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EN
Artisanal and small-scale mining (ASM) - small sized, largely unrecognized, rudimentary, and an informal form of mining - occurs in more than 70 countries around the world and is mainly hailed for its socioeconomic benefits and reviled for its environmental devastation. As a result, many people are confused about the future of ASM. In Ghana, the government banned ASM in 2017 and formed a security taskforce drawn from the military and police to crack down on nomadic and local ASM workers who defy the ban. This approach is unsustainable, deals less with the fundamental problems, and increases poverty among the already impoverished local populations who depend on this type of mining as their only means of livelihood. To support the argument for sustainable reforms, revenue growth decomposition and growth accounting analyses were performed to determine the factors shaping ASM revenue over 25 years (1990-2016). Results show that production (gold output) is the most important factor that influences revenue growth from ASM, contrary to the usual view that the price of the metal is mainly responsible for the increase in revenue. Thus, increasing labor hours in ASM could significantly increase mining revenue, reduce unemployment, and improve local commerce. We strongly conclude that sustainable reforms such as increasing local participation in decision making, education and training, adoption of improved technology, strengthening regulatory institutions, legislation and enforcement of enactments, and the provision of technical support and logistics could ensure socio-environmental sustainability.
EN
Artisanal and small-scale mining is one of the global phenomena that is a threat to environmental health and safety. There are ambiguities in the manner in which an ore-processing facility operates. These ambiguities can cause environmental problems and hinder the mining capacity of these miners in Ghana. The vast majority of attempts to address these problems through the establishments of centralised processing centres have failed, with only a handful of successes. This research sought to use an established data-driven, geographic information based system to locate a centralised gold processing facility within the Wassa Amenfi-Prestea Mining Area in the Western region of Ghana. The study was designed to first determine the relevant factors that should be considered in the decision-making process for locating a centralised ore-processing facility. Secondly, it sought to implement the identified factors in a case study by identifying specific geospatial techniques that can best be applied to identify potential sites. By adopting in-depth consultations with four stakeholder groups for data collection and content analysis for data analysis, thirteen relevant factors were identified. However, in the case study, due to data unavailability, only seven of the factors were considered. Geoprocessing techniques including buffering and overlay analysis and multi-criteria decision analysis were employed to develop a model to identify the most preferred locations to site a centralised processing facility. Site characterisations and environmental considerations, incorporating identified constraints, to determine an appropriate location were selected. The final map output indicates estimated potential sites identified for the establishment of a centralised processing centre. The results obtained provide areas suitable for consideration.
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