Wheat, P orcid.org/0000-0003-0659-5052 (2017) Scale, quality and efficiency in road maintenance: Evidence for English local authorities. Transport Policy, 59. pp. 46-53. ISSN 0967-070X
Abstract
This paper outlines the first econometric stochastic frontier efficiency analysis of road maintenance costs for local authorities in England in the academic literature. It is motivated by current public sector austerity requiring local authorities to provide efficient highway functions both in terms of learning from best practice (economic efficiency) and potential reorganisation to exploit economies of scale (scale efficiency). The analysis utilises a road condition measure and an end user (public) satisfaction indicator as well as road length and traffic factors. The availability of public satisfaction data is particularly important as incorporation of such a measure into benchmarking is currently in its infancy in economic regulation but is increasing in prominence, such as in regulation of health care. Evidence is found for an optimal road length which has implications for the current trend to merge the delivery of highways services across local authorities. Bigger is not necessarily better. A positive relationship is found between public satisfaction and cost which is strongest for very low or high public satisfaction. Finally, the median cost efficiency is 83% which implies many authorities have the opportunity to save substantial sums by adopting best practice without reducing service quality.
Metadata
Item Type: | Article |
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Authors/Creators: | |
Copyright, Publisher and Additional Information: | © 2017 Published by Elsevier Ltd. This is an author produced version of a paper published in Transport Policy. Uploaded in accordance with the publisher's self-archiving policy. |
Dates: |
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Institution: | The University of Leeds |
Funding Information: | Funder Grant number Highways Agency Not Known Measure2Improve Not Known Measure2Improve M2I |
Depositing User: | Symplectic Publications |
Date Deposited: | 12 Jun 2017 11:31 |
Last Modified: | 10 Jul 2018 00:38 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.tranpol.2017.06.002 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:117558 |
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