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With heterogeneous findings dominating the growth and natural resources relations, there is a need to explain the variances in Africa's growth process as induced by robust measures of factor endowments. This study used a comprehensive set of data from the updated database of the World Bank to capture the heterogeneous dimensions of natural resource endowments on growth with a particular focus on establishing complementary evidence on the resource curse hypothesis in energy and environmental economics literature in Africa. These comprehensive data on oil rent, coal rent and forest rent could provide new and insightful evidence on obscure relations on the subject matter.

This paper considers the panel vector error correction model (PVECM) procedure to explain changes in economic growth outcomes as induced by oil rent, coal rent and forest rent. The consideration of the PVECM was premised on the panel unit root process that returns series that were cointegrated at the first-order differentials.

The paper found positive relations between oil rent, coal rent and economic development in Africa. Forest rent, on the other hand, is inversely related to economic growth in Africa. Trade and human capital are positively related to economic growth in Africa, while population growth is negatively associated with economic growth in Africa.

Short-run policies should be tailored towards the stability of fiscal expenditure such that the objective of fiscal policy, which is to maintain the condition of full employment and economic stability and stabilise the rate of growth, can be optimised and sustained. By this, the resource curse will be averted and productive capacity will increase, leading to sustainable growth and development in Africa, where conditions for growth and development remain inadequately met.

The originality of this paper can be viewed from the strength of its arguments and methods adopted to address the questions raised in this paper. This study further illuminated age-long obscure relations in the literature of natural resource endowment and economic growth by taking a disaggregated approach to the component-by-component analysis of natural resources factors (the oil rent, coal rent and forest rent) and their corresponding influence on economic growth in Africa. This pattern remains underexplored mainly in previous literature on the subject. Many African countries are blessed with an abundance of these different natural resources in varying proportions. The misuse and mismanagement of these resources along various dimensions have been the core of the inclination towards the resource curse hypothesis in Africa. Knowing how growth conditions respond to changes in the depth of forest resources, oil resources and coal resources could be useful pointers in Africa's overall energy use and management. This study contributed to the literature on natural resource-induced growth dynamics by offering a generalisable conclusion as to why natural resource-abundance economies are prone to poor economic performance. This study further asks if mineral deposits are a source or reflection of ill growth and underdevelopment in African countries.

This study examined the prevalence and relationship between addictive use of smartphones and symptoms of depression and anxiety among female undergraduates.

Standardized scales were used to measure the addictive use of smartphones, depression and anxiety among 398 female students (mean age 21.75 years, SD = 2.67) at two large higher institutions in southwest Nigeria and were opportunely sampled. Two hypotheses were tested using Spearman's rho and Mann–Whitney U tests.

The results showed that 1.01% of the respondents were probable smartphone addicts and 17.34% were at-risk, while 14.32% and 16.33% manifested symptoms of anxiety and moderate-to-severe depression, respectively. Depression (r = 0.24, p < 0.01) and anxiety (r = 0.21, p < 0.01) have significant relationship with addictive use of smartphone. Addictive/at-risk smartphone users significantly scored higher on symptoms of depression (average rank of 233.40) than normal smartphone users (average rank of 191.88); U = 9387.50; z = −2.81, p < 0.05; Also, addictive/at-risk smartphone users reported significantly higher level of anxiety (average rank of 229.27) than normal smartphone users (average rank of 192.81); U = 9689.00; z = −2.46, p < 0.05.

Generalizing these results to a clinical setting and other at-risk demographic groups might prove difficult due to the respondents' condition of homogeneity.

The findings suggest that relationships exist between the addictive use of smartphones and symptoms of depression and anxiety among undergraduate students in southwest Nigeria. Clinicians should assess smartphone use in the management of depression and anxiety disorders.

University administrators should target prevention and intervention strategies that would assist students to be taught positive ways of using their smartphones.

The study contributes to the body of knowledge by revealing relationships between smartphone addiction and mental health in an African sample.

The purpose of this paper is to examine what factors affect entrepreneurs with minority background to access public financial institutions’ funds in initiating and developing their new ventures. Following the signal theory, social capital theory and the liability of newness perspective, the effect of demographic characteristics of entrepreneurs were investigated and the differences between ethnic minority and non-minority entrepreneurs’ access to financial institutions’ funds were compared.

