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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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The impact of digital economy and industrial structure distortion on Xinjiang’s energy intensity under the goal of “double carbon”

TL;DR: Wang et al. as discussed by the authors investigated the influence of digital economy and industrial structure distortion on Xinjiang's energy intensity by using dynamic panel data model, spatial Durbin model, intermediary effect model, and panel smooth transition model.
Journal ArticleDOI

How to make energy efficiency labels more effective: Insights from discrete choice experiments in Ghana and the Philippines

TL;DR: In this paper , the effect of energy efficiency labels can be increased by appealing to immediate attitude functions, to social-adjustive benefits, and to the expression of environmental values (in Ghana and the Philippines).
Journal ArticleDOI

Trends and dynamics of material and energy flows in an urban context: a case study of a city with an emerging economy

TL;DR: In this paper, the authors presented an analysis of the energy and material flows in the city of Bogota over the time span from 2001 to 2017, and the results of the analysis are then compared with those for other selected large urban agglomerations in Latin America and worldwide to highlight similarities and make inferences.

The Role of Fiscal Incentives in Promoting Energy Efficiency in the Industrial Sector: Case Studies from Asia

TL;DR: In this article, the authors analyze the policy strategies of four Asian countries with large GHG emissions and energy efficiency (EE) strategies: the People's Republic of China (PRC), India, Indonesia, and Japan.
Book ChapterDOI

Taxation Policies for Promoting Fuel-Efficient Vehicle Ownership and Use

TL;DR: In this paper, the effects of taxation policies on promoting fuel-efficient vehicle ownership and use were evaluated by calculating changes in CO2 emissions under different taxation policies, and it was found that increasing the fuel tax is the most effective means of reducing CO 2 emissions, followed by the auto tax and weight tax collected at vehicle inspections.
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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