Articles | Volume 15, issue 3
https://doi.org/10.5194/essd-15-1357-2023
https://doi.org/10.5194/essd-15-1357-2023
Data description paper
 | 
24 Mar 2023
Data description paper |  | 24 Mar 2023

Estimating local agricultural gross domestic product (AgGDP) across the world

Yating Ru, Brian Blankespoor, Ulrike Wood-Sichra, Timothy S. Thomas, Liangzhi You, and Erwin Kalvelagen

Viewed

Total article views: 3,399 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,695 635 69 3,399 41 39
  • HTML: 2,695
  • PDF: 635
  • XML: 69
  • Total: 3,399
  • BibTeX: 41
  • EndNote: 39
Views and downloads (calculated since 07 Nov 2022)
Cumulative views and downloads (calculated since 07 Nov 2022)

Viewed (geographical distribution)

Total article views: 3,399 (including HTML, PDF, and XML) Thereof 3,288 with geography defined and 111 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 23 Apr 2024
Download
Short summary
Economic statistics are frequently produced at an administrative level that lacks detail to examine development patterns and the exposure to natural hazards. This paper disaggregates national and subnational administrative statistics of agricultural GDP into a global dataset at the local level using satellite-derived indicators. As an illustration, the paper estimates that the exposure of areas with extreme drought to agricultural GDP is USD 432 billion, where nearly 1.2 billion people live.
Altmetrics
Final-revised paper
Preprint