Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/321804 
Year of Publication: 
2024
Citation: 
[Journal:] Bio-based and Applied Economics (BAE) [ISSN:] 2280-6172 [Volume:] 13 [Issue:] 4 [Year:] 2024 [Pages:] 353-386
Publisher: 
Firenze University Press, Florence
Abstract: 
Although the policy impacts on farms accumulate year by year, most farm decision models focus on short-term decisions, evaluating policies based on snapshots. Structural changes are gradually built; therefore, farm decision models should consider the sequences within the period under study. Multiyear data from the arable sector in Thessaly, Greece, have fed a newly developed farm-level recursive linear programming model mainly to simulate farm structural change dynamics. The proposed model incorporates new evidence on the strategic decision of arable crop farms regarding their remaining in the production system and farm expansion. Results reveal an evident gradual farmland concentration in relatively large farms, accompanied by a gradual expansion of the most profitable cropping activities, verifying the real-world survival strategy of farms.
Subjects: 
farm structural change
land use change
recursive programming model
arable production system
Greece
JEL: 
C61
Q12
Q18
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Article

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