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Policy insights and modelling challenges: The case of passenger car powertrain technology transition in the European Union

机译:政策见解和建模挑战:欧盟乘用车动力总成技术转型案例

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摘要

Purpose: We are interested in what policy insights can be transferred from EU countries that have been most successful in introducing EVs to those that are debating policy options. As we use a model to explore this, we are also interested in the application of modelling, seeking to understand if real world policies and results can be replicated in a model and, more generally, the challenges to the use of modelling in policy appraisal. Methods: We use the EC-JRC Powertrain Technology Transition Market Agent Model (PTTMAM), a system dynamics model based around the interactions of conceptual market agent groups in the EU. We perform iterative scenario tests to replicate the policies carried out in the Netherlands and the UK in recent years in an attempt to achieve similar results in EV sales. We then transfer the policy scenarios to other EU member states and assess the transferability of the policies. Results: Reasonable approximations of the Netherlands and UK EV policies and sales were achieved and implemented in other EU member states. Conclusion: We find that the PTTMAM is fit-for-purpose and can replicate successful policies to a certain degree. Policy success is sensitive to country specific conditions, and a system dynamics model like the PTTMAM can help identify which conditions react to which policy stimulus. There are challenges to modelling in policy appraisal, such as the subjectivity of the modeller and flexibility to specific conditions, which must be kept transparent for the model to be a relevant tool for policy making.
机译:目的:我们对可以从成功将电动汽车引入到正在讨论政策选择的国家中最成功的欧盟国家转移哪些政策见解感兴趣。当我们使用模型进行探索时,我们也对建模的应用感兴趣,试图了解现实世界中的政策和结果是否可以在模型中复制,并且更广泛地讲,是在策略评估中使用建模的挑战。方法:我们使用EC-JRC动力总成技术过渡市场代理人模型(PTTMAM),这是一个基于欧盟概念性市场代理人群体之间相互作用的系统动力学模型。我们进行反复的情景测试,以复制近年来在荷兰和英国实施的政策,以期在电动汽车销售中取得相似的结果。然后,我们将政策情景转移到其他欧盟成员国,并评估政策的可转移性。结果:在其他欧盟成员国中实现并实施了荷兰和英国电动汽车政策和销售的合理近似值。结论:我们发现PTTMAM非常适合目标,并且可以在一定程度上复制成功的策略。政策成功对特定国家/地区的条件敏感,并且像PTTMAM这样的系统动力学模型可以帮助确定哪些条件对哪种政策刺激做出反应。政策评估中的建模存在挑战,例如建模者的主观性和对特定条件的灵活性,必须保持透明性,以使模型成为决策的相关工具。

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    Harrison G; Thiel C;

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  • 年度 2017
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