TvsP_ABM | based model to evaluate and compare the performance
kandi X-RAY | TvsP_ABM Summary
kandi X-RAY | TvsP_ABM Summary
TvsP_ABM is a Jupyter Notebook library. TvsP_ABM has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.
Foramitti, J., Savin, I., & van den Bergh, J. (2021). Emission tax vs. permit trading under bounded rationality and dynamic markets. Energy Policy, 148, 112009. 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. Abatement; Agent-based Modeling; Climate Policy; Carbon Tax; Emission trading.
Foramitti, J., Savin, I., & van den Bergh, J. (2021). Emission tax vs. permit trading under bounded rationality and dynamic markets. Energy Policy, 148, 112009. 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. Abatement; Agent-based Modeling; Climate Policy; Carbon Tax; Emission trading.
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TvsP_ABM has a low active ecosystem.
It has 2 star(s) with 0 fork(s). There are 1 watchers for this library.
It had no major release in the last 6 months.
TvsP_ABM has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of TvsP_ABM is current.
Quality
TvsP_ABM has no bugs reported.
Security
TvsP_ABM has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
TvsP_ABM is licensed under the MIT License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
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TvsP_ABM releases are not available. You will need to build from source code and install.
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TvsP_ABM Key Features
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TvsP_ABM Examples and Code Snippets
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