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Exploring Group-Threat and Police-In...

Maksuta, Kyle Demori,

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Exploring Group-Threat and Police-Involved Homicide: A Spatial Analysis of Police Involved Homicide in US Counties /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Exploring Group-Threat and Police-Involved Homicide: A Spatial Analysis of Police Involved Homicide in US Counties // Kyle Demori Maksuta.
作者:	Maksuta, Kyle Demori,
面頁冊數:	1 electronic resource (146 pages)
附註:	Source: Dissertations Abstracts International, Volume: 83-03, Section: A.
Contained By:	Dissertations Abstracts International83-03A.
標題:	Sociology. -
電子資源:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28649886
ISBN:	9798535534503

Exploring Group-Threat and Police-Involved Homicide: A Spatial Analysis of Police Involved Homicide in US Counties /
Maksuta, Kyle Demori,

Exploring Group-Threat and Police-Involved Homicide: A Spatial Analysis of Police Involved Homicide in US Counties /Kyle Demori Maksuta. - 1 electronic resource (146 pages)

Source: Dissertations Abstracts International, Volume: 83-03, Section: A.

The recent advent of the Black Lives Matter movement has reinvigorated criminological inquiry into police violence. Recent advances in spatial analysis have opened new opportunities for understanding the spatial relationship between social structure and police violence. Spatial analysis is both statistically and substantively important to our understanding of police-involved-homicide (PIH), yet few studies have attempted to marry recent advances in spatial econometrics to this topic. The current study introduces spatial Durbin modeling (SDM) as a particularly useful approach to studying the spatial relationships between variables associated with group threat theory and PIH. Previous research has demonstrated the connections between group threat and PIH, however, the relationship has been tenuous. The incorporation of spatial factors into the equation allows for greater precision in our understanding of not only why these tragic events occur, but also where. To answer these questions, I build on previous research incorporating crowdsourced data on PIH from 2013-2019, with data from the 2012 American Community Survey, and the 2012 Uniform Crime Report. Findings from this study suggest that racial threat is not a significant predictor of police-involved homicide. Additionally, I find that economic threat, specifically the Gini coefficient and concentrated disadvantage exhibit significant direct effects on police-involved homicide, but the Gini coefficient also exhibits a significant positive indirect effect on police-involved homicide. Violent crime also exhibits a significant positive indirect effect. Overall, the present study sheds light on the effects of neighboring counties on focal county police-involved homicide and extends the application of group-threat into the spatial realm.

English

ISBN: 9798535534503Subjects--Topical Terms:

516174
Sociology.
Subjects--Index Terms:

Group threat

Exploring Group-Threat and Police-Involved Homicide: A Spatial Analysis of Police Involved Homicide in US Counties /
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520 $a The recent advent of the Black Lives Matter movement has reinvigorated criminological inquiry into police violence. Recent advances in spatial analysis have opened new opportunities for understanding the spatial relationship between social structure and police violence. Spatial analysis is both statistically and substantively important to our understanding of police-involved-homicide (PIH), yet few studies have attempted to marry recent advances in spatial econometrics to this topic. The current study introduces spatial Durbin modeling (SDM) as a particularly useful approach to studying the spatial relationships between variables associated with group threat theory and PIH. Previous research has demonstrated the connections between group threat and PIH, however, the relationship has been tenuous. The incorporation of spatial factors into the equation allows for greater precision in our understanding of not only why these tragic events occur, but also where. To answer these questions, I build on previous research incorporating crowdsourced data on PIH from 2013-2019, with data from the 2012 American Community Survey, and the 2012 Uniform Crime Report. Findings from this study suggest that racial threat is not a significant predictor of police-involved homicide. Additionally, I find that economic threat, specifically the Gini coefficient and concentrated disadvantage exhibit significant direct effects on police-involved homicide, but the Gini coefficient also exhibits a significant positive indirect effect on police-involved homicide. Violent crime also exhibits a significant positive indirect effect. Overall, the present study sheds light on the effects of neighboring counties on focal county police-involved homicide and extends the application of group-threat into the spatial realm.
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650 4 $a Uniform Crime Reports. $3 3817530
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650 4 $a Shootings. $3 3685556
650 4 $a Bias. $2 gtt $3 1374837
650 4 $a African Americans. $3 724919
650 4 $a Racism. $3 519298
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