Simulating Personal Carbon Trading: An Agent-Based Model
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References listed on IDEAS
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Cited by:
- Lee, Timothy & Yao, Runming, 2013. "Incorporating technology buying behaviour into UK-based long term domestic stock energy models to provide improved policy analysis," Energy Policy, Elsevier, vol. 52(C), pages 363-372.
- Marek, Ewelina & Raux, Charles & Engelmann, Dirk, 2018.
"Personal carbon allowances: Can a budget label do the trick?,"
Transport Policy, Elsevier, vol. 69(C), pages 170-178.
- Ewelina Marek & Charles Raux & Dirk Engelmann, 2018. "Personal carbon allowances: Can a budget label do the trick?," Post-Print halshs-02125850, HAL.
- Lee, Timothy & Yao, Runming & Coker, Phil, 2014. "An analysis of UK policies for domestic energy reduction using an agent based tool," Energy Policy, Elsevier, vol. 66(C), pages 267-279.
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More about this item
Keywords
Agent-based modelling; personal carbon trading; household behaviour; tradable permit markets;All these keywords.
JEL classification:
- C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
- D01 - Microeconomics - - General - - - Microeconomic Behavior: Underlying Principles
- O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
- Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices
- Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming
- Q55 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Technological Innovation
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