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Assessment of carbon leakage through the industry channel: The EU perspective

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  • Paroussos, Leonidas
  • Fragkos, Panagiotis
  • Capros, Pantelis
  • Fragkiadakis, Kostas

Abstract

Lack of consensus on an international agreement for reducing Greenhouse Gas Emissions (GHG) emissions eventually leads to asymmetric climate policies which not only increase the cost of reducing emissions but also decrease the effectiveness of the climate policy, through carbon leakage. We calculate the carbon leakage rate when EU undertakes a unilateral climate policy and we assess the importance of the competitiveness channel on carbon leakage. Our analysis is global and mirrors energy and climate policies and commitments that are currently announced at country level. The effectiveness of possible measures to mitigate carbon leakage is also evaluated and the results emphasize on the importance of the size of the group of countries participating in the GHG mitigation effort. The analysis is based on the results obtained using the GEM-E3 model, a global multi-sector and multi-country computable general equilibrium model. It is found that total carbon leakage is around 28%, over the 2015–2050 period, when the EU acts alone with moderate Armington trade substitution elasticity values; leakage rates are found to increase when assuming higher trade elasticities. The size and composition, in terms of GHG and energy intensities, of the group of regions undertaking emission reductions matter for carbon leakage. The paper finds that the leakage is significantly reduced when China joins the mitigation effort. If the USA joins the EU effort, the leakage rate drops only to 25% and if alternatively China joins the EU the leakage rate drops to 3% over the 2015–2050 period. This is attributed to both the market size of China and to the energy intensity features of its production. Chemicals and metals are industries prone to higher leakage rates.

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  • Paroussos, Leonidas & Fragkos, Panagiotis & Capros, Pantelis & Fragkiadakis, Kostas, 2015. "Assessment of carbon leakage through the industry channel: The EU perspective," Technological Forecasting and Social Change, Elsevier, vol. 90(PA), pages 204-219.
  • Handle: RePEc:eee:tefoso:v:90:y:2015:i:pa:p:204-219
    DOI: 10.1016/j.techfore.2014.02.011
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    2. Rensfeldt, Arvid & Pariyawong, Vorapat & Fujii, Hidemichi, 2015. "Corporate environmental management and GHG emissions changes: Empirical study of multinational automobile companies," MPRA Paper 66264, University Library of Munich, Germany.
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    17. Acquaye, Adolf & Ibn-Mohammed, Taofeeq & Genovese, Andrea & Afrifa, Godfred A & Yamoah, Fred A & Oppon, Eunice, 2018. "A quantitative model for environmentally sustainable supply chain performance measurement," European Journal of Operational Research, Elsevier, vol. 269(1), pages 188-205.
    18. Tan, Xiujie & Liu, Yu & Cui, Jingbo & Su, Bin, 2018. "Assessment of carbon leakage by channels: An approach combining CGE model and decomposition analysis," Energy Economics, Elsevier, vol. 74(C), pages 535-545.
    19. Qi, Tianyu & Winchester, Niven & Karplus, Valerie J. & Zhang, Da & Zhang, Xiliang, 2016. "An analysis of China's climate policy using the China-in-Global Energy Model," Economic Modelling, Elsevier, vol. 52(PB), pages 650-660.
    20. Panzone, Luca A. & Lemke, Fred & Petersen, Henry L., 2016. "Biases in consumers' assessment of environmental damage in food chains and how investments in reputation can help," Technological Forecasting and Social Change, Elsevier, vol. 111(C), pages 327-337.
    21. Fragkos, Panagiotis & Kouvaritakis, Nikos, 2018. "Model-based analysis of Intended Nationally Determined Contributions and 2 °C pathways for major economies," Energy, Elsevier, vol. 160(C), pages 965-978.
    22. Kriegler, Elmar & Riahi, Keywan & Bauer, Nico & Schwanitz, Valeria Jana & Petermann, Nils & Bosetti, Valentina & Marcucci, Adriana & Otto, Sander & Paroussos, Leonidas & Rao, Shilpa & Arroyo Currás, T, 2015. "Making or breaking climate targets: The AMPERE study on staged accession scenarios for climate policy," Technological Forecasting and Social Change, Elsevier, vol. 90(PA), pages 24-44.
    23. Fragkos, Panagiotis & Fragkiadakis, Kostas & Paroussos, Leonidas & Pierfederici, Roberta & Vishwanathan, Saritha S. & Köberle, Alexandre C. & Iyer, Gokul & He, Chen-Min & Oshiro, Ken, 2018. "Coupling national and global models to explore policy impacts of NDCs," Energy Policy, Elsevier, vol. 118(C), pages 462-473.
    24. Ahmann, Lara & Banning, Maximilian & Lutz, Christian, 2022. "Modeling rebound effects and counteracting policies for German industries," Ecological Economics, Elsevier, vol. 197(C).

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    More about this item

    Keywords

    Carbon leakage; General equilibrium; Climate policy; GEM-E3; Industry relocation;
    All these keywords.

    JEL classification:

    • D58 - Microeconomics - - General Equilibrium and Disequilibrium - - - Computable and Other Applied General Equilibrium Models
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy

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