Bowers, KJ;
Ngada, T;
(2017)
Spatial and temporal analysis of crude oil theft in the Niger delta.
Security Journal
10.1057/s41284-017-0112-3.
(In press).
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Abstract
This research sought to investigate patterns and correlates of the under-researched crime of crude oil theft (COT) in the context of the Niger Delta. The aim was to examine the feasibility of opportunity-, deprivation- and market-value-based explanations for COT patterns. A total of 1039 incidents of COT recorded by the Nigerian Oil Producers’ Trade Section during 2012–2014 were analysed. The results indicate that even when controlling for clustering of the oil pipeline infrastructure, spatial clustering of COT was statistically significant indicating manipulation of vulnerable situational contexts. No significant correlation was found between COT and the local unemployment or poverty rate. Finally, there was a moderate, significant positive temporal association between the volume of crude oil stolen and the international market price. The findings provide evidence that COTs are likely perpetrated by rationally motivated offenders and suggest that situational crime-prevention and market-reduction approaches show promise in proactively curtailing criminal opportunities.
| Type: | Article |
|---|---|
| Title: | Spatial and temporal analysis of crude oil theft in the Niger delta |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1057/s41284-017-0112-3 |
| Publisher version: | http://dx.doi.org/10.1057/s41284-017-0112-3 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Crude oil theft, Spatial clustering, Hot products, Situational prevention, Market-reduction approaches |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Security and Crime Science |
| URI: | https://discovery.ucl.ac.uk/id/eprint/1566754 |
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