An Agent-Based Model of Farmland Trading Partners Selection (1.0.0)
This base model uses an agent-based approach to represent heterogeneous farmers’ trading partners selection among multiple recipients (other farmers, village collectives, and firms). Each period, a potential transfer-out farmer decides whether to transfer based on a net-return versus transaction-cost trade-off; if transferring, the farmer selects the counterparty with the highest expected profit. Meanwhile, social learning—operationalized as logistic accumulation of neighborhood experience—continuously updates uncertainty, which in turn shapes transaction costs and subsequent decisions.
Release Notes
Release Notes (v1.0.0) — Base Model
Release date: 2025-08-20
Scope: public release of the foundation version, including core mechanisms and parameter calibration, but not scenario switches.
Associated Publications
An Agent-Based Model of Farmland Trading Partners Selection 1.0.0
Submitted by
Yuxin Chen
Published Aug 19, 2025
Last modified Aug 20, 2025
This base model uses an agent-based approach to represent heterogeneous farmers’ trading partners selection among multiple recipients (other farmers, village collectives, and firms). Each period, a potential transfer-out farmer decides whether to transfer based on a net-return versus transaction-cost trade-off; if transferring, the farmer selects the counterparty with the highest expected profit. Meanwhile, social learning—operationalized as logistic accumulation of neighborhood experience—continuously updates uncertainty, which in turn shapes transaction costs and subsequent decisions.
Release Notes
Release Notes (v1.0.0) — Base Model
Release date: 2025-08-20
Scope: public release of the foundation version, including core mechanisms and parameter calibration, but not scenario switches.
