Journal article
Does government response to natural disasters explain violence? The case of the Sendero Luminoso and conflict in Peru
Social science quarterly, Vol.105(5), pp.1493-1504
10/03/2024
DOI: 10.1111/ssqu.13438
Appears in UI Libraries Support Open Access
Abstract
Objective We consider how the Peruvian government's responses to natural disaster events shaped political violence patterns from 1989 to 2020. Methods We gather data on government disaster response and compare the effect of positive disaster responses, such as reconstruction and regulation of domestic/international aid, and negative disaster responses, such as neglect or placing restrictions on movement near the affected areas, on violent conflict. To address the endogeneity between armed conflict and disaster responses, we estimate a structural equation model where we allow armed conflicts and disaster responses to be fully endogenous. Results Using a structural equation model at the province‐year level, we show that negative disaster responses increase the risks for political violence, while positive disaster responses do not affect the risks for armed conflict. Armed conflict in turn makes negative policy responses to disasters more likely but has no effect on positive disaster responses. Conclusions The results suggest that poor government response to natural disasters can foster grievances and aid rebel recruitment, increasing the risks for armed conflicts.
Details
- Title: Subtitle
- Does government response to natural disasters explain violence? The case of the Sendero Luminoso and conflict in Peru
- Creators
- Sara McLaughlin Mitchell - University of IowaElise Pizzi - University of IowaCarly Millerd - University of IowaJeongho Choi - University of Iowa
- Resource Type
- Journal article
- Publication Details
- Social science quarterly, Vol.105(5), pp.1493-1504
- DOI
- 10.1111/ssqu.13438
- ISSN
- 0038-4941
- eISSN
- 1540-6237
- Publisher
- Wiley
- Grant note
- National Science Foundation: SES-2148845
We thank Jesse Acevedo and Neeraj Prasad for comments on an earlier version of this study. We are grateful to our DMV Lab research assistants () for their help in collecting data presented in this study. Support for this research comes from National Science Foundation grant SES-2148845.
- Language
- English
- Electronic publication date
- 08/31/2024
- Date published
- 10/03/2024
- Academic Unit
- Center for Social Science Innovation; Political Science; Law Faculty
- Record Identifier
- 9984700232902771
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