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A new way to estimate the direct and indirect rebound effect and other rebound indicators

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  • Freire-González, Jaume

Abstract

Some progress has been done during the last years on the methods and provision of empirical evidence on the direct and indirect rebound effect. However, these methods are complex, and sometimes require some specific economic knowledge. The development of risk and vulnerability rebound indicators for economies can be a useful tool to help the research community, policy-makers and other practitioners to understand and tackle the rebound effect. This research shows a new analytical way to obtain the direct and indirect rebound effect from the direct rebound effect and the use of energy input-output coefficients, and proposes three risk and vulnerability rebound indicators to show the effects of energy efficiency improvements in households on overall energy consumption. An estimation of these indicators has been conducted for the EU-27 countries.

Suggested Citation

  • Freire-González, Jaume, 2017. "A new way to estimate the direct and indirect rebound effect and other rebound indicators," Energy, Elsevier, vol. 128(C), pages 394-402.
  • Handle: RePEc:eee:energy:v:128:y:2017:i:c:p:394-402
    DOI: 10.1016/j.energy.2017.04.057
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    Cited by:

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    2. Tugba Somuncu & Christopher Hannum, 2018. "The Rebound Effect of Energy Efficiency Policy in the Presence of Energy Theft," Energies, MDPI, vol. 11(12), pages 1-28, December.
    3. Colmenares, Gloria & Löschel, Andreas & Madlener, Reinhard, 2019. "The rebound effect and its representation in energy and climate models," CAWM Discussion Papers 106, University of Münster, Münster Center for Economic Policy (MEP).
    4. Wen, Fenghua & Ye, Zhengke & Yang, Huaidong & Li, Ke, 2018. "Exploring the rebound effect from the perspective of household: An analysis of China's provincial level," Energy Economics, Elsevier, vol. 75(C), pages 345-356.
    5. Ying Han & Jianhua Shi & Yuanfan Yang & Yaxin Wang, 2019. "Direct Rebound Effect for Electricity Consumption of Urban Residents in China Based on the Spatial Spillover Effect," Energies, MDPI, vol. 12(11), pages 1-16, May.
    6. Bolat, C. Kaan & Soytas, Ugur & Akinoglu, Bulent & Nazlioglu, Saban, 2023. "Is there a macroeconomic carbon rebound effect in EU ETS?," Energy Economics, Elsevier, vol. 125(C).
    7. Cansino, José M. & Román-Collado, Rocío & Merchán, José, 2019. "Do Spanish energy efficiency actions trigger JEVON’S paradox?," Energy, Elsevier, vol. 181(C), pages 760-770.
    8. Gróf, Gyula & Janky, Béla & Bethlendi, András, 2022. "Limits of household's energy efficiency improvements and its consequence – A case study for Hungary," Energy Policy, Elsevier, vol. 168(C).
    9. Jin, Taeyoung & Kim, Jinsoo, 2019. "A new approach for assessing the macroeconomic growth energy rebound effect," Applied Energy, Elsevier, vol. 239(C), pages 192-200.

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    More about this item

    Keywords

    Economic structure; Energy efficiency; Rebound effect; Indicators; Re-spending modelling;
    All these keywords.

    JEL classification:

    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy
    • C67 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Input-Output Models

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