Ethnic and regional inequalities in Russian military fatalities in Ukraine: Preliminary findings from crowdsourced data
dc.contributor.author | Bessudnov, A | |
dc.date.accessioned | 2023-06-08T09:04:10Z | |
dc.date.issued | 2023-06-08 | |
dc.date.updated | 2023-06-08T08:04:35Z | |
dc.description.abstract | Objective: 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.extent | 883-898 | |
dc.identifier.citation | Vol. 48, pp. 883-898 | en_GB |
dc.identifier.doi | https://doi.org/10.4054/DemRes.2023.48.31 | |
dc.identifier.uri | http://hdl.handle.net/10871/133317 | |
dc.identifier | ORCID: 0000-0002-2541-9794 (Bessudnov, Aleksei) | |
dc.language.iso | en | en_GB |
dc.publisher | Max Planck Institute for Demographic Research | en_GB |
dc.relation.url | https://github.com/abessudnov/ruCasualtiesPublic | en_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.subject | armed conflict | en_GB |
dc.subject | fatality | en_GB |
dc.subject | military | en_GB |
dc.subject | mortality | en_GB |
dc.subject | Russia | en_GB |
dc.subject | Ukraine | en_GB |
dc.subject | war | en_GB |
dc.title | Ethnic and regional inequalities in Russian military fatalities in Ukraine: Preliminary findings from crowdsourced data | en_GB |
dc.type | Article | en_GB |
dc.date.available | 2023-06-08T09:04:10Z | |
dc.identifier.issn | 2363-7064 | |
dc.description | This is the final version. Available on open access from the Max Planck Institute for Demographic Research via the DOI in this record | en_GB |
dc.description | Data 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.journal | Demographic Research | en_GB |
dc.relation.ispartof | Demographic Research, 48 | |
dc.rights.uri | https://creativecommons.org/licenses/by/3.0/de/ | en_GB |
dcterms.dateSubmitted | 2022-12-19 | |
rioxxterms.version | VoR | en_GB |
rioxxterms.licenseref.startdate | 2023-06-08 | |
rioxxterms.type | Journal Article/Review | en_GB |
refterms.dateFCD | 2023-06-08T08:04:37Z | |
refterms.versionFCD | VoR | |
refterms.dateFOA | 2023-06-08T09:04:16Z | |
refterms.panel | C | en_GB |
refterms.dateFirstOnline | 2023-06-08 |
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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.