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Showing papers on "Rebound effect (conservation) published in 2022"


Journal ArticleDOI
TL;DR: In this article , the authors proposed a conceptual framework which brings together the main characteristics and mechanisms (incl. the initiating, developer, and mitigating mechanisms) of a rebound effect in the circular economy context.

42 citations


Journal ArticleDOI
01 Jan 2022-Energy
TL;DR: In this article, the authors employ a slack-based version of the Malmquist-Luenberger index to measure and decompose technological progress to determine the role of spatial correlation in determining regional energy consumption.

38 citations


Journal ArticleDOI
01 Jan 2022-Energy
TL;DR: Wang et al. as mentioned in this paper employed a slack-based version of the Malmquist-Luenberger index to measure and decompose technological progress, and a dynamic spatial panel model was applied to account for spatial correlation and explore technological progress from this decomposition perspective.

36 citations


Journal ArticleDOI
TL;DR: In this paper, a non-parametric framework for the impact of endogenous total factor productivity (TFP) on rebound effect (RE) was developed. But the authors only considered the impact mechanism of endogenous TFP on the rebound effect in 34 industrial sub-sectors.

29 citations


Journal ArticleDOI
TL;DR: In this paper , the authors quantified lifestyle and urban household's consumption impacts upon carbon emissions from the indirect CO 2 emissions aspect and uses the structural decomposition method to analyze the factors influencing the growth of indirect CO2 emissions from 2007 to 2012.

15 citations


Journal ArticleDOI
TL;DR: In this paper , a cross-region cross-industry panel dataset in China was used to investigate the rebound effect of energy efficiency induced by information and communication technology (ICT) by using the LASSO method for variable selection and the static panel model of double fixed effects.

14 citations


Journal ArticleDOI
TL;DR: In this paper , a re-spending model was used to assess the indirect impact of energy efficiency improvements on the overall rebound effect in 14 productive sectors in Spain for the 2000-2014 period.

12 citations


Journal ArticleDOI
TL;DR: In this article, a re-spending model was used to assess the indirect impact of energy efficiency improvements on the overall rebound effect in 14 productive sectors in Spain for the 2000-2014 period.

12 citations


Journal ArticleDOI
Maria Milbert1
TL;DR: Based on the idea of learning by doing, the authors constructed a rebound effect model under the framework of endogenous growth theory and used the nonlinear least squares method to measure the rebound effect of the transportation sector of 30 Chinese provinces from 2003 to 2017.

12 citations


Journal ArticleDOI
15 Jan 2022-Energy
TL;DR: In this paper, the authors used a stochastic frontier model to estimate the direct electricity rebound effect in China's 30 provinces, and explored its driving factors during the period of 2009-2018.

11 citations


Journal ArticleDOI
TL;DR: In this article , a comprehensive analysis framework incorporating elastic estimates, environmentally extended multi-regional input-output model and re-spending model, was built, following which a simulation of direct and indirect carbon rebound effects was conducted for urban households in China.

Journal ArticleDOI
01 Jan 2022-Energy
TL;DR: In this article , the authors used a stochastic frontier model to estimate the direct electricity rebound effect in China's 30 provinces, and explored its driving factors during the period of 2009-2018.

Journal ArticleDOI
15 Jan 2022-Energy
TL;DR: In this paper, the spatial independent variable lag model (SLX) and structural decomposition analysis (SDA) methods were integrated to detect province-level consumption-based energy changes induced by five driving factors, and due consideration was also given to interregional spillover effects from both static and dynamic perspectives.

Journal ArticleDOI
01 Jan 2022-Energy
TL;DR: In this article , the spatial independent variable lag model (SLX) and structural decomposition analysis (SDA) methods were integrated to detect province-level consumption-based energy changes induced by five driving factors, and due consideration was also given to interregional spillover effects from both static and dynamic perspectives.

