{"type":"script","doc_desc":{"producers":[{"name":"Reproducibility WBG","abbr":"DECDI","affiliation":"World Bank - Development Impact Department","role":"Verification and preparation of metadata"}],"prod_date":"2025-10-17","version":"1"},"project_desc":{"authoring_entity":[{"name":"Daniel Ayalew Ali","affiliation":"World Bank","email":"dali1@worldbank.org"},{"name":"Klaus Deininger","affiliation":"World Bank","email":"kdeininger@worldbank.org"},{"name":"Nataliia Kussul","affiliation":"University of Maryland","email":"kussul@umd.edu"},{"name":"Andrii Shelestov","affiliation":"Igor Sigorsky Kyiv Polytechnic Institute, Kyiv, Ukraine","email":"andrii.shelestov@gmail.com"},{"name":"Leonid Shumilo","affiliation":"University of Maryland","email":"lshumilo@umd.edu"},{"name":"Guido Lemoine","affiliation":"Joint Research Center of the European Commission, Ispra, Italy","email":"guido.lemoine@ec.europa.eu"}],"title_statement":{"title":"Reproducibility package for Using Free Remotely Sensed Data To Assess War-Induced Damage To Agricultural Cultivation: \nEvidence From Ukraine","idno":"PP_UKR_2025_458"},"data_statement":"All data sources are publicly available but not all are included in the reproducibility package.","software":[{"name":"Stata","version":"18 MP"}],"scripts":[{"title":"Reproducibility package for Using Free Remotely Sensed Data To Assess War-Induced Damage To Agricultural Cultivation: \nEvidence From Ukraine","date":"2025-10","notes":"Computational reproducibility verified by Development Impact (DECDI) Analytics team, World Bank. This reproducibility package corresponds to the journal article version of the paper. A separate reproducibility package for the working paper version is available and can be accessed here:  https:\/\/reproducibility.worldbank.org\/index.php\/catalog\/329","instructions":"See README in reproducibility package.","file_name":"PP_UKR_2025_458","zip_package":"PP_UKR_2025_458.zip","dependencies":"Stata dependencies are listed in the ado folder."}],"repository_uri":[{"name":"Reproducible Research Repository (World Bank)","uri":"https:\/\/reproducibility.worldbank.org"}],"production_date":"2025-10-17","abstract":"We use remotely sensed data to measure conflict-induced field damage in Ukraine 2022-24 for about 10,000 village councils (VCs). Compared to media-based indicators (ACLED), these suggest higher conflict incidence in less densely populated VCs, consistent with official data. Use of annual crop maps for 2019-24 to estimate a difference in differences (DID) model at VC level suggests conflict significantly and persistently reduced cropped area in directly affected and neighboring VCs. Predicted conflict effects are three times larger and differently distributed for image- as compared to media-based indicators, suggesting remotely sensed conflict measures may usefully complement media-based ones, especially in rural areas. ","geographic_units":[{"name":"Ukraine","code":"UKR"}],"keywords":[{"name":"Ukraine"},{"name":"Conflict\/War"},{"name":"Food Security"},{"name":"Agricultural Production"},{"name":"Agricultural Input And Output Markets"}],"topics":[{"id":"Q10","uri":"https:\/\/www.aeaweb.org\/econlit\/jelCodes.php?view=jel","vocabulary":"Journal of Economic Literature (JEL)","name":"General","parent_id":"Q1"},{"id":" O13","uri":"https:\/\/www.aeaweb.org\/econlit\/jelCodes.php?view=jel","vocabulary":"Journal of Economic Literature (JEL)","name":"Agriculture \u2022 Natural Resources \u2022 Energy \u2022 Environment \u2022 Other Primary Products","parent_id":"O1"},{"id":" H56","uri":"https:\/\/www.aeaweb.org\/econlit\/jelCodes.php?view=jel","vocabulary":"Journal of Economic Literature (JEL)","name":"National Security and War","parent_id":"H5"},{"id":" R14","uri":"https:\/\/www.aeaweb.org\/econlit\/jelCodes.php?view=jel","vocabulary":"Journal of Economic Literature (JEL)","name":"Land Use Patterns","parent_id":"R1"}],"output":[{"type":"Journal Article","description":"Journal Articles","title":"Using Free Remotely Sensed Data To Assess War-Induced Damage To Agricultural Cultivation: \nEvidence From Ukraine","uri":"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0304387825002123?via%3Dihub"}],"language":[{"name":"English","code":"EN"}],"technology_requirements":"Run time: ~ 6 hours","disclaimer":"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.","license":[{"name":"Modified BSD3","uri":"https:\/\/opensource.org\/license\/bsd-3-clause\/"}],"contacts":[{"name":"Daniel Ayalew Ali","affiliation":"World Bank","email":"dali1@worldbank.org"},{"name":"Reproducibility WBG","affiliation":"World Bank","email":"reproducibility@worldbank.org"}],"reproduction_instructions":"1. **Secure Access to Data:** Access the datasets not included in the package. See subsection Datasets and the README for more details.