Showing papers on "Rebound effect (conservation) published in 2019"
TL;DR: In this article, an inverted U-shaped relationship between energy technological progress and carbon emissions is detected, and turning points are found in both the direct effect and the technical effect of China's energy technology progress.
136 citations
TL;DR: In this paper, the authors present a framework for assessing rebound effects from future innovations in agricultural land and soil management, where multiple resources are used simultaneously and efficiency gains aim to lower the need for farmland, water, energy, nutrients, pesticides, and greenhouse gas emissions.
84 citations
TL;DR: Zhang et al. as mentioned in this paper investigated the existence of energy intensity convergence while incorporating foreign direct investment (FDI) and found that the spillover effect of FDI plays an important role in this formation.
82 citations
TL;DR: Wang et al. as mentioned in this paper explored the impacts of marketization on energy rebound effect and found that about 20% of originally expected energy conservation from energy efficiency improvement would be rebounded in 2013.
75 citations
TL;DR: In this article, a multi-stage game model using the Bertrand model was proposed to solve the problem of residential energy efficiency program for new energy-efficient appliances and related energy consumption, simultaneously, in a sustainable supply chain consisting of the energy supplier, manufacturer, and the government.
72 citations
TL;DR: In this paper, the authors developed an improved approach incorporating energy efficiency to estimate the demand elasticity of useful energy service with respect to energy service price and decompose the direct rebound effect into substitution and output channels, enabling them to further understand the microeconomic mechanisms.
66 citations
TL;DR: The residential electricity demand in Taiwan was investigated using survey data of 7677 households between 2014 and 2017 as mentioned in this paper, and right-skewed regression models were employed to study key determinants affecting the household and appliance-specific electricity consumption.
61 citations
TL;DR: Wang et al. as discussed by the authors used the state space model with time-varying parameters and based on the IPAT identity and the Solow residual approach to present a specific estimation on Shanghai's energy rebound effect caused by technological progress.
59 citations
TL;DR: In this paper, the authors provide the first empirical evidence of residential solar rebound effects in the U.S. using household level hourly and daily electricity meter data as well as hourly solar panel electricity generation data from 277 solar homes and about 4000 non-solar homes from 2013 to 2017 in Phoenix Arizona.
54 citations
TL;DR: In this paper, a D-vine copula-based quantile regression model was used to analyze the entire distribution of heating energy consumption for individual building characteristics, which revealed the following exemplary insights: the rebound effect exhibits cyclical behavior and significantly varies across quantiles.
51 citations
TL;DR: In this article, the authors proposed a method starting from a general form of production function to identify properties of and analyze key drivers behind the rebound effect of energy intensity on energy use.
Abstract: Energy is one of essential productive resources in economic activities and its efficiency improvement is taken one of the key measures for energy conservation to promote economic growth as well as reduce air pollution. Several large energy consumption regions such as China, India, and Europe have set targets on lowering energy intensity - physical energy use per unit economic output - widely accepted as an indicator of energy efficiency. One percent reduction in energy intensity is expected to conserve one percent physical energy use from an engineer’s perspective. However, the reduction in energy intensity would probably stimulate economic growth and result in more “unexpected” energy use, namely rebound effect on energy use. To convey the rebound effect consequences to policy makers, business managers, engineers, researchers and other stakeholders who take energy intensity an indicator of energy efficiency and a measure for energy conservation, the present article offers a method starting from a general form of production function to identify properties of and analyze key drivers behind the rebound effect. Different from the strict definition of rebound effect in energy economics, where energy efficiency is narrowly defined as energy-augmented or energy-specific technological change, measurable partial rebound effect of energy intensity reduction would be the most preferred output for a policy maker who pursues targets of both economic growth and energy conservation. We have also presented empirical results for 40 regions for illustration.
TL;DR: In this article, the authors identify a rebound effect that they term "symbiotic rebound" and differentiate it from other forms of rebound effect on the basis of its main driver: Opportunity costs drive a higher than expected use of resources in a circular economy, rather than the usual driver of "demand" as found in other types of rebound.
