Search Frictions and Efficiency in Decentralized Transport Markets

Giulia Brancaccio, Myrto Kalouptsidi, Theodore Papageorgiou, Nicola Rosaia
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引用次数: 4

Abstract

We explore efficiency and optimal policy in decentralized transport markets, such as taxis, trucks, and bulk shipping. We show that in these markets, search frictions distort the transportation network and the dynamic allocation of carriers over space. We derive explicit and intuitive conditions for efficiency, and show how they translate into efficient pricing rules, or optimal taxes and subsidies for the planner who cannot set prices directly. The results imply that destination-based pricing is essential to attain efficiency. Then, using data from dry bulk shipping, we demonstrate that search frictions lead to a sizeable social loss and substantial misallocation of ships over space. Optimal policy can eliminate about half of the welfare loss. Can a centralizing platform, often arising as a market-based solution to search frictions, do better? Interestingly, the answer is no; although the platform eradicates frictions, it exerts market power thus eroding the welfare gains. Finally, we use two recent interventions in the industry (China’s Belt and Road Initiative and the environmental initiative IMO 2020) to demonstrate that taking into account the efficiency properties of transport markets is germane to any proposed policy.
分散运输市场中的摩擦与效率研究
我们探讨了分散运输市场的效率和最优政策,如出租车、卡车和散货运输。我们表明,在这些市场中,搜索摩擦扭曲了运输网络和承运人在空间上的动态分配。我们推导了效率的明确和直观的条件,并展示了它们如何转化为有效的定价规则,或对不能直接设定价格的计划者的最优税收和补贴。结果表明,基于目的地的定价对于实现效率至关重要。然后,使用干散货航运的数据,我们证明了搜索摩擦导致相当大的社会损失和船舶在空间上的大量错配。最优政策可以消除大约一半的福利损失。一个中心化的平台,通常作为一种基于市场的搜索摩擦解决方案而出现,能做得更好吗?有趣的是,答案是否定的;虽然平台消除了摩擦,但它施加了市场力量,从而侵蚀了福利收益。最后,我们使用了该行业最近的两个干预措施(中国的“一带一路”倡议和IMO 2020环境倡议)来证明,考虑运输市场的效率特性与任何拟议的政策都是密切相关的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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