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.
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Appendices
Appendix 1: demographic details of LGAS studied
Serial | State | LGA name | Size (Sq Km) | Population | Poverty ratio (fraction of total population in poverty) | Unemployment ratio (fraction of total population unemployed) | Number of COT reports | Total length of pipelines/LGA(KM) |
---|---|---|---|---|---|---|---|---|
1 | Ba elsa | Southern Ijaw | 2674 | 379,412 | 0.439999262 | 0.213000643 | 415 | 126.93 |
2 | Bayelsa | Ekeremor | 1801 | 317,844 | 0.439998867 | 0.213000717 | 31 | 52.10 |
3 | Bayelsa | Kolokuma/Opokuma | 361 | 93,455 | 0.43999786 | 0.21300091 | 0 | 2.90 |
4 | Bayelsa | Yenegoa | 704 | 415,344 | 0.439999133 | 0.212999345 | 27 | 49.08 |
5 | Bayelsa | Sagbama | 943 | 220,319 | 0.439998366 | 0.213000241 | 9 | 17.90 |
6 | Bayelsa | Brass | 1409 | 217,085 | 0.439998157 | 0.212999516 | 103 | 49.77 |
7 | Bayelsa | Ogbia | 695 | 211,755 | 0.439999056 | 0.213000874 | 8 | 49.08 |
8 | Bayelsa | Nembe | 758 | 154,409 | 0.440000259 | 0.212999242 | 100 | 95.49 |
9 | Delta | Ndokwa West | 815 | 176,878 | 0.539999322 | 0.212999921 | 1 | 4.50 |
10 | Delta | Sapele | 450 | 205,468 | 0.540001363 | 0.213001538 | 0 | 21.45 |
11 | Delta | Aniocha North | 407 | 122,689 | 0.539999511 | 0.213001981 | 0 | 0.00 |
12 | Delta | Oshimili South | 267 | 176,888 | 0.540002714 | 0.212999186 | 0 | 0.00 |
13 | Delta | Ward South West | 1757 | 137,398 | 0.540000582 | 0.213001645 | 27 | 138.23 |
14 | Delta | Aniocha South | 870 | 167,471 | 0.53999797 | 0.212998071 | 0 | 0.00 |
15 | Delta | Patani | 217 | 74,454 | 0.539997851 | 0.213004002 | 3 | 0.00 |
16 | Delta | Ward South | 634 | 367,813 | 0.539999946 | 0.212999541 | 2 | 40.88 |
17 | Delta | Ukwuani | 409 | 140,341 | 0.539999002 | 0.213002615 | 0 | 0.00 |
18 | Delta | Ndokwa East | 1608 | 121,701 | 0.539995563 | 0.212997428 | 4 | 17.60 |
19 | Delta | Ughelli South | 784 | 250,700 | 0.54 | 0.212999601 | 3 | 32.53 |
20 | Delta | Ughelli North | 820 | 378,090 | 0.540001058 | 0.21299955 | 4 | 55.01 |
21 | Delta | Udu | 131 | 167,984 | 0.539997857 | 0.213002429 | 1 | 6.20 |
22 | Delta | Ethiope East | 380 | 236,911 | 0.540000253 | 0.212999818 | 1 | 4.70 |
23 | Delta | Ethiope West | 537 | 238,997 | 0.540001113 | 0.213000594 | 1 | 28.89 |
24 | Delta | Okpe | 445 | 151,381 | 0.540001718 | 0.212998989 | 0 | 37.61 |
25 | Delta | Bomadi | 129 | 101,413 | 0.539999803 | 0.213000306 | 0 | 10.40 |
26 | Delta | Oshimili North | 510 | 139,758 | 0.53999771 | 0.212996752 | 0 | 0.00 |
27 | Delta | Burutu | 1927 | 245,205 | 0.540001223 | 0.213001366 | 1 | 8.80 |
28 | Delta | Ward North | 1855 | 160,520 | 0.540001246 | 0.213001495 | 5 | 84.80 |
29 | Delta | Uvwie | 95 | 222,510 | 0.539998202 | 0.213001663 | 0 | 15.20 |
30 | Delta | !sok° North | 478 | 169,256 | 0.539998582 | 0.213002789 | 0 | 35.46 |
31 | Delta | Ika North East | 464 | 215,544 | 0.540001113 | 0.213000594 | 0 | 0.00 |
32 | Delta | !sok° South | 705 | 277,238 | 0.539998582 | 0.213002789 | 6 | 39.65 |
33 | Delta | Ika South | 435 | 196,964 | 0.540002234 | 0.212998314 | 0 | 0.00 |
34 | Rivers | Ahoada East | 342 | 196,096 | 0.469999388 | 0.212997715 | 4 | 42.07 |
35 | Rivers | Ogba/Egbema/Ndoni | 968 | 334,004 | 0.470000359 | 0.213000443 | 60 | 84.70 |
36 | Rivers | Andoni | 233 | 256,932 | 0.469999844 | 0.213001884 | 1 | 19.22 |
37 | Rivers | Degema | 1009 | 294,122 | 0.469998844 | 0.213000048 | 20 | 65.95 |
38 | Rivers | Ogu/Bolo | 89 | 88,757 | 0.470002366 | 0.212997285 | 0 | 0.00 |
39 | Rivers | Ahoada West | 403 | 293,232 | 0.469999864 | 0.212998581 | 31 | 52.89 |
