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Implementing incentive regulation through an alignment with resource bounded regulators

Author

Listed:
  • Jean-Michel Glachant

    (ADIS - Analyse des Dynamiques Industrielles et Sociales - UP11 - Université Paris-Sud - Paris 11 - Département d'Economie)

  • Haikel Khalfallah

    (équipe EDDEN - PACTE - Pacte, Laboratoire de sciences sociales - UPMF - Université Pierre Mendès France - Grenoble 2 - UJF - Université Joseph Fourier - Grenoble 1 - IEPG - Sciences Po Grenoble - Institut d'études politiques de Grenoble - CNRS - Centre National de la Recherche Scientifique)

  • Yannick Perez

    (LdP - Loyola de Palacio Programme - EUI - European University Institute)

  • Vincent Rious

    (E3S - Supélec Sciences des Systèmes - Ecole Supérieure d'Electricité - SUPELEC (FRANCE))

  • Marcelo Saguan

    (Chercheur indépendant)

Abstract

It is puzzling today to explain both the diversity and the rationale of regulators' practice vis-à-vis network monopolies. We argue that two fundamental characteristics should be considered when defining the most appropriate regulatory tools. First, it is the bounded endowment of regulators set by governments and legislators which determines their abilities (staff, budget, administrative powers) to implement any of the regulatory tools. Ranked from the easiest to the most demanding to implement, these various tools are: a- cost plus, b- price/revenue cap, c- output or performance-based regulation, d- menu of contracts and e- yardstick competition. Second, the regulators also have to take into account that the network monopolies perform multiple tasks with heterogeneous regulatory characteristics (in terms of controllability, ex ante predictability and ex post observability). These characteristics of tasks determine what type of regulatory tool is more likely to better regulate each task. The regulatory tools then perform well only when they are implemented for tasks that are controllable and predictable enough. It is the kind of observability of these tasks which determines the best incentive tool to implement. Lastly, conclusions for the regulation of networks are derived. A workable regulation of network relies on a reasonable alignment of the regulatory tools with the regulatory characteristics of tasks and the regulators resource endowment.

Suggested Citation

  • Jean-Michel Glachant & Haikel Khalfallah & Yannick Perez & Vincent Rious & Marcelo Saguan, 2013. "Implementing incentive regulation through an alignment with resource bounded regulators," Post-Print halshs-00767872, HAL.
  • Handle: RePEc:hal:journl:halshs-00767872
    Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-00767872
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    References listed on IDEAS

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    Cited by:

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    3. Cambini, Carlo & Congiu, Raffaele & Jamasb, Tooraj & Llorca, Manuel & Soroush, Golnoush, 2020. "Energy Systems Integration: Implications for public policy," Energy Policy, Elsevier, vol. 143(C).
    4. Carlo Cambini & Elena Fumagalli & Laura Rondi, 2016. "Incentives to quality and investment: evidence from electricity distribution in Italy," Journal of Regulatory Economics, Springer, vol. 49(1), pages 1-32, February.
    5. Cambini, Carlo & Croce, Annalisa & Fumagalli, Elena, 2014. "Output-based incentive regulation in electricity distribution: Evidence from Italy," Energy Economics, Elsevier, vol. 45(C), pages 205-216.
    6. Antonio Estache, 2016. "Institutions for Infrastructure in Developing Countries: What We Know and the Lot We still Need to Know," Working Papers ECARES ECARES 2016-27, ULB -- Universite Libre de Bruxelles.
    7. Jean-Michel Glachant, 2014. "Governance in Network Industries: Lessons Learnt from New Institutional Economics," RSCAS Working Papers 2014/67, European University Institute.

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    Keywords

    Incentive regulation; bounded regulator; regulatory endowment; network tasks; regulatory alignment;
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