Details

INDUSTRY CLUSTERS AND METHODS OF THEIR IDENTIFICATION: APPLICATION TO THE GARY - CHICAGO REGION

by KOSHELEVA, TATIANA

Abstract (Summary)
The thesis provides a description and classification of existing theories and methods of industry cluster identification. It also critiques the applicability of some of the methods that are widely used to identify industry clusters. Then, it gives a systematical description and assessment of quantitative methods based on input-output data that are the most applicable for industry cluster identification. These methods include Factor Analysis/Principal Components Analysis, Cluster Analysis, and Graph Theoretic Analysis. Principal Components Analysis and Hierarchical Agglomerative Cluster Analysis methods were tested with 2001 NAICS-based input-output data for the Gary-Chicago five-county region. These methods were then evaluated by comparing the results of the analyses. Several variations of data inputs and variations of methods’ algorithms were applied to evaluate sensitivity and consistency of the methods. The thesis includes a detailed description of the algorithms and the step-by-step procedures for each of the methods.
Bibliographical Information:

Advisor:

School:University of Cincinnati

School Location:USA - Ohio

Source Type:Master's Thesis

Keywords:industry cluster input output economic development factor analysis graph theoretic

ISBN:

Date of Publication:01/01/2005

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