INNOVATION IN CLIMATE ADAPTATION TECHNOLOGIES IN RESPONSE TO EXTREME WEATHER EVENTS: EVIDENCE FROM PATENT DATA

Simon Touboul et al.

Climate Change Economics2025https://doi.org/10.1142/s201000782550006xarticle
ABDC B
Weight
0.50

Abstract

We analyze innovation of climate adaptation technologies in response to weather extremes. Using patent data and original climate indicators at the country level, we estimate the effects of past extreme droughts, precipitation and heatwaves on patenting for adaptation technologies. Innovation response varies by hazard and technology and is strongest for droughts and heatwaves. The impact of extreme events on innovation also varies across countries depending on their long-term hazard exposure and risk. While higher-risk countries on average patent more adaptation technologies than low-risk countries, innovators are more responsive to extreme weather in countries with lower baseline risk. Our findings suggest that extreme weather is more salient to people living in regions less prone to that hazard and, therefore, the shock is more likely to provide new information and induce a larger behavioral response there.

Open via your library →

Cite this paper

https://doi.org/https://doi.org/10.1142/s201000782550006x

Or copy a formatted citation

@article{simon2025,
  title        = {{INNOVATION IN CLIMATE ADAPTATION TECHNOLOGIES IN RESPONSE TO EXTREME WEATHER EVENTS: EVIDENCE FROM PATENT DATA}},
  author       = {Simon Touboul et al.},
  journal      = {Climate Change Economics},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1142/s201000782550006x},
}

Paste directly into BibTeX, Zotero, or your reference manager.

Flag this paper

INNOVATION IN CLIMATE ADAPTATION TECHNOLOGIES IN RESPONSE TO EXTREME WEATHER EVENTS: EVIDENCE FROM PATENT DATA

Flags are reviewed by the Arbiter methodology team within 5 business days.


Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.