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Prediction of Viticulture Farms Behaviour: An Agent-Based Model Approach

In: The Changing Role of SMEs in Global Business

Author

Listed:
  • Aníbal Galindro

    (University of Aveiro)

  • João Matias

    (University of Trás-os-Montes and Alto Douro)

  • Adelaide Cerveira

    (University of Trás-os-Montes and Alto Douro)

  • Cátia Santos

    (CoLAB VINES&WINES at ADVID
    Centre for Transdisciplinary Development Studies (CETRAD))

  • Ana Marta-Costa

    (University of Trás-os-Montes and Alto Douro)

Abstract

The wine industry has a high business volume and adds value to the economy. This chapter intends to predict the wine firm performance of three of the most relevant Portuguese regions, by resorting to data available on the Portuguese Farm Accountancy Data Network (PTFADN, Resultados médios por exploração. Available on http://www.gpp.pt/index.php/rica/rede-de-informacao-de-contabilidades-agricolas-rica . Accessed 13 Mar 2018, 2001–2015). The existing social, economic and environmental parameters allowed us to perform function fitting with MATLAB, in order to attain information about the variable’s behaviour. Through the Agent-Based Model (ABM) simulations, it is possible to realize that, in general, the Alentejo region is substantially well prepared to deal with negative scenarios when compared with North and Central regions. Alternative scenarios can be performed in order to develop overall governmental policy recommendations, so as to ensure the sustainability of the three regions.

Suggested Citation

  • Aníbal Galindro & João Matias & Adelaide Cerveira & Cátia Santos & Ana Marta-Costa, 2020. "Prediction of Viticulture Farms Behaviour: An Agent-Based Model Approach," Palgrave Studies in Cross-disciplinary Business Research, In Association with EuroMed Academy of Business, in: Alkis Thrassou & Demetris Vrontis & Yaakov Weber & S. M. Riad Shams & Evangelos Tsoukatos (ed.), The Changing Role of SMEs in Global Business, edition 1, chapter 8, pages 155-178, Palgrave Macmillan.
    • Handle: RePEc:pal:pscchp:978-3-030-45835-5_8
    DOI: 10.1007/978-3-030-45835-5_8
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