Vol. 15 No. 3 (2026)
Full Research Articles

How milk quotas and the CAP affect GI Systems: The case of Parmigiano Reggiano PDO

Alberto Giannecchini
Department of Economics and Management, University of Parma, Italy
Lisa Baldi
Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, Italy
Michele Donati
Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, Italy
Filippo Arfini
Department of Economics and Management, University of Parma, Italy

Published 2025-12-14

Keywords

  • agent-based modeling,
  • Positive Mathematical Programing (PMP),
  • agricultural policy,
  • Geographical indications,
  • milk quota

How to Cite

Giannecchini, A., Baldi, L., Donati, M., & Arfini, F. (2025). How milk quotas and the CAP affect GI Systems: The case of Parmigiano Reggiano PDO. Bio-Based and Applied Economics, 15(3), 13–27. https://doi.org/10.36253/bae-18285

Abstract

This article investigates the application of the milk quota system to Geographical Indications (GIs), using the Parmigiano Reggiano PDO cheese as a case study. Firstly, an overview on the empirical context focuses on the evolution of the cheese production under the rules set by the GI-Group. Afterwards, an ex-ante analysis evaluates the impacts of the milk quota rules under the CAP 2023-2027 scheme on the Parmigiano Reggiano PDO production system. The latter assessment is addressed through an Agent-Based Model based on the Positive Mathematical Programming approach. The results indicate that the quota system leads to a concentration of production in larger dairy farms, with environmental and social effects that negatively impact the sustainable rural development model advocated by the Common Agricultural Policy.

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