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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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Citations
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Journal ArticleDOI

A hybrid energy system model to evaluate the impact of climate policy on the manufacturing sector: Adoption of energy-efficient technologies and rebound effects

TL;DR: In this paper, a hybrid model is proposed to evaluate the impact of climate policy in Korea's manufacturing sector when rebound effects are considered, showing that the expected emissions reduction due to new technology adoption in the manufacturing sector is 23.8 million tons CO2eq without rebound effects, but when they are included, the actual emission reduction is about 50% of the expected amount.
Journal ArticleDOI

An adaptive demand response framework using price elasticity model in distribution networks

TL;DR: In this paper , an adaptive economic DR framework with its attributes via a dynamic elasticity approach to model customer's demand sensitivity is modeled through the deterministic and stochastic approaches.
Journal ArticleDOI

Linking energy efficiency indicators with policy evaluation – A combined top-down and bottom-up analysis of space heating consumption in residential buildings

TL;DR: In this paper, the authors studied the factors underlying the evolution of the energy consumption for space heating in residential buildings by linking top-down analysis, based on meso-indicators, and bottom-up analysis based on policy evaluations.
Journal ArticleDOI

Disentangling the Complex Impacts of Urban Digital Transformation and Environmental Pollution: Evidence from Smart City Pilots in China

TL;DR: Wang et al. as mentioned in this paper constructed a panel dataset of 286 prefecture-level cities in China covering the period 2006 to 2018, then applied the multi-stage difference-in-differences method to investigate the environmental benefits of smart city construction.
Book ChapterDOI

Food Waste and Agro By-Products: A Step towards Food Sustainability

TL;DR: In this paper, the main aim is to minimize deterioration and maximize utilization of food which will lead to less problems in waste management and environment pollution, which will help to reduce the shortage of world food supplies to the coming generation.
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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