This study makes use of two statistical methods, namely cluster analysis and discriminant analysis, to attempt to identify significant statistical relationships which may exist between various structural characteristics which are perceived to be of importance to the Tasmanian economy and certain aspects of the economic performance of manufacturing activities operating within the economy. Cluster analysis is used to group individual industries into various performance groups, after which discriminant analysis is applied to identify other attributes or characteristics, if any, that effectively distinguish between the clusters. Data is constructed at the 3-digit Australian Standard Industry Classification level for Tasmanian manufacturing ind...
In this paper, the performance of 105 firms (the study sample out of 523 firm, study population) is ...
This article presents a theoretically based method for identifying the clusters of indus-tries in wh...
This is a reprint from Vol 1, no 1, which has not previously been available in electronic format. T...
This study makes use of two statistical methods, namely cluster analysis and discriminant analysis, ...
The main approach of this paper is to provide a descriptive picture of the Tasmanian economy and ke...
The intension of this study was to identify the industrial highlights and strengths of the East Midl...
The manufacturing industry is considered as one of the most important economic sectors in developed ...
The objective of this thesis is to analyse the current structure of manufacturing in Tasmania, in te...
This report explores the industry structure, business demography and innovation activity for firms ...
The aim of this study is to analyze the competitiveness of the Dayton Metropolitan Statistical Area ...
Grouping regional towns and cities in Australia based on economic functions could help to better und...
This article explores the phenomenon of industry clustering in Australia. It includes an overview of...
Abstract. The industrial cluster concept has become a subject of intense research studies and econom...
Grouping regional towns and cities in Australia according to economic functions could improve unders...
This thesis seeks to establish whether Australia’s manufacturing competitiveness improved during the...
In this paper, the performance of 105 firms (the study sample out of 523 firm, study population) is ...
This article presents a theoretically based method for identifying the clusters of indus-tries in wh...
This is a reprint from Vol 1, no 1, which has not previously been available in electronic format. T...
This study makes use of two statistical methods, namely cluster analysis and discriminant analysis, ...
The main approach of this paper is to provide a descriptive picture of the Tasmanian economy and ke...
The intension of this study was to identify the industrial highlights and strengths of the East Midl...
The manufacturing industry is considered as one of the most important economic sectors in developed ...
The objective of this thesis is to analyse the current structure of manufacturing in Tasmania, in te...
This report explores the industry structure, business demography and innovation activity for firms ...
The aim of this study is to analyze the competitiveness of the Dayton Metropolitan Statistical Area ...
Grouping regional towns and cities in Australia based on economic functions could help to better und...
This article explores the phenomenon of industry clustering in Australia. It includes an overview of...
Abstract. The industrial cluster concept has become a subject of intense research studies and econom...
Grouping regional towns and cities in Australia according to economic functions could improve unders...
This thesis seeks to establish whether Australia’s manufacturing competitiveness improved during the...
In this paper, the performance of 105 firms (the study sample out of 523 firm, study population) is ...
This article presents a theoretically based method for identifying the clusters of indus-tries in wh...
This is a reprint from Vol 1, no 1, which has not previously been available in electronic format. T...