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Illegal mining, particularly as carried out by Zama Zamas (informal artisanal miners), has become an escalating concern in South Africa, presenting multifaceted challenges to affected communities. This study investigates the localised impacts of illegal mining in Atok, a community situated in Limpopo Province, through the lived experiences and perceptions of its residents. Employing a qualitative research design, the study uncovers the profound socio-economic and environmental consequences resulting from unregulated mining activities. Key findings include widespread environmental degradation, disruption of local economic activities, compromised public health, and a notable rise in crime and insecurity. These outcomes not only undermine the well-being of residents but also impede sustainable development in the region. The research underscores the urgent need for coordinated interventions involving government entities, local authorities, and community stakeholders to rehabilitate affected areas, enforce existing mining legislation, and implement community-based development initiatives. The insights generated contribute to the broader discourse on illegal mining and offer policy-relevant recommendations for mitigating its adverse effects in South Africa and similar contexts globally.

The study sought to relationship between enterprise risk management practices (ERM) and perceived sustainability of emerging and junior mining sector in South Africa as it creates employments and mineral diversification. This sector remains vulnerable to various risks factors including financial and regulatory among others.  The objective of the study was to examine the relationship between enterprise risk management practices and perceived sustainability of emerging and junior mining sector in South Africa. The study was anchored upon the governance theory. The study adopted the use of a quantitative methodology with a cross-sectional design using a secondary data panel downloaded from Kaggle data repository. The sample size of the study was 500 which included 262 males and 238 females who work in different mining organisational sizes. Regression analysis and structural equation modeling were tested and run to test the hypothesised statements. The results of OLS regression model 1 show that ERM_Governance has a positive and significant effect on sustainability and ERM_Value shows a negative and significant association, and other ERM dimensions are positive but not statistically significant. OLS regression Model 2 for perceived socio-economic importance shows that ERM_learning is a positive and significant predictor of socio-economic importance, and other ERM dimensions are not significant in this model. On the SEM front, ERM practices exhibited strong positive effects on both perceived sector sustainability and socio-economic importance (p < 0.001). Perceived sector sustainability significantly mediated the relationship between ERM practices and socio-economic importance (p < 0.001). Additionally, organisations size and mining experience were found to significantly moderate the ERM-sustainability relationship (p < 0.05), indicating the presence of contextual effects within the emerging and junior mining sector. The theoretical implication suggests that ERM should be taken as a monolithic construct but rather as a set of complementary dimensions with distinct outcome pathways. Practically, the results imply that policymakers and mining executives should prioritise strong governance and accountability systems to enhance sustainability perceptions while simultaneously investing in learning and collaborative capabilities to maximise socio-economic impact.

Illegal mining, particularly as carried out by Zama Zamas (informal artisanal miners), has become an escalating concern in South Africa, presenting multifaceted challenges to affected communities. This study investigates the localised impacts of illegal mining in Atok, a community situated in Limpopo Province, through the lived experiences and perceptions of its residents. Employing a qualitative research design, the study uncovers the profound socio-economic and environmental consequences resulting from unregulated mining activities. Key findings include widespread environmental degradation, disruption of local economic activities, compromised public health, and a notable rise in crime and insecurity. These outcomes not only undermine the well-being of residents but also impede sustainable development in the region. The research underscores the urgent need for coordinated interventions involving government entities, local authorities, and community stakeholders to rehabilitate affected areas, enforce existing mining legislation, and implement community-based development initiatives. The insights generated contribute to the broader discourse on illegal mining and offer policy-relevant recommendations for mitigating its adverse effects in South Africa and similar contexts globally.

The study sought to relationship between enterprise risk management practices (ERM) and perceived sustainability of emerging and junior mining sector in South Africa as it creates employments and mineral diversification. This sector remains vulnerable to various risks factors including financial and regulatory among others.  The objective of the study was to examine the relationship between enterprise risk management practices and perceived sustainability of emerging and junior mining sector in South Africa. The study was anchored upon the governance theory. The study adopted the use of a quantitative methodology with a cross-sectional design using a secondary data panel downloaded from Kaggle data repository. The sample size of the study was 500 which included 262 males and 238 females who work in different mining organisational sizes. Regression analysis and structural equation modeling were tested and run to test the hypothesised statements. The results of OLS regression model 1 show that ERM_Governance has a positive and significant effect on sustainability and ERM_Value shows a negative and significant association, and other ERM dimensions are positive but not statistically significant. OLS regression Model 2 for perceived socio-economic importance shows that ERM_learning is a positive and significant predictor of socio-economic importance, and other ERM dimensions are not significant in this model. On the SEM front, ERM practices exhibited strong positive effects on both perceived sector sustainability and socio-economic importance (p < 0.001). Perceived sector sustainability significantly mediated the relationship between ERM practices and socio-economic importance (p < 0.001). Additionally, organisations size and mining experience were found to significantly moderate the ERM-sustainability relationship (p < 0.05), indicating the presence of contextual effects within the emerging and junior mining sector. The theoretical implication suggests that ERM should be taken as a monolithic construct but rather as a set of complementary dimensions with distinct outcome pathways. Practically, the results imply that policymakers and mining executives should prioritise strong governance and accountability systems to enhance sustainability perceptions while simultaneously investing in learning and collaborative capabilities to maximise socio-economic impact.