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The purpose of this study is to explore the mortgage affordability problem in Ghana, an issue that has been associated inter alia with high mortgage rates, which results from the high cost of capital, an unstable macroeconomy and unfavourable borrowers’ characteristics. Concurrent improvements in both the macroeconomy and borrowers’ characteristics have rendered the identification of the most problematic mortgage pricing determinant difficult, consequently making the targeting of policy interventions problematic.

This research sought to resolve this aforementioned difficulty by providing empirical evidence on the relative importance of mortgage pricing determinants. A data set of mortgage rates of selected Ghanaian banking financial institutions from 2003 to 2013 was examined and analysed by applying Fisher’s model of interest rates and an ex post analysis of the standard regression coefficients.

The risk premium factor emerged as the most important determinant in Ghana compared with the inflation premium and the real risk-free rate, although all are statistically significant and strongly correlated with mortgage rates.

This study provides an insight on the relative importance of mortgage pricing determinates and subsequent macro-economic guidance to support policy interventions which could reduce mortgage rates/enhance mortgage affordability. The paper specifically aims to engender wider debate and provide guidance to the Ghanaian Government and/or private enterprises that seek to provide affordable mortgages. Further research is proposed which could explore ways of reducing mortgage rates as a means of engendering social equality and adopt innovative international best practice that has already been tried and tested in countries such as South Africa and the USA.

This paper aims to evaluate the risk factors and determines the overall risk level (ORL) of public-private-partnership (PPP) power projects in Ghana using fuzzy synthetic evaluation methodology (FSEM).

In this paper review of literature led to the development of a 67-factor risk list which was ranked by experts and industry practitioners through a questionnaire survey.

These factors were grouped into principal risk factors (PRFs) using component analysis and they served as the input variables for fuzzy analysis. The seven components were: Contract and Payment risks, Environmental risks, Financial and Cost risks, Legal and Guarantee risks, Operation risks, Socio-Political and Performance risks (SPR) and Tender and Negotiation risks. Study showed that the ORL of Ghanaian PPP power projects is high implying they are risky to both the public and private sectors. Fuzzy analysis also confirmed SPR as the most critical principal factor.

This study is significant and demonstrates that fuzzy methodology can be used as a useful risk evaluation tool and risk assessment framework for private investors, policy makers and public sector.

Trade credit is treated as a financial intermediation device whereby construction vendors act as financial providers to their customers through deferred payments of goods purchased. The purpose of this paper is to investigate and report upon the key factors and motives influencing vendors' decision on trade credit provision to small to medium sized construction firms.

Adopting deductive methodological approach, this paper utilises a combination of primary data emanating from structured survey questionnaires supplemented by secondary source of data from an extensive literature review, to present insightful commentary about trade credit provision in Ghana. The structured survey questionnaire was administered to 100 construction vendor firms/suppliers to elicit relevant data about their trade credit intentions. Drawing upon the principles of a total design method (TDM) of survey, a relatively high response rate of 57 percent was achieved. Principal component (factor) analysis was adopted to obtain simplification of variables and to detect underlying dimensions and reveal potential complex structures within decision variables.

The underlying constructs and motives of vendors on trade credit were intricately interwoven in two principal factors: risk distribution and liquidity; and sustaining business relationship and liquidity. Despite the uncharacteristic manifestation of the liquidity measure being associated with the two principal components, the findings demonstrate the relative importance of liquidity in the trade credit debate. A critical observation stemming from the analysis was that trade policy was absent within the trade credit market in Ghana; this poses a potential threat to trade credit exchange and its development.

The paper's methodological approach is uniquely positioned between the conceptual and empirical interface and the overarching research is pioneering within the developing world nation of Ghana. The paper's findings will be useful to contractors, particularly, small and medium size contractors who are considering feasible finance options; and vendors who seek to consolidate their clientele base.

The demand for energy infrastructure projects has increased steadily over the last few decades and has come at a high cost. Disruptive technologies (DTs) have the inherent capability to affect the performance of energy infrastructure projects. Therefore, this research aims to explore the implications of DTs on the performance of energy infrastructure projects.

This research adopts a positivist philosophical position. A quantitative strategy and deductive approach (based on a survey design) guided this study. Sixty-six respondents participated in the study. The study’s population comprised of experts in energy infrastructure projects who possessed a high level of industrial experience including top- and middle-level management of power generation companies. Cochran’s formula was used to select a sufficient sample for the study. Linear regression, one sample test and Cronbach’s alpha were the analytical tools adopted.

This study established that there is an 18.4% increase in the performance of energy infrastructure projects in Ghana when DTs are applied. In order of importance, DTs improve speed of operations in energy projects; reduce operating cost and enhance efficiency of energy projects; drive sustainable economic development; enhance security in energy projects; and improve environmental sustainability of projects. The study also revealed that e-commerce technologies, renewable energy technologies, three-dimensional printing, bar code technology, photogrammetry, global positioning systems, geographic information systems and nanotechnologies were the topmost ranked DTs with the most impact on the performance of energy infrastructure projects.

