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Sectoral and regional expansion of emissions trading

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We consider an international emissions trading scheme with partial sectoral and regional coverage. Sectoral and regional expansion of the trading scheme is beneficial in aggregate, but not necessarily for individual countries. We simulate international CO2 emission quota markets using marginal abatement cost functions and the Copenhagen 2020 climate policy targets for selected countries that strategically allocate emissions in a bid to manipulate the quota price. Quota exporters and importers generally have conflicting interests about admitting more countries to the trading coalition, and our results indicate that some countries may lose substantially when the coalition expands in terms of new countries. For a given coalition, expanding sectoral coverage makes most countries better off, but some countries (notably the USA and Russia) may lose out due to loss of strategic advantages. In general, exporters tend to have stronger strategic power than importers.

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  • Christoph Böhringer & Bouwe Dijkstra & Knut Einar Rosendahl, 2011. "Sectoral and regional expansion of emissions trading," Discussion Papers 654, Statistics Norway, Research Department.
    • Handle: RePEc:ssb:dispap:654
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    8. Pang, Jun & Timilsina, Govinda, 2021. "How would an emissions trading scheme affect provincial economies in China: Insights from a computable general equilibrium model," Renewable and Sustainable Energy Reviews, Elsevier, vol. 145(C).
    9. Burmeister, Johannes & Peterson, Sonja, 2016. "National climate policies in times of the European Union Emissions Trading System (EU ETS)," Kiel Working Papers 2052, Kiel Institute for the World Economy (IfW Kiel).
    10. Wang, Xu & Zhu, Lei & Fan, Ying, 2018. "Transaction costs, market structure and efficient coverage of emissions trading scheme: A microlevel study from the pilots in China," Applied Energy, Elsevier, vol. 220(C), pages 657-671.
    11. Vicki Duscha & Everett B. Peterson & Joachim Schleich & Katja Schumacher, 2019. "Sectoral Targets To Address Competitiveness — A Cge Analysis With Focus On The Global Steel Sector," Climate Change Economics (CCE), World Scientific Publishing Co. Pte. Ltd., vol. 10(01), pages 1-27, February.
    12. Costantini, Valeria & D'Amato, Alessio & Martini, Chiara & Tommasino, Maria Cristina & Valentini, Edilio & Zoli, Mariangela, 2013. "Taxing international emissions trading," Energy Economics, Elsevier, vol. 40(C), pages 609-621.
    13. Idiano D’Adamo, 2018. "The Profitability of Residential Photovoltaic Systems. A New Scheme of Subsidies Based on the Price of CO 2 in a Developed PV Market," Social Sciences, MDPI, vol. 7(9), pages 1-21, August.
    14. Christoph Boehringer & Carolyn Fischer, 2020. "Kill Bill or Tax: An Analysis of Alternative CO2 Price Floor Optionsfor EU Member States," Working Papers V-432-20, University of Oldenburg, Department of Economics, revised Oct 2020.
    15. Böhringer, Christoph & Fischer, Carolyn, 2023. "Tax, kill or bill: An analysis of unilateral CO2 price floor options in multilateral emissions trading systems," Journal of Environmental Economics and Management, Elsevier, vol. 119(C).
    16. Xia, Yan & Tang, Zhipeng, 2017. "The impacts of emissions accounting methods on an imperfect competitive carbon trading market," Energy, Elsevier, vol. 119(C), pages 67-76.
    17. Baochen Yang & Chuanze Liu & Yunpeng Su & Xin Jing, 2017. "The Allocation of Carbon Intensity Reduction Target by 2020 among Industrial Sectors in China," Sustainability, MDPI, vol. 9(1), pages 1-19, January.
    18. Jiang, Jingjing & Xie, Dejun & Ye, Bin & Shen, Bo & Chen, Zhanming, 2016. "Research on China’s cap-and-trade carbon emission trading scheme: Overview and outlook," Applied Energy, Elsevier, vol. 178(C), pages 902-917.
    19. Johannes Ziesmer & Ding Jin & Sneha D Thube & Christian Henning, 2023. "A Dynamic Baseline Calibration Procedure for CGE models," Computational Economics, Springer;Society for Computational Economics, vol. 61(4), pages 1331-1368, April.
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    More about this item

    Keywords

    Emissions Trading; Allocation of Quotas; Strategic Behavior;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games
    • Q25 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Water

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