Showing papers on "Rebound effect (conservation) published in 2021"
TL;DR: The authors analyzed the impact of environmental innovations, the consumption of renewable energies, GDP per capita, and degree of economic openness on CO2 emissions for 15 European countries over 23 years and found that, in the long-term, environmental innovations tend to lower CO 2 emissions, whereas in the short-term the observed effect is the opposite, suggesting the existence of a rebound effect.
124 citations
TL;DR: The empirical results suggest that the Chinese government should drive the establishment and improvement of a national carbon market, proactively adjust industry structure, and consider the possible influence caused by the potential energy rebound effect.
Abstract: The international community has generally recognized the key role of developing countries’ cities in reducing carbon emissions, an elemental way to mitigate climate change. However, few have empirically analyzed the impact of market-based instruments such as emission trading system on urban carbon emissions in developing economies. This paper examines the effect of China’s pilot carbon trading markets, the first emission trading system in developing economies, on cities’ carbon intensity. We also explore the mechanism by which the emission trading system achieves its influence. The PSM-DID method is used to analyze the panel data including China’s 273 prefecture-level cities from 2010 to 2016. The results illustrate that the emission trading system significantly decreased pilot cities’ carbon intensity and this effect endured; as time progressed, the reduction effect was increasing. Through mediating effect analysis, we find that the emission trading system reduced the carbon intensity via increasing the proportion of tertiary industry output value in GDP and decreasing the energy intensity. Overall, the empirical results suggest that the Chinese government should drive the establishment and improvement of a national carbon market, proactively adjust industry structure, and consider the possible influence caused by the potential energy rebound effect.
82 citations
TL;DR: Wang et al. as mentioned in this paper used the carbon emissions trading pilot study of 2013 as a quasi-natural experiment, combined with panel data of 30 provinces and cities in China during 2000-2017, and applied the difference-in-difference (DID) model to investigate the specific impact and mechanism of the Carbon emissions trading scheme (ETS) on energy efficiency.
66 citations
TL;DR: In this article, the authors identify key drivers of carbon intensity changes of 55 sectors, applying the decomposition techniques and the world input-output data, and demonstrate that global carbon intensity fluctuates drastically when shocked by the global financial crisis, presenting an inversed-V shape.
49 citations
TL;DR: Zhang et al. as mentioned in this paper used an adapted stochastic frontier model to estimate the energy efficiency and rebound effect in the urban residential sector for China's 30 provincial-level regions.
Abstract: China is at the stage of rapid urbanization. The residential energy consumption has been dramatically increasing with the substantially rising population in urban regions. To combat climate change, China has made ambitious plans for energy demand control and energy conversion, including the control over residential energy consumption. According to those plans, one of the fundamental ideas is to improve energy use efficiency through different measures. However, the existence of the energy rebound effect might make the achievement of energy-use reduction plans in the residential sector full of uncertainty. Thus, estimating the energy rebound effect in China’s urban residential sector is of importance for designing effective energy-saving policies. Also, China is a vast country with evident uneven development levels of regional economies. This motivates us to uncover the regional differences regarding the energy rebound effects, in order to understand the rebound effect in China’s residential sector more profoundly and to provide some policy references for implementing the region-specific measures of energy conservation. Based on the pioneering contribution of Orea et al. (2015) in the methodology, we estimate the energy efficiency and rebound effect in the urban residential sector for China’s 30 provincial-level regions using an adapted stochastic frontier model, i.e., the stochastic energy demand frontier approach. This approach can simultaneously estimate the energy efficiency and energy rebound effect by one step. Thus, we can be free from the restrictions in the methods using price elasticity or using the proxy of energy efficiency change to improve the estimated accuracy of the rebound effect. Furthermore, we examine the influencing factors of residential energy consumption and identify the determinants of the rebound effect. The results show that residents’ income level, temperature deviation, population scale, and household size are positively correlated with urban residential energy consumption. On the contrary, the district heating system, energy price, and technology progress contribute to reducing residential energy consumption. Regarding the energy rebound effect, an inverted U-shaped relationship between residents’ income level and rebound-effect size exists. Additionally, we find that energy price is negatively correlated with the rebound effect. Regarding the magnitude of the rebound effect, the estimated values vary to a large extent across provinces and regions, with the first, median, and third quartiles approximately equal to 40%, 70%, and 95%, respectively. By grouping provincial-level regions based on their time average values of the rebound effect, we find the group with the largest rebound effect only consists of eastern and developed provincial-level regions. In contrast, the group with the smallest rebound effect mainly consists of northwest and northeast provincial-level regions that are relatively poor. Furthermore, there is an evident “north-south” difference in the rebound effect size. For instance, the central north region and central south region are geographically nearby regions and similar in both the level and growth rate of residential income. However, the average regional size of the rebound effect increases to a large extent from the central north (42.19%) to the central south (70.32%).
