TY - JOUR
T1 - Social Cohesion and Collective Violence
T2 - Latent Variable Approach to Explaining Riots in East Jerusalem
AU - Haran Diman, Amiad
AU - Miodownik, Dan
N1 - Publisher Copyright:
© 2022 The Author(s). Published with license by Taylor & Francis Group, LLC.
PY - 2022
Y1 - 2022
N2 - Does social cohesion explain variation in violence within divided cities? In line with insights drawn from the ethnic politics, criminology and urban geography literature we suggest that explaining variation in intergroup violence is not possible by relying on motivational elements alone, and attention to social cohesion is required as well. While cohesion can facilitate collective action that aids violent mobilization, it can also strengthen social order that contributes to the group’s capability to control and prevent unrest. We test these relationships using an application of a latent variable model to an integration of survey results, crime data and expert-coded data in order to measure cohesion in East Jerusalem neighborhoods. We then analyze its impact on riots using three original geolocated datasets recording violence in the neighborhoods between the years 2013 and 2015. Our results reveal that even with controls for economic and political determinants of violence, as well as for spatial clustering and temporal explanations, neighborhood-level social cohesion is a robust explanatory variable that negatively correlates with riots.
AB - Does social cohesion explain variation in violence within divided cities? In line with insights drawn from the ethnic politics, criminology and urban geography literature we suggest that explaining variation in intergroup violence is not possible by relying on motivational elements alone, and attention to social cohesion is required as well. While cohesion can facilitate collective action that aids violent mobilization, it can also strengthen social order that contributes to the group’s capability to control and prevent unrest. We test these relationships using an application of a latent variable model to an integration of survey results, crime data and expert-coded data in order to measure cohesion in East Jerusalem neighborhoods. We then analyze its impact on riots using three original geolocated datasets recording violence in the neighborhoods between the years 2013 and 2015. Our results reveal that even with controls for economic and political determinants of violence, as well as for spatial clustering and temporal explanations, neighborhood-level social cohesion is a robust explanatory variable that negatively correlates with riots.
UR - http://www.scopus.com/inward/record.url?scp=85133025931&partnerID=8YFLogxK
U2 - 10.1080/1057610X.2022.2074394
DO - 10.1080/1057610X.2022.2074394
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AN - SCOPUS:85133025931
SN - 1057-610X
JO - Studies in Conflict and Terrorism
JF - Studies in Conflict and Terrorism
ER -