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Muth, D.: Pathways to stringent carbon pricing: Configurations of political economy conditions and revenue recycling strategies. A comparison of thirty national level policies

Pathways to stringent carbon pricing: Configurations of political economy conditions and revenue recycling strategies. A comparison of thirty national level policies

 

Author: Dániel Muth

In: Ecological Economics, 214(2023), 107995

DOI: https://doi.org/10.1016/j.ecolecon.2023.107995

 

Abstract

There is general agreement among economists and climate policy practitioners that carbon pricing should play a central role among all policies used to tackle climate change effectively. However, in most jurisdictions that have adopted carbon pricing mechanisms, the prevailing price levels remain too low to accelerate decarbonization and drive down emissions. This deficiency can be attributed to numerous political economy constraints, but most pressingly, to the negative distributional effects of the policies combined with the drain they impose on firms’ competitiveness. These factors negatively influence the public acceptability of these policies and, thus, the feasibility of introducing ambitious carbon pricing. Recent innovations in the literature suggest that using the revenue from carbon pricing for specific social purposes may ease this political impasse. This study analyzes which revenue recycling strategies are effective, in various political economy environments, to support stringent carbon pricing. Employing the method of fuzzy-set Qualitative Comparative Analysis, this research draws findings from a cross-case comparison of thirty national-level policies. The salient conclusion is that hybrid use of carbon revenue that combines various compensatory schemes and spending on climate projects is the most effective strategy to enhance stringency, while a lack of compensation renders the introduction of ambitious carbon pricing implausible, even in some highly developed countries.

EcologicalEconomics
2024.   Március  26.

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2024.   Március  26.

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