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Mining a Mirage Buenos Aires, September 2016
The Future of Extractive Industries in LAC and the Role of STI
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2 separate discussions around mining
Creation of jobs Technology transfer Health & safety Increased productivity Local content Business opportunities Automation Environment
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Shared value paradigm Source: Anglo American (2015), BP (2015)
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Past and anticipated productivity gains
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Potential impacts of technology on employment
1.Autonomous Haul Trucks and Loaders 2. Autonomous Long Distance Haul-Trains 3.Tele-remote Ship-Loaders 4.Semi-autonomous Crushers/Shovel Swings/Rock Breakers 5.Automated Drilling Systems 6.Automated Dragline/Long-wall Plough and Shearers/Earth Moving Systems 7.Geographic Information Systems and GPS 8.Autonomous Equipment Monitoring 9.Programmable Logic Controllers 10.Control Systems
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What will determine technology role-out?
Cost of labor Labor skills Search for higher safety Policy instruments to mitigate unemployment Union & government resistance
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High-Income OECD Country
Lower-middle-income Country
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Employment scenarios (direct & indirect)
High-Income OECD Country Lower-Middle-Income Country 3,388 2,372 1,694 1,016 5,100 3,570 2,550 1,530 0% 30% 50% 70%
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Impacts of automation on GDP
High-Income OECD Country Lower-Middle-Income Country
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GDP impacts with multipliers
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Impacts of automation on revenues
High-Income OECD Country Lower-Middle-Income Country
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Conclusions Host countries at risk of reduced socioeconomic benefits from mining, particularly: At the local local level If highly reliant on personal income taxes for revenue generation If the country supplies low-tech goods and services to the mining industry The impacts will be felt at the national level in countries which are highly reliant on the extractives sector. Countries with a ’skill gap’ will find it harder at filling the high-tech job and procurement opportunities created by automation.
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Will technology change lead to a reweighting of the shared-value paradigm?
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Thank You! Nicolas Maennling www.ccsi.columbia.edu
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