scispace - formally typeset
Search or ask a question
Journal ArticleDOI

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.
Citations
More filters
Journal ArticleDOI
TL;DR: In this article, the authors developed a microsimulation tool that takes into account the three predominant factors in the notion of fuel poverty, that is, household resources, energy prices and dwelling quality.

7 citations

Journal ArticleDOI
TL;DR: In this article, the authors investigated if there is evidence of diffusion of energy practices from higher to lower-income households in Mexico and found support for the argument that intensive energy practices expanded from high to lower socioeconomic groups.
Abstract: In recent decades, residential energy consumption has grown in Mexico despite high poverty levels. While inequalities in energy have been documented, less attention has been paid to practices of consumption. Particularly, we sustain that it is necessary to account for changes in associated behaviors, which shape energy use, such as the acquisition of electrical appliances. This paper analyzes if there is evidence of diffusion of energy practices from higher to lower-income households. We hypothesize that more intensive energy practices expand across groups beyond their demographic and socioeconomic characteristics. Employing a harmonized dataset of thirteen Income and Expenditure Household Surveys, we assess changes in electrical appliances and electricity consumption. Using latent class analysis, we construct energy profiles that identify underlying consumption behaviors from sociodemographic and residential characteristics. We find support for the argument that intensive energy practices expanded from high to lower socioeconomic groups. While this trend reflects improvements in living conditions in Mexico, it also highlights the environmental challenges that increasing consumption poses for sustainable development goals.

7 citations


Cites background from "Energy efficiency and consumption —..."

  • ...On one hand, a wide range of works have been concerned with explaining the persistence of energy-intensive practices while facing deterrent policies, particularly rising prices or special taxes (Greening et al. 2000), frequently resorting to explanations linked to values and household expectations....

    [...]

Journal ArticleDOI
TL;DR: In this paper, the potential effects of a decrease in tax revenues for the State in light of lower investment needs in energy generation and distribution are analyzed through an economic and financial evaluation, and it is predicted that results can be achieved if through tax exemption, the government can promote the use of more energy-efficient technologies.
Abstract: In light of Brazil׳s socio-economic development in the last 20 years, the population has greater access to consumer goods, hence impacting the escalating growth in electricity demand, thereby resulting in the need for substantial investments in electricity generation and transmission. In contrast, government institutions have not taken effective measures to increase the energy efficiency of the most impactful energy-consuming appliances, which would reduce the need for energy investments. Through econometric models, Brazil׳s residential electricity consumption was projected up to 2030 and it is predicted that results can be achieved if through tax exemption, the government can promote the use of more energy-efficient technologies. Through an economic and financial evaluation, our study analyzes the potential effects of a decrease in tax revenues for the State in light of lower investment needs in energy generation and distribution.

7 citations

Journal ArticleDOI
TL;DR: In this paper, the authors estimate the magnitude of the direct rebound effect of household electricity consumption in Taiwan using monthly time series data from January 1998 to December 2018 and to implement the artificial neural network (ANN) as an alternative approach to measure the rebound effect.
Abstract: Amid the energy reform efforts by the Taiwan government, residential energy demand continues to face an escalating trend every year. This indicates the phenomenon of the energy efficiency gap. One of the factors that control the energy efficiency gap is the rebound effect. The rebound effect is related to the increase in energy consumption through efforts to reduce the use of energy itself. This can be due to the low cost of usage that causes a person to be encouraged to use more energy. This study aims to estimate the magnitude of the direct rebound effect of household electricity consumption in Taiwan using monthly time series data from January 1998 to December 2018 and to implement the artificial neural network (ANN) as an alternative approach to measure the direct rebound effect. Based on the simulation results, the direct rebound effect magnitude for household electricity consumption in Taiwan is in the range of 11.17% to 21.95%. GDP growth is the most important input in the model. Additionally, population growth and climate change are also critical factors and have significant implications in the model.

7 citations


Cites background from "Energy efficiency and consumption —..."

  • ...From the mechanism of occurrence, the rebound effect is divided into direct rebound effects, indirect rebound effects and economy-wide (Greening et al., 2000; Wang et al., 2018)....

    [...]

01 Jan 2012
TL;DR: In this paper, a model for predicting daily mean internal temperature demand across a heterogeneous domestic building stock is developed using panel methods, which is able to predict internal temperatures across a building stock to within 0.71°C at 95% confidence.
Abstract: Using panel methods, a model for predicting daily mean internal temperature demand across a heterogeneous domestic building stock is developed. The model offers an important link that connects building stock models to human behaviour. It represents the first time a panel model has been used to estimate the dynamics of internal temperature demand from the natural daily fluctuations of external temperature combined with important behavioural, socio-demographic and building efficiency variables. The model is able to predict internal temperatures across a heterogeneous building stock to within ~0.71°C at 95% confidence and explain 45% of the variance of internal temperature between dwellings. The model confirms hypothesis from sociology and psychology that habitual behaviours are important drivers of home energy consumption. In addition, the model offers the possibility to quantify take-back (direct rebound effect) owing to increased internal temperatures from the installation of energy efficiency measures. The presence of thermostats or thermostatic radiator valves (TRV) are shown to reduce average internal temperatures, however, the use of an automatic timer is statistically insignificant. The number of occupants, household income and occupant age are all important factors that explain a proportion of internal temperature demand. Households with children or retired occupants are shown to have higher average internal temperatures than households who do not. As expected, building typology, building age, roof insulation thickness, wall U-value and the proportion of double glazing all have positive and statistically significant effects on daily mean internal temperature. In summary, the model can be used as a tool to predict internal temperatures or for making statistical inferences. However, its primary contribution offers the ability to calibrate existing building stock models to account for behaviour and socio-demographic effects making it possible to back-out more accurate predictions of domestic energy demand.

7 citations


Additional excerpts

  • ...effect (usually estimated about 20% [77,78])....

    [...]

References
More filters
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

Journal ArticleDOI
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

Journal ArticleDOI
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

Journal ArticleDOI
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