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Global non-linear effect of temperature on economic production

Overview of attention for article published in Nature, October 2015
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
119 news outlets
blogs
29 blogs
policy
1 policy source
twitter
1098 tweeters
facebook
3 Facebook pages
googleplus
3 Google+ users
reddit
1 Redditor
video
1 video uploader

Readers on

mendeley
403 Mendeley
citeulike
6 CiteULike
Title
Global non-linear effect of temperature on economic production
Published in
Nature, October 2015
DOI 10.1038/nature15725
Pubmed ID
Authors

Marshall Burke, Solomon M. Hsiang, Edward Miguel, Burke, Marshall, Hsiang, Solomon M, Miguel, Edward

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.

Twitter Demographics

The data shown below were collected from the profiles of 1,098 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 403 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 13 3%
Germany 5 1%
France 4 <1%
United Kingdom 4 <1%
Switzerland 3 <1%
Chile 2 <1%
Brazil 2 <1%
Israel 1 <1%
Italy 1 <1%
Other 11 3%
Unknown 357 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 137 34%
Researcher 78 19%
Student > Master 53 13%
Student > Bachelor 33 8%
Student > Doctoral Student 22 5%
Other 80 20%
Readers by discipline Count As %
Economics, Econometrics and Finance 91 23%
Environmental Science 88 22%
Earth and Planetary Sciences 56 14%
Agricultural and Biological Sciences 43 11%
Unspecified 29 7%
Other 96 24%

Attention Score in Context

This research output has an Altmetric Attention Score of 1973. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 01 October 2017.
All research outputs
#366
of 8,655,662 outputs
Outputs from Nature
#92
of 48,835 outputs
Outputs of similar age
#12
of 246,168 outputs
Outputs of similar age from Nature
#5
of 1,042 outputs
Altmetric has tracked 8,655,662 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 48,835 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 76.0. This one has done particularly well, scoring higher than 99% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 246,168 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 1,042 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.