Type

Report

Author

Cai, R.
Oppenheimer, M.

Title

An agent based model of climate Induced agricultural labor migration

Year

2013

Abstract

Using 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 show that larger crop yield reduction induced by climate change tends to generate larger migration flows. Furthermore, we observe that the network effects tend to forecast a larger migration difference between alternative climate scenarios.

Citation

Cai, R., & Oppenheimer, M. (2013). An agent based model of climate Induced agricultural labor migration. URL : http://ageconsearch.umn.edu/bitstream/150972/2/An%20Agent-Based%20Model%20of%20Climate-Induced%20Agricultural%20Labor%20Migration.pdf