Isaiah Hubert Magambo, Johane Dikgang
This study evaluates the environmental performance of large gold-mining operations by applying a by-production model that specifies emission-generating technology, while incorporating a four-way error approach that captures mine-size heterogeneity, transient and persistent technical efficiency, and random errors. We applied a true random effects model (TREM), and a simulated maximum likelihood estimator (SMLE) based on the generalised true random effects model (GTREM). Firm-level data from 2009 to 2018 were used; the results show the presence of environmental and technical inefficiencies. Moreover, each inefficiency was decomposed into transient and persistent inefficiencies. The overall environmental performance of the mines in developing countries is low (66%) compared to other sectors, which indicates that there could be structural rigidities, poor environmental policies and regulations, poor enforcement, or any combination of the three. We also found robust empirical evidence that between 2009 and 2018, on average, gold-mining firms neither strongly increased nor strongly decreased their transient or their persistent technical and environmental efficiency. Besides, firms with high technical efficiency simultaneously have high environmental efficiency, which suggests that promoting high environmental efficiency will also promote high technical efficiency.
@article{72f7ee72-78a7-428d-bb15-8e02511d4c19,
title={Environmental and Technical Efficiency in Large Gold Mines in Developing Countries},
author={Isaiah Hubert Magambo and Johane Dikgang},
year={2021},
language={en}
}TY - JOUR TI - Environmental and Technical Efficiency in Large Gold Mines in Developing Countries AU - Isaiah Hubert Magambo AU - Johane Dikgang PY - 2021 LA - en ER -
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