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

Kód výsledku v 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>

Výsledek na webu

<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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Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

50202 - Applied Economics, Econometrics

Projekt

<a href="/cs/project/GA18-01144S" target="_blank" >GA18-01144S: Empirická studie dopadů existence klastrů na výkonnost členských podniků</a><br>

Návaznosti

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

Rok uplatnění

2020

Kód důvěrnosti údajů

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

Název statě ve sborníku

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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Počet stran výsledku

7

Strana od-do

572-578

Název nakladatele

Mendel University in Brno

Místo vydání

Brno

Místo konání akce

Brno

Datum konání akce

1. 1. 2020

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

000668460800087