Oppenheimer’s approach to predict climate migration has sparked controversies. The model is built upon assumptions and cannot include all factors that influence human decision-making. However, there are no better publications for predicting climate migration, and econometrics has been commonly used for climate-related modeling.
In one study, researchers have found that crop losses due to climate change “led to unemployment that stoked Arab Spring uprisings in Egypt and Libya.” In North Africa’s Sahel, droughts and extraordinary population growth have killed 100,000+ people due to water shortages and poverty. The United Nations predicted that “some 65 percent of farmable lands have already degraded.” The World Bank also projects that 17 to 36 million people will be uprooted from South Asia to the Persian Gulf and India’s Ganges Valley. Despite drought and crop losses, climate scientists have estimated that some 150 million people globally will flee due to rising sea levels.
A two-year study published in 2018 included a gravity model, which assesses the relative attractiveness of destinations, to predict where migrants will go. In 2019, more environmental data were added[1] to the model to make it more sensitive to climate changes. Existing data sets on political stability, agricultural productivity, food stress, water availability, social connections, and weather [were added] to approximate the kaleidoscopic complexity of human decision-making.” However, even with more layers of data added, individual decisions and consequences are difficult to predict since those data do not exist. The model instead uses decision-making patterns of entire populations and apply them on various scenarios (different levels of growth, trade, border control, etc). More than 10 billion data points were included. Tests were done with past cause and effect events to see if results match. The model is so large that it took a supercomputer four days to calculate its estimated migration from Central America and Mexico. However, the results were built upon assumptions about complex relationships. Although some relationships, such as how drought and political stability relate to each other, can change over time, the model assumes that the relationship is linear. With these data limitations, the model is far from definitive.
Post by Isabel Wang, Colgate Class of 2021.
Source: Lustgarten, Abrahm. “The
Great Climate Migration,” The
New York Times, 23 July, 2020.
[1] This
study was done by the Times Magazine, and ProPublica, with support from the
Pulitzer Center, hired an author of the World Bank report, Bryan Jones.