| ID | 173893 |
| Title Proper | Mapping blue helmets |
| Other Title Information | introducing the Geocoded Peacekeeping Operations (Geo-PKO) dataset |
| Language | ENG |
| Author | Hultman, Lisa ; Fjelde, Hanne ; Cil, Deniz |
| Summary / Abstract (Note) | In this article, we introduce the Geocoded Peacekeeping Operations (Geo-PKO) dataset, which presents new data on subnational peacekeeping deployment for all UN missions to Africa, 1994–2014. The Geo-PKO dataset is the most comprehensive dataset of its kind and enables scholars to address new questions about peacekeeping operations and their effects by exploring variations in peacekeeping at the subnational level. The dataset offers information on several key features of peacekeeping deployment at the local level, such as data on the size of deployments and how these vary over time, as well as information on the location of mission headquarters, the type of peacekeepers deployed, and which troop-contributing countries deploy to each location. This article describes the data collection process and illustrates some of the many utilities of this dataset for the scholarly community. For example, we show that peacekeeping troops are able to reduce battle-related violence in areas with high road density, suggesting that peacekeepers’ ability to project their power is stronger when they can increase their reach and more easily patrol larger territories. Hence, our data can fruitfully be combined with information such as socio-economic, geographical or demographic characteristics, to further explore how peacekeeping operations can contribute to peace and security in the areas where they operate. By providing fine-grained data on the location of peacekeepers across time and space, the Geo-PKO dataset should help facilitate important inquires that can push the research agenda on peacekeeping forward. |
| `In' analytical Note | Journal of Peace Research Vol. 57, No.2; Mar 2020: p.360–370 |
| Journal Source | Journal of Peace Research Vol: 57 No 2 |
| Key Words | Peacekeeping ; Civil Conflict ; Subnational Data |