TL;DR: In this paper, the authors developed a microeconomic model of vehicle miles traveled (VMT) choice under income and time constraints; then they used it to estimate elasticities of VMT demand with respect to fuel and time costs, with fuel cost data from the 2017 United States National Household Travel Survey (NHTS) and wage-derived predictions of travel time cost.
TL;DR: In this article, a new approach to estimating the macroeconomic growth energy rebound effect is presented, which considers other factors of production, such as energy supply, capital stocks, and labor force.
TL;DR: In this paper, the authors investigated how and to what extent changes in user behavior may mitigate the environmental benefits of urban ridesharing, a phenomenon commonly referred to as ''rebound effect?''.
Abstract: This paper investigates how and to what extent changes in user behavior may mitigate the environmental benefits of urban ridesharing, a phenomenon commonly referred to as ?rebound effect?. Ridesharing reduces both the individual cost of car travel (through cost splitting) and road travel times (by decreasing congestion). This may trigger a number of behavioral changes among transportation users, including: making less detours to avoid congestion (route choice effect), switching from public transit and active modes to the car, as a ridesharer or as a solo-driver even (modal shift effect), travelling longer distances (distance effect), and relocating further from the urban center (relocation effect). Taking Paris region as a case study, this research applies an integrated transportation/land-use model to evaluate several ridesharing scenarios and quantify the four rebound effects. The overall rebound effect is found to be substantial, cancelling out from 68 to 77% of CO2 emission reductions and from 52 to 73% of aggregated social benefits (including congestion, air quality...) expected from ridesharing. This is primarily the result of the modal shift effect, supplemented as ridesharing develops by the distance effect. Although the simplified representation of ridesharing in the baseline model calls for caution regarding these estimates, a sensitivity analysis corroborates the main findings and the prevalence of substantial rebound effects. The paper also investigates to what extent three complementary policies - improving public transit, reducing road capacity or increasing the cost of car travel - might limit the overall rebound effect and thereby maximize the benefits of urban ridesharing.
TL;DR: The prospect for electric vehicles as a climate change solution hinges on their ability to reduce gasoline consumption as mentioned in this paper. But this depends on how many miles electric vehicles are driven and on how ma...
Abstract: The prospect for electric vehicles as a climate change solution hinges on their ability to reduce gasoline consumption. But this depends on how many miles electric vehicles are driven and on how ma...
TL;DR: In this article, the effect of residential energy prosuming on households' energy consumption behavior with the objective of finding evidence of a 'prosumer rebound effect' on energy consumption was discussed.
TL;DR: In this article, the authors developed a method for estimating the rebound effect for residential rooftop photovoltaic (PV) systems based on economic and geographic information systems modeling, which is illustrated through a numerical example, using neighborhood-level data from Fulton County, Georgia, USA.
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TL;DR: The authors reviewed the state-of-the-art and common practice of energy and climate modeling vis-a-vis the rebound literature, in particular regarding how macroeconomic energy models quantify and include energy and greenhouse gas rebound effects, and argued that the rebound effect is a phenomenon that requires a sound understanding of the complex interactions from different dimensions (e.g. aggregation level, heterogeneity, climate, energy conservation and economic growth).
Abstract: In this paper, we review the state-of-the-art and common practice of energy and climate modeling vis-a-vis the rebound literature, in particular regarding how macroeconomic energy and climate models quantify and include energy and greenhouse gas rebound effects. First, we focus on rebound effects in models of costless energy efficiency improvement that hold other attributes constant (zero-cost breakthrough), and an energy efficiency policy that may be bundled with other product changes that affect energy use (policy-induced efficiency improvement) (Gillingham et al. 2015). Second, we examine macroeconomic studies focusing on energy efficiency both in industry and in private households. Third, we go through a general theoretical revision from micro- to macroeconomic levels (the aggregation level) to include a review of the so-called meso-level studies (focused on the analysis of the production side). From 118 recent studies along the aggregation level, out of which 25 compute rebound calculations, we find that the average energy rebound effect is 58% with a standard deviation of 58%, and when we include green house gas rebound calculations, the magnitude is of the order of 43% with a standard deviation of 55%. Finally, we argue that the rebound effect is a phenomenon that requires a sound understanding of the complex interactions from different dimensions (e.g. aggregation level, heterogeneity, climate, energy conservation and economic growth), and we provide some ideas and motivations for future research.