Journal ArticleDOI
01 Jul 2022
TL;DR: In this article , a systematic review of the energy rebound effect studies is presented, focusing on the main fields of research and identifying the emerging trends of energy rebound effects in the literature.
Abstract: This systematic review scrutinizes the forty-one-year history of the energy rebound effect studies, specifies the main fields of research, and identifies the emerging trends of study. It categorizes all the reviewed studies into two classes, namely microeconomic and macroeconomic and each of them is partitioned into five subsections based on the approach undertaken to analyse or estimate the energy rebound effect. Although many aspects of the microeconomic rebound effect have been clarified, the domain of studies should be broadened, new durables should be studied, and the economic structure of developing countries should be taken into account. At the macroeconomic level, a few empirical studies have been conducted and no comprehensive theoretical foundation is available yet. Enlightening the macroeconomic aspect of the rebound effect, specifying the sources and the methods to analyse and estimate the exact size of the effect can be considered as a baseline for future studies. Using two bibliometric packages helps us to distinguish the most influential publications and authors over the years and shed light on the new streams of study. The study reveals that the number of annual scientific productions exploded after the Kyoto protocol was implemented and the urgency to act was highlighted.

Journal ArticleDOI
TL;DR: In this paper , a dynamic spatial Durbin model was constructed to explore the impact of logistics technological innovation on carbon emissions, and determine whether there is a rebound effect, and its spatial-temporal characteristics were analyzed.

Journal ArticleDOI
01 Aug 2022
TL;DR: In this article , the authors empirically estimated a ten-year rebound following ongoing policy measures targeting consumers in Israel, in a research setting highly suitable for disentangling the complex effects affecting distance traveled and the demand for energy efficiency of cars.
Abstract: Regulating the production and incentivizing the purchase of energy-efficient cars has long been a primary policy recommendation to curb the world's ever-increasing energy usage. However, as cars become increasingly energy efficient, the cost of using them decreases, and cheaper usage costs provide a strong economic motivation to increase the usage of these cars. A rich body of literature examining this ‘rebound effect’ under the fuel efficiency standards regulating manufacturers (e.g., CAFE) has largely concluded that the effect diminishes over time. However, research on policies targeting consumers remains limited, and the magnitude and trend over time of a rebound associated with such policies remain unclear. We empirically estimated a ten-year rebound following ongoing policy measures targeting consumers in Israel, in a research setting highly suitable for disentangling the complex effects affecting distance traveled and the demand for energy efficiency of cars. The empirical results indicated a fairly large rebound effect of 62% emerging shortly after the initial introduction of the policy. Unexpectedly, this rebound effect gradually intensified over time, reaching the point at which all potential energy savings were lost to increased driving.

Journal ArticleDOI
01 Apr 2022-Energy
TL;DR: Li et al. as discussed by the authors assessed 30 provinces in China from 2001 to 2017 and analyzed the relationship between the heterogeneous technological progress rates and energy productivity of China's industrial sector using elasticity analysis.

Journal ArticleDOI
01 Aug 2022-Energy
TL;DR: In this article , the authors studied the energy rebound effect of various industries in China, and found that the energy indirect rebound effect is much higher than direct energy rebound effects in most sectors; the higher energy efficiency, the lower direct energy rebounding effect; and the higher forward linkage degree of industry, the greater indirect rebound effects of energy.

Journal ArticleDOI
TL;DR: In this paper , the authors show how a more complex policy strategy, with coordinated measures, could provide the desired results by offsetting energy and carbon rebound effects, and separately implement five different policies: carbon taxes, energy production taxes, an emissions trading system, and changes in consumption patterns (away from energy and toward services consumption).
Abstract: Promoting energy efficiency is generally assumed to be an effective strategy to reduce energy use and tackle climate change. However, an extensive literature has shown that rebound effects reduce its effectiveness and can even be counterproductive. We show how a more complex policy strategy, with coordinated measures, could provide the desired results by offsetting energy and carbon rebound effects. Along with the energy-efficiency improvement, we separately implement five different policies: carbon taxes, energy production taxes, an emissions trading system, and changes in consumption patterns (away from energy and toward services consumption). These policies are assessed using an economy–energy–environment dynamic Computable General Equilibrium (CGE) model developed for Catalonia, and compared in economic, energy, and environmental terms. The simulations show that all the strategies tested are able to offset rebounds at a low cost, with a proper design. All of them improve GDP in relation to the no-efficiency improvement base case. If tax revenues from the parallel policies are used to encourage investment, the long-term effect on GDP may even be positive.

