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A Dynamic Model for Firm-Response to Non-Credible Incentive Regulation Regimes

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  • AGRELL, Per J.
  • GRIFELL-TATJÉ, Emili

Abstract

Economic network regulation increasingly use quantitative performance models (from econometrics and engineering) to set revenues. In theory, high-powered incentive regulation, such as revenue-caps, induces firms to cost-efficient behavior independent of underlying model. However, anecdotal evidence shows regulated firms occasionally maintaining cost-inefficiency under incentive regulation even under slumping profitability. We present a model for firm-level efficiency under a regime with a probability of failure explaining this phenomenon. The model is based on the hypothesis that the regulatory choice of method can be associated with intrinsic flaws leading to judicial repeal and replacement of it by a low-powered regime. The results show that the cost efficiency policy is proportional to the type of firm (cost of effort), value of time (discount factor) and the credibility of the method (risk of failure). A panel data set for 2000–2006 for 128 electricity distributors in Sweden is used to validate the model predictions (radical productivity slowdown, failing profitability and efficiency) at the launch and demise of a non-credible regulation method. The work highlights the fallacy of viewing incentive regulation as a method-independent instrument, a result applicable in any infrastructure regulation.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • AGRELL, Per J. & GRIFELL-TATJÉ, Emili, 2016. "A Dynamic Model for Firm-Response to Non-Credible Incentive Regulation Regimes," LIDAM Reprints CORE 2724, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    • Handle: RePEc:cor:louvrp:2724
    Note: In : Energy Policy, 90, 2016, p. 287–299
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    Cited by:

    1. Agrell, Per J. & Brea-Solís, Humberto, 2017. "Capturing heterogeneity in electricity distribution operations: A critical review of latent class modelling," Energy Policy, Elsevier, vol. 104(C), pages 361-372.
    2. TEUSCH, Jonas, 2016. "Merger Incentives Under Yardstick Competition : a Theoretical Model," LIDAM Discussion Papers CORE 2016037, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    3. Matschoss, Patrick & Bayer, Benjamin & Thomas, Heiko & Marian, Adela, 2019. "The German incentive regulation and its practical impact on the grid integration of renewable energy systems," Renewable Energy, Elsevier, vol. 134(C), pages 727-738.

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