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2019 | OriginalPaper | Buchkapitel

13. The Impact of Mining Commodity Price Booms and Sharp Exchange Rate Depreciation Episodes on Mining Output and Employment Growth

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Abstract

What is the impact of asset and commodity prices booms and busts on the mining sector? We establish that mining asset and commodity prices had a number of boom episodes. Although the boom episodes tend to be highly synchronised, their duration and amplitudes differ. Periods of capital flow surges (capital flow sudden stops) coincide with the R/US$ exchange rate appreciation (depreciation). Similarly, mining share price booms coincide with the capital flow episodes. Evidence in this chapter leads us to conclude that South Africa did not miss out on the commodity price booms contrary to the popular narrative. South Africa participated and benefitted from the recent commodity price booms. Nonetheless, South Africa could have performed even better in taking advantage and managing its commodities given the diverse basket of its mineral resources that are exported. We establish that mining commodity price busts exert disproportionate effects. Mining investment growth and employment growth bears the brunt of the commodity price busts. This is because sharp R/US$ exchange rate depreciations shock do not incentivise the mining sector to improve gross value add (output growth). Sharp exchange rate depreciation episodes are not good for the mining sector output growth. We fail to find significant evidence of the exchange rate depreciation dividend on the mining sector output growth. Sharp exchange rate depreciation episodes are not good for the mining sector output growth.
From a policy perspective, these results reinforce the findings that strategies aimed at investing in the value chains for mining commodity sectors, the development of new export markets and cushioning the sector against the cyclicality and severe slumps in global demand and commodity prices will support the mining sector as a “sunrise industry”. At the same time, it is necessary that such a strategy forms an integral part of the exchange rate policy and the operationalisation of the unemployment targets in the National Development Plan, the design of the proposed sovereign wealth fund and the co-ordination of the trade and other macroeconomic policies.

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Fußnoten
1
Harding and Pagan (2002a) extend the BB algorithm developed by Bry and Boschan (1971).
 
2
Figure 13.19 shows the stylised facts between the R/US$ exchange rate, platinum, coal and iron ore prices. There is a positive relationship between the R/US$ exchange rate and these commodity prices. The lead relationships indicate that changes in the R/US$ exchange rate lead to an increase in platinum, iron ore and coal prices.
 
3
See trends shown in Fig. 13.13.
 
4
What does this mean? We estimate a number of three variable VAR models to assess the sensitivity of the commodity sector output and employment growth to the R/US$ appreciations and depreciations. We create two dummy variables (i) which takes the value of the R/US$ appreciation and zero otherwise and (ii) which takes on the value of the R/US$ depreciation and zero otherwise. At any given point, the VAR model includes output and employment growth for non-gold mining or platinum or coal or metal ores or the R/US$ exchange rate depreciation or appreciation dummy variable. A comparison of the peak responses based on commodity mining sectors is shown in Fig. 13.20.
 
5
VIX is the CBOE Volatility Index used to measure of the stock markets’ expectations of volatility implied by the S&P500 index options.
 
6
See Fatas et al. (2009) for further details.
 
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Metadaten
Titel
The Impact of Mining Commodity Price Booms and Sharp Exchange Rate Depreciation Episodes on Mining Output and Employment Growth
verfasst von
Nombulelo Gumata
Eliphas Ndou
Copyright-Jahr
2019
DOI
https://doi.org/10.1007/978-3-030-30884-1_13