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Offset Credits in the EU ETS: A Quantile Estimation of Firm-Level Transaction Costs

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  • Naegele, Helene

Abstract

International carbon offset certificates were cheaper than European Union Allowances, although they were substitutes within the EU Emissions Trading System (EU ETS). Thus, firms had a strong incentive to use offset certificates. However, a considerable number of firms did not exhaust their offset quota and, by doing so, seemingly forwent profits. While most literature on emissions trading evaluates the efficiency of regulation in a frictionless world, in practice firms incur costs when complying with regulation. In order to assess the relevance of trade-related fixed transaction costs, this study examines the use of international offset credits in the EU ETS. It establishes a model of firm decision under fixed (quantity-invariant) entry costs and estimates the size of such costs rationalizing firm behavior using semi-parametric binary quantile regressions. Comparing binary quantile results with probit estimates shows that high average transaction costs result from a strongly skewed underlying distribution. For most firms, the bulk of transaction costs stems from certificate trading in general, rather than additional participation in offset trading.

Suggested Citation

  • Naegele, Helene, 2018. "Offset Credits in the EU ETS: A Quantile Estimation of Firm-Level Transaction Costs," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 70(1), pages 77-106.
    • Handle: RePEc:zbw:espost:225347
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    References listed on IDEAS

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    Cited by:

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    2. Maogang Tang & Silu Cheng & Wenqing Guo & Weibiao Ma & Fengxia Hu, 2023. "Relationship between carbon emission trading schemes and companies’ total factor productivity: evidence from listed companies in China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(10), pages 11735-11767, October.
    3. Tang, Ling & Wang, Haohan & Li, Ling & Yang, Kaitong & Mi, Zhifu, 2020. "Quantitative models in emission trading system research: A literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 132(C).
    4. Jan Abrell & Johanna Cludius & Sascha Lehmann & Joachim Schleich & Regina Betz, 2022. "Corporate Emissions-Trading Behaviour During the First Decade of the EU ETS," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 83(1), pages 47-83, September.
    5. Flori, Andrea & Borghesi, Simone & Marin, Giovanni, 2024. "The environmental-financial performance nexus of EU ETS firms: A quantile regression approach," Energy Economics, Elsevier, vol. 131(C).
    6. Aleksandar Zaklan, 2020. "Coase and Cap-and-Trade: Evidence on the Independence Property from the European Electricity Sector," Discussion Papers of DIW Berlin 1850, DIW Berlin, German Institute for Economic Research.

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    More about this item

    Keywords

    Binary quantile estimation; CDM; Carbon emissions trading; Entry costs; EU ETS; Offset certificates; Semi-parametric estimation; Transaction costs;
    All these keywords.

    JEL classification:

    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • D23 - Microeconomics - - Production and Organizations - - - Organizational Behavior; Transaction Costs; Property Rights
    • H23 - Public Economics - - Taxation, Subsidies, and Revenue - - - Externalities; Redistributive Effects; Environmental Taxes and Subsidies
    • Q58 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Government Policy

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