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Prioritising CAP Intervention Needs: An Improved Cumulative Voting Approach

Author

Listed:
  • Roberto Cagliero

    (Department of Policies and Bio-Economics, Council for Agricultural Research and the Analysis of Agricultural Economics (CREA), 00198 Rome, Italy)

  • Francesco Bellini

    (Department of Agricultural, Forest and Food Sciences (DISAFA), University of Torino, 10095 Grugliasco, Italy)

  • Francesco Marcatto

    (Department of Life Sciences (DSV), University of Trieste, 34128 Trieste, Italy)

  • Silvia Novelli

    (Department of Agricultural, Forest and Food Sciences (DISAFA), University of Torino, 10095 Grugliasco, Italy)

  • Alessandro Monteleone

    (Department of Policies and Bio-Economics, Council for Agricultural Research and the Analysis of Agricultural Economics (CREA), 00198 Rome, Italy)

  • Giampiero Mazzocchi

    (Department of Policies and Bio-Economics, Council for Agricultural Research and the Analysis of Agricultural Economics (CREA), 00198 Rome, Italy)

Abstract

The process to define the 2023–2027 Common Agricultural Policy (CAP) is underway. The implementation model governing the process requires each EU Member State to design a National Strategic Plan to deliver operational actions exploiting the synergies under the two pillars of the policy. Each Plan must be built from an evidence-based needs assessment that undergoes rigorous prioritisation and planning to create comprehensive, integrated, and achievable interventions. In Italy, the success of this planning process requires all interested stakeholders to generate options for the regional authorities who plan, manage, and legislate agricultural activities. This research proposes a decision-making technique, based on the cumulative voting approach, that can be used effectively when multiple persons from different backgrounds and perspectives are engaged in problem-solving and needs prioritisation. The results indicate that the model can be applied both theoretically and practically to prioritise Strategic Plan needs that involve national and regional authorities. Validation of the model allows it to be used in the next consultative processes and for expansion to socioeconomic stakeholders.

Suggested Citation

  • Roberto Cagliero & Francesco Bellini & Francesco Marcatto & Silvia Novelli & Alessandro Monteleone & Giampiero Mazzocchi, 2021. "Prioritising CAP Intervention Needs: An Improved Cumulative Voting Approach," Sustainability, MDPI, vol. 13(7), pages 1-18, April.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:7:p:3997-:d:529685
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    References listed on IDEAS

    as
    1. Mary Carey, 2019. "The Common Agricultural Policy's New Delivery Model Post‐2020: National Administration Perspective," EuroChoices, The Agricultural Economics Society, vol. 18(1), pages 11-17, April.
    2. Bhagat, Sanjai & Brickley, James A, 1984. "Cumulative Voting: The Value of Minority Shareholder Voting Rights," Journal of Law and Economics, University of Chicago Press, vol. 27(2), pages 339-365, October.
    3. Hatem Smaoui & Dominique Lepelley, 2013. "Le système de vote par note à trois niveaux : étude d'un nouveau mode de scrutin," Revue d'économie politique, Dalloz, vol. 123(6), pages 827-850.
    4. Duane Cooper & Arthur Zillante, 2012. "A comparison of cumulative voting and generalized plurality voting," Public Choice, Springer, vol. 150(1), pages 363-383, January.
    5. David Quarfoot & Douglas Kohorn & Kevin Slavin & Rory Sutherland & David Goldstein & Ellen Konar, 2017. "Quadratic voting in the wild: real people, real votes," Public Choice, Springer, vol. 172(1), pages 283-303, July.
    6. Thomas L. Saaty & Luis G. Vargas, 2013. "The Analytic Network Process," International Series in Operations Research & Management Science, in: Decision Making with the Analytic Network Process, edition 2, chapter 0, pages 1-40, Springer.
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    8. Lawrence Phillips & Carlos Bana e Costa, 2007. "Transparent prioritisation, budgeting and resource allocation with multi-criteria decision analysis and decision conferencing," Annals of Operations Research, Springer, vol. 154(1), pages 51-68, October.
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    Cited by:

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