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Globally, waste management has been a topical issue in the past few decades due to the continual increase in municipal solid waste (MSW) generation that is becoming difficult to handle with conventional waste management techniques. The situation is much more pronounced in economically developing countries where population growth rate and urbanisation are becoming uncontrollable. The purpose of this study was to assess the potential for waste to energy generation in the Kumasi metropolis, the second-largest city in Ghana.

To address the objectives of the study, a quantitative research approach, namely, the questionnaire was adopted. The data analysis was done using the statistical package for social sciences version 25, including both descriptive and inferential statistics to give an in-depth meaning to the responses from the participants.

The results showed that several factors hinder waste to energy technology in Ghana; key among them was high capital cost, high operational cost and lack of governmental support and policy framework. The results also revealed that 1 m³ of biogas generated from MSW in Kumasi could generate 36 MJ of energy, equivalent to 10 kW/h.

The unique contribution made by the paper is that it combines expert opinions, empirical data that included time series data and opinion of key actors in the waste management chain in assessing the potential for waste to energy generation in the Kumasi metropolis of Ghana.

Conditions of inadequate and asymmetric information when an agent is hired by a principal have resulted in the problems of moral hazard and adverse selection (MHAS) in public–private partnership (PPP) construction projects. The purpose of this study is to explore strategies to reduce MHAS in PPP construction projects.

Questionnaires were used to elicit responses from respondents. Mean score ranking was used to rank these strategies while reliability analysis was conducted using Cronbach’s alpha coefficient and level of agreement tested using Kendall’s concordance. Factor analysis grouped the strategies into eight components.

From the mean score ranking, monitoring; transfer of risks; screening; managing of construction risks; and increased incentives to control costs were the most significant strategies. The eight components were transparent process and contract, incentives and monitoring, screening and technical assistance, unbundling and benchmarking, funding and small liabilities, information clarification and signaling, risk and contract management and cooperation and finance factors.

The findings of this study have identified the most significant strategies to reduce MHAS on PPP construction projects to serve as a guide to PPP practitioners in reducing MHAS.

The output of this research contributes to the checklist of strategies that reduce PPP project failures arising from MHAS and contributes to the development of the agency theory.

Kumasi Metropolis, the second-largest city in Ghana is known to be bewildered with challenges relating to waste management. As a means of solving the waste management challenge, several suggestions are often made for the establishment of a waste-to-energy plant to manage the disposal of waste and generation of income. There have been no studies conducted to determine how economically viable such plants will be. This study aims to examine the economic viability of waste-to-energy generation in the Kumasi Metropolis to find out how economically viable such an approach will be.

To achieve this, a simple debt-equity ratio business model based on discounted cash flow technique was applied to estimate the internal rate of returns (IRR) as a measure of the economic viability and profitability of a modelled 50 MWH waste-energy generation plant in the Kumasi Metropolis. The analysis was performed using the RetScreen Expert Software.

The results show that the IRR and benefits cost ratio of the facility were 36% and 5.8%, respectively, indicating high levels of profitability and economic viability. The study concludes that waste-to-energy generation will be an economically viable venture in the Kumasi Metropolis.

It is, however, important for users of the findings of this study to take caution of the fact that the various assumptions although based on current knowledge and expert opinion may vary with time; therefore, the sensitive analysis on price and costs should always be considered. Practically, this study will contribute to solving the waste management situation in most cities, as well as generating revenue and helping close the energy deficit most developing countries are grabbling with.

The unique contribution of the study to knowledge is that it has professed an alternative analytical and methodological approach to measuring the financial viability of waste-to-energy plants in situations where there is none in the geographical jurisdiction of the proposed project.

This paper aims to assess the impact of infrastructure development on Ghana’s economic growth.

Using data obtained from the World Bank’s World Development Indicators, the United States’ (US) International Energy Statistics and the Central Intelligence Agency’s (CIA) Factbooks from 1980 to 2016, an autoregressive distributed lag (ARDL) framework is used to determine the long- and short-run impact of the selected infrastructure stock and quality indices on Ghana’s economic growth.

Findings indicate a statistically significant relationship between infrastructure development and economic growth. Additionally, electricity-generating capacity is identified as the infrastructure stock index that has the greatest positive impact on Ghana’s economic growth. The study reveals that electricity-distribution loss has a significant negative effect over both long- and short-run periods.

