Modelling and understanding regulatory fit

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Bibliographic Details
Title: Modelling and understanding regulatory fit
Authors: Ann van Ackere, Erik R. Larsen
Source: van Ackere, A & Larsen, E R 2025, 'Modelling and Understanding Regulatory Fit', Energy Systems: Optimization, Modeling, Simulation, and Economic Aspects. https://doi.org/10.1007/s12667-025-00722-x
Publisher Information: Springer Science and Business Media LLC, 2025.
Publication Year: 2025
Subject Terms: Regulatory misfits, Electricity regulation, Modelling, Simulation
Description: Understanding how regulatory interventions shape electricity markets is essential. We posit that regulation is a behavioural adaptive process, influenced by internal and external forces. We develop a system dynamics model to explore the interdependencies between regulators' reactivity, their willingness to initiate major regulatory overhauls, and market reactivity. This creates an improved understanding of the behavioural aspects of regulation, thereby putting regulators in a better position to avoid misfits often observed in the regulation of infrastructure. The model highlights the dilemma regulators face when deciding when and how to intervene. While frequent regulatory changes are detrimental, creating a constant level of uncertainty, opting for fewer, larger, changes increases the volatility of the uncertainty perceived by the market participants. The former seems preferable, with a constant level of moderate uncertainty becoming a new normal: market participants can learn to work in this environment, without having to worry about large unpredictable changes. This stylised model thus provides a better understanding of the problems facing regulators, both in the electricity sector and in other regulated industries characterised by significant lags between a changing reality and the regulatory consequences.
Document Type: Article
Language: English
ISSN: 1868-3975
1868-3967
DOI: 10.1007/s12667-025-00722-x
Rights: CC BY
Accession Number: edsair.doi.dedup.....3acd69dc981b9e2bc4be17d9e55f6a3b
Database: OpenAIRE
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