Mine Performance Assessment by Means of Stochastic Frontier Analysis

This paper employs stochastic frontier analysis (SFA) in assessing efficiency at the mine level. An SFA model is derived using annual operational data from the Kardia Field mine of the Greek Public Power Corporation (PPC) S.A. for the 1984-2006 period and the causes of inefficiency are investigated...

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Published in:Mathematical problems in engineering 2019-01, Vol.2019 (2019), p.1-7
Main Author: Tsolas, Ioannis E.
Format: Article
Language:English
Subjects:
Coal mining
Data envelopment analysis
Debt restructuring
Diagnostic software
Diagnostic systems
Economic models
Mathematical problems
Performance assessment
Production functions
Regression analysis
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description This paper employs stochastic frontier analysis (SFA) in assessing efficiency at the mine level. An SFA model is derived using annual operational data from the Kardia Field mine of the Greek Public Power Corporation (PPC) S.A. for the 1984-2006 period and the causes of inefficiency are investigated by means of regression techniques. The proposed two-stage model can be used as a diagnostic tool to identify causes of mine inefficiency and as a tool for designing and specifying interventions to improve mine performance.
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subjects Coal mining
Data envelopment analysis
Debt restructuring
Diagnostic software
Diagnostic systems
Economic models
Mathematical problems
Performance assessment
Production functions
Regression analysis
title Mine Performance Assessment by Means of Stochastic Frontier Analysis
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