TL;DR: In this paper, a two-stage Almost Ideal Demand System (AIDS) model was used to quantify the rebound effect of carbon tax on personal travel in China's passenger transportation sector.
TL;DR: In this article, the authors investigated whether technological improvement might also reduce behaviorally motivated mitigation of environmental damage, and they found evidence consistent with moral licensing, which is strongest among subjects with a higher degree of pro-environmental attitudes and beliefs.
TL;DR: In this paper, the authors empirically examined the factors influencing consumers' choices concerning the purchase of hybrid electric vehicles (HEVs), and investigated whether purchasing HEVs causes a rebound effect through which purchasers of HEVs increase their annual vehicle mileage.
TL;DR: In this article, an LED replacement lamps program is proposed to increase the diffusion of energy efficient lighting, where free of charge LED lamps are suggested to be distributed to households by government to reduce household electricity demand.
TL;DR: In this paper, the authors assess the effects of improving water resources productivity in Spain on the global use of water using a dynamic water-economy computable general equilibrium model and find that the economy-wide water rebound effect is 100.47%.
Abstract: Governments stimulate efficiency measures to save water resources, particularly in areas with high water stress and those that experience droughts. However, economic theory and some empirical studies tell us that the effects of efficiency improvements of a resource may not lead to a global reduction in the use of that resource. We assess the effects of improving water resources productivity in Spain on the global use of water using a dynamic water-economy computable general equilibrium model. We set an overall annual improvement of water efficiency of 50% and find that the economy-wide water rebound effect is 100.47%. This means that there are no savings of water after an efficiency improvement, and there is actually a slight global increase in water use.
TL;DR: In this paper, the authors explored whether the changes in energy intensity in Spain have led to improvements in the energy consumption levels or to a backfire effect offsetting the expected decrease.
TL;DR: In this article, the impact and rebound behaviors of workpiece in micro-scale laser dynamic flexible forming (μLDFF) with rubber medium were investigated to probe the main affecting factors of rebound effect, and a new μLDFF with plasticine medium was proposed to reduce the rebound effect.
Abstract: Micro-scale laser dynamic flexible forming (μLDFF) is a new kind of high velocity forming (HVF) process, which uses laser shock wave pressure to realize thin metal sheets micro-forming. Rebound effect usually occurs when forming deep complex micro-features, which has a significant effect on the forming precision. This work firstly investigates the impact and rebound behaviors of workpiece in μLDFF with rubber medium to probe the main affecting factors of rebound effect, then proposes a new μLDFF with plasticine medium to reduce the rebound effect. With the increase of laser energy, the average surface roughness of impact-affected zone (IAZ) reduces firstly by flattening behavior, and then increases afterward due to coining-like operation. The 3D deviation analyses between workpieces and micro-die are performed to characterize the fitability. When laser energy is 675 mJ, bottom region of workpiece fits well with the micro-die. When laser energy is increased to 1020 mJ, bottom region of workpiece separates from the micro-die due to rebound effect. A finite element model considering the machining marks on micro-die surface is built, and the predicted results are validated by experimental results. Coefficient of restitution (COR) and the rebound ratio (α) are used to investigate the impact and rebound process. The results show that rebound effect is dominated by laser energy, surface morphology of micro-die, and loading duration. To effectively reduce the rebound effect, the plasticine layer is first introduced as pressure-carrying medium in this work. The deformation behavior of plasticine medium is like a Reiner-Rivlin fluid. So the plasticine medium closely contacts with the sample during forming, this is equivalent to indirectly increasing the stiffness of sample and prolonging the loading duration. In addition, the plasticine layer can absorb impact-induced reflection wave. So plasticine medium can effectively improve the forming precision.
TL;DR: Though linear approximations of optimal power flow models as potential re-dispatch mechanisms are more computationally efficient, they can result in a different dispatch of the asymmetric blocks than an exact convex relaxation of an AC-OPF model, and therefore, must be used with caution.
