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How vulnerable is the emissions market to transaction costs?: An ABMS Approach

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  • Lee, Kangil
  • Han, Taek-Whan

Abstract

The impact of transaction costs on the early emissions trading market is examined by applying an agent-based model and simulation (ABMS) approach. For a realistic model set up, bounded rationality, stochastic characteristics, and learning-by-doing are considered in our search processes. Marginal abatement cost parameters are obtained from Yoo et al. (2010), which is an experimental study on the emissions trading in the Korean power sector. Sensitivity analyses are performed on market performance indices with regard to transaction cost parameters, which represent scales and the learning elasticities of transaction costs. A total of 960 simulations were run in this sensitivity analysis. Sensitivity analysis results consistently show that higher transaction costs worsen market performance. The most remarkable finding in these results is that welfare performance of all the transactions decreases by up to 50% as the scale parameters of transaction costs increase, implying that welfare gain from introducing emissions trading disappears significantly. However, with learning curve effect, welfare performance could be regained by up to 26%. In sum, although transaction costs significantly encroach upon trade gains at the early stage, based on our simulation results, the welfare loss by way of transaction costs is lessened as the knowledge of market participants progresses.

Suggested Citation

  • Lee, Kangil & Han, Taek-Whan, 2016. "How vulnerable is the emissions market to transaction costs?: An ABMS Approach," Energy Policy, Elsevier, vol. 90(C), pages 273-286.
  • Handle: RePEc:eee:enepol:v:90:y:2016:i:c:p:273-286
    DOI: 10.1016/j.enpol.2015.12.013
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    1. LeBaron, Blake, 2000. "Agent-based computational finance: Suggested readings and early research," Journal of Economic Dynamics and Control, Elsevier, vol. 24(5-7), pages 679-702, June.
    2. Karl Ludwig Keiber, 2008. "Price discovery in the presence of boundedly rational agents," Quantitative Finance, Taylor & Francis Journals, vol. 8(3), pages 235-249.
    3. W. Brian Arthur, 1994. "Inductive Reasoning, Bounded Rationality and the Bar Problem," Working Papers 94-03-014, Santa Fe Institute.
    4. Jaehn, Florian & Letmathe, Peter, 2010. "The emissions trading paradox," European Journal of Operational Research, Elsevier, vol. 202(1), pages 248-254, April.
    5. Suren Basov, 2005. "Bounded rationality: static versus dynamic approaches," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 25(4), pages 871-885, June.
    6. Arthur, W Brian, 1991. "Designing Economic Agents that Act Like Human Agents: A Behavioral Approach to Bounded Rationality," American Economic Review, American Economic Association, vol. 81(2), pages 353-359, May.
    7. Stavins Robert N., 1995. "Transaction Costs and Tradeable Permits," Journal of Environmental Economics and Management, Elsevier, vol. 29(2), pages 133-148, September.
    8. Arthur, W Brian, 1994. "Inductive Reasoning and Bounded Rationality," American Economic Review, American Economic Association, vol. 84(2), pages 406-411, May.
    9. Wall, Kent D., 1993. "A model of decision making under bounded rationality," Journal of Economic Behavior & Organization, Elsevier, vol. 20(3), pages 331-352, April.
    10. Tesfatsion, Leigh, 2001. "Introduction to the special issue on agent-based computational economics," Journal of Economic Dynamics and Control, Elsevier, vol. 25(3-4), pages 281-293, March.
    11. Klos, Tomas B. & Nooteboom, Bart, 2001. "Agent-based computational transaction cost economics," Journal of Economic Dynamics and Control, Elsevier, vol. 25(3-4), pages 503-526, March.
    12. Lata Gangadharan, 2000. "Transaction Costs in Pollution Markets: An Empirical Study," Land Economics, University of Wisconsin Press, vol. 76(4), pages 601-614.
    13. Ghosal, Sayantan & Porter, James, 2013. "Decentralised exchange, out-of-equilibrium dynamics and convergence to efficiency," Mathematical Social Sciences, Elsevier, vol. 66(1), pages 1-21.
    14. Alfarano, Simone & Lux, Thomas & Wagner, Friedrich, 2006. "Estimation of a simple agent-based model of financial markets: An application to Australian stock and foreign exchange data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 370(1), pages 38-42.
    15. Jamasb, T. & Köhler, J., 2007. "Learning Curves For Energy Technology and Policy Analysis: A Critical Assessment," Cambridge Working Papers in Economics 0752, Faculty of Economics, University of Cambridge.
    16. Arthur, W. Brian, 2006. "Out-of-Equilibrium Economics and Agent-Based Modeling," Handbook of Computational Economics,in: Leigh Tesfatsion & Kenneth L. Judd (ed.), Handbook of Computational Economics, edition 1, volume 2, chapter 32, pages 1551-1564 Elsevier.
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    Cited by:

    1. Pablo Pintos & Pedro Linares, 2016. "Assessing the EU ETS with an Integrated Model," Working Papers 01-2016, Economics for Energy.
    2. repec:eee:enepol:v:118:y:2018:i:c:p:232-244 is not listed on IDEAS

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