|
View: |
Part 1: Document Description
|
|
Citation |
|
|---|---|
|
Title: |
Replication Data for: Food, State Power, and Rebellion: The Case of Maize |
|
Identification Number: |
doi:10.7910/DVN/N9TTIA |
|
Distributor: |
Harvard Dataverse |
|
Date of Distribution: |
2018-09-15 |
|
Version: |
1 |
|
Bibliographic Citation: |
Ore Koren, 2018, "Replication Data for: Food, State Power, and Rebellion: The Case of Maize", https://doi.org/10.7910/DVN/N9TTIA, Harvard Dataverse, V1 |
|
Citation |
|
|
Title: |
Replication Data for: Food, State Power, and Rebellion: The Case of Maize |
|
Identification Number: |
doi:10.7910/DVN/N9TTIA |
|
Authoring Entity: |
Ore Koren (Indiana University Bloomington) |
|
Distributor: |
Harvard Dataverse |
|
Access Authority: |
Interactions, International |
|
Depositor: |
Interactions, International |
|
Date of Deposit: |
2018-09-15 |
|
Holdings Information: |
https://doi.org/10.7910/DVN/N9TTIA |
|
Study Scope |
|
|
Keywords: |
Social Sciences |
|
Abstract: |
Why do rebellions occur and persist in some countries but not in others? Evidence shows that natural resources affect the fighting capacity of rebel groups, yet by focusing on lucrative resources that are rare in most rebellion-afflicted countries, such as oil and diamonds, scholars neglected one necessary input for rebellion: staple crops. Focusing on maize, the world’s most prevalent staple, this study argues that, as one of the most important resources for rebel groups, maize can have a destabilizing effect on the state’s ability to thwart rebellion. These claims are corroborated statistically on a new time-varying, high-resolution global dataset of staple crop productivity, and then qualitatively through analysis of archival records on the Mau Mau rebellion. In identifying an overlooked, global linkage between agricultural abundance, state capacity, and intrastate violence, this study explains strong geographical and temporal variations in rebellions at both the subnational and global levels. |
|
Methodology and Processing |
|
|
Sources Statement |
|
|
Data Access |
|
|
Notes: |
<a href="http://creativecommons.org/publicdomain/zero/1.0">CC0 1.0</a> |
|
Other Study Description Materials |
|
|
Label: |
1. FSPR Replication Script.R |
|
Notes: |
type/x-r-syntax |
|
Label: |
2. Forecasting -- GLM and GAM out of sample.R |
|
Notes: |
type/x-r-syntax |
|
Label: |
3. Forecasting -- GLMs.R |
|
Notes: |
type/x-r-syntax |
|
Label: |
4. Forecasting -- GAMs.R |
|
Notes: |
type/x-r-syntax |
|
Label: |
5. Kenya maps (Figure 6).R |
|
Notes: |
type/x-r-syntax |
|
Label: |
README.txt |
|
Notes: |
text/plain |