Spatial dimensions of social unrest and armed violence

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Wong, Melvin Heen Lung: Spatial dimensions of social unrest and armed violence. Hannover : Gottfried Wilhelm Leibniz Universität, Diss., 2021, v, 228 S. DOI: https://doi.org/10.15488/11587

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Sum total of downloads: 393




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Abstract: 
Social unrest and armed violence rewind development achievements in the fight against poverty. This thesis examines various factors contributing to social unrest and armed violence in different parts of a country. A common method of this thesis is the empirical regression analysis of geo-spatial data to explain social unrest and armed violence. I find four results. First, social unrest occurs more likely in areas where droughts coincide with existing ethnic grievances. Second, to identify these grievances, we develop a novel spatial inequality measure between and within ethnic groups. Validation of the inequality measure against perceived differences in identity groups’ economic conditions shows that individuals feel ethnic grievances. Third, competition between armed groups causally increases the level of violence. Finally, there is no evidence that development aid increases civil wars, but Chinese aid seems to increase state repressions and a higher tolerance for autocratic rule. This thesis shows that spatial characteristics can help understand and explain social unrest and armed violence within countries.
License of this version: CC BY 3.0 DE
Document Type: DoctoralThesis
Publishing status: publishedVersion
Issue Date: 2021
Appears in Collections:Wirtschaftswissenschaftliche Fakultät
Dissertationen

distribution of downloads over the selected time period:

downloads by country:

pos. country downloads
total perc.
1 image of flag of Germany Germany 136 34.61%
2 image of flag of United States United States 70 17.81%
3 image of flag of Czech Republic Czech Republic 20 5.09%
4 image of flag of No geo information available No geo information available 18 4.58%
5 image of flag of Russian Federation Russian Federation 18 4.58%
6 image of flag of China China 15 3.82%
7 image of flag of United Kingdom United Kingdom 13 3.31%
8 image of flag of Italy Italy 10 2.54%
9 image of flag of Sweden Sweden 7 1.78%
10 image of flag of Spain Spain 7 1.78%
    other countries 79 20.10%

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