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Carbon Tax and Energy Intensity: Assessing the Channels of Impact using UK Microdata

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  • Morakinyo O. Adetutu, Kayode A. Odusanya, and Thomas G. Weyman-Jones

Abstract

Prior empirical studies indicate that carbon taxes have a negative impact on energy intensity, yet, the literature is unable to shed much light on the channels through which a moderate carbon tax reduces industrial energy intensity. Using a two-stage econometric approach, we provide the first comprehensive analysis of the five components of the energy intensity gain (EIG) arising from the UK climate change levy (CCL). First, we propose an EIG decomposition based on a stochastic energy cost frontier and a confidential panel of UK manufacturing plants covering 2001-2006. In the second stage, we identify the impact of the CCL on EIG components using an instrumental variable (IV) approach that addresses the endogeneity of the carbon tax rules. Factor substitution and technological progress are the dominant firm responses to the CCL, while energy efficiency is surprisingly the least responsive component. Our findings underscore the challenge arising from overreliance on narrow energy policy objectives such as energy efficiency improvements, suggesting that a broader policy approach aimed at improving overall firm resource allocation might be more appropriate.

Suggested Citation

  • Morakinyo O. Adetutu, Kayode A. Odusanya, and Thomas G. Weyman-Jones, 2020. "Carbon Tax and Energy Intensity: Assessing the Channels of Impact using UK Microdata," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 143-166.
  • Handle: RePEc:aen:journl:ej41-2-adetutu
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    Cited by:

    1. Wang, Kaike & Su, Xuewei & Wang, Shuhong, 2023. "How does the energy-consuming rights trading policy affect China's carbon emission intensity?," Energy, Elsevier, vol. 276(C).
    2. Zhong Wang & Mingyu Wu & Shixiang Li & Changji Wang, 2021. "The Effect Evaluation of China’s Energy-Consuming Right Trading Policy: Empirical Analysis Based on PSM-DID," Sustainability, MDPI, vol. 13(21), pages 1-16, October.
    3. Favero, Filippo & Grossi, Luigi, 2023. "Analysis of individual natural gas consumption and price elasticity: Evidence from billing data in Italy," Energy Economics, Elsevier, vol. 118(C).

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    JEL classification:

    • F0 - International Economics - - General

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