in the European Union – What is the evidence? (2019, methodology): “While previous studies relying on multi-country surveys (e.g. Mills and Schleich, 2010a, 2012; Ameli and Brandt, 2015; Krishnamurthy and Kriström, 2015; Schleich et al., 2018) employ country dummies to capture general differences across countries, this study estimates separate adoption equations…”
Making the implicit explicit: A look inside the implicit discount rate (2016, background): “, 2012; Krishnamurthy and Kriström, 2015; Scott, 1997) and energy-efficient appliances (Ameli and Brandt, 2015; Davis, 2011; Krishnamurthy and Kriström, 2015; Mills and Schleich, 2010a), but not energy-efficient light bulbs (Mills and Schleich, 2014, 2010b).”