Study finds climate change damages U.S. economy, increases inequality
Severe costs ahead especially in South and lower Midwest, pioneering analysis projects.
Unmitigated climate change will make the United States poorer and more unequal, with the poorest third of U.S. counties projected to sustain economic damages costing as much as 20 percent of their income if warming proceeds unabated, according to a new study published in the journal Science.
States in the South and lower Midwest, which tend to be poor and hot already, will lose the most, with economic opportunity traveling northward and westward. Colder and richer counties along the northern border and in the Rockies could benefit the most as health, agriculture and energy costs are projected to improve.
Overall, the study—led by Solomon Hsiang of the University of California, Berkeley, Robert Kopp of Rutgers University–New Brunswick, Amir Jina of the University of Chicago, and James Rising, also of UC Berkeley—projects losses, economic restructuring and widening inequality.
“The ‘hidden costs’ of carbon dioxide emissions are no longer hidden, since now we can see them clearly in the data,” said Jina, a postdoctoral scholar in the Department of Economics at the University of Chicago and a senior fellow at the Energy Policy Institute at UChicago, who will join the Harris School of Public Policy as an assistant professor July 1. “The emissions coming out of our cars and power plants are reshaping the American economy. Here in the Midwest, we may see agricultural losses similar to the Dustbowl of the 1930s.”
Hsiang, Kopp, Jina, Rising and several of their coauthors are members of the Climate Impact Lab, a new collaboration of economists, climate scientists and computational scientists from some of the nation’s leading research institutions. The lab is working to quantify the impacts of climate change and connect those impacts to local climate and economic circumstances so communities can plan and adapt.
“Unmitigated climate change will be very expensive for huge regions of the United States,” said Hsiang, Chancellor’s Associate Professor of Public Policy at UC Berkeley. “If we continue on the current path, our analysis indicates it may result in the largest transfer of wealth from the poor to the rich in the country’s history.”
The pioneering study is the first to use state-of-the-art statistical methods and 116 climate projections developed by scientists around the world to price the impacts of climate change the way the insurance industry or an investor would, comparing risks and rewards. The team of economists and climate scientists computed the real-world costs and benefits: how agriculture, crime, health, energy demand, labor and coastal communities will be affected by higher temperatures, changing rainfall, rising seas and intensifying hurricanes.
“In the absence of major efforts to reduce emissions and strengthen resilience, the Gulf Coast will take a massive hit,” said Kopp, a professor of Earth and Planetary Sciences at Rutgers University–New Brunswick. “Its exposure to sea-level rise—made worse by potentially stronger hurricanes—poses a major risk to its communities. Increasingly extreme heat will drive up violent crime, slow down workers, amp up air conditioning costs, and threaten people’s lives.”
If emissions growth is not slowed, then the resulting 6–10°F (3–5°C) of warming above 19th-century levels projected for the last two decades of this century will have costs on par with the Great Recession—except they will not go away afterwards and damages for poor regions will be many times larger.
The study is the first of its kind to price warming using data and evidence accumulated by the research community over decades. From this data, the team estimates that for each one degree Fahrenheit (0.55°C) increase in global temperatures, the U.S. economy loses about 0.7 percent of Gross Domestic Product, with each degree of warming costing more than the last. This metric can help the country manage climate change as it does other systematic economic risks. For example, the way the Federal Reserve uses interest rates to manage the risk of recession.
“We could not have done this study without the ongoing revolution in big data and computing,” said Rising, describing the 29,000 simulations of the national economy run for the project. Rising is a Ciriacy-Wantrup Postdoctoral Fellow at UC Berkeley, and will be joining EPIC as a postdoctoral scholar this fall. “For the first time in history, we can use these tools to peer ahead into the future. We are making decisions today about the kinds of lives we and our children want to lead. Had the computing revolution come twenty years later, we wouldn’t be able to see the economic hole we’re digging for ourselves.”
Co-authors of the study also include Michael Delgado, Shashank Mohan, Kate Larsen and Trevor Houser of the economic analysis firm Rhodium Group; Michael Oppenheimer and D.J. Rasmussen of Princeton University; and Robert Muir-Wood and Paul Wilson of the risk modeling and data analytics company RMS.