Topic
Rebound effect (conservation)
About: Rebound effect (conservation) is a research topic. Over the lifetime, 773 publications have been published within this topic receiving 25741 citations.
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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.
4 citations
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TL;DR: This article investigated the different impacts of monetary and non-monetary incentives on energy-saving behaviors using a field experiment conducted in Japan and found that the average reduction in electricity consumption from rebate is 4%, while that from nudge is not significantly different from zero.
Abstract: This study investigates the different impacts of monetary and nonmonetary incentives on energy-saving behaviors using a field experiment conducted in Japan. We find that the average reduction in electricity consumption from rebate is 4%, while that from nudge is not significantly different from zero. Applying a novel machine learning method for causal inference (causal forest) to estimate heterogeneous treatment effects at the household level, we demonstrate that the nudge intervention’s treatment effects generate greater heterogeneity among households. These findings suggest that selective targeting for treatment increases the policy efficiency of monetary and nonmonetary interventions.
4 citations
TL;DR: Wang et al. as discussed by the authors examined the impact of digital development on electricity consumption and its heterogeneity among Chinese cities, and further evaluated the sizes of energy rebound effect triggered by digital development.
3 citations
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.
3 citations
01 Jan 2017
TL;DR: The authors discusses approaches to make policy decisions about accounting for indirect land use change effects in the presence of uncertainty about the magnitude of the effect and the need to balance a precautionary desire to delay investment till the uncertainty is resolved with the cost of delaying a switch from fossil fuels to biofuels.
Abstract: The impact of greenhouse gas emissions on climate change occurs both through direct life cycle emissions and direct land use change as well as through indirect land use change (ILUC). The latter, in particulars are uncertain and front-loaded: land conversion leads to a large initial discharge that is paid back through reduced direct carbon intensity relative to fossil fuels in the future. This chapter discusses approaches to make policy decisions about accounting for ILUC effects in the presence of uncertainty about the magnitude of the effect and the need to balance a precautionary desire to delay investment till the uncertainty is resolved with the cost of delaying a switch from fossil fuels to biofuels. Given the temporal variation in the trajectory of emissions, policymakers should consider using metrics other than the cumulative discharges to capture the impact of emissions on the climate and the time profile of that impact and costs of positive and negative errors in incorporating ILUC effects in policy implementation. It is also important to recognize the presence of other market-mediated effects such as the fuel rebound effect that can also offset some of the direct savings in carbon emissions from switching to biofuels.
3 citations