2013
DOI: 10.1177/0022343313492991
|View full text |Cite
|
Sign up to set email alerts
|

War and famine, peace and light? The economic dynamics of conflict in Somalia 1993–2009

Abstract: The literature on war economies argues that prolonged civil wars have an economic logic: certain groups may obtain material gains from committing acts of violence and hence resist peacebuilding efforts. Objective tests of these predictions have so far been limited, as corruption and conflict prevent the collection of reliable economic data on the ground. Remote sensing and Geographic Information Science techniques enable us to overcome these problems of terrestrial data collection. Electricity consumption mani… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

0
17
0

Year Published

2015
2015
2024
2024

Publication Types

Select...
7
2
1

Relationship

0
10

Authors

Journals

citations
Cited by 36 publications
(18 citation statements)
references
References 45 publications
0
17
0
Order By: Relevance
“…18. Chen and Nordhaus (2011), Sutton et al (2007), Michalopoulos and Papaioannou (2013), Noor et al (2008), and Shortland et al (2013). 19.…”
Section: Discussionmentioning
confidence: 99%
“…18. Chen and Nordhaus (2011), Sutton et al (2007), Michalopoulos and Papaioannou (2013), Noor et al (2008), and Shortland et al (2013). 19.…”
Section: Discussionmentioning
confidence: 99%
“…In general, light output has only rarely been used to evaluate the costs of conflicts. Li et al (2013) Shortland et al (2013) analyze the economic impact of conflict on local light output in Somalia.…”
mentioning
confidence: 99%
“…In the present case, there are primarily two reasons for selecting lighting data: first, the brightness distribution on the surface of the earth at night is closely related to human activities; second, with advancements in remote sensing interpretation technologies, a wider time-span and coverage of global lighting data can be extracted and used. In addition, considering the advantages above, nighttime light data have also been widely accepted and applied in other research fields, such as energy use forecasting, gross domestic productivity evaluation, and population distribution estimation 24 26 .…”
Section: Background and Summarymentioning
confidence: 99%