Energy efficiency and consumption — the rebound effect — a survey
TL;DR: 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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TL;DR: In this paper, the authors explore the impact of climate-centric policy making on long-term electricity mix changes and conclude that policies targeting GHG reductions might have the co-benefit of also reducing air pollution and toxicity at the expense of other important environmental performance indicators such as water depletion.
36 citations
TL;DR: In this article, the authors examined whether digitalization helps or hinders an absolute decoupling of environmental throughput from economic growth, and concluded that a more active political and societal shaping of the process of digitalization is needed to make ICT work for global environmental sustainability.
Abstract: Digitalization can increase resource and energy productivities. However, the production and usage of information and communication technologies (ICTs) require materials and energy, and the application of ICTs fosters economic growth. This paper examines whether digitalization helps or hinders an absolute decoupling of environmental throughput from economic growth. The paper combines the literature on “green IT” and “ICT for green” with studies on decoupling, i.e., the relationship between economic growth, technological change, and environmental throughput. The paper identifies several strains of the decoupling debate and connects them to the environmental implications of digitalization. We focus on the relation between digitalization and (1) the question of finite non-renewable energies, (2) the environmental Kuznets curve, (3) the role of energy consumption for economic growth, (4) efficiency improvements vis-a-vis rebound effects, and (5) the role of general purpose technologies for resource and energy demand. We find that the empirical basis regarding digitalization’s relation to these four aspects is still weak and hence, further research is needed. Comparing the mitigating and the aggravating impacts of digitalization, we conclude that a more active political and societal shaping of the process of digitalization is needed to make ICT work for global environmental sustainability.
36 citations
TL;DR: In this article, the authors examine the dichotomies and symmetries between supply-and demand-side solutions to energy security concerns and review opportunities to overcome barriers to improved consumer efficiency.
36 citations
TL;DR: In this paper, a spatial computable general equilibrium (CGE) model of the Chicago MSA is used to understand how gasoline use, car-VMT, on-the-road fuel intensity, trips and location patterns, housing, labor and product markets respond to a gas price increase.
Abstract: RELU-TRAN2, a spatial computable general equilibrium (CGE) model of the Chicago MSA is used to understand how gasoline use, car-VMT, on-the-road fuel intensity, trips and location patterns, housing, labor and product markets respond to a gas price increase. We find a long-run elasticity of gasoline demand (with congestion endogenous) of −0.081, keeping constant car prices and the TFI (technological fuel intensity) of car types but allowing consumers to choose from car types. 43% of this long run elasticity is from switching to transit; 15% from trip, car-type and location choice; 38% from price, wage and rent equilibration, and 4% from building stock changes. 79% of the long run elasticity is from changes in car-VMT (the extensive margin) and 21% from savings in gasoline per mile (the intensive margin); with 83% of this intensive margin from changes in congestion and 17% from the substitution in favor of lower TFI. An exogenous trend-line improvement of the TFI of the car-types available for choice raises the long-run response to a percent increase in the gas price from −0.081 to −0.251. Thus, only 1/3 of the long-run response to the gas price stems from consumer choices and 2/3 from progress in fuel intensity. From 2000 to 2007, real gas prices rose 53.7%, the average car fuel intensity improved 2.7% and car prices fell 20%. The model predicts that from these changes alone, keeping constant population, income, etc. aggregate gasoline use in this period would have fallen by 5.2%.
36 citations
TL;DR: In this article, the authors show that there is a significant correlation between the number of energy efficiency measures adopted and the greatest household reduction in electricity usage, and the connection between the effective use of measures, coincident behavioural change or increased energy awareness and greater energy reduction is discussed.
35 citations
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Book•
01 Jan 1980
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.
Abstract: This classic text has introduced generations of students to the economic theory of consumer behaviour. Written by 2015 Nobel Laureate Angus Deaton and John Muellbauer, the book begins with a self-contained presentation of the basic theory and its use in applied econometrics. These early chapters also include elementary extensions of the theory to labour supply, durable goods, the consumption function, and rationing. The rest of the book is divided into three parts. In the first of these the authors discuss restrictions on choice and aggregation problems. The next part consists of chapters on consumer index numbers; household characteristics, demand, and household welfare comparisons; and social welfare and inequality. The last part extends the coverage of consumer behaviour to include the quality of goods and household production theory, labour supply and human capital theory, the consumption function and intertemporal choice, the demand for durable goods, and choice under uncertainty.
3,952 citations
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.
Abstract: Industrial demand for energy is essentially a derived demand: the firm's demand for energy is an input is derived from demand for the firm's output. Inputs other than energy typically also enter the firm's production process. Since firms tend to choose that bundle of inputs which minimized the total cost of producing a giving level of output, the derived demand for inputs, including energy, depends on the level of output, the submitions possibilies among inputs allow by production technology, and the relative prices of all inputs.
1,422 citations
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.
Abstract: This article presents a model of individual behavior in the purchase and utilization of energy-using durables. The tradeoff between capital costs for more energy efficient appliances and operating costs for the appliances is emphasized. Using data on both the purchase and utilization of room air conditioners, the model is applied to a sample of households. The utilization equation indicates a relatively low price elasticity. The purchase equation, based on a discrete choice model, demonstrates that individuals do trade off capital costs and expected operating costs. The results also show that individuals use a discount rate of about 20 percent in making the tradeoff decision and that the discount rate varies inversely with income.
1,361 citations
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.
Abstract: Regulations which mandate appliance efficiency standards may be based on calculations which exaggerate the potential energy savings. Improved efficiency can, in fact, increase demand enough to be counterproductive unless the standards are applied selectively. As appliances improve, they are used more, new stock is demanded, and the demand for and use of related equipment increases. The policy implications of these empirical studies are 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. 11 references, 5 figures, 2 tables. (DCK)
802 citations
Posted Content•
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.
Abstract: This book addresses two significant research areas in an interdependent fashion. It is first of all a comprehensive but concise text that covers the recently developed and widely applicable methods of qualitative choice analysis, illustrating the general theory through simulation models of automobile demand and use. It is also a detailed study of automobile demand and use, presenting forecasts based on these powerful new techniques. The book develops the general principles that underlie qualitative choice models that are now being applied in numerous fields in addition to transportation, such as housing, labor, energy, communications, and criminology. The general form, derivation, and estimation of qualitative choice models are explained, and the major models - logit, probit, and GEV - are discussed in detail. And continuous/discrete models are introduced. In these, qualitative choice methods and standard regression techniques are combined to analyze situations that neither alone can accurately forecast. Summarizing previous research on auto demand, the book shows how qualitative choice methods can be used by applying them to specific auto-related decisions as the aggregate of individuals' choices. The simulation model that is constructed is a significant improvement over older models, and should prove more useful to agencies and organizations requiring accurate forecasting of auto demand and use for planning and policy development. The book concludes with an actual case study based on a model designed for the investigations of the California Energy Commission.
726 citations