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A meta-analysis of multi-factors leading to performance challenges across Nigeria’s state-owned refineries. [Dataset]


Obinna Iheukwumere
Data Collector

David Moore
Data Collector

Temitope Omotayo
Data Collector


This paper measured the significant factors leading to performance challenges across state-owned refineries in Nigeria based on experts’ views. The study was carried out with a view of making policy recommendations to help address these issues and thereby improve performance. A quantitative approach was adopted to sample the viewpoints of the professionals who work across the NNPC refineries. Using a Likert-type questionnaire, the professionals’ expert opinions were ranked across four main categories covering political, economic, social, and technical (PEST) factors. A Cronbach alpha test was performed to certify the consistency and reliability of the sub-category factors included on the Likert scale. In addition, a multivariate analysis of variance (MANOVA) was carried out to check for any statistically significant differences in the respondents’ opinions as a result of their different years of work experience. The study revealed that while all four PEST factors are crucial to the performance of the state-owned refineries in Nigeria, political, economic, and technical factors were viewed as more significant than the social factors. A comparative analysis of the sub-category factors using the relative significance index (RSI) and the respondents’ mean scores of importance (RMSI) revealed that government interference, funding issues, political indecision, theft and pipeline attacks, cost of spare parts, maintenance issues, operating capital, feedstock supply, staff training and competence issues are some of the significant factors that affect the performance of the refineries. The identified performance challenges from this study were used to inform policy recommendations to help address the problems of the refineries. The supplementary data presented here show the results of the Likert-type questionnaire.


IHEUKWUMERE, O., MOORE, D. and OMOTAYO, T.A. 2021. A meta-analysis of multi-factors leading to performance challenges across Nigeria’s state-owned refineries. [Dataset]. Applied petrochemical research [online], 11(2), pages 183-197. Available from:

Acceptance Date Mar 16, 2021
Online Publication Date Mar 26, 2021
Publication Date Sep 30, 2021
Deposit Date Apr 6, 2021
Publicly Available Date Apr 6, 2021
Publisher Springer
Keywords Nigerian refineries; Performance challenges; Capacity utilisation; Policies; Relative significant index
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Publisher URL
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Type of Data XSLX and accompanying TXT file.
Collection Date Jun 30, 2019
Collection Method This study was designed to identify the significant factors that lead to the performance challenges across all the state-owned refineries in Nigeria. Using the findings from literature and other relevant documents, the identified factors were categorised across political, economic, social, and technical (PEST) issues. The factors were first used to develop a pilot questionnaire to obtain the professional opinions of 25 senior staff members of the NNPC Group. The findings led to an improvement of the questionnaire, which was later deployed across the NNPC refineries (PHRC I and II (PHRC), WRPC and KRPC). The questionnaire targeted at least 200 personnel with a minimum of 3-year experience. This was to ensure that the survey respondents have a good grasp of knowledge about the challenges of the refineries. It is important to note that PHRC I and II are treated as a single unit (PHRC) given that the facilities are co-located and are managed as a single company by NNPC. A five-point Likert-type questionnaire was designed to obtain the experts’ views of these professionals on which PEST factors have more significant impact on the performance of the refineries. Likert-type scale was used because they have been proven useful for evaluating interactive experiences of respondents to obtain quantified data regarding their attitudes, behaviours, and judgements. The questionnaire, which dealt on generic performance issues across the refineries, was deployed from 10 December 2018 to 30 June 2019 via an online platform using Google forms for ease of access. It was cascaded to members of the organisation using a purposive and snowballing sampling approach.