Articles | Volume 15, issue 3
https://doi.org/10.5194/essd-15-1357-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-15-1357-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description article
| 
24 Mar 2023
Data description article |
| 24 Mar 2023
| 24 Mar 2023
Estimating local agricultural gross domestic product (AgGDP) across the world
Yating Ru
Department of City and Regional Planning, Cornell University, Ithaca, NY, USA
Brian Blankespoor
CORRESPONDING AUTHOR
Development Data Group, World Bank, Washington, DC, USA
Ulrike Wood-Sichra
International Food Policy Research Institute (IFPRI), Washington DC, USA
Timothy S. Thomas
International Food Policy Research Institute (IFPRI), Washington DC, USA
Liangzhi You
International Food Policy Research Institute (IFPRI), Washington DC, USA
Erwin Kalvelagen
International Food Policy Research Institute (IFPRI), Washington DC, USA
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Cited
15 citations as recorded by crossref.
- Research on Regional Adaptability and Stability of Maize Hybrids in Mid-to-High Altitude Areas of Yunnan Province Based on GGE Biplot Analysis Q. Zi et al. https://doi.org/10.3390/agronomy16010054
- Spatial heterogeneity in machine learning-based poverty mapping: Where do models underperform? Y. Ru et al. https://doi.org/10.1016/j.geosus.2026.100413
- Sustainable forest transitions: A new analytical framework to understand social and ecological outcomes of reforestation J. Oldekop et al. https://doi.org/10.1016/j.oneear.2025.101248
- Lightweight Cryptography Algorithm for Secure Data Transmission in IoT Applications K. Kumar & K. Sasikala https://doi.org/10.2478/ijssis-2026-0064
- EMPIRICAL EVALUATION OF SUSTAINABLE AGRICULTURAL MANAGEMENT IN SOUTHEAST EUROPEAN COUNTRIES USING PANEL DATA ANALYSIS L. Madžar et al. https://doi.org/10.59267/ekoPolj2402653M
- National 10-m soybean maps for South Africa from 2018 to 2025 X. Huang et al. https://doi.org/10.1038/s41597-026-07295-z
- Enhancing Ammonia Concentration Prediction with a Transfer-Learning-Based Model: Application in a Pig Farm S. Lee et al. https://doi.org/10.3390/ani16040609
- Global spatially-distributed sectoral GDP map for disaster risk analysis T. Shoji et al. https://doi.org/10.5194/essd-17-6669-2025
- A framework for assessing the circular economy potential in the water and agriculture sectors in Türkiye through the water-energy-food-ecosystem nexus E. Demir & E. Alp https://doi.org/10.1016/j.spc.2025.01.009
- Post-2000 greening of Kalahari Desert and southern African grasslands reduces food and economic insecurity in Africa D. Nath et al. https://doi.org/10.1088/1748-9326/adf23a
- The contribution of agricultural crop production towards the economic growth of Indonesia’s agricultural sector S. Fery Purba et al. https://doi.org/10.1051/e3sconf/202344402034
- Mapping the harvest area of a comprehensive set of crop types in China from 1990 to 2020 at a 1-km resolution K. Dai et al. https://doi.org/10.1038/s41597-025-05723-0
- Land degradation is associated with larger crop yield gaps across global croplands H. Hadi et al. https://doi.org/10.1038/s43016-026-01382-5
- Nighttime light imagery or mobile phone footprints: Which better reflects urban socio-economics at the grid level? A case study in the Pearl River Delta, China J. Cao et al. https://doi.org/10.1016/j.compenvurbsys.2024.102220
- Improved indicators for the integrated assessment of coastal sustainable development based on Earth Observation Data L. Zhang et al. https://doi.org/10.1080/17538947.2024.2310082
15 citations as recorded by crossref.
- Research on Regional Adaptability and Stability of Maize Hybrids in Mid-to-High Altitude Areas of Yunnan Province Based on GGE Biplot Analysis Q. Zi et al. https://doi.org/10.3390/agronomy16010054
- Spatial heterogeneity in machine learning-based poverty mapping: Where do models underperform? Y. Ru et al. https://doi.org/10.1016/j.geosus.2026.100413
- Sustainable forest transitions: A new analytical framework to understand social and ecological outcomes of reforestation J. Oldekop et al. https://doi.org/10.1016/j.oneear.2025.101248
- Lightweight Cryptography Algorithm for Secure Data Transmission in IoT Applications K. Kumar & K. Sasikala https://doi.org/10.2478/ijssis-2026-0064
- EMPIRICAL EVALUATION OF SUSTAINABLE AGRICULTURAL MANAGEMENT IN SOUTHEAST EUROPEAN COUNTRIES USING PANEL DATA ANALYSIS L. Madžar et al. https://doi.org/10.59267/ekoPolj2402653M
- National 10-m soybean maps for South Africa from 2018 to 2025 X. Huang et al. https://doi.org/10.1038/s41597-026-07295-z
- Enhancing Ammonia Concentration Prediction with a Transfer-Learning-Based Model: Application in a Pig Farm S. Lee et al. https://doi.org/10.3390/ani16040609
- Global spatially-distributed sectoral GDP map for disaster risk analysis T. Shoji et al. https://doi.org/10.5194/essd-17-6669-2025
- A framework for assessing the circular economy potential in the water and agriculture sectors in Türkiye through the water-energy-food-ecosystem nexus E. Demir & E. Alp https://doi.org/10.1016/j.spc.2025.01.009
- Post-2000 greening of Kalahari Desert and southern African grasslands reduces food and economic insecurity in Africa D. Nath et al. https://doi.org/10.1088/1748-9326/adf23a
- The contribution of agricultural crop production towards the economic growth of Indonesia’s agricultural sector S. Fery Purba et al. https://doi.org/10.1051/e3sconf/202344402034
- Mapping the harvest area of a comprehensive set of crop types in China from 1990 to 2020 at a 1-km resolution K. Dai et al. https://doi.org/10.1038/s41597-025-05723-0
- Land degradation is associated with larger crop yield gaps across global croplands H. Hadi et al. https://doi.org/10.1038/s43016-026-01382-5
- Nighttime light imagery or mobile phone footprints: Which better reflects urban socio-economics at the grid level? A case study in the Pearl River Delta, China J. Cao et al. https://doi.org/10.1016/j.compenvurbsys.2024.102220
- Improved indicators for the integrated assessment of coastal sustainable development based on Earth Observation Data L. Zhang et al. https://doi.org/10.1080/17538947.2024.2310082
Saved (final revised paper)
Latest update: 12 Sep 2026
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.
Economic statistics are frequently produced at an administrative level that lacks detail to...
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