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Modeling the rebound effect in two manufacturing industries

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  • Safarzynska, Karolina

Abstract

The rebound effect refers to the phenomenon that energy savings from improvements in energy efficiency are lower than expected due to unintended second-order effects. Grasping specific mechanisms related to the rebound effect requires a good understanding of interactions between heterogonous agents on multiple markets. Otherwise, policies aimed at reducing energy use may render counter-expected and unforeseen consequences. In this paper, we propose a formal model, where technological change results from interactions on two markets: between consumers and producers in the market for final goods, and heterogeneous power plants in the electricity market. The analysis provides insights to the role of technological change, supply–demand coevolution, and status-driven consumption in explaining the rebound effect. The model is employed to compare effectiveness of economic policies aimed at reducing carbon emissions associated with production of consumer goods, namely: a tax on electricity and ‘nuclear obligations’ to produce ten percent of electricity from nuclear energy.

Suggested Citation

  • Safarzynska, Karolina, 2012. "Modeling the rebound effect in two manufacturing industries," Technological Forecasting and Social Change, Elsevier, vol. 79(6), pages 1135-1154.
    • Handle: RePEc:eee:tefoso:v:79:y:2012:i:6:p:1135-1154
    DOI: 10.1016/j.techfore.2012.01.004
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    Citations

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    Cited by:

    1. Lamperti, F. & Dosi, G. & Napoletano, M. & Roventini, A. & Sapio, A., 2020. "Climate change and green transitions in an agent-based integrated assessment model," Technological Forecasting and Social Change, Elsevier, vol. 153(C).
    2. Saunders, Harry D. & Roy, Joyashree & Azevedo, Inês M.L. & Chakravarty, Debalina & Dasgupta, Shyamasree & De La Rue Du Can, Stephane & Druckman, Angela & Fouquet, Roger & Grubb, Michael & Lin, Boqiang, 2021. "Energy efficiency: what has research delivered in the last 40 years?," LSE Research Online Documents on Economics 114344, London School of Economics and Political Science, LSE Library.
    3. Yang, Lisha & Li, Zhi, 2017. "Technology advance and the carbon dioxide emission in China – Empirical research based on the rebound effect," Energy Policy, Elsevier, vol. 101(C), pages 150-161.
    4. Safarzyńska, Karolina & van den Bergh, Jeroen C.J.M., 2018. "A higher rebound effect under bounded rationality: Interactions between car mobility and electricity generation," Energy Economics, Elsevier, vol. 74(C), pages 179-196.
    5. Hong, Li & Liang, Dong & Di, Wang, 2013. "Economic and environmental gains of China's fossil energy subsidies reform: A rebound effect case study with EIMO model," Energy Policy, Elsevier, vol. 54(C), pages 335-342.
    6. Safarzyńska, Karolina & van den Bergh, Jeroen C.J.M., 2017. "Integrated crisis-energy policy: Macro-evolutionary modelling of technology, finance and energy interactions," Technological Forecasting and Social Change, Elsevier, vol. 114(C), pages 119-137.
    7. Ruzzenenti, Franco & Basosi, Riccardo, 2017. "Modelling the rebound effect with network theory: An insight into the European freight transport sector," Energy, Elsevier, vol. 118(C), pages 272-283.
    8. Li, Ke & Jiang, Zhujun, 2016. "The impacts of removing energy subsidies on economy-wide rebound effects in China: An input-output analysis," Energy Policy, Elsevier, vol. 98(C), pages 62-72.
    9. Safarzyńska, Karolina, 2013. "Evolutionary-economic policies for sustainable consumption," Ecological Economics, Elsevier, vol. 90(C), pages 187-195.
    10. Zhang, Yue-Jun & Peng, Hua-Rong & Su, Bin, 2017. "Energy rebound effect in China's Industry: An aggregate and disaggregate analysis," Energy Economics, Elsevier, vol. 61(C), pages 199-208.
    11. Li, Ke & Lin, Boqiang, 2018. "How to promote energy efficiency through technological progress in China?," Energy, Elsevier, vol. 143(C), pages 812-821.
    12. Li, Ke & Lin, Boqiang, 2015. "Heterogeneity in rebound effects: Estimated results and impact of China’s fossil-fuel subsidies," Applied Energy, Elsevier, vol. 149(C), pages 148-160.
    13. Thomas, Brinda A. & Azevedo, Inês L., 2013. "Estimating direct and indirect rebound effects for U.S. households with input–output analysis Part 1: Theoretical framework," Ecological Economics, Elsevier, vol. 86(C), pages 199-210.
    14. Li, Ke & Zhang, Ning & Liu, Yanchu, 2016. "The energy rebound effects across China’s industrial sectors: An output distance function approach," Applied Energy, Elsevier, vol. 184(C), pages 1165-1175.

    More about this item

    Keywords

    electricity; energy savings; rebound effect; status consumption;
    All these keywords.

    JEL classification:

    • D11 - Microeconomics - - Household Behavior - - - Consumer Economics: Theory
    • L22 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Firm Organization and Market Structure
    • Q48 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Government Policy

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