Abstract: In current practice, the day-ahead market-clearing outcomes are not necessarily feasible for distribution networks, i.e., the network constraints might not be satisfied. Hence, the distribution system operator may consider an ex-post re-dispatch mechanism, exploiting potential flexibility of local distributed energy resources including demand response (DR) units. Many DR units have an inherent “rebound effect,” meaning a decrease in power demand (response) must be followed by an increase (rebound) or vice versa, due to their underlying physical properties. A naive re-dispatch mechanism relying on DR units with non-negligible rebound effect may fail, since those units may cause another congestion in the rebound period. We propose a mechanism, which models the rebound effect of DR units using asymmetric block offers—this way, those units offer their flexibility using two subsequent blocks (response and rebound), each one representing the load decrease/increase in a time period. We demonstrate that though linear approximations of optimal power flow (OPF) models as potential re-dispatch mechanisms are more computationally efficient, they can result in a different dispatch of the asymmetric blocks than an exact convex relaxation of an AC-OPF model, and therefore, must be used with caution.
TL;DR: In this article, the authors investigated whether Japanese fuel economy standards and the financial incentives given to consumers of fuel-efficient cars contributed to energy rebound effect, by enabling higher fuel consumption at lower costs and thus causing higher energy usages.
TL;DR: Wang et al. as mentioned in this paper established three elements of the neoclassical production function to calculate the contribution rate of technological progress on economic growth, and calculated China's energy rebound effect over the past 20 years from the perspective of technological advancement.
Abstract: Energy issues are the focus of global concern, and estimations of the energy rebound effect are very important for energy policy. Existing research has proved the existence of the energy rebound effect. This paper, based on the estimation of China’s capital stock in 1952, establishes three elements of the neoclassical production function to calculate the contribution rate of technological progress on economic growth. It then calculates China’s energy rebound effect over the past 20 years from the perspective of technological progress. The research results show that though China’s energy intensity has been declining from 1994 to 2017, the energy rebound effect each year is obviously different, with an average level of 54.4%. Technological progress leads to the improvement of energy efficiency, which reduces energy consumption, but the rebound effect makes energy savings less effective than expected. This paper proved the Granger causality between energy structure adjustment and the rebound effect. And the increase of coal consumption will enhance the rebound effect. So, upgrading the structure of energy consumption is considered helpful to reduce the energy rebound effect, which can promote energy conservation and emission reduction.
TL;DR: In this article, the authors analyzed the estimated emissions rebound of carbon dioxide and criteria pollutants sulfur dioxide (SO2) and nitrogen oxides (NOX ), using results from the EPA's power sector model, under the ACE in 2030 at model coal plants and at the state and national levels compared to both no policy and the CPP.
Abstract: The Affordable Clean Energy (ACE) rule, the US Environmental Protection Agency's (EPA) proposed replacement of the Clean Power Plan (CPP), targets heat rate improvements (HRIs) at individual coal plants in the US. Due to greater plant efficiency, such HRIs could lead to increased generation and emissions, known as an emissions rebound effect. The EPA Regulatory Impact Analysis for the ACE and other analyses to date have not quantified the magnitude and extent of an emissions rebound. We analyze the estimated emissions rebound of carbon dioxide (CO2) and criteria pollutants sulfur dioxide (SO2) and nitrogen oxides (NOX ), using results from the EPA's power sector model, under the ACE in 2030 at model coal plants and at the state and national levels compared to both no policy and the CPP. We decompose emissions changes under a central illustrative ACE scenario and find evidence of a state-level rebound effect. Although the ACE reduces the emissions intensity of coal plants, it is expected to increase the number of operating coal plants and amount of coal-fired electricity generation, with 28% of model plants showing higher CO2 emissions in 2030 compared to no policy. As a result, the ACE only modestly reduces national power sector CO2 emissions and increases CO2 emissions by up to 8.7% in 18 states plus the District of Columbia in 2030 compared to no policy. We also find that the ACE increases SO2 and NOX emissions in 19 states and 20 states plus DC, respectively, in 2030 compared to no policy, with implications for air quality and public health. We compare our findings to other model years, additional EPA ACE scenarios, and other modeling results for similar policies, finding similar outcomes. Our results demonstrate the importance of considering the emissions rebound effect and its effect on sub-national emissions outcomes in evaluating the ACE and similar policies targeting HRIs.