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 impac...
The operational efficiency of chemical industry is determined by identifying the technical and scale...
This study evaluates the technical efficiency, productivity change of financial companies listed in ...
Using a large plant level data set, this paper carries out an econometric analysis of the environmen...
We identify the balance of efficiency gains and losses for 33 Australian mining firms over the perio...
The purpose of the study is to develop a data envelopment analysis (DEA) model to estimate the relat...
The aim of the study is to estimate the relative efficiency of nine South African mining companies i...
After 26 years of growth, the Australian economy is beginning to show signs of stress and declining ...
This study re-examines both pure technical and scale efficiency of Australian banks using bootstrap ...
Efficiency is the company's ability to maximize output by using certain inputs. This study aims to d...
Data Envelopment Analysis (DEA) is one of the commonly used non-parametric frontier analysis techniq...
Given the increasing importance of the mining sector in developing countries, an understanding of th...
After 26 years of growth, the Australian economy is beginning to show signs of stress and declining ...
The purpose of the study is to develop a data envelopment analysis (DEA) model to estimate the relat...
The purpose of this paper is to quantify and analyze the technical efficiency levels in Mexico's non...
A commonly used, but unadjusted, measure of Australian mining multifactor productivity (MFP) fell by...
The operational efficiency of chemical industry is determined by identifying the technical and scale...
This study evaluates the technical efficiency, productivity change of financial companies listed in ...
Using a large plant level data set, this paper carries out an econometric analysis of the environmen...
We identify the balance of efficiency gains and losses for 33 Australian mining firms over the perio...
The purpose of the study is to develop a data envelopment analysis (DEA) model to estimate the relat...
The aim of the study is to estimate the relative efficiency of nine South African mining companies i...
After 26 years of growth, the Australian economy is beginning to show signs of stress and declining ...
This study re-examines both pure technical and scale efficiency of Australian banks using bootstrap ...
Efficiency is the company's ability to maximize output by using certain inputs. This study aims to d...
Data Envelopment Analysis (DEA) is one of the commonly used non-parametric frontier analysis techniq...
Given the increasing importance of the mining sector in developing countries, an understanding of th...
After 26 years of growth, the Australian economy is beginning to show signs of stress and declining ...
The purpose of the study is to develop a data envelopment analysis (DEA) model to estimate the relat...
The purpose of this paper is to quantify and analyze the technical efficiency levels in Mexico's non...
A commonly used, but unadjusted, measure of Australian mining multifactor productivity (MFP) fell by...
The operational efficiency of chemical industry is determined by identifying the technical and scale...
This study evaluates the technical efficiency, productivity change of financial companies listed in ...
Using a large plant level data set, this paper carries out an econometric analysis of the environmen...