Commercial petroleum export from Ghana since 2010 has been a key contributor to economic growth. Although its aggregate effect is included in the annual GDP figures adopted for the study, the authors would have wished to assess its impact on GDP as an independent standard growth determinant. However, because of a lack of available data over this study period, petroleum exports could not be adopted as an independent standard growth determinant. Additionally, an aggregated index of infrastructure stock and quality could not be derived because of the small size of data available. Hence, this study did not assess its impact on Ghana’s economic growth.

The research provides pragmatic guidance to policymakers to focus their efforts on expanding electricity-generating capacity while simultaneously taking steps to curb electricity transmission and distribution losses. These two related actions offer the greatest positive impact on infrastructure development and, as a consequence, Ghana’s economic growth.

This paper represents the first attempt to empirically study the relationship between infrastructure development and Ghana’s economic growth. A key contribution to the existing body of knowledge includes strong evidence of a positive effect of infrastructure development upon Ghana’s economic growth. Results also reveal that the greatest positive impact on economic growth is derived from electricity-generation capacity. However, the study also uncovers a negative, but statistically significant, relationship between road and economic growth.

Even though many studies have attempted to understand the drivers of carbon dioxide emission and energy consumption to help tackle environmental issues, not much has been done to estimate the effect of natural resources extraction on these two variables. This paper aims to analyze the long-run and short-run carbon dioxide emission and energy consumption effect of natural resources extraction in Ghana.

The theoretical foundation for this study is the Stochastic Impacts Regression on Population, Affluence and Technology (STIRPAT) model. Secondary Data sourced from World Development Indicators (2018) for the period of 1971-2013 were used. Estimation was done by using the autoregressive distributed lag.

It was found among other things that urbanization, and extraction of natural resources contribute to Ghana’s carbon dioxide emission, while official development assistance helps in reducing carbon dioxide emission in the long run. Again, while income and extraction of natural resources increase energy consumption, urbanization and official development assistance reduce environmental degradation in the long run. Regarding the short run, income and urbanization both increase energy consumption and carbon dioxide emission; trade openness and official development assistance decrease both carbon dioxide emission and energy consumption.

The implications from the results include the need to strictly enforce laws regulating extractive activities in the country to ensure a safe environment; and also to raise tariff and non-tariff barriers on products that do not promote a friendly environment and vice versa.

The effect of natural resources extraction on carbon emission and energy consumption is examined.

Recent reports based on the sustainable development goals (SDGs) have revealed that no country is in line with achieving the targets of the 2030 Agenda for sustainable development, with the slowest progress being witnessed mainly on goals that are focused on the environment. This study examines environmental performance indicators for assessing the sustainability of building projects.

The study uses an explanatory sequential design with an initial quantitative instrument phase, followed by a qualitative data collection phase. An extensive critical comparative review of the literature resulted in the identification of ten environmental sustainability indicators. One hundred and sixty-seven questionnaire responses based upon these indicators from the Ghanaian construction industry were received. Data were coded with SPSS v22, analysed descriptively, and via inferential analysis. These data were then validated through semi-structured interviews with six interviewees who are fellows of their respective professional bodies, a senior academic (professor in construction project delivery) and a government official. Data obtained from the semi-structured validation interviews were analysed through the side-by-side comparison of the qualitative data with the quantitative data.

The findings from the study suggest that all the indicators were important in assessing building projects' environmental sustainability across the entire life cycle. Key among the identified indicators is the effects of the project on “water quality, air quality, energy use and conservation, and environmental compliance and management”. The interviewees further agreed to and confirmed the importance of these identified indicators for assessing the environmental sustainability of building projects in Ghana.

Compared to existing studies, this study adopts the exploratory sequential design to identify and examine the critical indicators in assessing the environmental sustainability across the entire lifecycle of building projects in a typical developing country setting, i.e. Ghana. It reveals areas of prime concern in the drive to place the local construction industry on a trajectory towards achieving environmental sustainability.

In today’s highly competitive milieu, many organizations are entering into the international market to gain greater share and take advantage of higher production. However, the introduction of advanced technology has brought a significant amount of competition within the supply chain especially within the bounds of the power distribution sector. This study aims to examine how information and knowledge sharing influence supply chain performance in the power distribution sector.

