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A multi-level governance response to the Covid-19 crisis in public transport

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  • Hirschhorn, Fabio

Abstract

This paper examines the Dutch policy reaction to the financial crisis in the public transport sector caused by Covid-19. Using the multi-level governance theory complemented with the notion of informal governance, the analysis explains the decision-making that defined a State-aid scheme to public transport operators following a process of consultation and concertation between state and non-state actors across governance tiers. To agree on a financial rescue package, these actors engage in front-stage and back-stage political interactions, constrained and enabled by formal and informal governance structures and practices. By analyzing how the interplay between the political mobilization of actors, policy-making arrangements, and existing polity structures shapes political alignment around the financial support scheme, the paper concludes that the crisis did not change customary governance and policy-making practices. Stakeholders sought their usual partners and followed existing routines in path-dependent ways to address the policy challenge brought by Covid-19. Despite being triggered by a major exogenous shock, the policy response to the crisis was driven mainly by endogenous forces; the decision-making mechanism remained the same and the network of actors did not shrink or expand.

Suggested Citation

  • Hirschhorn, Fabio, 2021. "A multi-level governance response to the Covid-19 crisis in public transport," Transport Policy, Elsevier, vol. 112(C), pages 13-21.
  • Handle: RePEc:eee:trapol:v:112:y:2021:i:c:p:13-21
    DOI: 10.1016/j.tranpol.2021.08.007
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    References listed on IDEAS

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    1. Zhang, Junyi & Hayashi, Yoshitsugu & Frank, Lawrence D., 2021. "COVID-19 and transport: Findings from a world-wide expert survey," Transport Policy, Elsevier, vol. 103(C), pages 68-85.
    2. Hirschhorn, Fabio & Veeneman, Wijnand & van de Velde, Didier, 2019. "Organisation and performance of public transport: A systematic cross-case comparison of metropolitan areas in Europe, Australia, and Canada," Transportation Research Part A: Policy and Practice, Elsevier, vol. 124(C), pages 419-432.
    3. Louise Reardon, 2018. "Networks and problem recognition: advancing the Multiple Streams Approach," Policy Sciences, Springer;Society of Policy Sciences, vol. 51(4), pages 457-476, December.
    4. Hirschhorn, Fabio & van de Velde, Didier & Veeneman, Wijnand & ten Heuvelhof, Ernst, 2020. "The governance of attractive public transport: Informal institutions, institutional entrepreneurs, and problem-solving know-how in Oslo and Amsterdam," Research in Transportation Economics, Elsevier, vol. 83(C).
    5. Vickerman, Roger, 2021. "Will Covid-19 put the public back in public transport? A UK perspective," Transport Policy, Elsevier, vol. 103(C), pages 95-102.
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    Cited by:

    1. Liping Ge & Stefan Voß & Lin Xie, 2022. "Robustness and disturbances in public transport," Public Transport, Springer, vol. 14(1), pages 191-261, March.
    2. Christidis, Panayotis & Navajas Cawood, Elena & Fiorello, Davide, 2022. "Challenges for urban transport policy after the Covid-19 pandemic: Main findings from a survey in 20 European cities," Transport Policy, Elsevier, vol. 129(C), pages 105-116.
    3. Zhang, Junyi & Hayashi, Yoshitsugu, 2022. "Research frontier of COVID-19 and passenger transport: A focus on policymaking," Transport Policy, Elsevier, vol. 119(C), pages 78-88.
    4. Yves Kashiya & Joel Ekofo & Chrispin Kabanga & Irene Agyepong & Wim Van Damme & Sara Van Belle & Fidele Mukinda & Faustin Chenge, 2023. "Multilevel Governance and Control of the COVID-19 Pandemic in the Democratic Republic of Congo: Learning from the Four First Waves," IJERPH, MDPI, vol. 20(3), pages 1-22, January.

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