Modeling the rebound effect in two manufacturing industries

Safarzynska, Karolina

doi:10.1016/j.techfore.2012.01.004

Cited by 25 publications

(11 citation statements)

References 67 publications

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“…They mention the same relationships that happen in the case of macroeconomic effects, namely, that the interface of labor, capital, and energy as factors of production changes throughout the economy can lead to overall economic growth (Santarius, 2012). In addition, a limited number of empirical studies investigate mesoeconomic rebounds within industry sectors (Bentzen, 2004;Safarzynska, 2012;Saunders, 2013;Lin and Li, 2014). Bentzen calculates an average rebound effect on the order of 24% for the entire producing industry in the USA.…”

Section: )mentioning

confidence: 99%

From Unidisciplinary to Multidisciplinary Rebound Research: Lessons Learned for Comprehensive Climate and Energy Policies

2018

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This article presents how the rebound phenomenon has evolved from only being considered from a neoclassical economic perspective to include several other disciplines such as psychology, sociology, and industrial ecology. The intention is to show how different theoretical perspectives contribute to the scientific discourse about rebound effects. We summarize key findings from the various disciplinary strains of research and highlight new research questions and needs that arise. We discuss strengths and limitations of the expansion toward multidisciplinary rebound research and suggest that a further expansion toward transdisciplinary research could be valuable. We identify the "micro-macro discrepancy" and the "cause-effect relativity" as two general challenges that have to be taken into account when rebound research becomes increasingly multi-and transdisciplinary. In the final section of the article, we present lessons learned from multidisciplinary rebound research for policies and measures that aim to mitigate rebound effects. The main finding of this article is that if policymakers aim to make climate and energy policies as "rebound-proof" as possible, findings from both energy economics and multidisciplinary rebound research have to be taken into account.

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Section: )mentioning

confidence: 99%

From Unidisciplinary to Multidisciplinary Rebound Research: Lessons Learned for Comprehensive Climate and Energy Policies

2018

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“…(7), while we pay more attention to the decomposition methods of technological change, as in Eqs. (8) and (9). So the potential impact of decomposition method selection on the rebound effects magnitudes need further discussion.…”

Section: Conclusion and Policy Suggestionsmentioning

confidence: 99%

“…The basic concept and mechanism of the rebound effects are widely accepted [6][7][8][9][10]. Thus, it is important to estimate its magnitude because it may undermine the rationale for policy measures to encourage energy efficiency if it is too large [11].…”

Section: Introductionmentioning

confidence: 99%

Heterogeneity in rebound effects: Estimated results and impact of China’s fossil-fuel subsidies

Lin

2015

Applied Energy

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“…While the industrial and commercial sectors may exhibit similar direct and indirect rebound effects [10,16,45], in this paper we restrict our focus to residential direct and indirect rebound effects for electric end-uses. We also restrict our focus to rebound effects as defined in industrial ecology and economics, although the fields of psychology and sociology provide complementary definitions and perspectives on consumer behavior with efficiency investments that are also important when assessing the consequences of energy efficiency investment [22].…”

Section: The Direct Rebound Effectmentioning

confidence: 99%

Comparing the magnitude of simulated residential rebound effects from electric end-use efficiency across the US

Thomas

Hausfather

Azevedo

2014

Environ. Res. Lett.

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Many US states rely on energy efficiency goals as a strategy to reduce CO 2 e emissions and air pollution, to minimize investments in new power plants, and to create jobs. For those energy efficiency interventions that are cost-effective, i.e., saving money and reducing energy, consumers may increase their use of energy services, or re-spend cost savings on other carbonand energy-intensive goods and services. In this paper, we simulate the magnitude of these 'rebound effects' in each of the 50 states in terms of CO 2 e emissions, focusing on residential electric end-uses under plausible assumptions. We find that a 10% reduction in annual electricity use by a household results in an emissions' reduction penalty ranging from 0.1 ton CO 2 e in California to 0.3 ton CO 2 e in Alabama (from potential emissions reductions of 0.3 ton CO 2 e and 1.6 ton CO 2 e, respectively, in the no rebound case). Rebound effects, percentage-wise, range from 6% in West Virginia (which has a high-carbon electricity and low electricity prices), to as high as 40% in California (which has low-carbon electricity and high electricity prices). The magnitude of rebound effects percentage-wise depends on the carbon intensity of the grid: in states with low emissions factors and higher electricity prices, such as California, the rebound effects are much larger percentage-wise than in states like Pennsylvania. Conversely, the states with larger per cent rebound effects are the ones where the implications in terms of absolute emissions changes are the smallest.

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Modeling the rebound effect in two manufacturing industries

Cited by 25 publications

References 67 publications

From Unidisciplinary to Multidisciplinary Rebound Research: Lessons Learned for Comprehensive Climate and Energy Policies

From Unidisciplinary to Multidisciplinary Rebound Research: Lessons Learned for Comprehensive Climate and Energy Policies

Heterogeneity in rebound effects: Estimated results and impact of China’s fossil-fuel subsidies

Comparing the magnitude of simulated residential rebound effects from electric end-use efficiency across the US

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