Journal ArticleDOI
Energy efficiency and consumption — the rebound effect — a survey
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.About:
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.read more
Citations
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Journal ArticleDOI
Designing Policies to Make Cars Greener
TL;DR: This paper reviewed what is known about the economic efficiency of fuel taxes relative to efficiency standards aimed at mitigating environmental externalities from cars and presented a simplified model of car choice that allows us to emphasize the relationships between fuel economy, other car attributes, and miles traveled.
Building sustainable societies: exploring sustainability policy and practice in the age of high consumption
TL;DR: In this article, the authors propose a method of disassembling a set of disassembly points, called DISSERTATION, which is based on disassemblage-of-dispersal.
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Rebound effects from speed and acceleration in electric and internal combustion engine cars: An empirical and conceptual investigation
TL;DR: In this paper, the authors used dynamometer test results for a plug-in electric car and an internal combustion engine (ICE) pick-up van with automatic transmission, each on the WLTP and NEDC drive cycles, representing driving styles from today and 1975 respectively.
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Peak Oil profiles through the lens of a general equilibrium assessment
TL;DR: The authors disentangles the interactions between oil production profiles, the dynamics of oil prices and growth trends through a general equilibrium model in which peak oil endogenously emerges from the interplay between the geological, technical, macroeconomic and geopolitical determinants of supply and demand under non-perfect expectations.
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Analysis of the energy efficiency potential of household lighting in Switzerland using a stock model
TL;DR: In this article, a dynamic model is developed that accounts for the change of the lighting stock per technology over time, and the authors assess the energy efficiency potential in household lighting, and develop a model to evaluate the change in lighting stock over time.
References
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Book
Economics and consumer behavior
Angus Deaton,John Muellbauer +1 more
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
Ernst R. Berndt,David O. Wood +1 more
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.