Price volatility and residential electricity decisions: Experimental evidence on the convergence of energy generating source

Cardella, Eric; Ewing, Bradley T.; Williams, Ryan Blake

doi:10.1016/j.eneco.2016.07.012

Cited by 23 publications

(9 citation statements)

References 41 publications

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“…18. As part of a separate research project, Cardella et al (2017), we also manipulated the monthly price volatility as an attribute of each plan. Monthly price volatility was presented in the form of a price distribution table that displayed the possible monthly prices and the corresponding percent chance of each price occurring, as depicted in the sample choice set in Figure 1.…”

Section: Choice Experiments Of Electric Power Planmentioning

confidence: 99%

Green is Good—The Impact of Information Nudges on the Selection of Voluntary Green-Power Plans

Cardella¹,

Ewing²,

Williams³

2022

The Energy Journal

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A recent trend has been a move toward greater reliance on renewable or "green" energy sources, especially in the residential sector. Using a choice experiment, this paper examines how providing information regarding the efficiency, cost, and environmental impacts of different power-generating sources impact consumers' stated preferences for selecting voluntary green-power plans. Based on 21,000 plan choices from two different samples totaling over 1,800 respondents, our results indicate that information nudges significantly impact respondents' choice of plan. Promoting the advantages of the green plan or the disadvantages of the "gray" plan increase green plan selection. The magnitudes of these estimated effects are economically significant being roughly equivalent to a change in the monthly green price premium of $4/month. We also find that promoting the advantages of the green plan is more effective when the green plan premium is relatively small, while highlighting the drawbacks of the gray plan is more effective when the green plan premium is relatively large. Our results suggest that information nudges have the potential to be a plausible, economical, and effective mechanism to increase adoption of voluntary green-power plans.

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Section: Choice Experiments Of Electric Power Planmentioning

confidence: 99%

Green is Good—The Impact of Information Nudges on the Selection of Voluntary Green-Power Plans

Cardella¹,

Ewing²,

Williams³

2022

The Energy Journal

Self Cite

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“…They were required to answer the questionnaire based on the game they had most recently played. The use of Qualtrics and other providers for such panel surveys is increasingly prevalent in academic research, and is deemed a valid approach to sourcing data from required target populations (Cardella, Ewing andWilliams, 2016, Lowry, et al, 2016;Pennington and Kelton, 2016). A sample size was determined, based on the assumption that there should be at least 10 participants per independent variable being assessed (Barlett, Kotrlik and Higgins, 2001).…”

Section: Data Collectionmentioning

confidence: 99%

Factors Influencing Online Game‑Based Learning Effectiveness

Mosiane¹,

Brown²

2020

EJISE

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There is a general consensus that games are effective as learning tools. There is however, a lack of knowledgeregarding what makes online games effective as learning tools. The purpose of this study is therefore to answer the question:What are the factors influencing online game‑based learning effectiveness? The aim of this paper is to develop a conceptualframework that reflects the factors influencing online game‑based learning effectiveness. The conceptual frameworkcombines concepts from the Information Systems Success Model, Task‑Technology Fit Model and Flow theory. The studyused a quantitative method. Data was collected using an online instrument. The study used 134 respondents from mainlythe United Kingdom, United States and South Africa. The model was validated using confirmatory factor analysis and testedusing Smart‑PLS to assess path coefficients. The identified factors influencing Knowledge Improvement, the key measurechosen for learning effectiveness with online game‑based learning, are Game‑Task Fit, Flow (where Flow consists ofdimensions of Goal Orientation/Feedback and Concentration) and Perceived Usefulness. The utilitarian factors of Game‑TaskFit and Perceived Usefulness have a stronger effect on Knowledge Improvement than Flow. On the other hand Flow was theonly one of these three variables to have an influence on intensity and frequency of game use, suggesting a hedonicmotivation for intense and frequent game usage. These increases in game usage do not necessarily translate into KnowledgeImprovement suggesting that the link between game use and Knowledge Improvement may not be a simple linearrelationship. Game Quality influences Game‑Task Fit, while Information Quality influences both Flow and Game‑Task Fit.

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“…The stated preference approach has also been adopted in recent studies of consumer switching (e.g., Amador et al, 2013;Bae & Rishi, 2018;Cardella et al, 2017;Hensher et al, 2014;Kaenzig et al, 2013). However, some recent studies have adopted a different approach by using revealed preference data on consumers actual behaviour to investigate consumer switching in deregulated markets (e.g., Daglish, 2016;Giulietti et al, 2014;Hortaçsu et al, 2017;Rutter et al, 2018).…”

Section: Literature Reviewmentioning

confidence: 99%

Consumer switching in retail electricity markets: Is price all that matters?

2019

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Price volatility and residential electricity decisions: Experimental evidence on the convergence of energy generating source

Cited by 23 publications

References 41 publications

Green is Good—The Impact of Information Nudges on the Selection of Voluntary Green-Power Plans

Green is Good—The Impact of Information Nudges on the Selection of Voluntary Green-Power Plans

Factors Influencing Online Game‑Based Learning Effectiveness

Consumer switching in retail electricity markets: Is price all that matters?

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