The Mining Dynamics and Economic performance in South African Mineral Resources Using Quantile Regression

Lwazi Falakahla

MPRA Paper from University Library of Munich, Germany

Abstract: The paper analyses the performance of the South African mineral resources such as gold, coal, Platinum Group Metals (PGMs), iron ore, manganese and diamonds, by assessing the dynamics of commodity total production and sales over the period 1990-2018. The empirical evidence is based on Monge-Kantorovich Multivariate Quantile regression. The change in revenue, exchange rates, mining production oil prices, Producer Price Index (PPI) as well as the dummy variable which presents the shock of a global financial crisis, are proposed indicators of the study. The results are nevertheless ambiguous in some sectors. The findings provided that the depreciation of exchange rates is associated with positive and significant increases in total production and sales, particularly in the coal and diamond sectors. In particular, oil prices only contribute unfavorably to coal, PGMs and diamond production. The results might be interpreted to provide some useful implications for minerals and mining policy strategy.

Keywords: South Africa; Mining; Gold; Coal; PGM’s; Iron ore; Manganese; Diamonds; Quantile Regression (search for similar items in EconPapers)
JEL-codes: F15 F62 F63 Q48 (search for similar items in EconPapers)
Date: 2019-07-22
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Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:95284

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