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Cited by 462

The DOI matches its Crossref record; 47 of the 47 references it cites were found in a registry or an index.

Innovation and economic performance in services: a firm-level analysis

Open access
Cainelli, Giulio, Evangelista, Rinaldo, Savona, Maria·2006·Cambridge Journal of Economics

Abstract

This paper explores the two-way relationship between innovation and economic performance in services using a longitudinal firm-level dataset which matches data from the second Community Innovation Survey, CIS II (1993–95), against a set of economic variables provided by the System of Enterprise Accounts (1993–98). The results presented show that innovation is positively affected by past economic performance and that innovation activities (especially investments in ICTs) have a positive impact on both growth and productivity. Furthermore, productivity and innovation act as a self-reinforcing mechanism, which further boosts economic performance. These findings provide empirical support for the endogenous nature of innovation in services and the presence in this sector of competition models and selection mechanisms based on innovation.

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Crossref · 10.1093/cje/bei067

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Metadata

Authors
Cainelli, G., Evangelista, R., & Savona, M.
Venue
Cambridge Journal of Economics
Published
2005-08-08
Volume
30
Issue
3
Pages
435-458
ISSN
  • 0309-166X (ISSN-L)
  • 1464-3545
OpenAlex
W2139967216
Cited by
462
References
47
FWCI
25.85
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Innovation and economic performance in services: a firm-level analysis. https://app.cochat.ai/papers/10.1093/cje/bei067
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Cainelli, G., Evangelista, R., & Savona, M. (2006). Innovation and economic performance in services: a firm-level analysis. Cambridge Journal of Economics. https://doi.org/10.1093/cje/bei067

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.