2017
DOI: 10.1111/1756-2171.12190
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Energy efficiency and household behavior: the rebound effect in the residential sector

Abstract: This article investigates the rebound effect in residential heating, using a sample of 563,000 households in the Netherlands. Using instrumental variable and fixed‐effects approaches, we address potential endogeneity concerns. The results show a rebound effect of 26.7% among homeowners, and 41.3% among tenants. We corroborate the findings through a quasiexperimental analysis, using a large retrofit subsidy program. We also document significant heterogeneity in the rebound effect, determined by household wealth… Show more

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Cited by 117 publications
(89 citation statements)
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References 55 publications
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“…The three coefficients are not statistically different from each other, but they reveal a significant difference between the indicated temperature categories and the omitted category (≤ 20 degrees). Aydin et al (2014) find similar results, with households using more energy than the average displaying a higher direct rebound. One question then arises: Why have low temperature households a lower rebound, considering that they still sometimes rebound?…”
Section: Determinants Of the Direct Reboundsupporting
confidence: 55%
“…The three coefficients are not statistically different from each other, but they reveal a significant difference between the indicated temperature categories and the omitted category (≤ 20 degrees). Aydin et al (2014) find similar results, with households using more energy than the average displaying a higher direct rebound. One question then arises: Why have low temperature households a lower rebound, considering that they still sometimes rebound?…”
Section: Determinants Of the Direct Reboundsupporting
confidence: 55%
“…Mandell and Wilhelmsson (2011) confirm a generally higher WTP for environmental attributes in Swedish households that perceive themselves as environmentally aware. Aydin et al (2017) analyze the rebound effect (reduction of the initial efficiency gains) in the residential sector and find a rebound effect of around 41% among tenants. The results vary with household wealth and income.…”
Section: Theoretical Background and Hypotheses Developmentmentioning
confidence: 99%
“…CEC estimated that its residential building codes saved 7,039 gigawatt hours of electricity in 2012, or 7.8 percent of total residential demand. 9 This calculation presumes the building codes are enforced, the savings predicted by engineers are realized, and there is no behavioral response. But there is reason to doubt all three assumptions.…”
Section: Projected Savings and The Evidence So Farmentioning
confidence: 99%
“…Haeri and Stewart (2013) use lagged expenditures on utility energy efficiency programs as the measure of policy and conclude that the $7 billion California utilities spent reduced electricity consumption by 9 CEC (2014, Note: The median California home price in 1980 was $80,000.…”
Section: Projected Savings and The Evidence So Farmentioning
confidence: 99%