Computational Model Library

Amazon smallholder resilience (1.0.0)

The purpose of this agent-based model is to simulate the behaviors of small farming households in the Amazon estuary region and evaluate their resilience to external shocks with the presence of several government cash transfer programs.

Release Notes

The model can be utilized to quantify the resilience of rural livelihoods in the face of external pressure such as price oscillation and climatic events. Specifically, we adopt the definition of “development resilience” to frame the model output , in order to (1) identify the alternative states in the resilience landscape, (2) determine the negative influence from each shock, and (3) explore interventions to move households out of poverty trap or be more resilient. This is a pioneering effort to demonstrate the resilience dynamics by the simulation of an agent-based model, which extends the theoretical exploration and provides valuable policy implications.

Associated Publications

Amazon smallholder resilience 1.0.0

The purpose of this agent-based model is to simulate the behaviors of small farming households in the Amazon estuary region and evaluate their resilience to external shocks with the presence of several government cash transfer programs.

Release Notes

The model can be utilized to quantify the resilience of rural livelihoods in the face of external pressure such as price oscillation and climatic events. Specifically, we adopt the definition of “development resilience” to frame the model output , in order to (1) identify the alternative states in the resilience landscape, (2) determine the negative influence from each shock, and (3) explore interventions to move households out of poverty trap or be more resilient. This is a pioneering effort to demonstrate the resilience dynamics by the simulation of an agent-based model, which extends the theoretical exploration and provides valuable policy implications.

Version Submitter First published Last modified Status
1.0.0 Yue Dou Mon Sep 9 19:35:39 2019 Mon Sep 9 19:35:39 2019 Published

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