Rebound effect in the era of energy transition

This paper conducts a meta-analysis on rebound effects regarding the energy transition for household end-use services toward renewable energies (including photovoltaic, biomass, green electricity, and heat pumps). The biomass and heat pump potentially lead to the highest size of rebound effect (approximately 33%). In addition, the rebound effect regarding green electricity is about 1–3 % and even 11 % for low-income households. Focusing on residential solar/photovoltaic technologies, it varies from a negative amount to nearly 30%. Only the solar domain supplies enough sample size to do the meta-regression. This model shows predictor variables driving the solar rebound effect(SRE) (estimated at around 15.49%) are feed-in-tariff (FIT) and the renewable share. A marginal percent in the renewable share or a one-cent change in FIT could result in a corresponding increase of SRE 0.21% and 0.34%, respectively.