Abstract
Mining diamond poses significant and potentially underestimated risks to the environment worldwide. Here, we propose a Diamond Environmental Impacts Estimation (DEIE) model to forecast the environmental indicators, including greenhouse gas (GHG) emissions, mineral waste, and water usage of the diamond industry from 2030 to 2100 in the top diamond production countries under different Shared Socio-economic Pathways (SSPs). The DEIE projection results indicate that the annual GHG emissions, mineral waste, and water usage of the global diamond industry will reach 9.65 Mt, 422.80 Mt, and 78.68 million m3 under the SSP1-1.9 scenario, and 13.26 Mt, 582.84 Mt, and 107.95 million m3 under the SSP2-2.6 scenario in 2100, respectively. We analyze the environmental impact heterogeneities and the associated driving factors across the major diamond production countries identified by our DEIE framework. In addition, we find that lab-grown diamonds can reduce annual GHG emissions, mineral waste, and water usage by 9.58 Mt, 421.06 Mt, and 66.70 million m3 in 2100. The lab-grown diamond substitution policy can annually save 714 million cubic meters of landfill space, harvest 255 million kilograms of rice, feed 436 million people, and lift 1.19 million households out of hunger. The lab-grown diamond substitution policy could contribute to the diamond industry’s GHG mitigation and sustainability efforts in a cost-saving manner.
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1 Chinese Academy of Sciences, Academy of Mathematics and Systems Science, Beijing, China (GRID:grid.9227.e) (ISNI:0000000119573309); University of Chinese Academy of Sciences, School of Economics and Management, Beijing, China (GRID:grid.410726.6) (ISNI:0000 0004 1797 8419)
2 The University of Hong Kong, HKU Business School, Hong Kong, China (GRID:grid.194645.b) (ISNI:0000 0001 2174 2757)
3 Chinese Academy of Sciences, Academy of Mathematics and Systems Science, Beijing, China (GRID:grid.9227.e) (ISNI:0000000119573309); University of Chinese Academy of Sciences, School of Economics and Management, Beijing, China (GRID:grid.410726.6) (ISNI:0000 0004 1797 8419); ShanghaiTech University, School of Entrepreneurship and Management, Shanghai, China (GRID:grid.440637.2) (ISNI:0000 0004 4657 8879)




