TY - JOUR
T1 - Farmland allocation in the conversion from conventional to organic farming
AU - Jahantab, Mahboubeh
AU - Abbasi, Babak
AU - Le Bodic, Pierre
N1 - Funding Information:
The authors would like to thank the anonymous reviewers for their helpful and constructive comments.
Publisher Copyright:
© 2023 The Author(s)
PY - 2023/12/16
Y1 - 2023/12/16
N2 - Organic farming enhances food quality and public health, and contributes to a more sustainable environment. Although certified organic farmland grew from 11 to 72.3 million hectares between 1999 and 2019, it constituted only 1.5 percent of the world's agricultural farmland in 2019. The main impediment to the conversion from conventional to organic farming is the financial difficulties that farmers experience during the transition period in terms of decrease in yield and increase in farming costs owing to transitional practices. Furthermore, uncertainty in crop price and yield may aggravate the adverse effects of transitional practices. This article presents a multi-period optimization model for the allocation of farmland among crops and agricultural practices which allows farmers to plan a transition to organic farming while incurring a bounded shortfall of income. We calibrate our model to represent a grower of corn and soybean in Iowa and, using a seemingly unrelated regression model, crops revenues are simulated and utilized in the numerical experiments. The results show that i) our optimized crop rotation pattern outperforms other policies in the agriculture industry, including monoculture and systematic crop rotation, and that ii) our gradual conversion plan mitigates the chance of profit shortfalls.
AB - Organic farming enhances food quality and public health, and contributes to a more sustainable environment. Although certified organic farmland grew from 11 to 72.3 million hectares between 1999 and 2019, it constituted only 1.5 percent of the world's agricultural farmland in 2019. The main impediment to the conversion from conventional to organic farming is the financial difficulties that farmers experience during the transition period in terms of decrease in yield and increase in farming costs owing to transitional practices. Furthermore, uncertainty in crop price and yield may aggravate the adverse effects of transitional practices. This article presents a multi-period optimization model for the allocation of farmland among crops and agricultural practices which allows farmers to plan a transition to organic farming while incurring a bounded shortfall of income. We calibrate our model to represent a grower of corn and soybean in Iowa and, using a seemingly unrelated regression model, crops revenues are simulated and utilized in the numerical experiments. The results show that i) our optimized crop rotation pattern outperforms other policies in the agriculture industry, including monoculture and systematic crop rotation, and that ii) our gradual conversion plan mitigates the chance of profit shortfalls.
KW - Conversion to organic farming
KW - Farmland allocation
KW - OR in agriculture
KW - Stochastic programming
KW - Sustainable operations
UR - http://www.scopus.com/inward/record.url?scp=85163379553&partnerID=8YFLogxK
U2 - 10.1016/j.ejor.2023.05.019
DO - 10.1016/j.ejor.2023.05.019
M3 - Article
AN - SCOPUS:85163379553
SN - 0377-2217
VL - 311
SP - 1103
EP - 1119
JO - European Journal of Operational Research
JF - European Journal of Operational Research
IS - 3
ER -