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Knowledge Intensive Services' Suppliers and Clients

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23<br />

coefficients – shifts in economic activity which increase the dem<strong>and</strong> for these<br />

services as contributors to final products. In other words, KIBS are becoming more<br />

significant elements in the activities of the whole economy. Table 3 demonstrates<br />

that business services also contribute to other services’ activities in the Dutch<br />

economy.<br />

2.1.3 Economic performance<br />

Several studies have used macro-data to throw light on the relations between KIBS<br />

use <strong>and</strong> the economic performance of these users. 8 These studies work with<br />

statistics representing economic sectors, <strong>and</strong> the hypotheses tested are that there is a<br />

correlation between the use of KIBS inputs across sectors (given from IO data) <strong>and</strong><br />

the performance of these sectors. (Thus what is tested is the notion that sectors<br />

whose firms have a high level of KIBS use are sectors with better than average<br />

performance – though we can only infer that this performance actually derives<br />

from the KIBS-using firm.) Measures of performance may be such indicators as<br />

growth <strong>and</strong> productivity growth rates. We consider two variants of this approach<br />

below.<br />

A cluster analysis of service inputs<br />

Peneder et al (2001) 9 seek to assess the effects of external service inputs on the performance<br />

of EU manufacturing. They use statistical cluster analysis methods to develop<br />

a taxonomy of (manufacturing) sectors based on their use of different service<br />

inputs. However, the data source employed for this is US IO tables for 1992, due to<br />

the lack of precision of large-scale EU data sets. There is a rather bold assumption<br />

8 The issue here is how KIBS contribute to the performance of their users – not how the performance of<br />

KIBS contributes to the average performance of all economic sectors. Baker et al (2002) provide an<br />

example of the latter type of approach. They analyse the labour productivity growth in market<br />

services for 9 EU Member States, the USA <strong>and</strong> Japan., <strong>and</strong> also calculate the contribution made by<br />

market services to aggregate labour productivity performance. The OECD’s STAN database<br />

provided the data used here. The researchers depicted a low rate of (measured) productivity growth<br />

<strong>and</strong> strong employment growth in business services. Divergent trends seemed to emerge in the EU<br />

<strong>and</strong> US – the EU’s superior performance in the earlier period (in employment <strong>and</strong> especially in<br />

productivity growth) is overtaken by that of the US in subsequent years. This finding is now fairly<br />

well known (<strong>and</strong> much argued over) for the economy as a whole. If reliance can be placed on the data<br />

(<strong>and</strong> there is a strong line of critique of the adequacy of productivity indicators for services) it raises<br />

the question of how these services’ performance is affecting their contributions to their clients, <strong>and</strong><br />

thus their clients’ performance.<br />

9 Peneder M., S. Kaniovski <strong>and</strong> B. Dachs (2001) “External services, structural change <strong>and</strong> industrial<br />

performance”, Enterprise Papers No. 3, European Commission – DG-Enterprise.

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