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“Green” consumption—no solution for climate change

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  1. Thomas, Brinda A. & Azevedo, Inês L., 2013. "Estimating direct and indirect rebound effects for U.S. households with input–output analysis. Part 2: Simulation," Ecological Economics, Elsevier, vol. 86(C), pages 188-198.
  2. Busato, Francesco & Chiarini, Bruno & Cisco, Gianluigi & Ferrara, Maria, 2021. "Greta Thunberg effect and Business Cycle Dynamics: A DSGE model," MPRA Paper 110141, University Library of Munich, Germany.
  3. Freire-González, Jaume & Font Vivanco, David & Puig-Ventosa, Ignasi, 2017. "Economic structure and energy savings from energy efficiency in households," Ecological Economics, Elsevier, vol. 131(C), pages 12-20.
  4. Zhang, Chuanguo & Liu, Cong, 2015. "The impact of ICT industry on CO2 emissions: A regional analysis in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 44(C), pages 12-19.
  5. Chitnis, Mona & Sorrell, Steve & Druckman, Angela & Firth, Steven K. & Jackson, Tim, 2014. "Who rebounds most? Estimating direct and indirect rebound effects for different UK socioeconomic groups," Ecological Economics, Elsevier, vol. 106(C), pages 12-32.
  6. Benedetto, Graziella & Rugani, Benedetto & Vázquez-Rowe, Ian, 2014. "Rebound effects due to economic choices when assessing the environmental sustainability of wine," Food Policy, Elsevier, vol. 49(P1), pages 167-173.
  7. Chitnis, Mona & Sorrell, Steve, 2015. "Living up to expectations: Estimating direct and indirect rebound effects for UK households," Energy Economics, Elsevier, vol. 52(S1), pages 100-116.
  8. 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.
  9. Orea, Luis & Llorca, Manuel & Filippini, Massimo, 2015. "A new approach to measuring the rebound effect associated to energy efficiency improvements: An application to the US residential energy demand," Energy Economics, Elsevier, vol. 49(C), pages 599-609.
  10. 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.
  11. Björn Hedin & Cecilia Katzeff & Elina Eriksson & Daniel Pargman, 2019. "A Systematic Review of Digital Behaviour Change Interventions for More Sustainable Food Consumption," Sustainability, MDPI, vol. 11(9), pages 1-23, May.
  12. Annika Carlsson Kanyama & Jonas Nässén & René Benders, 2021. "Shifting expenditure on food, holidays, and furnishings could lower greenhouse gas emissions by almost 40%," Journal of Industrial Ecology, Yale University, vol. 25(6), pages 1602-1616, December.
  13. Feng, Zhen-Hua & Zou, Le-Le & Wei, Yi-Ming, 2011. "The impact of household consumption on energy use and CO2 emissions in China," Energy, Elsevier, vol. 36(1), pages 656-670.
  14. Ala-Mantila, Sanna & Heinonen, Jukka & Junnila, Seppo, 2014. "Relationship between urbanization, direct and indirect greenhouse gas emissions, and expenditures: A multivariate analysis," Ecological Economics, Elsevier, vol. 104(C), pages 129-139.
  15. 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.
  16. Kok, Rixt & Benders, Rene M.J. & Moll, Henri C., 2006. "Measuring the environmental load of household consumption using some methods based on input-output energy analysis: A comparison of methods and a discussion of results," Energy Policy, Elsevier, vol. 34(17), pages 2744-2761, November.
  17. Xuehui Yang & Jiaping Zhang & Lehua Bi & Yiming Jiang, 2023. "Does China’s Carbon Trading Pilot Policy Reduce Carbon Emissions? Empirical Analysis from 285 Cities," IJERPH, MDPI, vol. 20(5), pages 1-24, March.
  18. Grabs, Janina, 2015. "The rebound effects of switching to vegetarianism. A microeconomic analysis of Swedish consumption behavior," Ecological Economics, Elsevier, vol. 116(C), pages 270-279.
  19. Yuling Sun & Junsong Jia & Min Ju & Chundi Chen, 2022. "Spatiotemporal Dynamics of Direct Carbon Emission and Policy Implication of Energy Transition for China’s Residential Consumption Sector by the Methods of Social Network Analysis and Geographically We," Land, MDPI, vol. 11(7), pages 1-26, July.
  20. Freire-González, Jaume, 2011. "Methods to empirically estimate direct and indirect rebound effect of energy-saving technological changes in households," Ecological Modelling, Elsevier, vol. 223(1), pages 32-40.
  21. David Font Vivanco & Jaume Freire‐González & Ray Galvin & Tilman Santarius & Hans Jakob Walnum & Tamar Makov & Serenella Sala, 2022. "Rebound effect and sustainability science: A review," Journal of Industrial Ecology, Yale University, vol. 26(4), pages 1543-1563, August.
  22. Antal, Miklós & van den Bergh, Jeroen C.J.M., 2014. "Re-spending rebound: A macro-level assessment for OECD countries and emerging economies," Energy Policy, Elsevier, vol. 68(C), pages 585-590.
  23. 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.
  24. Ferguson, Thomas M. & MacLean, Heather L., 2011. "Trade-linked Canada–United States household environmental impact analysis of energy use and greenhouse gas emissions," Energy Policy, Elsevier, vol. 39(12), pages 8011-8021.
  25. Lin, Boqiang & Liu, Xia, 2012. "Dilemma between economic development and energy conservation: Energy rebound effect in China," Energy, Elsevier, vol. 45(1), pages 867-873.
  26. Girod, Bastien & de Haan, Peter, 2009. "GHG reduction potential of changes in consumption patterns and higher quality levels: Evidence from Swiss household consumption survey," Energy Policy, Elsevier, vol. 37(12), pages 5650-5661, December.
  27. 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.
  28. Hamamoto, Mitsutsugu, 2019. "An empirical study on the behavior of hybrid-electric vehicle purchasers," Energy Policy, Elsevier, vol. 125(C), pages 286-292.
  29. Yu, Yihua & Guo, Jin, 2016. "Identifying electricity-saving potential in rural China: Empirical evidence from a household survey," Energy Policy, Elsevier, vol. 94(C), pages 1-9.
  30. Milin Lu & Zhaohua Wang, 2017. "Rebound effects for residential electricity use in urban China: an aggregation analysis based E-I-O and scenario simulation," Annals of Operations Research, Springer, vol. 255(1), pages 525-546, August.
  31. Murray, Cameron K., 2013. "What if consumers decided to all ‘go green’? Environmental rebound effects from consumption decisions," Energy Policy, Elsevier, vol. 54(C), pages 240-256.
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