Many macroeconomic variables undergo business cycle episodes (fluctuations), which makes the variables change dramatically. Hence, the causality between these variables could be hidden by the presence of structural breaks, regime change, reforms, or crises in general. Therefore, fitting a linear model may not capture the entire characteristics of the data. To this end, the study employs the Markov-switching Vector Autoregressive (MS-VAR) model, which allows for time-dependent regime shift to reexamine the energy-growth nexus in Ghana from 1971-2020.

Access to clean energy is necessary for environmental cleanliness and poverty reduction. That notwithstanding, many in developing countries especially those in sub-Saharan Africa region lack clean energy for their routine domestic activities. This study sought to unravel the factors that influence clean energy accessibility in sub-Saharan Africa region.

The crucial role of electricity in prosecuting the development agenda of economies is widely known. Yet some key variables are lacking in the assessment of electricity demand determinants. One such variable is power crises. This study re-visits the discussion by investigating the role of power crises on electricity demand. We employ data from 1980 to 2018 to examine how power crises in general and in particular the 2012–2015 severe power crisis in Ghana impacts electricity consumption.

AbstractPoverty and energy poverty are parts of the Sustainable Development Goals (SDGs). The former has been extensively covered in the literature, whereas the latter has not been given the necessary attention until the last decade. In this paper, we use multidimensional measures of energy poverty and poverty to ascertain whether energy‐poor households are also poor, and vice versa. In addition, the study seeks to examine the factors responsible for poverty and energy poverty.

Despite the numerous benefits of using energy efficient technologies (EETs), their adoption has been low and quite lethargic, particularly in countries within the sub-Saharan Africa (SSA) region. Behavioral factors are among the list of factors that have been identified to explain the slow adoption of EETs, particularly in SSA countries.

PurposeThe quest for economic development has brought adverse effects on the environment through the release of greenhouse gases, such as carbon dioxide (CO2). This will counter the efforts to achieve the Sustainable Development Goals (SDGs) by 2030. This study, therefore, investigates the effect of electricity consumption and urbanization on CO2 emissions in Ghana.

Emerging countries including Ghana have witnessed significant growth in their industrialisation and urbanisation. Getting an understanding of their effects on carbon emissions has gained the attention of researchers in recent times. However, the extant studies lack analysis of the moderating role of an electricity crisis on the carbon emission effect of urbanisation and industrialisation. This study assesses the environmental effect of industrialisation and urbanisation in Ghana by analysing how the electricity crisis interacts with the two to affect carbon emissions.