40 | Rivers | Oyigbo | 248 | 147,765 | 0.470003045 | 0.213000372 | 10 | 43.02 |
41 | Rivers | Omumma | 170 | 118,357 | 0.469993325 | 0.212999654 | 5 | 1.48 |
42 | Rivers | Aku ku Toru | 1439 | 189,940 | 0.470001053 | 0.212998842 | 22 | 118.06 |
43 | Rivers | Bonn | 640 | 253,465 | 0.469998519 | 0.213003109 | 10 | 67.68 |
44 | Rivers | Abua/Odual | 704 | 332,961 | 0.469997988 | 0.213000922 | 2 | 68.43 |
45 | Rivers | Etche | 805 | 294,678 | 0.470001154 | 0.212998595 | 14 | 10.10 |
46 | Rivers | Port Harcourt | 109 | 634,960 | 0.469999685 | 0.212999244 | 0 | 1.81 |
47 | Rivers | Obio/Akpor | 260 | 545,111 | 0.469999688 | 0.213000655 | 7 | 54.86 |
48 | Rivers | lkwe rre | 656 | 222,748 | 0.470001975 | 0.212998545 | 7 | 35.85 |
49 | Rivers | Gokana | 126 | 275,665 | 0.470001632 | 0.213001288 | 25 | 22.23 |
50 | Rivers | Tai | 159 | 141,843 | 0.469998519 | 0.213003109 | 0 | 19.18 |
51 | Rivers | Khana | 560 | 345,357 | 0.539998202 | 0.213001663 | 4 | 17.26 |
52 | Rivers | Okrika | 222 | 262,074 | 0.470000839 | 0.213000908 | 1 | 15.10 |
53 | Rivers | Asari Toru | 113 | 259,129 | 0.469997569 | 0.212998159 | 2 | 9.40 |
54 | Rivers | Eleme | 138 | 224,239 | 0.469998528 | 0.213000415 | 3 | 23.40 |
55 | Rivers | Opobo/Nkoro | 130 | 180,190 | 0.469998335 | 0.212997392 | 0 | 10.54 |
56 | Rivers | Emuohua | 833 | 237,046 | 0.470001603 | 0.213000852 | 3 | 76.02 |
Appendix 2: rate of theft per 30 km of pipeline/by LGA
Serial | State | LGA name | Rate per 30 km/LGA |
---|---|---|---|
1 | Bayelsa | Southern Ijaw | 134.21 |
2 | Bayelsa | Ekeremor | 55.91 |
3 | Bayelsa | Kolokuma/Opokuma | 5.80 |
4 | Bayelsa | Yenegoa | 36.40 |
5 | Bayelsa | Sagbama | 14.51 |
6 | Bayelsa | Brass | 51.46 |
7 | Bayelsa | Ogbia | 12.27 |
8 | Bayelsa | Nembe | 162.44 |
9 | Delta | Ndokwa West | 0.51 |
10 | Delta | Sapele | 1.84 |
11 | Delta | Aniocha North | 0.00 |
12 | Delta | Oshimili South | 0.00 |
13 | Delta | Warri South West | 31.92 |
14 | Delta | Aniocha South | 0.00 |
15 | Delta | Patani | 0.00 |
16 | Delta | Warri South | 4.29 |
17 | Delta | Ukwuani | 0.00 |
18 | Delta | Ndokwa East | 2.53 |
19 | Delta | Ughelli South | 13.08 |
20 | Delta | Ughelli North | 6.36 |
21 | Delta | Udu | 2.26 |
22 | Delta | Ethiope East | 1.69 |
23 | Delta | Ethiope West | 3.26 |
24 | Delta | Okpe | 3.80 |
25 | Delta | Bomadi | 3.79 |
26 | Delta | Oshimili North | 0.00 |
27 | Delta | Burutu | 3.84 |
28 | Delta | Warri North | 28.75 |
29 | Delta | Uvwie | 1.01 |
30 | Delta | Isoko North | 3.67 |
31 | Delta | Ika North East | 0.00 |
32 | Delta | Isoko South | 18.80 |
33 | Delta | Ika South | 0.00 |
34 | Rivers | Ahoada East | 29.15 |
35 | Rivers | Ogba/Egbema/Ndoni | 40.23 |
36 | Rivers | Andoni | 4.21 |
37 | Rivers | Degema | 55.30 |
38 | Rivers | Ogu/Bolo | 0.00 |
39 | Rivers | Ahoada West | 36.18 |
40 | Rivers | Oyigbo | 17.77 |
41 | Rivers | Omumma | 1.20 |
42 | Rivers | Akuku Toru | 72.90 |
43 | Rivers | Bonny | 44.56 |
44 | Rivers | Abua/Odual | 12.94 |
45 | Rivers | Etche | 1.26 |
46 | Rivers | Port Harcourt | 0.49 |
47 | Rivers | Obio/Akpor | 20.04 |
48 | Rivers | Ikwerre | 13.47 |
49 | Rivers | Gokana | 1.18 |
50 | Rivers | Tai | 10.46 |
51 | Rivers | Khana | 2.93 |
52 | Rivers | Okrika | 4.63 |
53 | Rivers | Asari Toru | 2.57 |
54 | Rivers | Eleme | 16.62 |
55 | Rivers | Opobo/Nkoro | 2.12 |
56 | Rivers | Emuohua | 4.10 |
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Ngada, T., Bowers, K. Spatial and temporal analysis of crude oil theft in the Niger delta. Secur J 31, 501–523 (2018). https://doi.org/10.1057/s41284-017-0112-3
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DOI: https://doi.org/10.1057/s41284-017-0112-3