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Introducing the Peacekeeping Mandates (PEMA) Dataset

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Listed:
  • Jessica Di Salvatore
  • Magnus Lundgren
  • Kseniya Oksamytna
  • Hannah M. Smidt

Abstract

Research on UN peacekeeping operations has established that operations' size and composition affect peacekeeping success. However, we lack systematic data for evaluating whether variation in tasks assigned to UN peacekeeping mandates matters and what explains different configurations of mandated tasks in the first place. Drawing on UN Security Council resolutions that establish, extend, or revise mandates of 27 UN peacekeeping operations in Africa in the 1991–2017 period, the Peacekeeping Mandates (PEMA) dataset fills this gap. It records 41 distinct tasks, ranging from disarmament to reconciliation and electoral support. For each task, the PEMA dataset also distinguishes between three modalities of engagement (monitoring, assisting, and securing) and whether the task is requested or merely encouraged. To illustrate the usefulness of our data, we re-examine Hultman, Kathman, and Shannon’s (2013) analysis of operations’ ability to protect civilians. Our results show that host governments and rebel groups respond differently to civilian protection mandates.

Suggested Citation

  • Jessica Di Salvatore & Magnus Lundgren & Kseniya Oksamytna & Hannah M. Smidt, 2022. "Introducing the Peacekeeping Mandates (PEMA) Dataset," Journal of Conflict Resolution, Peace Science Society (International), vol. 66(4-5), pages 924-951, May.
    • Handle: RePEc:sae:jocore:v:66:y:2022:i:4-5:p:924-951
    DOI: 10.1177/00220027211068897
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    References listed on IDEAS

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    1. Deniz Cil & Hanne Fjelde & Lisa Hultman & Desirée Nilsson, 2020. "Mapping blue helmets: Introducing the Geocoded Peacekeeping Operations (Geo-PKO) dataset," Journal of Peace Research, Peace Research Institute Oslo, vol. 57(2), pages 360-370, March.
    2. Hultman, Lisa & Kathman, Jacob & Shannon, Megan, 2014. "Beyond Keeping Peace: United Nations Effectiveness in the Midst of Fighting," American Political Science Review, Cambridge University Press, vol. 108(4), pages 737-753, November.
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