South Africa is been faced with erratic power supply, resulting in persistent load shedding due to ageing in most of its coal-fired power plants. Associated with generating electricity from fossil fuel are environmental consequences such as greenhouse emissions and climate change. On the other hand, the country is endowed with abundant renewable energy resources that can potentially ameliorate its energy needs. This article explores the viability of renewable energy using the strengths, weaknesses, opportunities and threats (SWOT) analysis approach on the key renewable potential in the country. The result indicates that geographic position, political and economic stability and policy implementation are some of the strengths. However, Government bureaucratic processes, level of awareness and high investment cost are some of the weaknesses. Several opportunities favour switching to renewable energy, and these include regional integration, global awareness on climate change and the continuous electricity demand. Some threats hindering the renewable energy sector in the country include land ownership, corruption and erratic climatic conditions. Some policy implications are suggested based on the findings of the study.

Ecosystems are in danger due to human-caused air, water, and soil pollution, so it is important to find the underlying causes of this issue and develop practical solutions. This study adds to environmental research gap by suggesting the load capability factor (LCF) and using it to look at the factors affectting environmental health. The load capacity factor simplifies monitoring environmental health by illustrating the distinction between ecological footprint and biocapacity. We examine the interplay between mobile phone users (Digitalization DIG), technological advancements (TEC), renewable energy use, economic growth, and financial development. This study assesses G8 economies’ data from 1990 to 2018, using a Cross-Section Improved Autoregressive Distributed Lag CS-ARDL estimator and a cointegration test. The data shows that green energy, TEC innovation, and DIG are all beneficial for natural health. Based on the results of this study, the G8 governments should focus on environmental policies that promote economic growth, increase the use of renewable energy sources, guide technological progress in key areas, and encourage the development of digital information and communications technologies that are better for the environment.

Globalization as well as the ratio of ageing people in the group of 11 (G-11) countries has seen a rapid increase in recent years. Therefore, this study aims to provide effective policy recommendations for sustainable development goals 13, 8, and 7, for the G-11 countries. This work estimates the impact of natural resources and the ageing population on the emission of carbon dioxide (CO₂) in G-11 countries using panel data from 1990–2020. For empirical results, second-generation methods were applied. The Westerlund co-integration test that assesses co-integration confirms the firm association among the parameters, and the values of coefficient of the cross-sectional autoregressive distributed lag (CS-ARDL) approach show that a 1% increase in the ageing population will lower the emissions of CO₂ by 13.41% among G-11 countries. Moreover, the findings show that there exists an environmental Kuznets curve (EKC) among natural resources, globalization, economic growth, ageing people, and the emission of CO₂. Based on the findings, this work presents some important policy implications for achieving sustainable growth in the G-11 countries. These countries need to lower the amount of energy obtained from fossil fuels to improve air quality.

Energy is a fundamental requirement to sustain human life, but most people in rural areas do not have enough access to efficient and affordable energy resources. Socio-economic measures are increasingly used to determine household energy consumption patterns. The pattern of household energy consumption represents the status of welfare as well as the stage of a country’s economic development. Household energy consumption is expected to increase in the future, along with growth in the economy and a rise in per capita incomes. This study was undertaken to understand the driving forces for energy preference in rural households, while reassessing the energy ladder and multiple fuel use. Two hundred questionnaires were administered to elicit information from respondents in Altein, Botsoleni, Makhovha and Thenzheni in the Thulamela municipality of South Africa. A non-parametric test (Chi-square) was used to determine the relationships amongst the factors influencing the use of fuelwood in the study area. Cramer’s V was used to test the association of the variables, the strength and the direction of the relationship. The results indicate that household income, educational level and employment status, cultural norms and values, are among the key determinants of the energy preference scale.Keywords: rural households; energy consumption; energy ladder; energy preference

In South Africa, waste pickers play a significant role in the management of waste at landfill sites. Waste picking is an income-generating venture for most people with low-income base. The activity of sorting waste at landfill sites is, however, associated with occupational health risks to waste pickers which this study has examined. The study adopted a cross-sectional survey with a convenience sampling method which was conducted among 114 waste pickers in three landfill sites in Limpopo Province of South Africa. A validated questionnaire was used in eliciting responses from the participants. The statistical technique employed includes the ANOVA, simple, and multiple regression. The results indicated that, in the last one year, waste pickers exposed to landfill sites were 1.7 times more likely to develop a common health disorder (AOR: 1.733; 95% CI: 1.069, 2.755; value: 0.041). There was statistical significance between the number of days worked at the landfill and the health conditions of the waste pickers ( ≤ 0.001). The cofounders were adjusted for age and years worked, and the result revealed that days worked by the waste pickers’ increased their chances of occupational health risks by 1.4 times. It is unlikely that waste pickers will have a risk-free environment, but supportive policies such as provision of adequate personal protective equipment and more awareness programmes on the health risks related to such enterprises will aid in abating the associated risks.

There is a need to implement efficient strategies to mitigate the challenges of climate change and income inequalities in developing countries. Several studies have been conducted to address the relationship among different econometric and environmental indicators of renewable energy (RE) but overlooked the relationship between RE and income inequalities. This study investigates the influence of the distribution of income on the RE in Brazil, Russia, China, and South Africa (BRICS) between 1988 and 2017. The econometric (economic growth and trade), environmental, and institutional parameters are also integrated into the model. The outcomes reveal that reduced inequality in income distribution increases the consumption of RE. In contrast, CO₂ emissions have a positive correlation with RE. The governments should implement environmentally friendly policies and increase the consumption of renewable energy in the future with regards to reducing environmental pollution. Furthermore, findings from the study indicate a positive effect on the reduction of corruption in renewable energy. This shows that institutional quality can affect the uptake of renewable energy. The study further identified that growth in a country’s economy decreases RE consumption, suggesting that these countries prefer fossil fuels to gain economic growth. The Granger causality results show that a bidirectional causality exists between income inequality and RE consumption. Bidirectional causality is observed between income distribution and CO₂ emissions. The results from this study are important for policymakers to achieve sustainable development because fair income distribution and environmental quality are considered as two key factors for sustainable development. Strong institutions and control on corruption can bring sound social and economic gains. Therefore, fair distribution of income and strong institutional policies can increase RE consumption to achieve a clean environment.