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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.
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.

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Citations
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Journal ArticleDOI

On the rebound: estimating direct rebound effects for Australian households

TL;DR: In this paper, the authors investigated the effect of the rebound effect on energy consumption in Australia and found that low-income households and households with vulnerable members have the largest rebound effects.
Dissertation

The development of energy efficiency estimation system for domestic housing by using quality function deployment approach

TL;DR: In this paper, the authors developed the Energy Efficiency Estimation System (EEES) that considered the consumer needs and used the Quality Function Deployment (QFD) approach in order to develop the system.
Journal ArticleDOI

Urban Metro Rail Demand: Evidence from Dynamic Generalized Method of Moments Estimates using Panel Data:

TL;DR: In this article, the elasticities of demand for metro services with respect to fares, income, quality of service, population and network length are estimated for 32 world metro systems covering the period from 2003 to 2011.
Posted Content

Energy Consumption and Environmental Pollution: A Stochastic Model

TL;DR: In this article, an energy-pollution economic problem using a stochastic queue framework is considered and a link between a firm's energy consuming economic activity and its effects on the pollution that it generates as a function of its activity is established.
Dissertation

Understanding the design of energy interventions to reduce end-user demand in organisational and domestic environments

Derek Foster
TL;DR: Findings are presented on the design implications and considerations that inform the design of in-the-field organisational energy interventions that integrate feedback and antecedent behaviour contingencies, and a contribution made on how aversive feedback can in fact be a useful and engaging method for the domestic environment.
References
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Book

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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