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EU ETS Facets in the Net: How Account Types Influence the Structure of the System

Author

Listed:
  • Simone Borghesi

    (University of Siena, Department of International and Political Sciences, Italy)

  • Andrea Flori

    (IMT Institute for Advanced Studies Lucca, Italy)

Abstract

In this work, we investigate which countries have been more central during Phases I and II of the European Emission Trading Scheme (EU ETS) with respect to the different types of accounts operating in the system. We borrow a set of centrality measures from Network Theory's tools to describe how the structure of the system has evolved over time and to identify which countries have been in the core or in the periphery of the network. In doing this, we investigate by means of extensive partitions on the different types of accounts and transactions characterizing the EU ETS whether the role of intermediaries (approximated by Person Holding Accounts - PHAs) has affected the overall structure of the system. Preliminary findings over the period 2005-2012 suggest that PHAs have played a prominent role in the transaction of permits, heavily influencing the configuration of the system. This motivates further research on the impact of non-regulated entities in the EU ETS design.

Suggested Citation

  • Simone Borghesi & Andrea Flori, 2016. "EU ETS Facets in the Net: How Account Types Influence the Structure of the System," Working Papers 2016.08, Fondazione Eni Enrico Mattei.
    • Handle: RePEc:fem:femwpa:2016.08
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    References listed on IDEAS

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    Cited by:

    1. Schleich, Joachim & Lehmann, Sascha & Cludius, Johanna & Abrell, Jan & Betz, Regina Annette & Pinkse, Jonatan, 2020. "Active or passive? Companies' use of the EU ETS," Working Papers "Sustainability and Innovation" S07/2020, Fraunhofer Institute for Systems and Innovation Research (ISI).

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    More about this item

    Keywords

    Emission Trading; EU ETS; European Union Transaction Log (EUTL) data; Account and Transaction Types; Network Analysis; Centrality Measures;
    All these keywords.

    JEL classification:

    • C45 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Neural Networks and Related Topics
    • D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation
    • L14 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Transactional Relationships; Contracts and Reputation
    • Q48 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Government Policy
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming
    • Q58 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Government Policy

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