The quantitative method and cross-sectional survey design were used in the study. A sample of 200 officers specifically selected from power distribution companies was used for the study. Data was analysed using descriptive, correlation, regression and structural equation models.

The relationship between information sharing, knowledge sharing and performance of the supply chain are positively mediated by supply chain collaboration. The findings indicate that technological innovation positively moderates the relationship between information sharing, knowledge sharing and supply chain performance.

Information sharing, knowledge sharing and technological innovation are critical indicators driving the supply chain operation of power distribution organizations.

This study presents a contemporary approach towards understanding knowledge and information sharing as antecedents of supply chain performance.

This paper presents a developed spatial-temporal analysis framework for the case of investigating the business performance of construction consultancy services (CCS) in China.

The spatial-temporal analysis is based on the data envelopment analysis (DEA) technique. The spatial analysis follows the DEA results under a contemporaneous benchmark technology and a virtual decision-making unit, consisting of ranking analysis, cluster analysis and variation analysis. The temporal analysis is reliant on the DEA results under a global benchmark technology and the time value of money, including trend analysis and driving force analysis containing pure technical and scale efficiency factors.

Three CCS types in China are investigated, including engineering survey and design, construction supervision and procurement agency. The performance rank order and cluster classifications are mainly related to economic development levels. Engineering survey and design demonstrates the best performance and higher imbalances; however, construction supervision and procurement agency illustrate lower performance and imbalances. Scale efficiency significantly promotes business performance, whereas pure technical efficiency plays an inconspicuous role.

The CCS promote technical efficiency by developing their service and innovation levels. The service of engineering survey and design registered in Beijing, Shanghai and Guangdong is recommended for entering the service market in China.

The spatial-temporal analysis framework was developed, which is generic and provides a pathway to measure, compare and assess performance comprehensively. The CCS business performance is firstly measured.

Even though emotional intelligence (EI) is reported to have many benefits, yet it remains mainly unexplored in the construction industry. This paper aims to present a critical review of EI research in the construction industry.

Search of literature was conducted by using Scopus engine. Relevant keywords were used to discover 146 publications. The titles, abstracts, keywords and full texts of the publications were examined to finally select 48 publications that were relevant. Scientometric analysis was undertaken with the aid of VOSViewer. Content analysis systematically reviewed the key themes.

The five topmost countries conducting research into EI in the construction industry are UK, Australia and the USA. The most influential authors in construction EI research are Goleman, D., Salovey, P. and Mayer, J.D. The significant impact of EI on leadership in the construction industry were that EI boosted transformational leadership style and EI influenced use of management-by-exception active style by construction leaders. Furthermore, EI leads to resilience against stress and EI enhances stress tolerance were the significant roles of EI on stress management.

A limitation is in the number of publications reviewed. In spite of the critical review, the number of publications reviewed may not be exhaustive.

This research enhances knowledge and stimulates a deeper comprehension of EI research and also provides recommendations for further studies based on identified research gaps.

As a pioneering study that combines scientometrics and systematic review for EI research, this study enhances knowledge on EI in the construction industry.

The purpose of this article is to determine safety culture indicators that can improve the health and safety performance of small and medium-sized enterprise (SME) contractors in Ghana.

A three-round Delphi method was used. The first round consisted of 31 experts out of which 18 of them rated their agreements with a set of 87 potential safety culture indicators using a 10-point Likert scale of importance (1 = important and 10 = very important) and the 16 experts who completed the final round were given the opportunity to suggest other indicators. The 87 indicators were categorised into 14 core health and safety elements. Indicators that attained a group median value of 5–10 for 50% or more expert ratings were accepted.

At the end of the third round, a consensus was reached on the indicators when they attracted median scores of 5–10 for at least 50% or more of the health and safety experts rated the indicators between 5 and 10. Out of a total of 87 indicators at the start of the Delphi process, the consensus was reached on 70 that were retained.

The health and safety experts were not given the opportunity to add new indicators to the structured questionnaire until the third round.

This is the first study, to the best of the authors’ knowledge, to have a consensus by health and safety experts on leading indicator metrics of positive culture of construction safety in Ghana for improved SME construction company’s health and safety performance in Ghana. If these indicators are adopted and used effectively in Ghana, they would ensure positive culture of construction safety and subsequently help to protect construction workers.