Household preferences for energy-saving measures: A conjoint analysis

By W. Poortinga, L. Steg, C. Vlek, G. Wiersma. 2003

546 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/b8b54eeb63f36731edb307996774325ed6e041c6

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

1. Massimo Filippini
2. M. Farsi
3. J. Schleich
4. L. Steg
5. Anna Alberini
6. Towhidul Islam
7. Nigel Meade
8. B. Mills

In Management, Monitoring, Policy and Law

1. L. Steg
2. W. Abrahamse
3. E. Hobman
4. C. Vlek
5. R. Gifford
6. Tobias Brosch
7. David Sander
8. Martin K. Patel

In Marketing

1. L. Steg
2. David Sander
3. Tobias Brosch
4. Martin K. Patel
5. W. Abrahamse
6. J. Schleich
7. B. Mills
8. E. Hobman

Citations in the corpus

• The Price of Policy Risk - Empirical Insights from Choice Experiments with European Photovoltaic Project Developers (2012, unknown): “…et al., 2009; Casey et al., 2008; Chattopadhyay, 2009; Farber and Griner, 2000; Glenn et al., 2010; Roe et al., 1996), transportation economics (Hensher, 1994; Hensher, 2010; Train and Wilson, 2008), and energy efficiency research (Banfi et al., 2008; Moxnes, 2004; Poortinga et al., 2003).”
• Making the implicit explicit: A look inside the implicit discount rate (2016, background): “Poortinga et al. (2003) stress that individual preferences generally differ by technology type.”
• Values, Environmental Concern, and Environmental Behavior (2004, background): “Some behaviors may be more difficult to perform (for some people) and therefore less likely to be completely dependent on motivational factors (Black, Stern, & Elworth, 1985; Poortinga et al., 2003; Stern, 2000).”
• Willingness to pay for energy-saving measures in residential buildings (2007, background): “For instance, Poortinga et al. (2003) have focused on the characteristics of 23 energy-savings measures including insulation and energy-efficient heating systems in the Netherlands.”
• Psychological and Demographic Factors Affecting Household Energy-Saving Intentions: A TPB-Based Study in Northwest China (2020, result): “However, some previous studies draw the opposite conclusion: families with less income are more likely to perform sustainable behaviors to reduce their living cost [55,56].”
• The impact of attribute preferences on adoption timing: The case of photo-voltaic (PV) solar cells for household electricity generation (2013, background): “Household income is a dominant predictor for larger energy conservation investments (see Long, 1993; Kasulis et al., 1981; Poortinga et al., 2003; Walsh 1989).”
• Promoting household energy conservation (2008, background): “when they stress purchasing energy-efficient appliances rather than showering less or turning down the thermostat), and when they are aimed at reducing energy use at home rather than for transport (Poortinga et al., 2003; Steg et al., 2006).”
• Residential Energy-Efficient Technology Adoption, Energy Conservation, Knowledge, and Attitudes: An Analysis of European Countries (2012, background): “This line of reasoning is supported by the findings of Curtis et al. (1984), Walsh (1989), Poortinga et al. (2003) and Mahapatra and Gustavsson (2008).”
• The Socio-Demographic and Psychological Predictors of Residential Energy Consumption: A Comprehensive Review (2015, background): “Some research seems to indicate that women exhibit more pro-environmental attitudes and behavior than men [20,43,57,58], while others find no significant relationship [6,21,27,51,59,60].”