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Journal ArticleDOI

Energy efficiency and consumption — the rebound effect — a survey

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TLDR
In this paper, a review of some of the relevant literature from the US offers definitions and identifies sources including direct, secondary, and economy-wide sources and concludes that the range of estimates for the size of the rebound effect is very low to moderate.
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This article is published in Energy Policy.The article was published on 2000-06-01. It has received 1867 citations till now. The article focuses on the topics: Rebound effect (conservation) & Energy consumption.

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Impact of fuel price on vehicle miles traveled (VMT): do the poor respond in the same way as the rich?

TL;DR: In this paper, the authors examined the variation of fuel price elasticity of vehicle miles travelled (VMT) across income groups and compared the relative magnitudes of the fuel price and the rebound effect.
Journal ArticleDOI

Can economic incentives enhance adoption and use of a household energy technology? Evidence from a pilot study in Cambodia

TL;DR: In this article, the authors evaluate whether economic incentives enhance continued use and fuel savings from improved cookstove (ICS) adoption in rural Cambodia and find that households do respond to these rebates by adopting the intervention ICS at significantly higher rates, and by using it more frequently and for longer periods.
Book

U.S. Energy Policy and the Pursuit of Failure

TL;DR: In this article, the authors present an analytic history of American energy policy and the pursuit of failure, explaining how and why various policy efforts have come about, showing why politicians have been eager to back them, and analyzes why they have inevitably failed.
Journal ArticleDOI

Domestic energy consumption and climate change mitigation

TL;DR: Whitmarsh et al. as mentioned in this paper provided a brief overview of research on domestic energy use, covering four main disciplines: engineering, economics, psychology, and sociology, and discussed the results of empirical studies that examine how households may be encouraged to reduce their energy use and help mitigate climate change.
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Capturing the co-benefits of energy efficiency in China — A perspective from the water-energy nexus

TL;DR: In this article, the authors assess the environmental and water saving co-benefit of long-run energy efficiency improvement based on a recursive multi-sectoral dynamic CGE model and show that more water will be used for energy production in the future because of the increase in energy production.
References
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Economics and consumer behavior

TL;DR: Deaton and Muellbauer as mentioned in this paper introduced generations of students to the economic theory of consumer behaviour and used it in applied econometrics, including consumer index numbers, household characteristics, demand, and household welfare comparisons.
Journal ArticleDOI

Technology, Prices, and the Derived Demand for Energy

TL;DR: In this article, an industrial demand for energy is essentially a derived demand: the firm's demand for the energy is an input, derived from demand for a firm's output, which is an output.
Journal ArticleDOI

Individual Discount Rates and the Purchase and Utilization of Energy-Using Durables

TL;DR: In this article, a model of individual behavior in the purchase and utilization of energy-using durables is presented, where the tradeoff between capital costs for more energy efficient appliances and operating costs for the appliances is emphasized.
Journal ArticleDOI

Economic Implications of Mandated Efficiency in Standards for Household Appliances

TL;DR: In this article, the authors argue that the indiscriminate use of mandated standards will backfire, but a mix of selective standards and reliance on prices as a restraint can be effective.
Posted Content

Qualitative Choice Analysis: Theory, Econometrics, and an Application to Automobile Demand

TL;DR: In this article, the authors present a detailed study of automobile demand and use, presenting forecasts based on the powerful new techniques of qualitative choice analysis and standard regression techniques, which are combined to analyze situations that neither alone can accurately forecast.
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