Varied Incident Rates of Global Maritime Piracy: Toward a Model for State Policy Change

Maritime piracy is a problem that plagues our navigable seas. This study provides a quantitative understanding of factors that influence the frequency of yearly maritime piracy occurrences. Using a nonprobability sampling technique, 11 countries with reported cases of maritime piracy were purposeful...

Ausführliche Beschreibung

Gespeichert in:  
Bibliographische Detailangaben
1. VerfasserIn: Regan, Joshua (VerfasserIn)
Medienart: Elektronisch Aufsatz
Sprache:Englisch
Veröffentlicht: 2022
In: International criminal justice review
Jahr: 2022, Band: 32, Heft: 4, Seiten: 374-387
Online-Zugang: Vermutlich kostenfreier Zugang
Volltext (lizenzpflichtig)
Journals Online & Print:
Lade...
Verfügbarkeit prüfen: HBZ Gateway
Schlagwörter:

MARC

LEADER 00000naa a22000002c 4500
001 1817312081
003 DE-627
005 20220923051544.0
007 cr uuu---uuuuu
008 220923s2022 xx |||||o 00| ||eng c
024 7 |a 10.1177/1057567720944448  |2 doi 
035 |a (DE-627)1817312081 
035 |a (DE-599)KXP1817312081 
040 |a DE-627  |b ger  |c DE-627  |e rda 
041 |a eng 
084 |a 2,1  |2 ssgn 
100 1 |a Regan, Joshua  |e VerfasserIn  |4 aut 
245 1 0 |a Varied Incident Rates of Global Maritime Piracy: Toward a Model for State Policy Change 
264 1 |c 2022 
336 |a Text  |b txt  |2 rdacontent 
337 |a Computermedien  |b c  |2 rdamedia 
338 |a Online-Ressource  |b cr  |2 rdacarrier 
520 |a Maritime piracy is a problem that plagues our navigable seas. This study provides a quantitative understanding of factors that influence the frequency of yearly maritime piracy occurrences. Using a nonprobability sampling technique, 11 countries with reported cases of maritime piracy were purposefully selected. Open sourced data from the National Geospatial Intelligence Agency, the World Bank, the United Nations, the National Consortium for the Study of Terrorism and Responses to Terrorism, and the Center for Systemic Peace were utilized in this study. Using regression features, as well as socioeconomic and geopolitical data from these countries over a longitudinal period of 34 years (1985–2018), a time-series cross-sectional design provides an in-depth understanding of factors that affect the frequency of piracy occurrences. The four-factor model concluded that state weakness, total population size, gross domestic product, and total fish catch tonnage are found to be associated with the frequency of pirating activity worldwide. Policy implications and measures to mitigate piracy are also discussed. 
650 4 |a time-series cross-sectional analysis 
650 4 |a violence within international waters 
650 4 |a violence on the high seas 
650 4 |a hijackings 
650 4 |a Maritime piracy 
773 0 8 |i Enthalten in  |t International criminal justice review  |d Thousand Oaks, Calif : Sage, 1991  |g 32(2022), 4, Seite 374-387  |h Online-Ressource  |w (DE-627)48672476X  |w (DE-600)2187661-7  |w (DE-576)266542581  |x 1556-3855  |7 nnas 
773 1 8 |g volume:32  |g year:2022  |g number:4  |g pages:374-387 
856 |u https://zenodo.org/record/4201351  |x unpaywall  |z Vermutlich kostenfreier Zugang  |h repository [oa repository (via OAI-PMH doi match)] 
856 4 0 |u https://doi.org/10.1177/1057567720944448  |x Resolving-System  |z lizenzpflichtig  |3 Volltext 
935 |a mkri 
951 |a AR 
ELC |a 1 
LOK |0 000 xxxxxcx a22 zn 4500 
LOK |0 001 4191018701 
LOK |0 003 DE-627 
LOK |0 004 1817312081 
LOK |0 005 20220923051544 
LOK |0 008 220923||||||||||||||||ger||||||| 
LOK |0 035   |a (DE-2619)KrimDok#2022-09-22#F61425530F626353E6326AF2EFB7680D301716A6 
LOK |0 035   |a (DE-2619)KrimDok#2022-09-24#F61425530F626353E6326AF2EFB7680D301716A6 
LOK |0 035   |a (DE-2619)KrimDok#2022-09-26#F61425530F626353E6326AF2EFB7680D301716A6 
LOK |0 035   |a (DE-2619)KrimDok#2022-10-09#F61425530F626353E6326AF2EFB7680D301716A6 
LOK |0 035   |a (DE-2619)KrimDok#2022-10-24#F61425530F626353E6326AF2EFB7680D301716A6 
LOK |0 035   |a (DE-2619)KrimDok#2022-11-04#AE4F606A1F09577BEFC98CECB777C942AB67C4DB 
LOK |0 035   |a (DE-2619)KrimDok#2022-11-16#AE4F606A1F09577BEFC98CECB777C942AB67C4DB 
LOK |0 035   |a (DE-2619)KrimDok#2022-11-22#AE4F606A1F09577BEFC98CECB777C942AB67C4DB 
LOK |0 035   |a (DE-2619)KrimDok#2022-11-29#B0BAE2BDC058E05F90337D0B48BC9E81A51C4A7E 
LOK |0 035   |a (DE-2619)KrimDok#2022-12-10#B0BAE2BDC058E05F90337D0B48BC9E81A51C4A7E 
LOK |0 035   |a (DE-2619)KrimDok#2022-12-21#B0BAE2BDC058E05F90337D0B48BC9E81A51C4A7E 
LOK |0 035   |a (DE-2619)KrimDok#2023-01-03#B0BAE2BDC058E05F90337D0B48BC9E81A51C4A7E 
LOK |0 035   |a (DE-2619)KrimDok#2023-01-17#B0BAE2BDC058E05F90337D0B48BC9E81A51C4A7E 
LOK |0 035   |a (DE-2619)KrimDok#2023-01-29#B0BAE2BDC058E05F90337D0B48BC9E81A51C4A7E 
LOK |0 040   |a DE-2619  |c DE-627  |d DE-2619 
LOK |0 092   |o n 
LOK |0 852   |a DE-2619 
LOK |0 852 1  |9 00 
LOK |0 935   |a zota 
OAS |a 1 
ORI |a SA-MARC-krimdoka001.raw