Evaluating CO 2 reduction policy mixes in the automotive sector
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DOI: 10.1016/j.eist.2013.10.001
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Cited by:
- Hongjun Guan & Zhen Zhang & Aiwu Zhao & Shuang Guan, 2019. "Simulating Environmental Innovation Behavior of Private Enterprise with Innovation Subsidies," Complexity, Hindawi, vol. 2019, pages 1-12, May.
- Juana Castro & Stefan Drews & Filippos Exadaktylos & Joël Foramitti & Franziska Klein & Théo Konc & Ivan Savin & Jeroen van den Bergh, 2020. "A review of agent‐based modeling of climate‐energy policy," Wiley Interdisciplinary Reviews: Climate Change, John Wiley & Sons, vol. 11(4), July.
- Christoph Mazur & Gregory J. Offer & Marcello Contestabile & Nigel Brandon Brandon, 2018. "Comparing the Effects of Vehicle Automation, Policy-Making and Changed User Preferences on the Uptake of Electric Cars and Emissions from Transport," Sustainability, MDPI, vol. 10(3), pages 1-19, March.
- Di Domenico, Lorenzo & Raberto, Marco & Safarzynska, Karolina, 2023. "Resource scarcity, circular economy and the energy rebound: A macro-evolutionary input-output model," Energy Economics, Elsevier, vol. 128(C).
- Nuñez-Jimenez, Alejandro & Knoeri, Christof & Hoppmann, Joern & Hoffmann, Volker H., 2022. "Beyond innovation and deployment: Modeling the impact of technology-push and demand-pull policies in Germany's solar policy mix," Research Policy, Elsevier, vol. 51(10).
- Foramitti, Joël & Savin, Ivan & van den Bergh, Jeroen C.J.M., 2021. "Emission tax vs. permit trading under bounded rationality and dynamic markets," Energy Policy, Elsevier, vol. 148(PB).
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Keywords
Agent-based simulation; CO 2 emissions; Low emission vehicle technologies; Policy mix; Technological change; Transition;All these keywords.
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