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Substitution between Clean and Dirty Energy with Biased Technical Change

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Abstract

The elasticity of substitution between clean and dirty energy lies at the center of leading economic analyses of climate policy. Despite the importance, empirical assessments of this key parameter remain scarce. This article estimates the clean-dirty elasticity of substitution using data on French manufacturing firms. Using the elasticity estimates, I then measure the bias in technical change at the firm level and find that technical change was largely biased toward dirty energy, despite a recent shift toward clean technologies. Finally, I recover the aggregate elasticity that combines substitution within firms and reallocation across firms from the micro elasticity estimates.
Original languageEnglish
Pages (from-to)883-902
Number of pages20
JournalInternational Economic Review
Volume66
Issue number2
Early online date1 Nov 2024
DOIs
Publication statusPublished - 31 May 2025

Data Availability Statement

The data that support the findings of this study are available from the Secure Data Access Center (CASD) to authorized users. Information on the authorization process can be found at https://www.casd.eu/en/enable-access-to-data-through-casd/

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 13 - Climate Action
    SDG 13 Climate Action

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