The Marginal Cost of Traffic Congestion and Road Pricing: Evidence from a Natural Experiment in Beijing
Avralt-Od Purevjav () and
Shanjun Li ()
American Economic Journal: Economic Policy, 2020, vol. 12, issue 1, 418-53
Severe traffic congestion is ubiquitous in large urban centers. This paper provides the first causal estimate of the relationship between traffic density and speed and optimal congestion charges using real-time fine-scale traffic data in Beijing. The identification relies on plausibly exogenous variation in traffic density induced by Beijing's driving restriction policy. Optimal congestion charges range from 5 to 39 cents per km depending on time and location. Road pricing would increase traffic speed by 11 percent within the city center and lead to an annual welfare gain of ¥1.5 billion from reduced congestion and revenue of ¥10.5 billion.
JEL-codes: H23 O18 P25 R41 R48 (search for similar items in EconPapers)
References: Add references at CitEc
Citations: View citations in EconPapers (11) Track citations by RSS feed
Downloads: (external link)
Access to full text is restricted to AEA members and institutional subscribers.
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:aea:aejpol:v:12:y:2020:i:1:p:418-53
Ordering information: This journal article can be ordered from
Access Statistics for this article
American Economic Journal: Economic Policy is currently edited by Matthew Shapiro
More articles in American Economic Journal: Economic Policy from American Economic Association Contact information at EDIRC.
Bibliographic data for series maintained by Michael P. Albert ().