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How Robust are Estimates of the Rebound Effect of Energy Efficiency Improvements? A Sensitivity Analysis of Consumer Heterogeneity and Elasticities

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Economy-wide rebound effects may undermine climate policies relying on energy efficiency improvements. However, available rebound estimates diverge widely. We illustrate the crucial role of model assumptions of household heterogeneity and elasticities. A computable general equilibrium model of the Austrian economy incorporates multiple household groups with heterogeneous preferences and analyzes how improving efficiency by 10% affects household fossil fuel consumption. In the base model, economy-wide rebound is 65%; different household groups show direct rebound of 8-12%; thus, indirect rebound mainly contributes to economy-wide rebound. A sensitivity analysis using Monte Carlo simulation varies elasticities between household groups, namely substitutability between material and energy goods, and between different energy goods. In 160 simulation runs, the economy-wide rebound emerges as rather robust. By contrast, direct rebound varies widely among household groups and attains 30%, where reciprocal feedback between groups builds up. In the base model, a fossil fuel tax rate of 43% neutralizes the economy-wide rebound. When elasticities in 180 simulation runs are varied, this tax rate spans from 15% to 80%. Thus, rebound estimates and derived policy advice, such as specific rates and numbers, should be treated with great caution, unless elasticity parameters are reliable and account for heterogeneous consumer preferences.

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  • Kulmer, Veronika & Seebauer, Sebastian, 2017. "How Robust are Estimates of the Rebound Effect of Energy Efficiency Improvements? A Sensitivity Analysis of Consumer Heterogeneity and Elasticities," FCN Working Papers 16/2017, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).
  • Handle: RePEc:ris:fcnwpa:2017_016
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    Cited by:

    1. Specht, Jan Martin & Madlener, Reinhard, 2018. "Business Models for Energy Suppliers Aggregating Flexible Distributed Assets and Policy Issues Raised," FCN Working Papers 7/2018, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).
    2. Pereira, Guillermo Ivan & Specht, Jan Martin & Silva, Patrícia Pereira & Madlener, Reinhard, 2018. "Technology, business model, and market design adaptation toward smart electricity distribution: Insights for policy making," Energy Policy, Elsevier, vol. 121(C), pages 426-440.
    3. Heesen, Florian & Madlener, Reinhard, 2021. "Revisiting heat energy consumption modeling: Household production theory applied to field experimental data," Energy Policy, Elsevier, vol. 158(C).

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    More about this item

    Keywords

    Economy-wide rebound; sensitivity analysis; CGE model; household heterogeneity;
    All these keywords.

    JEL classification:

    • C68 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computable General Equilibrium Models
    • D58 - Microeconomics - - General Equilibrium and Disequilibrium - - - Computable and Other Applied General Equilibrium Models
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices

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