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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A social capital approach to household energy consumption
TL;DR: In this paper, the authors examined the concept of social capital in relation to household energy consumption in an eff ort to further understand social factors on energy use in the United Kingdom.
Journal ArticleDOI
An examination of losses in energy savings after the Japanese Top Runner Program
Nozomu Inoue,Shigeru Matsumoto +1 more
TL;DR: In this article, the authors used micro-level data from the National Survey of Family Income and Expenditure (NSFE) to show how energy savings have been lost after the Top Runner Program.
Reducing industrial use of fossil raw materials : techno-economic assessment of relevant cases in Northern Finland
TL;DR: In this article, the authors analyse industrial CO2 emissions from five complementary perspectives: identifying significant potential industrial plants, analysing the replacement of fossil raw materials with wood biomass, considering combining different industrial sectors, the potential of biogas as industrial raw material, and estimating the economic significance of moisture in wood fuel.
Journal ArticleDOI
Identifying the Rebound: Theoretical Issues and Empirical Evidence from a German Household Panel
TL;DR: The authors assesses the effectiveness of fuel efficiency improvements by econometrically estimating the rebound effect, describing the extent to which higher efficiency causes additional travel, using a panel of household travel diary data collected in Germany between 1997 and 2005.
Journal ArticleDOI
The life cycle environmental rebound effect of battery electric vehicles in China: a provincial level analysis
TL;DR: In China, the promotion of electric vehicles is now in full swing, which is useful for carbon emission reduction as discussed by the authors. However, the rebound effect has a negative impact on the emissions reduction.
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.