How efficiently do U.S. cities manage roadway congestion?
Anthony Glass (),
Karligash Kenjegalieva () and
Robin Sickles
Journal of Productivity Analysis, 2013, vol. 40, issue 3, 407-428
Abstract:
We estimate efficiency and TFP growth for two measures of congestion and two measures of the monetary value of congestion for the largest 88 contiguous cities in the U.S. over the period 1982–2007. Using stochastic frontier analysis we find that the efficiency scores for congestion and the associated ranking of cities is sensitive to the measure of congestion. In contrast, the efficiency scores and rankings are robust for the two measures of the monetary value of congestion. Most importantly, for the most valid measure of congestion and both measures of the monetary value of congestion, we find that average TFP growth over the study period is characterized by an upward trend. This is an encouraging sign even though in all three cases growth is only zero or slightly less than zero at the end of the study period. We therefore conclude that policies which have been used towards the end of the study period such as providing incentives to carpool and encouraging employers to offer flexi-time and telecommuting arrangements appear to have been effective and should be implemented more widely. Copyright Springer Science+Business Media, LLC 2013
Keywords: Congestion; Monetary value of congestion; Panel data; Stochastic frontier analysis; Input distance function; TFP; C23; R41 (search for similar items in EconPapers)
Date: 2013
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://hdl.handle.net/10.1007/s11123-012-0288-9 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:kap:jproda:v:40:y:2013:i:3:p:407-428
Ordering information: This journal article can be ordered from
http://www.springer. ... cs/journal/11123/PS2
DOI: 10.1007/s11123-012-0288-9
Access Statistics for this article
Journal of Productivity Analysis is currently edited by William Greene, Chris O'Donnell and Victor Podinovski
More articles in Journal of Productivity Analysis from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().