IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i7p3997-d529685.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/7/3997/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/13/7/3997/
    Download Restriction: no
    ---><---

    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. 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.
    4. Thomas L. Saaty & Luis G. Vargas, 2013. "Decision Making with the Analytic Network Process," International Series in Operations Research and Management Science, Springer, edition 2, number 978-1-4614-7279-7, March.
    5. 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.
    6. Duane Cooper & Arthur Zillante, 2012. "A comparison of cumulative voting and generalized plurality voting," Public Choice, Springer, vol. 150(1), pages 363-383, January.
    7. 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.
    8. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Silvia Novelli & Monica Vercelli & Chiara Ferracini, 2021. "An Easy Mixed-Method Analysis Tool to Support Rural Development Strategy Decision-Making for Beekeeping," Land, MDPI, vol. 10(7), pages 1-17, June.
    2. Stefano Bruzzese & Simone Blanc & Silvia Novelli & Filippo Brun, 2023. "A Multicriteria Analysis to Support Natural Resource Governance: The Case of Chestnut Forests," Resources, MDPI, vol. 12(3), pages 1-13, March.
    3. Ramona Pîrvu & Laurențiu Dragomir & Bogdan Budică & Răducu-Ștefan Bratu & Sorin Dinulescu & Lili Țenea, 2022. "The Impact of RDP Measures on the Rural Development: The Case of Romania," Sustainability, MDPI, vol. 14(8), pages 1-27, April.
    4. Enrico Pomatto & Paola Gullino & Silvia Novelli & Marco Devecchi & Federica Larcher, 2023. "Landscape Strategies for Terraced Landscapes in the European Alpine Region Using a Mixed-Method Analysis Tool," Land, MDPI, vol. 12(6), pages 1-21, June.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Rachele Corticelli & Margherita Pazzini & Cecilia Mazzoli & Claudio Lantieri & Annarita Ferrante & Valeria Vignali, 2022. "Urban Regeneration and Soft Mobility: The Case Study of the Rimini Canal Port in Italy," Sustainability, MDPI, vol. 14(21), pages 1-27, November.
    2. David Staš & Radim Lenort & Pavel Wicher & David Holman, 2015. "Green Transport Balanced Scorecard Model with Analytic Network Process Support," Sustainability, MDPI, vol. 7(11), pages 1-19, November.
    3. Clara Moreira Senne & Josiane Palma Lima & Fábio Favaretto, 2021. "An Index for the Sustainability of Integrated Urban Transport and Logistics: The Case Study of São Paulo," Sustainability, MDPI, vol. 13(21), pages 1-18, November.
    4. Mohammed Ifkirne & Houssam El Bouhi & Siham Acharki & Quoc Bao Pham & Abdelouahed Farah & Nguyen Thi Thuy Linh, 2022. "Multi-Criteria GIS-Based Analysis for Mapping Suitable Sites for Onshore Wind Farms in Southeast France," Land, MDPI, vol. 11(10), pages 1-26, October.
    5. Enrique Mu & Howard Stern, 2018. "A Contingent/Assimilation Framework for Public Interorganizational Systems Decisions: Should the City of Pittsburgh and Allegheny County Consolidate Information Technology Services?," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 17(06), pages 1611-1658, November.
    6. Toly Chen, 2021. "A diversified AHP-tree approach for multiple-criteria supplier selection," Computational Management Science, Springer, vol. 18(4), pages 431-453, October.
    7. Hocine, Amine & Kouaissah, Noureddine, 2020. "XOR analytic hierarchy process and its application in the renewable energy sector," Omega, Elsevier, vol. 97(C).
    8. Abrahamsen, Eirik Bjorheim & Milazzo, Maria Francesca & Selvik, Jon T. & Asche, Frank & Abrahamsen, HÃ¥kon Bjorheim, 2020. "Prioritising investments in safety measures in the chemical industry by using the Analytic Hierarchy Process," Reliability Engineering and System Safety, Elsevier, vol. 198(C).
    9. Haneen Abuzaid & Mahmoud Awad & Abdulrahim Shamayleh, 2024. "Photovoltaic Modules’ Cleaning Method Selection for the MENA Region," Sustainability, MDPI, vol. 16(21), pages 1-23, October.
    10. Paweł Ziemba, 2019. "Inter-Criteria Dependencies-Based Decision Support in the Sustainable wind Energy Management," Energies, MDPI, vol. 12(4), pages 1-29, February.
    11. Ferry Syarifuddin, 2022. "Towards Green Economy Transformation Through Islamic Green Financing: Managing Risk And Fostering Sustainable Growth For The Real And Financial Sectors," Working Papers WP/05/2022, Bank Indonesia.
    12. Ya Wu & Chenyang Shuai & Liu Wu & Liyin Shen & Jianzhong Yan & Liudan Jiao & Shiju Liao, 2020. "A new experience mining approach for improving low carbon city development," Sustainable Development, John Wiley & Sons, Ltd., vol. 28(4), pages 922-934, July.
    13. Mokarram, Marzieh & Mirsoleimani, Abbas, 2018. "Using Fuzzy-AHP and order weight average (OWA) methods for land suitability determination for citrus cultivation in ArcGIS (Case study: Fars province, Iran)," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 508(C), pages 506-518.
    14. Guangying Jin, 2022. "Designer Selection for Complex Engineering System Design Projects Considering the Disciplines Demanded," Sustainability, MDPI, vol. 14(23), pages 1-25, December.
    15. Qingfu Li & Chuangshi Fan, 2022. "Evaluation of Hydraulic-Tunnel-Lining Durability Based on ANP and Cloud-Model-Improved Matter–Element Theory," Sustainability, MDPI, vol. 14(19), pages 1-22, September.
    16. Alok K. Pandey & R. Krishankumar & Dragan Pamucar & Fausto Cavallaro & Abbas Mardani & Samarjit Kar & K. S. Ravichandran, 2021. "A Bibliometric Review on Decision Approaches for Clean Energy Systems under Uncertainty," Energies, MDPI, vol. 14(20), pages 1-27, October.
    17. Joram Schito & Joshu Jullier & Martin Raubal, 2019. "A framework for integrating stakeholder preferences when deciding on power transmission line corridors," EURO Journal on Decision Processes, Springer;EURO - The Association of European Operational Research Societies, vol. 7(3), pages 159-195, November.
    18. Melani, Arthur Henrique Andrade & Murad, Carlos Alberto & Caminada Netto, Adherbal & Souza, Gilberto Francisco Martha de & Nabeta, Silvio Ikuyo, 2018. "Criticality-based maintenance of a coal-fired power plant," Energy, Elsevier, vol. 147(C), pages 767-781.
    19. Mansour Alyahya & Meqbel Aliedan & Gomaa Agag & Ziad H. Abdelmoety, 2023. "Understanding the Relationship between Big Data Analytics Capabilities and Sustainable Performance: The Role of Strategic Agility and Firm Creativity," Sustainability, MDPI, vol. 15(9), pages 1-17, May.
    20. Yasmin, Mariam & Tatoglu, Ekrem & Kilic, Huseyin Selcuk & Zaim, Selim & Delen, Dursun, 2020. "Big data analytics capabilities and firm performance: An integrated MCDM approach," Journal of Business Research, Elsevier, vol. 114(C), pages 1-15.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:13:y:2021:i:7:p:3997-:d:529685. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.