Agent-Based Modelling of Viticulture Development in Emerging Markets: The Case of the Malopolska Region
Authored by Marcin Czupryna, Pawel Oleksy, Piotr Przybek, Bugumil Kaminski
Date Published: 2018
DOI: 10.18564/jasss.3726
Sponsors:
National Science Centre of Poland
Platforms:
MASON
Model Documentation:
Other Narrative
Mathematical description
Model Code URLs:
https://www.comses.net/codebases/5891/releases/1.1.0/
Abstract
In this paper, we apply an agent-based approach to explain both the
final state and the dynamics of the development process of the wine
sector in the Malopolska region in Poland. This sector has been affected
by various environmental, institutional, behavioural and social factors
and has undergone evolutionary changes in recent years. The econometric
analysis of empirical data of vineyards in this region provides insights
into the degree of influence of various factors under consideration on
the aggregate number of vineyards in subregions. However, this does no
explain the dynamics of the local formation of new vineyards or the
underlying latent attitudes of vineyard owners. To overcome this
limitation, we developed an agent-based model with heterogeneous agents
(regular farms as well as large and small vineyards), which allowed us
to identify a two-stage development scenario: i) community building and
ii) vineyard creation. Our findings are of two types. Firstly, we showed
a case where the agent-based model has good predictive power, in
situations where the econometric model fails. Secondly, estimation of
the agent-based model parameters and sensitivity analysis revealed
crucial factors that have driven development of viticulture in the
Malopolska region. In particular, we find that the crucial element
underlying the good predictive power of the model is that it enables us
to capture the fact that wine enthusiasts initially concentrate in
sub-regions with more benign environmental conditions. Next, when one of
them eventually established a vineyard, agents in the community had a
lowered barrier to entry via the possibility of practical knowledge
exchange, joint marketing efforts or vineyard maintenance resource
sharing. This is in line with current evidence, which shows strong
clustering effects, namely, a relatively large number of vineyards
originate at relatively similar times and locations.
Tags
Agent-based modelling
Simulation
Evolution
differentiation
Innovation
networks
diffusion
Agricultural policy
Product
Cluster
Climate-change
Wine
Viticulture
Land-use models
Market development
Behavioural factors
Wine industry
Agricultural policies
Wine production