33 citations
TL;DR: Zhang et al. as discussed by the authors measured the direct rebound effect of residential buildings, considering the differences in the rebound effect for residential buildings between urban and rural China over the period 1994-2016.
30 citations
TL;DR: Wang et al. as mentioned in this paper measured the energy rebound effect of China's metallurgical industry from the substitution and output channels and investigated whether improving energy efficiency can promote energy saving, which can take both technological progress and energy utilization efficiency into account.
27 citations
TL;DR: Based on the improved Tapio decoupling model and geographic information system spatial analysis technology, the authors studied the spatial and temporal pattern evolution law of the decoupled relativities.
Abstract: Based on the improved Tapio decoupling model and geographic information system spatial analysis technology, this paper studied the spatial and temporal pattern evolution law of the decoupling relat...
25 citations
TL;DR: Based on data from China family panel studies over the period 2010-2018, this paper measured the energy efficiency and direct rebound effect of residential electricity consumption by using the stochastic energy demand frontier model.
24 citations
TL;DR: In this article, the authors investigated the phenomenon of rebound effects in relation to a transition to a Circular Economy (CE) through qualitative inquiry and found that very low awareness of this effect amongst key stakeholders, and the identification of specific and general instances of rebound effect in the investigated industry.
24 citations
TL;DR: In this article, the authors defined the energy efficiency rebound effect of the coal industry and compared the rebound effect coefficient (REC) at coal industry level and the enterprise (YK Group) level.
TL;DR: The authors developed a stylized general equilibrium model to estimate changes in economy-wide energy consumption following an exogenous costless improvement in energy efficiency, which determines how behavioral changes offset energy efficiency improvements.
TL;DR: Based on the environmental Kuznets curve, the nonlinear programming model of urbanization, energy rebound effect and carbon emissions is established to analyze the influence mechanism of energy rebound on carbon emissions at different stages of urbanisation as discussed by the authors.
TL;DR: In this paper, the search for safe financial assets can affect economic growth and financial stability, and the search can exacerbate climate change if capitals are free and exchange rates are floating, which can lead to negative side effects for other areas.
Abstract: •The search for safe financial assets can affect economic growth and financial stability.•The search for green financial assets can exacerbate climate change if capitals are free and exchange rates are floating.•Lacking a strong coordination, green government policies are likely to generate negative side effects for other areas.•Ecological efficiency gains are likely to be offset by the higher growth rate of the economy (rebound effect).•The effectiveness of green behaviours and policies depends on the impact of cross-border financial flows on exchange rates.
TL;DR: In this paper, the authors proposed an econometric approach toward the estimation of the rebound effect based on the ODEX index, which does not require assumptions about the underlying distributions of energy inefficiency.
TL;DR: In this article, a large sample of residential PV installations was used to test for a possible rebound effect, showing that a large proportion of households oversized their installation to benefit from the subsidies and, later ended up consuming most of their excess production.
TL;DR: Wang et al. as discussed by the authors applied asymmetric price decomposition method and seemingly unrelated regression model to conduct the research, which showed that reducing capital cost is a more effective way than raising energy price for agricultural energy-saving goal.
