The Short List: The Most Effective Actions U.S. Households Can Take to Curb Climate Change
By G. T. Gardner, P. Stern. 2008
563 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Renewable Energy, Sustainability and the Environment
View Paper: https://www.semanticscholar.org/paper/a0d20f99a58d70c95f496fa3100a6ded4d311484
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
- Richard Wood
- D. Ivanova
- Edgar G. Hertwich
- Arnold Tukker
- Konstantin Stadler
- Kjartan Steen‐Olsen
- Gibran Vita
- W. Bruine de Bruin
In Renewable Energy, Sustainability and the Environment
- Richard Wood
- Edgar G. Hertwich
- D. Ivanova
- Arnold Tukker
- Kjartan Steen‐Olsen
- Konstantin Stadler
- Gibran Vita
- Adrian Albert
Citations in the corpus
- Environmental Impact Assessment of Household Consumption (2016, background): “Households have a relatively large degree of control over their consumption, but they often lack accurate and actionable information on how to improve their own environmental performance (Gardner and Stern 2008), and household footprint calculations can provide such information.”
- The design of eco-feedback technology (2010, background): “Gardner and Stern [20] draw a useful distinction between two types of consumption behaviors: (1) efficiency behaviors , which are one-time actions that provide a lasting impact, such as buying a fuel-efficient vehicle, and (2) curtailment behaviors , which involve forming new routines to reduce…”
- Information Strategies and Energy Conservation Behavior: A Meta-Analysis of Experimental Studies from 1975 to 2012 (2013, unknown): “Some researchers claim that more information has little or no effect on energy use (Abrahamse et al., 2005), while others estimate that information programs could result in energy use reductions on the order of 22 to 30% over the next 5 to 8 years (Laitner et al., 2009; Gardner and Stern, 2008).”
- For better or for worse? Empirical evidence of moral licensing in a behavioral energy conservation campaign (2013, background): “As Gardner and Stern (2008) put it in their ‘‘Short List’’ of household actions to curb climate change: ‘‘When people are faced with a laundry list of advice, [y] they may carry out one or two actions—probably the easiest to remember and perform.”
- Is disaggregation the holy grail of energy efficiency? The case of electricity (2013, background): “It is estimated that about 20% of this, or 8% of all U.S. energy use and emissions, could be avoided with efficiency improvements to these buildings (McKinsey & Company, 2007; Creyts et al., 2007; Gardner and Stern 2008; Laitner, Ehrhardt-Martinez, and McKinney 2009).”
- The potential role of carbon labeling in a green economy (2012, background): “CO 2 emissions, or 626 million metric tons of carbon (MtC) (Gardner and Stern, 2008; Energy Information Agency 2008).”
- Consumption-Driven Environmental Impact and Age Structure Change in OECD Countries: A Cointegration-STIRPAT Analysis (2011, background): “Since 2 In the US, approximately 59% of all transport energy consumed is from non-business, household sources (Gardner and Stern 2008).”
- Public Praise vs. Private Pay: Effects of Rewards on Energy Conservation in the Workplace (2013, background): “Here we focus on changing energy conservation behavior (also termed curtailment behavior, or usage related behavior), and not on the adoption of technology (or efficiency-related change; see Barr et al., 2005; Gardner and Stern, 2008).”
- Preparing for smart grid technologies: A behavioral decision research approach to understanding consumer expectations about smart meters (2012, methodology): “Behavioral decision research complements other studies of consumer behavior by suggesting the basic decision-making processes contributing to it (e.g., Gardner and Stern, 2002, 2009; Madlener and Harmsen van Hout, 2011; Scholz, 2011).”
- Shedding light on the psychological and behavioral determinants of travel mode choice: A meta-analysis (2017, unknown): “There is wide consensus over the un-sustainability of current mobility patterns, and the need to shift towards new paradigms (Collins & Chambers, 2005; Gardner & Stern, 2008; Stern, 2011).”