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Florida and Texas are the two states expected to suffer the greatest economic damage from climate change, according to a new study from Science magazine.The study used a model that aimed to calculate the future impact on each state’s gross domestic product (GDP) from events including hurricanes, storm surges, changes in agricultural yields, changing electricity demands, changes in mortality rates, changes to the labor supply, rising sea levels and rising crime rates. Researchers calculated that Florida will lose $100.9 billion from GDP due to climate change, while Texas will lose $100.7 billion.California comes in third place at an expected impact of $59.6 billion. California has recently suffered a severe drought, as well as devastating wildfires, that caused billions of dollars in damages to homes. New York, still recovering from the damage caused by Hurricane Sandy in 2012, comes in fourth place with estimated losses of $54.7 billion.https://www.marketwatch.com/story/florida-and-texas-are-expected-to-take-the-biggest-economic-hit-from-climate-change-2018-04-24
Estimating economic damage from climate change in the United States Solomon Hsiang1,2,*,†, Robert Kopp3,*,†, Amir Jina4,†, James Rising1,5,†, Michael Delgado6, Shashank Mohan6, D. J. Rasmussen7, Robert Muir-Wood8, Paul Wilson8, Michael Oppenheimer7,9, Kate Larsen6, Trevor Houser6 1Global Policy Laboratory, Goldman School of Public Policy, University of California, Berkeley, CA, USA. 2National Bureau of Economic Research, Cambridge, MA, USA. 3Department of Earth and Planetary Sciences and Institute of Earth, Ocean, and Atmospheric Sciences, Rutgers University, New Brunswick, NJ, USA. 4Department of Economics and Harris School of Public Policy, University of Chicago, Chicago, IL, USA. 5Energy Resource Group, University of California, Berkeley, CA, USA. 6Rhodium Group, New York, NY, USA. 7Woodrow Wilson School of Public and International Affairs, Princeton University, Princeton, NJ, USA. 8Risk Management Solutions, Newark, CA, USA. 9Department of Geosciences, Princeton University, Princeton, NJ, USA. ↵*Corresponding author. Email: shsiang@berkeley.edu (S.H.); robert.kopp@rutgers.edu (R.K.) ↵†These authors contributed equally to this work.
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