TL;DR: In this paper, the impacts of rationalizing energy subsidy and its energy efficiency improvement during 2010-2030 using a dynamic recursive computable general equilibrium model were evaluated using this paper.
Abstract: Malaysia, as one of the top energy subsidizing countries, has announced to remove energy subsidies necessarily, not only to reduce energy consumption and the government budget deficit but also to improve overall efficiency and air quality. Therefore, this study evaluates the impacts of rationalizing energy subsidy and its energy efficiency improvement during 2010–2030 using a dynamic recursive computable general equilibrium model. Results revealed that reducing energy subsidies decreases energy consumption and emissions of all air pollutants. While the economic performance of the country improves in the long run due to stimulation in capital demand and investment, it reduces in the short run. Energy efficiency also improves by 1.1% and 2.3%, in the short run, in response to a reduction of 10% and 100% in energy subsidies, respectively. Energy efficiency improvements decrease the negative effects of pure subsidy policies on real GDP, trade, investment, and household consumption. The efficiency improvement policies also are effective in reducing more level of the rebound effect and lead to more energy saving in the economy, particularly in the petroleum products sector. The impacts on the rebound effect also differ across economic sectors. The results of this study provide new insights for energy subsidy policy and energy efficiency and suggest that additional tools and policies are required for improving the energy efficiency caused by phasing out energy subsidies. Malaysia, as one of the top energy subsidized countries, attempts to reduce the level of energy subsidies over time and, consequently, decline the use of fossil fuels in the economy. Therefore, this study analyzes the impacts of different subsidy reform policy on energy efficiency and, consequently, on economic and environmental performance and rebound effect of Malaysia by a recursive dynamic computable general equilibrium model.
TL;DR: Zhang et al. as discussed by the authors quantified lifestyle and urban household's consumption impacts upon carbon emissions from the indirect CO2 emissions aspect and uses the structural decomposition method to analyze the factors influencing the growth of indirect CO 2 emissions from 2007 to 2012.
TL;DR: Based on the definition of the rebound effect of agricultural water use, Wang et al. as mentioned in this paper used a fixed model to measure the causal effect of water use efficiency on agricultural water consumption and analyzed the agricultural water rebound effect.
Abstract: Agricultural water use accounts for the largest proportion of water withdrawal, so improving agricultural water use efficiency is an important way to alleviate water shortage. However, the expected water saving by the improved agricultural water use efficiency may be offset by the rebound effect, which means the goal of water saving by improving agricultural water use efficiency is not achieved. Based on the definition of the rebound effect of agricultural water use, this paper first uses a fixed model to measure the causal effect of agricultural water use efficiency on agricultural water use to analyze the agricultural water rebound effect, then analyses the heterogeneity and mechanism of the effect of agricultural water use efficiency on agricultural water use with the panel data from 30 provinces or cities in China from 2000 to 2017. The results show that, firstly, the agricultural water use efficiency has a significant negative effect on agricultural water use, but the average agricultural water rebound effect is 88.81%. Secondly, the effect of agricultural water use efficiency on agricultural water use is heterogeneous, in which the improvement of agricultural water use efficiency in humid or major grain-producing areas will have a lower agricultural water rebound effect. Finally, agricultural water use efficiency can affect agricultural water use through planting area and planting structure. An increase in agricultural water use efficiency will expand the planting area to increase water use. However, this will change the planting structure to decrease water use. The implication for agricultural water management is that the irrigation agricultural scale has to be controlled under the condition of available water resource, while improving agricultural water use efficiency.
TL;DR: In this paper, the effect of solar photovoltaic system installation on the electricity consumption in residential households across various geographic regions in San Diego was examined using meter-level data.
TL;DR: An optimal control framework of dynamic pricing and eco-efficiency investment is proposed, for which eco- efficiency reduces the unit production cost and boosts the demand of environmentally concerned consumers and pave the way to sounder sustainability strategies.
