Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/89252 
Year of Publication: 
2013
Series/Report no.: 
Tinbergen Institute Discussion Paper No. 13-193/VIII
Publisher: 
Tinbergen Institute, Amsterdam and Rotterdam
Abstract: 
The business performance of firms in the creative high-tech sector shows much variation. This paper examines whether the geographical location of such business firms influences the performance of these firms. The overarching analysis framework of this paper emerges from the recently developed Strategic Performance Management (SPM) concept for individual firms, which in the present study is extended with spatial meso-attributes related to the location of these firms. SPM aims to improve the firms’ competitive performance through the application of strict internal management principles. Our study thus adopts a micro-business perspective on the organizational determinants of a firm’s economic performance and its links with distinct spatial entrepreneurship conditions and general economic moderator variables. The present study focuses on both large and small and medium-sized (SME) firms, mainly operating in the creative high-tech sector in the Netherlands. The research methodology uses stepwise the following analytical tools: multivariate analysis of an extensive micro- and meso-data set on the internal performance of firms and regional covariates; Data Envelopment Analysis (DEA) and its recent extension to super-efficient DEA for mapping out in a comparative way the achievements of both regions and firms; a GIS-oriented statistical analysis to identify geographically-discriminating factors in the firms’ performance; and the design and estimation of a Structural Equations Model (SEM) for assessing the performance of the firms concerned (using what is called the ‘flying disc’ model). Our results show significant differences in the performance of large vis-à-vis SME firms that have adopted SPM, while their geographical position in the country, in general, also plays a significant role.
Subjects: 
creative industries
high-tech sector
Data Envelopment Analysis (DEA)
super-efficient DEA
principal component analysis
Structural Equations Model
flying disc model
JEL: 
M19
M21
Q5
Q56
R10
R11
R12
R15
Document Type: 
Working Paper

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