Impact of Cluster Organizations on Financial Performance in Selected Industries: Malmquist Index Approach

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24310%2F20%3A00007805" target="_blank" >RIV/46747885:24310/20:00007805 - isvavai.cz</a>

Result on the web

<a href="https://mme2020.mendelu.cz/wcd/w-rek-mme/mme2020_conference_proceedings_final.pdf" target="_blank" >https://mme2020.mendelu.cz/wcd/w-rek-mme/mme2020_conference_proceedings_final.pdf</a>

DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Impact of Cluster Organizations on Financial Performance in Selected Industries: Malmquist Index Approach

Original language description

The article deals with the evaluation of differences in financial performance of companies in relation to membership in a cluster organization. The aim is to determine whether member companies in a cluster organization reach higher financial performance than other companies. The research included companies from two sectors: the automotive and engineering industries. The companies were divided into three groups: member companies of a cluster organization, non-member companies operating in the same region as a cluster organization, and companies operating in other regions. Financial performance development was evaluated using the Malmquist index based on DEA window scores. Equity, liabilities, revenues from own products and services and economic value added were used as inputs and out-puts of the model. The overall change in financial performance was monitored in terms of changes in technical efficiency and technological change. The change in technical efficiency was further examined in terms of pure technical efficiency and scale efficiency. Differences between individual groups of companies were evaluated using the Games-Howell nonparametric post-hoc test, applied to the logarithm data. In the automotive industry, natural clustering has proved to be more favorable in terms of the financial performance of companies. In the engineering industry, the best performing companies were members of cluster organizations.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

50202 - Applied Economics, Econometrics

Project

<a href="/en/project/GA18-01144S" target="_blank" >GA18-01144S: An empirical study of the existence of clusters and their effect on the performance of member enterprises</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2020

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

38th International Conference on Mathematical Methods in Economics (MME 2020). Conference Proceedings

ISBN

978-80-7509-734-7

ISSN

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e-ISSN

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Number of pages

7

Pages from-to

572-578

Publisher name

Mendel University in Brno

Place of publication

Brno

Event location

Brno

Event date

Jan 1, 2020

Type of event by nationality

EUR - Evropská akce

UT code for WoS article

000668460800087