TL;DR: In this paper, the authors derived an improved approach for decomposition of energy rebound effects without presupposing production function forms, and showed that the fossil fuel rebound effect was higher than the non-fossil fuel, which may be due to the heterogeneous impacts of technology on potential fossil and non-francisil energy savings.
Abstract: Although technological progress has greatly reduced energy use, the actual energy savings have always been lower than the potential conservations. This is known as the “energy rebound effect.” This paper estimated energy rebound effects of China's fossil and non-fossil fuel consumption. Additionally, this study derived an improved approach for decomposition of energy rebound effects without presupposing production function forms. Results shows that the fossil fuel rebound effect was higher than the non-fossil fuel, which may be due to the heterogeneous impacts of technology on potential fossil and non-fossil energy savings. Furthermore, fossil and non-fossil energy rebound effects were both predominantly caused by the substitution effect instead of the output effect. Hence, vigorously improving non-fossil energy efficiency will help reduce the fossil energy rebound effect.
TL;DR: In this article, a structural vector autoregressive (SVAR) model was used to identify the dynamic causal impact of structural shocks, including an energy efficiency shock, on U.S. monthly and quarterly data.
09 Jun 2021
TL;DR: This article investigated the role of three factors: access to airports, the concentration of people with migration background and/or geographically dispersed social networks in urban areas, and greater air travel by urban residents without cars.
Abstract: Residents of urban areas, and particularly urban cores, have higher levels of long-distance travel activity and related emissions, mostly on account of greater frequency of air travel. This relationship typically remains after controlling for basic socio-economic correlates of long-distance travel. There is an ongoing debate in the literature about what causes this association, and whether it calls into question urban densification strategies. Understanding this is important from a climate policy perspective. In this article, we investigate the role of three factors: i) access to airports; ii) the concentration of people with migration background and/or geographically dispersed social networks in urban areas; and iii) greater air travel by urban residents without cars (‘rebound effect’). We use representative survey data for the UK including information on respondents’ air travel frequency for private purposes and derive estimates of greenhouse gas emissions. The dataset also includes detailed information on migration generation, residential location of close family and friends, car ownership and use, as well as low-level geographical identifiers. The findings of regression analysis show that Greater London residents stand out in terms of emissions from air travel. Airport accessibility, migration background, and dispersion of social networks each explain part of this association, whereas we find no evidence of a rebound effect. However, proximity to town centres remains associated with higher emissions after accounting for these issues, indicating that this association is due to other factors than those considered here. We conclude by discussing implications for urban and climate policy, as well as future research.
TL;DR: In this paper, the authors investigated whether cessation of MiSight contact lens wear for myopia control produces rebound effect, and recruited participants who had just complemented their previous myopic wear.
Abstract: Purpose: To investigate whether cessation of MiSight contact lens (CLs) wear for myopia control produces rebound effect. Material and Methods: This study recruited participants who had just complet...
TL;DR: In this paper, the authors integrated the advantages of index decomposition and production-theory decomposition to analyse the determinants of energy consumption related PM2.5 in different regions and industries in China.
TL;DR: Wang et al. as discussed by the authors applied the meta frontier data envelopment analysis method to measure agricultural water efficiency, and then estimated the rebound rate of agricultural water resource applying difference-generalized method of moments and elasticity analysis formula.
TL;DR: In this paper, the authors employed the Input Demand Function of the Stochastic Frontier Analysis to measure the energy efficiency of residential aggregate in Indonesia and adopted the dynamic panel data model to estimate the economy-wide rebound effect.
TL;DR: In this article, the authors show that increases in energy efficiency are reduced by the rebound effect, and that efficiency gains on the micro level do not lead to proportionate reductions of energy consumption on the macro level.
Abstract: Increases in energy efficiency are reduced by the rebound effect. Efficiency gains on the micro level do not lead to proportionate reductions of energy consumption on the macro level. The German en...