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Despite the huge financial resources associated with oil, Nigeria has consistently recorded poor growth performance. Therefore, this study aims to examine how corruption and oil rent influence Nigeria’s economic performance during the 1996–2021 period.

Various estimation techniques were used. These include the bootstrap autoregressive distributed lag (ARDL) bounds-testing, dynamic ordinary least squares (DOLS), the fully modified OLS (FMOLS) and the canonical cointegration regression (CCR) estimators and the Toda–Yamamoto causality.

The bounds testing results provide evidence of a cointegrating relationship between the variables. In addition, the results of the ARDL, DOLS, CCR and FMOLS estimators demonstrate that oil rent and corruption have a significant positive impact on growth. Further, the results indicate that human capital and financial development enhance economic growth, whereas domestic investment and unemployment rates slow down long-term growth. Additionally, the causality test results illustrate the presence of a one-way causality from oil rent to economic growth and a bi-directional causal relationship between corruption and economic growth.

Existing studies focused on the effects of either oil rent or corruption on growth in Nigeria. Little attention has been paid to the exploration of how the rent from oil and the pervasiveness of corruption contribute to the performance of the Nigerian economy. Based on the outcome of this study, strategies and policies geared towards reducing oil dependence and the pervasiveness of corruption, enhancing human capital and financial development and reducing unemployment are recommended.

This study delves into the factors that influence the practice of female genital mutilation in West Africa, as well as the health implications. An online cross-sectional study was conducted with the use of electronic questionnaire. The study was targeted at adult females who were between the age of 18 and 50 years old. The Uniform Resource Locator (URL) of the electronic questionnaire was administered on social media platforms (Facebook and WhatsApp) only through convenience and snowball sampling techniques. A sample size of 3,119 adult females participated in the study. Spearman rank correlation (r) was employed to test the hypotheses. Responses were gathered from adult females whom originates from nine West African countries which are Nigeria, Ghana, Mali, Liberia, Benin, Cameroon, Chad, Gambia and Guinea. The study found a strong and positive relationship between culture and the practice of female genital mutilation in West Africa, and there was a weak and positive relationship between religion and education, and the practice of female genital mutilation in West Africa. Despite the health risks, it was revealed that female genital mutilation remained uninterrupted in West Africa. The findings of this study imply that the culture of the people, religious belief system and education are critical factors in efforts to be considered when discouraging the practice of female genital mutilation. Therefore, for healthy living, the practice of female genital mutilation should be discouraged in the study area. Based on the study outcome, recommendations were suggested.

Despite the huge capital outlay in tertiary education building projects (TEBP), these projects undoubtedly failed in meeting the set objectives of cost, time and quality, among others. Therefore, rather than the impacts of risks on the overall project performance, which is common in the construction management literature, the purpose of this study is to assess the impacts of risk factors on the criteria for measuring the success of public TEBP.

The paper adopted a quantitative research method where the data collection was via a questionnaire survey. The researcher administered 452 questionnaires to the client representatives, consultants and contractors involved in building projects across five public tertiary education institutions in Ondo State, Nigeria. Of 452 questionnaires, 279 were retrieved and suitable for the analysis, translating to a 61.73% response rate. The reliability analysis of the research instrument showed 0.965 and 0.807, via Cronbach’s alpha test, indicating high reliability of the instrument used for data collection.

The study found different risk factors affecting the criteria for measuring the success of TEBP. For instance, the environmental risk factor significantly impacted completion to cost, while financial and political risk factors significantly impacted completion to time. In addition, while environmental, legal and management risks significantly impacted end-user satisfaction, safety performance was significantly impacted by logistic, legal, design, construction, political and management risks. Besides, the logistic, legal, design, construction, financial, political and management risk factors impacted profit. However, despite profit being one of the criteria for measuring the success of building projects, it recorded the highest risk impacts amounting to 41% variance.

The findings are limited to the public tertiary education building projects procured via competitive tendering; therefore, the results might differ when considering other procurement methods.

The practical implication is that rather than focusing on all risk factors, the project stakeholders could give adequate attention to the significant risk factors impacting each of the parameters for measuring the success of education building projects.

The study revealed specific risk factors impacting the criteria for measuring the success of TEBP, which extend beyond the use of the overall project performance approach.

This study aims to investigate clients' attributes, their key decision variables and causal relationships between the decision variables. In addition, the purpose of the study is to map-out from these analyses, the attributes of project clients that motivate contractors' bid decision.

A total of 50 responses were obtained from a questionnaire survey. 50% of participants are contractors. 44% are claims consultants, whilst 6% are manufacturers and clients. Beyond measures of central tendencies, analysis focussed on causal relationships by way of correlation, analysis of variance and reductionism.

All 20 factors considered have significant correlations with at least one other factor. Findings also show the factors can be clustered into six: reputation, financial strength, relationship with the bidder, organisational attributes, history with project attributes and project organisation.

Evidence suggests stakeholders have often struggled to consider the many decision factors reported in normative literature, numbering hundreds. By clustering the factors into sub-themes, bid decisioning has been made more efficient. The study also explains how client attributes could determine project success and contractor participation. Different stakeholders can use findings of this study for training and further studies.

Previous studies have considered bid decisioning indexically – factors were long, analyses were largely inconclusive, and causal relationships are orthogonal. Findings in this study have shown depth: 20 originating client-specific factors were clustered into six sub-themes, and correlations were established. The methodology used for the study is confirmatory and conclusive.

Public-private partnership (PPP) power projects are associated with varying risk factors. This paper aims to develop a fuzzy quantitative risk allocation model (QRAM) to guide decision-making on risk allocation in PPP power projects in Ghana.

A total of 67 risk factors and 9 risk allocation criteria were established from literature and ranked in a two-round Delphi survey using questionnaires. The fuzzy synthetic evaluation method was used in developing the risk allocation model.

The model’s output variable is the risk allocation proportions between the public body and private body based on their capability to manage the risk factors. Out of the 37 critical risk factors, the public sector was allocated 12 risk factors with proportions = 50%, while the private sector was allocated 25 risk factors with proportions = 50%.

To the best of the authors’ knowledge, this research presents the first attempt in Ghana at endeavouring to develop a QRAM for PPP power projects. There is confidence in the model to efficiently allocate risks emanating from PPP power projects.