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

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Cited articles

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Anderson, W., You, L., Wood, S., Wood-Sichra, U., and Wu, W.: An analysis of methodological and spatial differences in global cropping systems models and maps, Global Ecol. Biogeogr., 24, 180–191, 2015. a
Andree, B. P. J., Chamorro, A., Kraay, A., Spencer, P., and Wang, D.: Predicting food crises, World Bank Policy Research Working Paper 9412, World Bank, Washington, DC, https://doi.org/10986/34510, 2020. a
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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.
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