Journal ArticleDOI
01 Jan 2022-Energy
TL;DR: In this article , the impact of urbanization on the direct rebound effect was investigated in 30 Chinese provinces, and the results showed that the magnitude of the effect is much smaller in urban areas than that in rural areas.

Journal ArticleDOI
TL;DR: In this article , the authors measured the impact of ICT, its potential benefit, and environmental factors on household electricity demand in Taiwan and found that ICT has a higher potential to reduce electricity demand.
Abstract: The global rise in energy consumption makes managing energy demands a priority. Here, the potential of Information and Communication Technology (ICT) in controlling energy consumption is still debated. Within this context, the main objective of the current study is to measure the impact of ICT, its potential benefit, and environmental factors on household electricity demand in Taiwan. A panel of data from 20 cities in Taiwan was collected during the period 2004–2018. We adopted PMG estimation and applied the DH-causality test for analysis. The estimation results show that ICT, carbon emissions, and climate change will drive household electricity demand in Taiwan in the long term. However, ICT has a higher potential to reduce electricity demand in the short-term period. In addition, the results of the causality test reveal a two-way interrelationship between ICT and electricity demand. Our study also found that climate change indirectly affects the use of electricity through household appliances. We also presented several policy implications at the end of this paper.

Journal ArticleDOI
TL;DR: Wang et al. as mentioned in this paper used the Shephard energy distance function to measure energy efficiency and analyzed the effect of marketization on the rebound effect with the threshold model, concluding that the mining sector's average rebound effect is 46.4%.

Journal ArticleDOI
TL;DR: In this paper , the authors use a Structural Factor-Augmented Vector Autoregressive model (S-FAVAR) to track how energy use changes in response to an energy efficiency improvement while accounting for a vast range of potential confounders.

Journal ArticleDOI
TL;DR: Wang et al. as mentioned in this paper explored the direct CO 2 rebound effect (CRE) in urban households at the provincial level and proposed an elasticity approach and constructed an individual fixed-effect variable coefficient panel data model.
Abstract: Investing in energy efficiency is considered to be an effective way to reduce the carbon emissions. However, the resulting CO 2 savings may be partially or totally offset by the rebound effect (RE). This paper goes beyond the traditional energy RE to investigate the rebound effect as related to CO 2 emissions, aims to explore the direct CO 2 rebound effect (CRE) in urban households at the provincial level. To achieve the objective, this study uses IPCC carbon emissions accounting method, then proposes an elasticity approach and constructs an individual fixed-effect variable coefficient panel data model. The results show that the total CO 2 emissions from household energy consumption were rising in most provinces during 2002–2017. The purchased electricity and heat CO 2 emissions are growing faster than combustion CO 2 emissions. Regarding the magnitude of the CRE, there are three types of direct CRE among urban households in China: the backfire effect, partial rebound effect and super conservation effect. Overall, the average direct CRE in urban households is 59.90%; specifically, the western region has the highest direct CRE (90.92%), compared with the eastern region (52.84%) and central region (24.88%). The government should take into account the CRE of households, in order to avoid overestimating the carbon reduction. Attention should also be paid to the differences between provinces when formulating energy policies. The analysis above helps local governments to formulate effective energy policies to promote households’ carbon emission reduction. • This paper proposes an elasticity method for estimating CO 2 rebound effect. • The carbon emissions from household energy consumption are calculated. • There are three types of direct CO 2 rebound effect among urban households in China. • The average direct CO 2 rebound effect in urban households is 59.9%.

Journal ArticleDOI
TL;DR: In this article , the authors analyzed an official micro-level data set in the German manufacturing sector, with information on more than 16,000 firms, and they found that a comparative reduction of energy in a firm's production process is associated with a reduced energy use in the following years.

