Abstract
This paper proposes a novel methodology to estimate the demand and elasticity of electricity, heating, and private transport fuels by aligning the microdata of the Italian Household Budget Survey with several external sources. These estimates are used to evaluate the effects of a set of one-off carbon taxes on energy demand and expenditure. According to our simulations, the increase in energy prices prompted by carbon taxation would decrease energy demand for all uses considered. Our simulations suggest that the effects of carbon taxation are generally regressive: expenditure would increase more for poorer households while their energy demand is compressed. The carbon tax could achieve a significant decrease in GHG emissions and raise revenues, which could be recycled to compensate vulnerable households or reinvested to support the energy transition.
Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
