Published October 27, 2020 | Version final
Journal article Open

Introducing carbon tax in Italy: Is there room for a quadruple-dividend effect?

  • 1. University of Florence
  • 2. University of Pisa

Description

This study seeks to examine the environmental and societal impacts of a carbon tax in Italy, where the policy has yet to be implemented but has been the subject of much debate. We use numerical simulations based on the EUROGREEN macro-system dynamic model to evaluate the potential benefits and drawbacks of this policy from 2010 to 2050.

We employ a sequential scenario approach, starting with a baseline that incorporates Italy's Energetic Plan (PNIEC), followed by the introduction of a gradually increasing carbon tax. Additionally, we test two hypotheses regarding the possible adaptive behaviors of consumers and producers in response to the policy. Our analysis evaluates the long-term impacts of the carbon tax on GDP, unemployment, public debt, carbon emissions, and income inequality, in pursuit of a "quadruple-dividend" effect.

Our findings suggest that the carbon tax: i$ has a limited impact on reducing carbon emissions, with a difference of only 2% compared to the PNIEC by 2050, ii) has the potential to mitigate regressive effects through the redistribution of its revenue to low-income households, resulting in an improvement of approximately 2 Gini-points compared to the PNIEC, and iii) can achieve a quadruple-dividend effect only if consumers and industries adapt their behavior to the policy.

Our research argues that Italy could reap the benefits of a carbon tax, with the revenue being redistributed to low-income households, leading to a more equitable and sustainable energy transition. This can only be achieved by combining top-down policies with bottom-up initiatives and public interventions, making environmental taxation more acceptable to the general public.

Notes

This is the last version (08/02/2023). This work has been developed under the LOCOMOTION H2020 project (https://www.locomotion-h2020.eu/), funded by the European Union's Horizon 2020 research and innovation programme under grant agreements no 821105.

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