2011
DOI: 10.3849/1802-7199.11.2011.01.032-052
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Effect of regionalization on the allocation of third-party peace operations

Abstract: Abstrakt Abstract The paper "Effect of regionalization on the allocation of third-party peace operations" aims to discuss and then empirically test on large-N data what is the effect of the joint activity of the United Nations, regional organizations and ad hoc coalitions of states on the allocation of peace operations in the world. It is argued that after the end of the Cold

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Cited by 1 publication
(2 citation statements)
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“…In their discussion, they argue, however, that the Pacific should be seen as a region with a distinct intervention pattern. Zakopalova (2011) categorizes the countries of the post-Soviet space as in the Asian region. Even the UN uses different regional criteria, depending on the UN unit.…”
Section: Milinda: Defining Peace Operations and Their Mandatesmentioning
confidence: 99%
See 1 more Smart Citation
“…In their discussion, they argue, however, that the Pacific should be seen as a region with a distinct intervention pattern. Zakopalova (2011) categorizes the countries of the post-Soviet space as in the Asian region. Even the UN uses different regional criteria, depending on the UN unit.…”
Section: Milinda: Defining Peace Operations and Their Mandatesmentioning
confidence: 99%
“…A number of studies actually mention that the regionalization trend is potentially regionally differentiated. Many studies note Africa’s and Europe’s leadership in the realm of military interventions while at the same time emphasizing the absence of peacekeeping by ROs in other regions (Bellamy and Williams, 2005, 2015; De Guttry, 2011; Zakopalova, 2011). This raises the general question not only whether it is indeed possible to observe a regionalization of peace operations on a global scale (for all regions in a similar way) but also whether there are distinct peacekeeping patterns constituted by different actor combinations or mission types.…”
Section: Why Milinda? Rationale For a New Datasetmentioning
confidence: 99%