2020
DOI: 10.1016/j.econlet.2020.109003
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Structural characteristics of industrial clusters and regional innovation

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Cited by 21 publications
(15 citation statements)
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“…The problem of the Czech cluster organisations, in addition to a shorter period of existence, is also their small size. The results of no evidence of clustering effect on firm performance in this study can be aligned with results of Delgado et al (2010) showing clustering effects associated more with mature or large clusters, and also with Mo, He and Yang (2020) confirming intensification of clustering effects with increasing size.…”
Section: Discussionsupporting
confidence: 82%
See 1 more Smart Citation
“…The problem of the Czech cluster organisations, in addition to a shorter period of existence, is also their small size. The results of no evidence of clustering effect on firm performance in this study can be aligned with results of Delgado et al (2010) showing clustering effects associated more with mature or large clusters, and also with Mo, He and Yang (2020) confirming intensification of clustering effects with increasing size.…”
Section: Discussionsupporting
confidence: 82%
“…The positive impact of the cluster on performance was identified after more than 20 years of cluster existence. Mo, He and Yang (2020) found that innovation success depends on the size and type of cluster. Large traded clusters have a stronger positive impact on regional innovation through the sharing of services, labour, tacit knowledge, technology etc.…”
Section: Theoretical Backgroundmentioning
confidence: 99%
“…The location entropy index can measure the spatial distribution of elements in a certain area, and is suitable as an effective index to measure the spatial distribution and agglomeration level of the research object, and it is comparable between different geographical units within the area (O'Donoghue and Gleave, 2004), so as to meet the needs of this research. Therefore, we draw on the idea of location entropy index and follow the method of and Mo et al (2020) to construct the ratio of city secondary industry employees to the national secondary industry employees. This industry agglomeration index measures the degree of industrial agglomeration in each city, and its specific calculation formula is as follows:…”
Section: Independent Variablementioning
confidence: 99%
“…There is a two-way relationship: open innovations of companies can determine creativity and complexity of a cluster, while at the same time, openness and creativity of a cluster determine the degree of open innovation of its members. This function is most fully performed by technoparks, which are a special kind of clusters and connect participants in various industries and sectors of the economy [9][10][11][12].…”
Section: Introductionmentioning
confidence: 99%