Please use this identifier to cite or link to this item: http://elar.urfu.ru/handle/10995/131176
Title: Emission tax vs. permit trading under bounded rationality and dynamic markets
Authors: Foramitti, J.
Savin, I.
van, den, Bergh, J. C. J. M.
Issue Date: 2022
Publisher: Elsevier Ltd
Citation: Foramitti, J, Savin, I & van den Bergh, JCJM 2021, 'Emission tax vs. permit trading under bounded rationality and dynamic markets', Energy Policy, Том. 148, 112009. https://doi.org/10.1016/j.enpol.2020.112009
Foramitti, J., Savin, I., & van den Bergh, J. C. J. M. (2021). Emission tax vs. permit trading under bounded rationality and dynamic markets. Energy Policy, 148, [112009]. https://doi.org/10.1016/j.enpol.2020.112009
Abstract: A price on emissions can be achieved through an emission tax or permit trading. The advantages and drawbacks of either instrument are debated. We present an agent-based model to compare their performance under bounded rationality and dynamic markets. It describes firms that face uncertainty about future demand and prices; use heuristic rules to decide production levels, trading prices, and technology adoption; and are heterogeneous in terms of production factors, abatement costs, and trading behavior. Using multiple evaluation criteria and a wide range of parameter values, we find that the main difference between the two policies lies in the fact that permit prices fall after successful abatement. This can lead to higher production levels under permit trading, but can also drive emission-efficient firms out of the market. Scarcity rents under permit trading can further create higher profit rates for firms, the extent of which is shown to depend on the mechanisms for market-clearing and initial allocation. © 2020 Elsevier Ltd
Keywords: ABATEMENT
AGENT-BASED MODELING
CARBON TAX
CLIMATE POLICY
EMISSION TRADING
TRACHINOTUS FALCATUS
AUTONOMOUS AGENTS
BEHAVIORAL RESEARCH
COMMERCE
COMPUTATIONAL METHODS
AGENT-BASED MODEL
BOUNDED RATIONALITY
EVALUATION CRITERIA
INITIAL ALLOCATIONS
MARKET CLEARING
PRODUCTION FACTORS
PRODUCTION LEVEL
TECHNOLOGY ADOPTION
ABATEMENT COST
DEMAND ANALYSIS
EMISSIONS TRADING
ENERGY MARKET
ENERGY POLICY
ENVIRONMENTAL POLICY
POLLUTION TAX
COSTS
URI: http://elar.urfu.ru/handle/10995/131176
Access: info:eu-repo/semantics/openAccess
RSCI ID: 45181327
SCOPUS ID: 85096231887
WOS ID: 000600550600029
PURE ID: 20114813
adf20121-c682-430e-a7af-e5a4911f2c55
ISSN: 0301-4215
DOI: 10.1016/j.enpol.2020.112009
metadata.dc.description.sponsorship: Horizon 2020 Framework Programme, H2020
European Research Council, ERC
Russian Science Foundation, RSF, (19-18-00262)
Horizon 2020, (741087)
Funding text 1: This study has received funding through an ERC Advanced Grant from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement n°741087 ). I.S. acknowledges financial support from the Russian Science Foundation [RSF grant number 19-18-00262 ].
Funding text 2: This study has received funding through an ERC Advanced Grant from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement n?741087). I.S. acknowledges financial support from the Russian Science Foundation [RSF grant number 19-18-00262].
RSCF project card: 19-18-00262
Appears in Collections:Научные публикации ученых УрФУ, проиндексированные в SCOPUS и WoS CC

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