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Examining the causes and impacts of pipeline disasters in Nigeria.

Johnson, Francis I.; Laing, Richard; Bjeirmi, Bassam; Leon, Marianthi


Richard Laing

Marianthi Leon


The effect of pipeline vandalism among other pipeline disasters has been drastic on the Nigerian economy. The research aims to examine the level of awareness of stakeholders on the immediate and remote causes of pipeline disasters in Nigeria. This involved comprehensive review of literature along with semi-structured and open-ended interviews (as a pilot study) to enrich and strengthen the literature in Nigerian context and subsequently follow-up with semi-structured questionnaire survey; analyzed through content analysis using both descriptive and inferential statistics. In the methodology, three levels were adopted: confirmatory factor analysis (CFA), measurement model and structural model in the carrying out of structural equation modelling (SEM) analysis. The CFA analyzes the relationship between the dominant’s variables and their related indicators. Based on the analysis carried out, activities of vandals has the highest influence on pipeline disasters. Human impacts resulting from pipeline disasters are very significant in Nigeria. Also, ecological impacts resulting from pipeline disasters have been extremely significant in Nigeria. There is high level of awareness of pipeline disasters among the different stakeholders interviewed.


JOHNSON, F.I., LAING, R., BJEIRMI, B. and LEON, M. 2022. Examining the causes and impacts of pipeline disasters in Nigeria. AIMS environmental science [online], 9(5), pages 636-657. Available from:

Journal Article Type Article
Acceptance Date Sep 13, 2022
Online Publication Date Sep 27, 2022
Publication Date Oct 31, 2022
Deposit Date Sep 30, 2022
Publicly Available Date Sep 30, 2022
Journal AIMS environmental science
Electronic ISSN 2372-0352
Publisher AIMS Press
Peer Reviewed Peer Reviewed
Volume 9
Issue 5
Pages 636-657
Keywords Oil spill; Oil theft; Vandalism; Environmental impact mitigation; Confirmatory factor analysis; Structural equation modeling
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JOHNSON 2022 Examining the causes (VOR) (1.6 Mb)

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© 2022 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License (

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