Introducing the Peacekeeping Mandates (PEMA) Dataset

71 Pages Posted: 19 Nov 2020 Last revised: 15 Feb 2021

See all articles by Jessica Di Salvatore

Jessica Di Salvatore

University of Warwick

Magnus Lundgren

University of Gothenburg - Department of Political Science

Kseniya Oksamytna

King's College London

Hannah Smidt

University of Zurich

Date Written: October 2, 2020

Abstract

Research on UN peacekeeping operations has established that mission 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 or revise mandates of 27 UN peacekeeping operations in Africa in the 1991-2017 period, the Peacekeeping Mandates (PEMA) dataset can fill this gap. It records 39 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 et al.’s (2013) analysis of missions’ ability to protect civilians. Our results show that host governments and rebel groups respond differently to civilian protection mandates.

Keywords: UN Security Council Resolutions, Peacekeeping, Mandates, Tasks

Suggested Citation

Di Salvatore, Jessica and Lundgren, Magnus and Oksamytna, Kseniya and Smidt, Hannah, Introducing the Peacekeeping Mandates (PEMA) Dataset (October 2, 2020). Available at SSRN: https://ssrn.com/abstract=3703503 or http://dx.doi.org/10.2139/ssrn.3703503

Jessica Di Salvatore

University of Warwick ( email )

University of Warwick
Social Science Building
Coventry, Warwickshire CV47AL
United Kingdom

Magnus Lundgren

University of Gothenburg - Department of Political Science ( email )

Box 711
Göteborg, S-405 30
Sweden

Kseniya Oksamytna

King's College London ( email )

King's College London, Strand
London, WC2R 2LS
United Kingdom

Hannah Smidt (Contact Author)

University of Zurich ( email )

Rämistrasse 71
Zürich, CH-8006
Switzerland

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