scholarly journals Mine Performance Assessment by Means of Stochastic Frontier Analysis

2019 ◽  
Vol 2019 ◽  
pp. 1-7
Author(s):  
Ioannis E. Tsolas

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.

2018 ◽  
Vol 9 (3) ◽  
pp. 61 ◽  
Author(s):  
Manh-Trung Phung ◽  
Cheng-Ping Cheng ◽  
Chen-Yu Kao

Ownership structure and the performance of banking industry have been long considered as a matter of debate. Despite of differences in perspective, both “development view” and “politics view” approve the desire of governments to control financial institutions through their ownership structure. This paper adopts the two-stage stochastic frontier analysis (SFA) to examine the relation between ownership structure and bank’s efficiency in two long historic communism countries – China and Vietnam with the consideration of some political factors. Our result consistently indicates that banks with foreign-controlled shareholders in both countries can increase their efficiency significantly. Additionally, we uncover an interesting phenomenon that is during the election years, state-owned banks in China and Vietnam outperform the others. These banks are also the most beneficiaries from the economic expansion. Finally, meta-frontier is utilized to compare the relative performance of banking industry in these two countries.


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