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: It is argued that the policy problem should be considered one of ‘warmth and energy deprivation’, accompanied by a broader interpretation of vulnerability to as well as from fuel poverty.
54 citations
TL;DR: In this paper, a static, multisector computable general equilibrium model (CGE) for China was developed, with specific detail in energy use and with the embodiment of energy efficiency.
Abstract: With its rapid economic growth, China is now confronted with soaring pressure from both its energy supply and the environment. To deal with this conflict, energy end-use efficiency improvement is now promoted by the government as an emphasis for future energy saving. This study explores the general equilibrium effect of energy end-use efficiency improvement on China’s economy, energy use, and CO2 emissions. This paper develops a static, multisector computable general equilibrium model (CGE) for China, with specific detail in energy use and with the embodiment of energy efficiency. In order to explore the ability of subsidizing non-fossil-generated electricity on moderating potential rebound effects, in this model, the electricity sector was deconstructed into five specific generation activities using bottom–up data from the Chinese electricity industry. The model is calibrated into a 16-sector Chinese Social Accounting Matrix for the year 2002. In the analysis, seven scenarios were established: business as usual, solely efficiency improvement, and five policy scenarios (taxing carbon, subsidized hydropower, subsidized nuclear power, combination of taxing carbon and subsidized hydropower, combination of taxing carbon and subsidized nuclear power). Results show that a sectoral-uniform improvement of energy end-use efficiency will increase rather than decrease the total energy consumption and CO2 emissions. The sensitivity analysis of sectoral efficiency improvement shows that efficiency improvements happened in different sectors may have obvious different extents of rebound. The three sectors, whose efficient improvements do not drive-up total national energy use and CO2 emissions, include Iron and Steel, Building Materials, and Construction. Thus, the improvement of energy end-use efficiency should be sectoral specific. When differentiating the sectoral energy-saving goal, not only the saving potential of each sector but also its potential to ease the total rebound should be taken into account. Moreover, since the potential efficiency improvement for a sector over a certain period will be limited, technology measures should work along with a specific policy to neutralize the rebound effect. Results of policy analysis show that one relatively enhanced way is to combine carbon taxing with subsidized hydropower.
54 citations
Cites background from "Energy efficiency and consumption —..."
... Greening et al. (2000) conclude that the magnitude of rebound effects would be small....
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...Several current research focus on the potential rebound effect accompanying energy efficiency improvement (Khazzoom 1980; Brookes 1990; Berkhout et al. 2000; Saunders 2000; Greening et al. 2000 ; B inswanger2001 ;H erring2006; Brannlund et al. 2007 ;G reene et al.1999)....
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TL;DR: In this paper, the Behavioural Design Process (BDP) is proposed to support designers in realising behaviour change projects, and 20 design projects from a case company are analyzed in order to distil a core process for behavioural design.
54 citations
TL;DR: In this paper, the authors analyzed the impact of different criteria such as location, income and size on household carbon footprints in Germany and demonstrate how impact of GHG mitigation opportunities varies for different population segments.
Abstract: Households are either directly or indirectly responsible for the highest share of global anthropogenic greenhouse gas emissions. Hence, programs helping to improve human consumption habits have been identified as a comparatively cost-effective way to reduce household emissions significantly. Recently, various studies have determined strong regional differences in household carbon footprints, yet a case study for Germany has not been conducted. Local information and policies directed at household consumption in Germany thus devoid of any foundation. In this paper, we analyze the impact of different criteria such as location, income and size on household carbon footprints in Germany and demonstrate how the impact of GHG mitigation opportunities varies for different population segments. We use a multi-region input output hybrid LCA approach to developing a regionalized household carbon footprint calculator for Germany that considers 16 sub-national regions, 15 different household sizes, and eight different income and age categories. The model reveals substantial regional differences in magnitude and composition of household carbon footprints, essentially influenced by two criteria: income and size. The highest income household is found to emit 4.25 times as much CO2e than the lowest. We identify indirect emissions from consumption as the largest share of household carbon footprints, although this is subject to fluctuation based on household type. Due primarily to local differences in vehicle availability, income and nutrition, an average household in Baden-Wuerttemberg is found to have 25 % higher carbon footprint than its Mecklenburg-West Pomeranian counterpart. Based on the results of this study, we discuss policy options for household carbon mitigation in Germany.
54 citations
Cites background from "Energy efficiency and consumption —..."
...However, cost-effective emission reductions may be subject to the rebound effect (Greening et al. 2000; Sorrell and Dimitropoulos 2008; Berkhout et al. 2000; Birol and Keppler 2000; Hertwich 2005)....
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TL;DR: Wang et al. as discussed by the authors used the LMDI method and the total factor productivity model (to calculate parameters) to estimate the size of the rebound effect in China's nonferrous metals industry over the period 1985-2014.
54 citations
References
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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