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Revisiting Rebound Effects from Material Resource Use. Indications for Germany Considering Social Heterogeneity

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  • Johannes Buhl

    (Wuppertal Institute for Climate, Environment and Energy, Doeppersberg 19, Wuppertal D-42103, Germany)

Abstract

In contrast to the original investigation by William Stanley Jevons, compensations of energy savings due to improved energy efficiency are mostly analyzed by providing energy consumption or greenhouse gas emissions. In support of a sustainable resource management, this paper analyzes so-called rebound effects based on resource use. Material flows and associated expenditures by households allow for calculating resource intensities and marginal propensities to consume. Marginal propensities to consume are estimated from data of the German Socio-Economic Panel (SOEP) in order to account for indirect rebound effects for food, housing and mobility. Resource intensities are estimated in terms of total material requirements per household final consumption expenditures along the Classification of Individual Consumption according to Purpose (COICOP). Eventually, rebound effects are indicated on the basis of published saving scenarios in resource and energy demand for Germany. In sum, compensations due to rebound effects are lowest for food while the highest compensations are induced for mobility. This is foremost the result of a relatively high resource intensity of food and a relatively low resource intensity in mobility. Findings are provided by giving various propensity scenarios in order to cope with income differences in Germany. The author concludes that policies on resource conservation need to reconsider rebound effects under the aspect of social heterogeneity.

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  • Johannes Buhl, 2014. "Revisiting Rebound Effects from Material Resource Use. Indications for Germany Considering Social Heterogeneity," Resources, MDPI, vol. 3(1), pages 1-17, February.
    • Handle: RePEc:gam:jresou:v:3:y:2014:i:1:p:106-122:d:32832
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    References listed on IDEAS

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    1. Brookes, Len, 1990. "The greenhouse effect: the fallacies in the energy efficiency solution," Energy Policy, Elsevier, vol. 18(2), pages 199-201, March.
    2. Matiaske, Wenzel & Menges, Roland & Spiess, Martin, 2012. "Modifying the rebound: It depends! Explaining mobility behavior on the basis of the German socio-economic panel," Energy Policy, Elsevier, vol. 41(C), pages 29-35.
    3. Ulrike Stein, 2009. "Zur Entwicklung der Sparquoten der privaten Haushalte: eine Auswertung von Haushaltsdaten des SOEP," SOEPpapers on Multidisciplinary Panel Data Research 249, DIW Berlin, The German Socio-Economic Panel (SOEP).
    4. Lettenmeier, Michael & Gobel, Christine & Liedtke, Christa & Rohn, Holger & Teitscheid, Petra, 2012. "Material Footprint of a Sustainable Nutrition System in 2050 – Need for Dynamic Innovations in Production, Consumption and Politics," 2012 International European Forum, February 13-17, 2012, Innsbruck-Igls, Austria 144983, International European Forum on System Dynamics and Innovation in Food Networks.
    5. Chitnis, Mona & Sorrell, Steve & Druckman, Angela & Firth, Steven K. & Jackson, Tim, 2013. "Turning lights into flights: Estimating direct and indirect rebound effects for UK households," Energy Policy, Elsevier, vol. 55(C), pages 234-250.
    6. Druckman, Angela & Chitnis, Mona & Sorrell, Steve & Jackson, Tim, 2011. "Missing carbon reductions? Exploring rebound and backfire effects in UK households," Energy Policy, Elsevier, vol. 39(6), pages 3572-3581, June.
    7. Frondel, Manuel & Ritter, Nolan & Vance, Colin, 2012. "Heterogeneity in the rebound effect: Further evidence for Germany," Energy Economics, Elsevier, vol. 34(2), pages 461-467.
    8. Alfredsson, E.C., 2004. "“Green” consumption—no solution for climate change," Energy, Elsevier, vol. 29(4), pages 513-524.
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