Show simple item record

dc.contributor.authorBessudnov, A
dc.date.accessioned2023-06-08T09:04:10Z
dc.date.issued2023-06-08
dc.date.updated2023-06-08T08:04:35Z
dc.description.abstractObjective: This paper investigates ethnic and regional disparities in fatality rates in the Russian military in 2022‒2023 during the war in Ukraine. Methods: The analysis uses a new crowdsourced dataset comprising the names of over 20,000 Russian soldiers killed in Ukraine between February 2022 and April 2023. This dataset was compiled by a team of volunteers who gathered information from social media and other accessible sources. The dataset is incomplete and therefore the findings reported in this paper are tentative. Mortality rates and relative risks are estimated by ethnic group and region, and a linear model is fitted to assess the correlation between the ethnic composition of the population, socioeconomic factors, and regional fatality rates. Results: The study reveals significant disparities in military fatality rates across Russian regions, with the highest mortality observed among soldiers originating from economically disadvantaged areas in Siberia and the Russian Far East and the lowest among soldiers from Moscow and St. Petersburg. Buryats and Tuvans are overrepresented among the fatalities relative to their population share. However, when regional socioeconomic disparities are accounted for, ethnic differences in mortality rates are considerably reduced. Conclusions: The observed regional and ethnic fatality disparities appear to be driven by socioeconomic inequalities between regions. Contribution: This paper evaluates social inequalities in fatalities in the Russian military in Ukraine and compares these findings with research on US military casualties.en_GB
dc.format.extent883-898
dc.identifier.citationVol. 48, pp. 883-898en_GB
dc.identifier.doihttps://doi.org/10.4054/DemRes.2023.48.31
dc.identifier.urihttp://hdl.handle.net/10871/133317
dc.identifierORCID: 0000-0002-2541-9794 (Bessudnov, Aleksei)
dc.language.isoenen_GB
dc.publisherMax Planck Institute for Demographic Researchen_GB
dc.relation.urlhttps://github.com/abessudnov/ruCasualtiesPublicen_GB
dc.rights© 2023 Alexey Bessudnov. This open-access work is published under the terms of the Creative Commons Attribution 3.0 Germany (CC BY 3.0 DE), which permits use, reproduction, and distribution in any medium, provided the original author(s) and source are given credit. See https://creativecommons.org/licenses/by/3.0/de/legalcode.en_GB
dc.subjectarmed conflicten_GB
dc.subjectfatalityen_GB
dc.subjectmilitaryen_GB
dc.subjectmortalityen_GB
dc.subjectRussiaen_GB
dc.subjectUkraineen_GB
dc.subjectwaren_GB
dc.titleEthnic and regional inequalities in Russian military fatalities in Ukraine: Preliminary findings from crowdsourced dataen_GB
dc.typeArticleen_GB
dc.date.available2023-06-08T09:04:10Z
dc.identifier.issn2363-7064
dc.descriptionThis is the final version. Available on open access from the Max Planck Institute for Demographic Research via the DOI in this recorden_GB
dc.descriptionData availability: The data and the R code for replication analysis can be found at the Github repository: https://github.com/abessudnov/ruCasualtiesPublic. The names of the deceased servicemen and their implied ethnicity have been removed from the dataset. However, 93% of the records contain links to archived original social media posts and other reports, allowing the information to be verified.en_GB
dc.identifier.journalDemographic Researchen_GB
dc.relation.ispartofDemographic Research, 48
dc.rights.urihttps://creativecommons.org/licenses/by/3.0/de/en_GB
dcterms.dateSubmitted2022-12-19
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2023-06-08
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2023-06-08T08:04:37Z
refterms.versionFCDVoR
refterms.dateFOA2023-06-08T09:04:16Z
refterms.panelCen_GB
refterms.dateFirstOnline2023-06-08


Files in this item

This item appears in the following Collection(s)

Show simple item record

© 2023 Alexey Bessudnov. This open-access work is published under the terms of the Creative Commons Attribution 3.0 Germany (CC BY 3.0 DE), which permits use, reproduction, and distribution in any medium, provided the original author(s) and source are given credit. See https://creativecommons.org/licenses/by/3.0/de/legalcode.
Except where otherwise noted, this item's licence is described as © 2023 Alexey Bessudnov. This open-access work is published under the terms of the Creative Commons Attribution 3.0 Germany (CC BY 3.0 DE), which permits use, reproduction, and distribution in any medium, provided the original author(s) and source are given credit. See https://creativecommons.org/licenses/by/3.0/de/legalcode.