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What determines the efficiency of Australian mining companies?
Author(s) -
Hosseinzadeh Ahmad,
Smyth Russell,
Valadkhani Abbas,
Moradi Amir
Publication year - 2018
Publication title -
australian journal of agricultural and resource economics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.683
H-Index - 49
eISSN - 1467-8489
pISSN - 1364-985X
DOI - 10.1111/1467-8489.12232
Subject(s) - data envelopment analysis , diversification (marketing strategy) , portfolio , efficiency , business , panel data , industrial organization , econometrics , product (mathematics) , inference , economics , finance , statistics , marketing , computer science , geometry , mathematics , estimator , artificial intelligence
We examine the firm‐specific determinants of technical efficiency in Australian mining companies using data envelopment analysis ( DEA ). To do so, we employ panel data sourced from individual mining companies listed on the Australian Securities Exchange ( ASX ) over the period 2010–2014. To ensure valid statistical inference in the presence of serial correlation between DEA efficiency scores, we apply Simar and Wilson's two‐stage bootstrap method. We find that ownership concentration, firm size, firm age, product portfolio, product diversification and growth status significantly contribute to efficiency gains. However, other firm‐specific factors, such as capacity utilisation, financial risk and overseas operations appear to have limited impact on the technical efficiency of mining firms.