This is a novel investigation on the implications of DTs on the performance of Ghanaian energy infrastructure projects. This study’s practical implication is evident in both policy and practice. Energy sector policymakers should endeavour to adopt DTs in their operations to enhance sustainability and performance.

This study aims to evaluate the key risk factors inherent in public–private partnership (PPP) power projects in Ghana and further determine the critical risk factors affecting both the public and private sectors in PPP power projects.

Ranking-type Delphi survey in two rounds was conducted to establish a comprehensive list of critical risk factors of PPP. Purposive and snowball sampling techniques helped obtain experts for the Delphi survey. Mean score ranking, factor analysis, Cronbach α coefficient and Kendall’s concordance were used for analysis. The probability of occurrence and severity of each risk factor were computed to obtain the risk impact.

From the list of 67 risks, 37 risk factors were deemed to be critical. The five topmost risk factors were: delay payment on contract, private investor change, political risks, fluctuating demand of power generated and public opposition. Principal component analysis grouped the risk factors into seven major themes.

This study develops an authoritative risk factor list for PPP power projects, which reflects both sector and country conditions for prioritizing and mitigating risk factors. Delphi approach adopted in this study can be used by future studies in similar environments where PPP is novel and expert respondents scarce.

Trade credit (TC) provides access to capital for construction contractors globally and is an important source of finance in both developed and developing countries. The purpose of this paper is to explore key factors underpinning construction suppliers’ decisions to provide TC to Ghanaian construction firms.

Primary data from a structured survey of 75 construction suppliers are analysed. Principal component (factor) analysis explores complex structures among suppliers’ decision-making variables.

Underlying constructs of decision criteria exist among seven key factors: financial profile of the contractor; parties’ profit margins; asset portfolio and project particulars; TC quantum and repayment terms; age and experience of the contractor; contractor corporate image; and parties’ cash flows.

This is a new decision criteria framework for suppliers and contractors, who utilise TC.

The prevalent practice of construction supply chain (CSC) in developing countries with a focus on Africa was presented in this chapter. Two African countries (South Africa and Ghana) were selected due to the extensive literature on the CSC emanating from the countries. The impediment to the effective management of the CSC in the two African countries was also examined in this chapter. It was discovered that the vital inhibition to the performance of CSC in developing countries is the adoption of culture from developed countries without a proper model for ensuring its implementation in developing countries. Also, no model has incorporated the principles and technologies of the fourth industrial revolution (4IR) to manage the CSC. The failure to adopt the 4IR technologies like block chain, big data and the internet of things has prevented the proper application of CSC practices in developing countries. CSC practices like collaboration, integration, lean supply chain, information sharing, financial management and communication are the primary practice in developing countries. Finally, this chapter called for the development of a model for managing the CSC in developing countries in alignment with the principles of the 4IR.

The emergence of housing microfinance (HMF) as a response to the low-income groups’ inability to access traditional housing finance is an innovative strategy by creative Microfinance Institutions. Yet, low-income groups’ still face barriers in accessing these innovative products, particularly in Ghana. This paper aims to examine the critical demand barriers and how to develop and improve the design and delivery of HMF interventions in the low-income housing market in Ghana.

The paper achieves its aim by adopting a focus-group discussion strategy to examine the constraints to the demand for HMF among low-income groups’ in Ghana.

Nine factors constrained the design, delivery and demand for HMF – affordability issues; risk; land tenure insecurity; high interest rate; collateralization and insurance challenges; unfavourable HMF loan conditions; lack of social capital; high cost of land and building materials; and ineffective consumer protection.

Although limited to low-income groups, strategies to stimulate demand for HMF should focus on three broad problems – affordability, macroeconomic management and institutional development and government intervention.

The paper makes significant contributions to the body of knowledge, regarding understanding the low-income housing market and its financing in the context of a developing country.

The novelty of the paper is founded on the premise of the research methodology adopted to unearthed the barriers to the demand of HMF in Ghana. Future research effort should be directed at exploring the motivations behind low-income groups’ decision to demand HMF and the risk associated with the use of HMF in the context of Ghana.

Failure to resolve Ghana's infrastructure deficit, coupled with inability of traditional financing methods to meet current infrastructure demand, have triggered recent studies to explore strategic issues underpinning innovative financing (IF) of infrastructure. The purpose of this study is to explore potential impediments inherent in IF tools available to Ghana.

The empirical aspect of the investigation used structured interviews and a survey questionnaire to gather data from project implementation agencies with experience of infrastructure IF. Factor analysis (principal component analysis) established which variables measured aspects of the same underlying dimensions.

A total of three key challenges were identified, and explained in terms of: investment capacity; implementation and revenue mobilization. Findings provide an early failure signal when implementing IF.

Conclusions and recommendations are of benefit to various international development partners and governmental and non‐governmental organizations that develop and/or implement infrastructure projects. Further research will seek to explore strategic, innovative solutions to on‐going challenges.

Knowledge of the critical challenges facing implementation of IF remain scant and incomplete.

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.