JOURNAL ARTICLEAmos Agbojo · Ganiyu Quadri · Wilfred Ukpere
International Journal of Business Ecosystem & Strategy · 2025
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The doctoral programme is an educational programme put in place to earn the degree of Doctor of Philosophy (Ph.D). A criterion for assessing the successful administration of doctoral degrees in universities is the timely completion of the programme. Research indicates that several Ph.D. candidates at Nigerian universities fail to finish their programmes within the anticipated five-year timeframe. This research examined the determinants of efficient administration of PhD programmes in universities in southern Nigeria. A sample of 528 respondents (PhD students, supervisors and coordinators) was drawn from the University of Ibadan 305, Olabisi Onabanjo University 38, Ekiti State University 50 and the University of Lagos 135. Two questionnaires titled “Effective Management of Doctoral Programme Questionnaire” (EMDPQ r=0.83) and “Predictors of Effective Management of Ph.D Questionnaire” (PEMPQ r=0.82) were used to collect data. Multiple regression analysis was used to test two null hypotheses at the significance level of 0.05. The research found that the successful administration of PhD programs in institutions in southwest Nigeria was significantly influenced by student, supervisory, and institutional variables (F(3;461) =25.973, Adj. R2=0.13), accounting for 13% of its variance. It was also shown that institutional (? = 0.277, t = 2.892, p < 0.05) and student-related (? = 0.275, t = 2.425, p < 0.05) factors are more powerful predictors of effective management of doctoral programmes than supervisory variables. The findings indicated that to improve the effective management of doctoral programmes in universities in southwest Nigeria, stakeholders should prioritise collaboration on student, supervisory, and institutional factors.
DOI 10.36096/ijbes.v7i4.9110 Crossref citations0 OpenAlex citations
JOURNAL ARTICLEDennis Anayo Azi · Joseph Osaro Denwi
Bussecon Review of Social Sciences · 2025
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There has been increasing studies that details the transmission channels through which financial development permeates to speed up growth to higher echelon. Studies have underpinned that financial development yield more growth when these channels are optimized. With studies on real sector performance sparse, this paper contributes to this discussion as it examined the effect of financial development in fostering industrial growth under the condition of high and low human capital endowment. This was investigated for a sample of five (5) West African Monetary Zone (WAMZ) countries from 1990 to 2022. The study developed a panel threshold regression (PTR) model where human capital functioned as threshold variable and data collected from the United Nations Conference on Trade and Development (UNCTAD), World Development Indicator (WDI) and International Monetary Fund (IMF) databases. The study finds a threshold effect of financial development on industrial sector growth. The PTR estimator shows financial development can produce more industrial growth if human capital exceeds a gross of 62.9493%. Additionally, other factors such as trade openness, natural resource rents and higher labour participation in economic activities support industrial sector growth. In the design of industrial growth enhancing policies, policy mandarins should implement measures that improve human capital and further develop the financial system by scaling up education expenditure to the UNESCO prescribed 26% of GDP, educating women, leveraging technology to improve human capital productivity and outcomes, reducing loan collateral requirements, strengthening legal frameworks, and boosting banking competition by allowing entrant of capitalized financial institutions and timely exist of insolvent ones.
DOI 10.36096/brss.v7i1.7431 Crossref citations1 OpenAlex citations
JOURNAL ARTICLEVictor Akidi · Nenubari John Ikue
Bussecon Review of Social Sciences · 2025
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Food prices in Nigeria have experienced significant increases due to rising fuel costs, unstable exchange rates, and socio-political challenges. This study examines the effects of fuel prices and exchange rate changes on food inflation using a Structural Vector Autoregressive (SVAR) model, which provides insights into both immediate and long-term impacts. Monthly data from June 2015 to May 2024 shows a stable long-term relationship between food inflation, energy prices, and exchange rates, making it clear that these factors are key drivers of inflationary trends in Nigeria. Our findings reveal that increases in fuel prices, particularly for petrol and diesel, drive up the cost of food production and transportation, with noticeable impacts appearing within three to six months. Similarly, shifts in exchange rates raise the cost of imported foods, with effects becoming evident in about two to ten months. Recent economic reforms, such as the fuel subsidy removal in 2023, have intensified inflationary pressures, exposing structural weaknesses in Nigeria’s food supply chain, including poor infrastructure and insecurity. The study recommended a direct approach to tackle food inflation, we recommend the creation of a Food Price Stabilization Fund (FPSF), which would help manage extreme price volatility caused by energy price fluctuations and exchange rate changes among others.
DOI 10.36096/brss.v6i4.6951 Crossref citations1 OpenAlex citations