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The impact of climate conditions on economic production. Evidence from a global panel of regions

We present a novel data set of subnational economic output, Gross Regional Product (GRP), for more than 1500 regions in 77 countries that allows us to empirically estimate historic climate impacts at different time scales. Employing annual panel models, long-difference regressions and cross-sectional regressions, we identify effects on productivity levels and productivity growth. We do not find evidence for permanent growth rate impacts but we find robust evidence that temperature affects productivity levels considerably. An increase in global mean surface temperature by about 3.5°C until the end of the century would reduce global output by 7–14% in 2100, with even higher damages in tropical and poor regions. Updating the DICE damage function with our estimates suggests that the social cost of carbon from temperature-induced productivity losses is on the order of 73–142$/tCO2 in 2020, rising to 92–181$/tCO2 in 2030. These numbers exclude non-market damages and damages from extreme weather events or sea-level rise. © 2020 The Authors
- Leibniz Association Germany
- University of Potsdam Germany
- Potsdam-Institut für Klimafolgenforschung (Potsdam Institute for Climate Impact Research) Germany
- Potsdam-Institut für Klimafolgenforschung (Potsdam Institute for Climate Impact Research) Germany
- Potsdam Institute for Climate Impact Research Germany
Climate impacts, growth regression, 330, Panel regression, 339, Damage function, Climate change, climate impacts, O11, Q54, Global warming, Growth regression, Climate damages, 333.7, Social costs of carbon, Q56, Cross-sectional regression, climate change, climate damages, E23, ddc: ddc:330
Climate impacts, growth regression, 330, Panel regression, 339, Damage function, Climate change, climate impacts, O11, Q54, Global warming, Growth regression, Climate damages, 333.7, Social costs of carbon, Q56, Cross-sectional regression, climate change, climate damages, E23, ddc: ddc:330
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