Literature DB >> 26503051

Global non-linear effect of temperature on economic production.

Marshall Burke1,2, Solomon M Hsiang3,4, Edward Miguel4,5.   

Abstract

Growing evidence demonstrates that climatic conditions can have a profound impact on the functioning of modern human societies, but effects on economic activity appear inconsistent. Fundamental productive elements of modern economies, such as workers and crops, exhibit highly non-linear responses to local temperature even in wealthy countries. In contrast, aggregate macroeconomic productivity of entire wealthy countries is reported not to respond to temperature, while poor countries respond only linearly. Resolving this conflict between micro and macro observations is critical to understanding the role of wealth in coupled human-natural systems and to anticipating the global impact of climate change. Here we unify these seemingly contradictory results by accounting for non-linearity at the macro scale. We show that overall economic productivity is non-linear in temperature for all countries, with productivity peaking at an annual average temperature of 13 °C and declining strongly at higher temperatures. The relationship is globally generalizable, unchanged since 1960, and apparent for agricultural and non-agricultural activity in both rich and poor countries. These results provide the first evidence that economic activity in all regions is coupled to the global climate and establish a new empirical foundation for modelling economic loss in response to climate change, with important implications. If future adaptation mimics past adaptation, unmitigated warming is expected to reshape the global economy by reducing average global incomes roughly 23% by 2100 and widening global income inequality, relative to scenarios without climate change. In contrast to prior estimates, expected global losses are approximately linear in global mean temperature, with median losses many times larger than leading models indicate.

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Year:  2015        PMID: 26503051     DOI: 10.1038/nature15725

Source DB:  PubMed          Journal:  Nature        ISSN: 0028-0836            Impact factor:   49.962


  98 in total

1.  Temperature impact on GDP growth is overestimated.

Authors:  Richard A Rosen
Journal:  Proc Natl Acad Sci U S A       Date:  2019-08-02       Impact factor: 11.205

2.  Reply to Rosen: Temperature-growth relationship is robust.

Authors:  Noah S Diffenbaugh; Marshall Burke
Journal:  Proc Natl Acad Sci U S A       Date:  2019-08-02       Impact factor: 11.205

3.  Quantification of an efficiency-sovereignty trade-off in climate policy.

Authors:  Nico Bauer; Christoph Bertram; Anselm Schultes; David Klein; Gunnar Luderer; Elmar Kriegler; Alexander Popp; Ottmar Edenhofer
Journal:  Nature       Date:  2020-12-09       Impact factor: 49.962

4.  National COVID debts: climate change imperils countries' ability to repay.

Authors:  Arjuna Dibley; Thom Wetzer; Cameron Hepburn
Journal:  Nature       Date:  2021-04       Impact factor: 49.962

5.  Climate and marriage in the Netherlands, 1871-1937.

Authors:  Julia A Jennings; Clark L Gray
Journal:  Popul Environ       Date:  2017-01-20

6.  Climate change and economic growth: a heterogeneous panel data approach.

Authors:  Tiago Neves Sequeira; Marcelo Serra Santos; Manuela Magalhães
Journal:  Environ Sci Pollut Res Int       Date:  2018-05-31       Impact factor: 4.223

7.  The cost of a warming climate.

Authors:  Wolfram Schlenker; Maximilian Auffhammer
Journal:  Nature       Date:  2018-05       Impact factor: 49.962

8.  Large potential reduction in economic damages under UN mitigation targets.

Authors:  Marshall Burke; W Matthew Davis; Noah S Diffenbaugh
Journal:  Nature       Date:  2018-05-23       Impact factor: 49.962

9.  Empirical evidence of mental health risks posed by climate change.

Authors:  Nick Obradovich; Robyn Migliorini; Martin P Paulus; Iyad Rahwan
Journal:  Proc Natl Acad Sci U S A       Date:  2018-10-08       Impact factor: 11.205

10.  Reduced emissions through climate damage to the economy.

Authors:  Ken Caldeira; Patrick T Brown
Journal:  Proc Natl Acad Sci U S A       Date:  2018-12-27       Impact factor: 11.205

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