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ASONGU, SIMPLICE A. (2) answer(s).
 
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ID:   184236


Drivers and Persistence of Death in Conflicts: Global Evidence / Asongu, Simplice A. ; Uduji, Joseph I. ; Okolo-Obasi, Elda N.   Journal Article
Simplice A. Asongu Journal Article
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Summary/Abstract We investigate persistence and determinants of deaths from conflicts in a sample of 163 countries for the period 2010–2015. The empirical evidence is based on the Generalized Method of Moments. First, the findings are contingent on income levels, religious domination, landlockedness, regional proximity, and legal origins. We find that the persistence of deaths in internal conflict is more apparent in coastal, French civil law, and Islam-oriented countries, compared to landlocked, English common law, Christian-oriented countries, respectively. Second, the following factors are generally responsible for driving deaths from internal conflicts: homicides, conflict intensity, and conflicts fought. Furthermore, incarcerations have negative effects on internal conflicts. Justifications for the established tendencies and policy implications are discussed.
Key Words War  Violence  Conflicts  Homicide  Persistence  Global Evidence 
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2
ID:   193259


Human development and governance in Africa: do good fences make good neighbors? / Asongu, Simplice A.   Journal Article
Asongu, Simplice A. Journal Article
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Summary/Abstract This study examines the nexus between governance and human development in Africa. It uses data for the period 2010–2019 and takes into account the existence of spatial dependence and controls for the endogeneity problem through a Generalized Spatial Two Stage Least Squares (2SLS) technique. The exploratory spatial data analysis reveals the existence of spatial dependence on human development and governance quality. Our empirical findings support that in Africa, “good fences make good neighbors,” or proximity matters in the distribution of human development. Implications are discussed. This study complements the extant literature by using more updated data and employing an alternative and more robust estimation approach.
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