Performance Comparison of Industry Clusters: Canonical Correlation Analysis vs Data Envelopment Analysis

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24310%2F23%3A00011506" target="_blank" >RIV/46747885:24310/23:00011506 - isvavai.cz</a>
Result on the web
<a href="https://mme2023.vse.cz/mme_2023_proceedings.pdf" target="_blank" >https://mme2023.vse.cz/mme_2023_proceedings.pdf</a>
DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Performance Comparison of Industry Clusters: Canonical Correlation Analysis vs Data Envelopment Analysis
Original language description
The paper evaluates the performance of companies in two industries - automotive and textile in 2019 and 2020 concerning their membership in a cluster organisation. The surveyed firms in both sectors were divided into three groups. The first group included member companies of the cluster organisation. Their performance is expected to be higher than the other two groups due to their direct involvement in cluster activities. The second group includes companies operating in the cluster’s region. In this case, it can be assumed that these firms could benefit from the positive externalities of the existing cluster organisation. Their performance could thus be better than that of the third group of companies operating in other regions already too far from the cluster. Two alternative methods, Data Envelopment Window Analysis and Canonical Correlation Analysis, were used to assess the performance of the companies. Both tools can handle more inputs and outputs, but they work differently. This paper compares the results obtained using both methods and discusses their advantages and disadvantages.
Czech name
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Czech description
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Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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