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

Aníbal Galindro (), João Matias (), Adelaide Cerveira (), Cátia Santos () and Ana Marta-Costa
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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

Chapter 8 in The Changing Role of SMEs in Global Business, 2020, pp 155-178 from Palgrave Macmillan

Abstract: 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.

Keywords: Agent-based model; Wine sector; Performance; Sustainability (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:pal:pscchp:978-3-030-45835-5_8

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DOI: 10.1007/978-3-030-45835-5_8

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