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Designing price-contingent vegetable rotation schedules using agent-based simulation
- Source :
- Journal of Integrative Agriculture, Vol 17, Iss 2, Pp 461-472 (2018)
- Publication Year :
- 2018
- Publisher :
- Elsevier, 2018.
-
Abstract
- Chinese vegetable production cooperatives supply their members, mostly smallholder farmers, with a rotation schedule for the year. Since vegetable prices are not stable throughout the year, designing a rotation schedule that maximizes expected profits, distributes farmers' profits more equitably, maintains the diversity of produce in the market, and reduces the risk of pests and diseases, requires adaptive, price-contingent rotation schedules (here, called “self-adaptive adjustment”). This study uses an agent-based simulation (ABS) to design self-adaptive rotation schedules that deliver these aims. The self-adaptive adjustment strategy was more profitable for farmers when faced with price volatility, and more equitable as well. This work provides a decision-support tool for managers of Chinese vegetable production cooperatives to provide farmers with more profitable and equitable rotation schedules.
Details
- Language :
- English
- ISSN :
- 20953119
- Volume :
- 17
- Issue :
- 2
- Database :
- Directory of Open Access Journals
- Journal :
- Journal of Integrative Agriculture
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.2c0db37a5a264e15bc243a30cf58a10e
- Document Type :
- article
- Full Text :
- https://doi.org/10.1016/S2095-3119(17)61741-6