Journal ArticleDOI
31 Oct 2022-Energy
TL;DR: In this article , the implications of climate ambition, speed of economic recovery from COVID-19, and behavioural changes due to pandemic-related measures and/or environmental concerns for EU transition dynamics, over the next decade, are disaggregated.

Journal ArticleDOI
TL;DR: In this article , the authors examined a Traveling Purchaser Problem (TPP) transport network and proved that smaller steps in fuel efficiency increase let each rebound effect become a backfire.
Abstract: Sometimes measurements taken to increase resource efficiency do not reach the estimated magnitude, as part of the reduction vanishes due to the reaction of entities to the changed environment. This so-called rebound effect is intensively discussed in the energy sector literature. Surprisingly, little is found for transportation, and the question arises whether rebound effects occur in logistics as well. In this paper, we fill this gap by examining a Traveling Purchaser Problem (TPP) transport network. The implementation, which is a generalization of the TSP, will serve as a decision space in which the procurement of various quantities of products inside a logistics network will be optimized in regard to total costs while the consumption of fuel is monitored. Different parameterizations of the environment will be analyzed and tested to determine factors for the occurrence and magnitude of rebound effects. We present an upper bound on the number of rebound effects and we prove that smaller steps in fuel efficiency increase let each rebound effect become a backfire.

Journal ArticleDOI
10 Jun 2022-Energies
TL;DR: In this article , the authors evaluated the energy rebound effect (RE) of 30 provinces in China over the period 2001-2017 by employing stochastic frontier analysis (SFA) and the system generalized method of moments (system-GMM) approach, and explored the extent to which the RE affects CO2 emissions.
Abstract: Enhancing energy efficiency is globally regarded as an effective way to reduce carbon emissions. In recent years, the energy efficiency of China has gradually improved; however, energy consumption and CO2 emissions are still increasing. To better understand the reasons for this, we evaluated the energy rebound effect (RE) of 30 provinces in China over the period 2001–2017 by employing stochastic frontier analysis (SFA) and the system generalized method of moments (system-GMM) approach, and explored the extent to which the RE affects CO2 emissions. Asymmetric and regional heterogeneity analyses were also conducted. The results indicate that the national average RE was 90.47% in the short run, and 78.17% in the long run, during the sample period. Most of the provinces experienced a partial RE, with a backfire effect occurring in some provinces such as Guangxi and Henan. The RE was associated with significant increases in CO2 emissions; specifically, a 1% increase in the short-run RE led to an increase in CO2 emissions of approximately 0.818%, and a 1% increase in the long-run RE resulted in an increase in CO2 emissions of approximately 0.695%. Moreover, significant regional differences existed in the impact of the RE on CO2 emissions; in regions with high emissions and a high RE, the CO2 reduction effect from the marginal decline in the RE was much more pronounced than that in other regions.

Journal ArticleDOI
TL;DR: In this article , a top-down dynamic general equilibrium model with a bottom-up efficiency improvement module is used to find the set of efficiency practices that should be realized in each period along with the required increase in energy prices.
Abstract: The present study aims at finding a practical policy for reducing energy consumption in through simultaneous energy subsidy reduction and energy efficiency improvement. To be a practical solution, the efficiency practices should be chosen from feasible energy efficiency potentials. To mitigate the economy-wide rebound effect, energy price should be increased in accordance with efficiency enhancement. The combination of a top-down dynamic general equilibrium model with a bottom-up efficiency improvement module is used to find the set of efficiency practices that should be realized in each period along with the required increase in energy prices. Choosing efficiency practices depends on their costs and on the available funds. The model is applied for the energy-intensive industries in Iran. The model results show that over less than ten years, the energy efficiency of electrical and natural gas equipment in energy intensive industries of Iran can be increased by 12.7% and 18.1% respectively. The rebound effect starts with values above 80% and then falls below zero percent which indicates the success of the proposed policy in preventing the rebound effect. Results also demonstrate that the implementation of the policy realizes the 4% reduction in CO2 emissions by 2030 which is Iran's unconditional pledge.