We explore whether satellite imagery can be used to derive a measure of conflict-induced damage to estimate conflict-induced damage to agricultural production and compare results to those obtained using media-based conflict indicators widely used in the literature. To do so, we combine area for summer and winter crops from annual crop maps for 2019-24 with measures of conflict-related damage to agricultural land based on optical and thermal satellite sensors to estimate a difference in differences (DID) model in close to 10,000 Ukrainian village councils (VCs). Results point to large and persistent negative effects that spill over to conflict unaffected VCs. Predicted impact is three times larger, with a distinctly different distribution across key domains (e.g. territory controlled by Ukraine and Russia) using the preferred image-based as compared to a media-based indicator. We conclude that satellite imagery allows to define conflict incidence in ways that may be relevant to agricultural production and discuss implications for future research.
| Repository name | URI |
|---|---|
| Reproducible Research Repository (World Bank) | https://reproducibility.worldbank.org |
Paper exhibits were reproduced on a computer with the following specifications:
• OS: Windows 11 Enterprise
• Processor: INTEL(R) XEON(R) PLATINUM 8562Y+ 2.80 GHz (2 processors)
• Memory available: 128 GB
• Software version: Stata 18.0 MP
6 hour runtime
Since all the data is not included, the package includes the results produced by replicators in the Results folder. These files can be used to review the results presented in the paper.
Some data is not yet publicly available but is expected to be made available through the World Bank Development Data Hub in the future.
| Author | Affiliation | |
|---|---|---|
| Daniel Ayalew Ali | World Bank | dali1@worldbank.org |
| Klaus Deininger | World Bank | kdeininger@worldbank.org |
| Nataliia Kussul | University of Maryland | kussul@umd.edu |
| Guido Lemoine | Joint Research Center of the European Commission | Guido.LEMOINE@ec.europa.eu |
| Andrii Shelestov | Igor Sigorsky Kyiv Polytechnic Institute | andrii.shelestov@gmail.com |
| Leonid Shumilo | University of Maryland | lshumilo@umd.edu |
2025-09-02
| Location | Code |
|---|---|
| Ukraine | UKR |
| ID | Topic | Parent topic ID | Vocabulary |
|---|---|---|---|
| H56 | National Security and War | H5 | JEL Classifications |
| O13 | Economic Development: Agriculture; Natural Resources; Energy; Environment; Other Primary Products | O1 | JEL Classifications |
| Q10 | Agriculture: General | Q1 | JEL Classifications |
| R14 | Land Use Patterns | R1 | JEL Classifications |
The materials in the reproducibility packages are distributed as they were prepared by the staff of the International Bank for Reconstruction and Development/The World Bank. The findings, interpretations, and conclusions expressed in this event do not necessarily reflect the views of the World Bank, the Executive Directors of the World Bank, or the governments they represent. The World Bank does not guarantee the accuracy of the materials included in the reproducibility package.
| Name | URI |
|---|---|
| Modified BSD3 | https://opensource.org/license/bsd-3-clause/ |
| Name | Affiliation | |
|---|---|---|
| Daniel Ayalew Ali | World Bank | dali1@worldbank.org |
| Reproducibility WBG | World Bank | reproducibility@worldbank.org |
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Reproducibility WBG | DECDI | World Bank - Development Impact Department | Verification and preparation of metadata |
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