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Evaluating the long term impacts of transport policy: The case of bus deregulation revisited

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  • Preston, John
  • Almutairi, Talal

Abstract

In a previous paper in this journal, we suggested that the bus reforms that were implemented in Britain from the mid-1980s onwards were welfare positive for both London and for the rest of Great Britain outside London (Preston & Almutairi, 2013). However, we cautioned that this work was preliminary and likely to be sensitive to various assumptions made. In this paper, we have undertaken more detailed sensitivity analysis as follows. First, we have developed separate demand models for London and for the rest of Great Britain. Secondly, we have developed cost models to determine the extent to which costs are determined by external factors (such as fuel prices) or partially external factors (such as labour costs). Thirdly, we have developed fares models to assess the impact of changes in subsidy, in terms of both revenue support and concessionary fare reimbursements. We have also changed the measurements of consumer surplus so as to be more consistent with underlying economic theory. This work confirms the sensitivity of the long term evaluation of transport policy to assumptions concerning the counterfactual and trends in demand, supply and prices. Any policy lessons inferred from these long term evaluations need to take these sensitivities into account.

Suggested Citation

  • Preston, John & Almutairi, Talal, 2014. "Evaluating the long term impacts of transport policy: The case of bus deregulation revisited," Research in Transportation Economics, Elsevier, vol. 48(C), pages 263-269.
  • Handle: RePEc:eee:retrec:v:48:y:2014:i:c:p:263-269
    DOI: 10.1016/j.retrec.2014.09.051
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    1. Beck, Nathaniel & Katz, Jonathan N., 1995. "What To Do (and Not to Do) with Time-Series Cross-Section Data," American Political Science Review, Cambridge University Press, vol. 89(3), pages 634-647, September.
    2. Peter Romilly, 2001. "Subsidy and Local Bus Service Deregulation in Britain: A Re-evaluation," Journal of Transport Economics and Policy, University of Bath, vol. 35(2), pages 161-193, May.
    3. W. Robert Reed & Haichun Ye, 2007. "A Monte Carlo Evaluation of Some Common Panel Data Estimators when Serial Correlation and Cross-sectional Dependence are Both Present," Working Papers in Economics 07/01, University of Canterbury, Department of Economics and Finance.
    4. Preston, John & Almutairi, Talal, 2013. "Evaluating the long term impacts of transport policy: An initial assessment of bus deregulation," Research in Transportation Economics, Elsevier, vol. 39(1), pages 208-214.
    5. Kennedy, David, 1995. "London bus tendering: a welfare balance," Transport Policy, Elsevier, vol. 2(4), pages 243-249, October.
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    Cited by:

    1. McTigue, Clare & Rye, Tom & Monios, Jason, 2020. "Identifying barriers to implementation of local transport policy – Lessons learned from case studies on bus policy implementation in Great Britain," Transport Policy, Elsevier, vol. 91(C), pages 16-25.
    2. Preston, John, 2023. "All things must pass? Recent changes to competition and ownership in public transport in Great Britain," Research in Transportation Economics, Elsevier, vol. 99(C).
    3. Preston, John, 2016. "Big buses in a small country: The prospects for bus services in Wales," Research in Transportation Economics, Elsevier, vol. 59(C), pages 379-387.
    4. McTigue, Clare & Monios, Jason & Rye, Tom, 2018. "Identifying barriers to implementation of local transport policy: An analysis of bus policy in Great Britain," Utilities Policy, Elsevier, vol. 50(C), pages 133-143.
    5. White, Peter, 2014. "An assessment of the Competition Commission report and subsequent outcomes," Research in Transportation Economics, Elsevier, vol. 48(C), pages 277-285.

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    More about this item

    Keywords

    Local bus; Deregulation; Welfare analysis;
    All these keywords.

    JEL classification:

    • L9 - Industrial Organization - - Industry Studies: Transportation and Utilities
    • R4 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics

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