An Agent-Based Model of Climate-Induced Agricultural Labor Migration
AbstractUsing an agent-based model, we simulate the climate-induced agricultural labor migration for alternative future climate scenarios. For each agent, the probability of migration is calculated as a function of a set of relevant factors using a logistic regression model. Historical U.S. agricultural employment data was used to calibrate the model. The simulation result showed that larger crop yield reduction induced by climate change tends to generate larger migration flows. Furthermore, we observed that the network effects tend to forecast a larger migration difference between alternative climate scenarios.
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Bibliographic InfoPaper provided by Agricultural and Applied Economics Association in its series 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. with number 150972.
Date of creation: 2013
Date of revision:
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Agent-based model; Climate change; Agricultural labor migration; Agricultural and Food Policy; Environmental Economics and Policy; Labor and Human Capital;
This paper has been announced in the following NEP Reports:
- NEP-ALL-2013-07-05 (All new papers)
- NEP-CMP-2013-07-05 (Computational Economics)
- NEP-ENV-2013-07-05 (Environmental Economics)
- NEP-MIG-2013-07-05 (Economics of Human Migration)
- NEP-RES-2013-07-05 (Resource Economics)
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