\n2. **Download and Place Data:** Once the data is downloaded, users should place it in the appropriate folder.\n3. **Run the Package:** After placing the data in the folder:\n      - Update the global in line 12 of the do-file \"main\" to your folder's location and run the do-file\n\nSince 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.","technology_environment":"Paper exhibits were reproduced on a computer with the following specifications:\n\u2022 OS: Windows 11 Enterprise\n\u2022 Processor: INTEL(R) XEON(R) PLATINUM 8562Y+ 2.80 GHz (2 processors)\n\u2022 Memory available: 128 GB","datasets":[{"name":"Daily Weather Data for Ukraine","note":"Source: Daily precipitation and minimum\/maximum temperature at the rayon level, extracted from the US National Center for Environmental Prediction Global Forecast System, which produces forecasts every six hours. Data were obtained using Google Earth Engine scripts linked in the README. \nFile location: DataManipulation\\RawData\\Weather\\precip_daily_Aug2018Dec2024.dta; Temp2m_daily_max_Aug2018Dec2024.dta; Temp2m_daily_min_Aug2018Dec2024.dta","access_type":"Data is publicly available and included in the reproducibility package.","citation":"US National Center for Environmental Prediction (NCEP). Global Forecast System (GFS) daily precipitation and temperature data, 2018\u20132024. Extracted via Google Earth Engine"},{"name":"Uppsala Conflict Data Program (UCDP) Georeferenced Event Dataset (GED) for Ukraine","note":"The UCDP data was downloaded on May 15, 2025, including all the daily events (state-based violence, non-state violence, and one-sided violence) and data columns. \nEach UCDP event was linked to its village council by converting coordinates into point shapefiles and overlaying them on village boundaries. The resulting .dbf files are included in the reproducibility package.\nFile Location: DataManipulation\\RawData\\UCDP\\gedevents-2025-05-15.csv; ucdp_village.dbf","access_type":"Data is publicly available and included in the reproducibility package.","uri":"https:\/\/ucdp.uu.se\/country\/369","citation":"Davies, S., Pettersson, T., Sollenberg, M., & \u00d6berg, M. (2025). Organized violence 1989\u20132024, and the challenges of identifying civilian victims. Journal of Peace Research, 62(4). Sundberg, Ralph and Erik Melander (2013) Introducing the UCDP Georeferenced Event Dataset. Journal of Peace Research 50(4)."},{"note":"Source: Armed Conflict Location & Event Data Project (ACLED). ACLED event data for Ukraine was retrieved on April 19, 2024 (covering January 1, 2018\u2013April 19, 2024) and again on April 12, 2025 (covering April 12, 2022\u2013April 11, 2025). As ACLED is a \u201cliving dataset\u201d with weekly updates, future downloads may differ from the version used by the authors and may produce slightly different results. Each ACLED event was linked to its corresponding village council by converting coordinates into point shapefiles and overlaying them on village boundaries. The resulting .dbf files are not included in the package, as ACLED data cannot be redistributed. Please contact the author directly if access to these .dbf files.\nFile location: DataManipulation\\RawData\\ACLED\\2022-04-12-2025-04-18-Europe-Ukraine.csv; Ukraine_Black_Sea_2020_2024_Apr19.csv; ConflictID_2024_Apr19.dbf; ConflictID_2025_Apr11_v2.dbf","access_type":" Data is publicly available but does not allow redistribution.","license_uri":"https:\/\/acleddata.com\/terms-and-conditions","name":"Armed Conflict Location & Event Data Project (ACLED)","uri":"https:\/\/acleddata.com\/conflict-data\/data-export-tool","citation":"Armed Conflict Location & Event Data (ACLED), accessed April 19, 2024 and April 12, 2025, covering events in Ukraine, 2018\u20132025. https:\/\/acleddata.com\/"},{"name":"Remotely sensed and administrative data to assess war-induced damage to agricultural cultivation in Ukraine","uri":"https:\/\/datacatalog.worldbank.org\/int\/search\/dataset\/0066913\/remotely_sensed_and_administrative_data_to_assess_warinduced_damage_to_agricultural_cultivation_in_","license":"Creative Commons Attribution 4.0","access_type":"Publicly available but not included in the package.","citation":"Daniel Ayalew Ali, Klaus W. Deininger (World Bank ) 2025. \"Remotely sensed and administrative data to assess war-induced damage to agricultural cultivation in Ukraine [dataset]\" ","note":"The dataset includes: (i) crop cover raster and textual data at the village level; (ii) conflict indicators compiled from public sources and hand labeling of using high resolution satellite imagery and machine learning; and (iii) weather, distance to roads and gridded population data aggregated at the village level. All the files are listed in the hash report data_hash_report.xlsx."}]},"tags":[{"tag":"Accessible Data"},{"tag":"DOI"},{"tag":"Open Code"}],"schematype":"script"}