This paper draws on the data of 2,119 high technology and non-high technology firms from the Kauffman foundation survey. The empirical analysis was focussed on the characteristics of entrepreneurs of these new ventures and the nature of the financial arrangements of these businesses to test the theoretical framework.

This study provides empirical evidence that ethnic minority entrepreneurs are less likely to access loans from financial institutions than non-minority entrepreneurs. Moreover, the education level of ethnic minority entrepreneurs was identified as a key factor to help them to access financial institutions’ funds.

The main limitation is that the data did not allow us to explore the actual reasons for observed correlations between entrepreneurs’ ethnic background, demographic characteristics and their use of financial institutions’ funds.

Since the constraints in the access to financial resources greatly impact the success of new ventures, this study indicates through what factors minority entrepreneurs can increase their credence to get more financial support. In addition, it is also helpful for the loan managers of financial institutions to make rational decisions when they assess the application of minority entrepreneurs.

This study enriches the understanding of minority entrepreneurs in the entrepreneurship literature. First, it aggregates major minorities in the USA and strives to identify systematically different financing behaviors of these minority entrepreneurs; second, it provides empirical investigation on the correlation of ethnic minority background and access to funds from financial institutions and the moderating effect of a set of demographic factors.

Although studies have shown the relevance of building information modeling (BIM) in cost estimating process, efforts at investigating BIM based detailed cost estimating among professional quantity surveyors through quantitative approach are scanty. The purpose of this study is to identify and examine the usage of BIM-based detailed cost estimating software and assesses the drivers to BIM adoption within the Nigerian quantity surveying consulting firms.

A comprehensive literature review, pilot study and questionnaire survey were adopted. The survey targeted both the BIM users and non- BIM users’ quantity surveying consulting firms in Lagos, Nigeria. The data collected were analyzed using frequency, percentage, mean score, standard deviation, Mann–Whitney test and factor analysis.

The study found that 46.58 per cent of quantity surveying consulting firms are aware of BIM and have adopted it for detailed cost estimating, while 49.32 per cent of quantity surveying consulting firms are aware but have not adopted BIM-based detailed cost estimating, and 4.10 per cent of quantity surveying consulting firms are not aware at all. Also, the study identified various BIM-based detailed cost estimating software used in quantity surveying practices and found that Microsoft Excel is often used alongside 3D software, Autodesk QTO, Navisworks, Innovaya Composer and CostX are prevalent BIM software used for detailed cost estimating. In addition, the study identified 21 drivers to the adoption of BIM in quantity surveying practices. The result of factor analysis grouped the 21 identified drivers into five principal factors: improved whole lifecycle/design quality, enhanced decision and visualization, cost and time saving, marketing and support for quantity surveyor tasks and government and client pressure.

This study provides significant insight into the application of BIM to quantity surveying consulting practices, thereby enabling consultant quantity surveyors to make informed decisions to select BIM cost estimating software to suit their practices. Further, the study findings can be useful for individuals’, clients’ and contractors’ quantity surveyors to be fully aware of the opportunities BIM could bring in relation to their service delivery.

Accurate cost estimating, effective cost monitoring and control are essential elements to a construction project success. This study further emphasized the importance of BIM to quantity surveying practices, particularly in the area of the detailed cost estimating.

This paper aims to investigate the moderating effect of political instability and regulatory obstacles on the relationship between corruption and export intensity in the context of Tunisian small- and medium-sized enterprises (SMEs).

This study uses data from the World Bank Enterprise Survey (WBES). The sample consists of 537 Tunisian SMEs. The partial least squares method was used to analyse the data.

The direct effect of corruption on export intensity was found to be non-significant. It was significantly negative when corruption was combined with regulatory obstacles, whereas it was positive when corruption coexisted with political instability. Additional analyses revealed that results were sensitive to firm size (small versus medium) and sector of activity (service versus manufacturing).

This paper has some limitations related to the use of secondary data. Enhanced variable measurements and more detailed data collection are recommended for future studies.

This paper is useful to researchers and policymakers who are interested in understanding the effects of a poor institutional environment on SME exports in developing countries.

This paper considers the impact of corruption on the export intensity of SMEs in the presence of political instability and regulatory obstacles in Tunisia. To the best of the authors’ knowledge, the joint effect of these institutional variables on the exports of firms has not been examined in previous research.