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Cited by 347

The DOI matches its Crossref record; 23 of the 23 references it cites were found in a registry or an index.

Learning and catching up in different sectoral systems: evidence from six industries

Malerba, F., Nelson, R.·2011·Industrial and Corporate Change

Abstract

This article claims that catching up is a learning process that requires a long time and often differs significantly across economic sectors in the factors leading to success or failure. We support these claims by examining the major factors affecting catching up by several countries in six industries: India and Brazil for pharmaceuticals; Korea, China, and Brazil for autos; India, Ireland, Israel, China, Brazil, and other countries for software; Korea and India for telecommunication equipment; Korea, Taiwan, China, and Malaysia for semiconductors; and China, Brazil, Costa Rica, and Nigeria for some agricultural crops. The article uses the framework of sectoral systems and argues that there are significant differences across these sectors in the variables and mechanisms involved in catching up. The article identifies the common factors affecting catching up and the main differences across sectoral systems. It then discusses the interplay between national systems and sectoral systems.

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Crossref · 10.1093/icc/dtr062

Cites

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Citations

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Metadata

Authors
Malerba, F., & Nelson, R.
Venue
Industrial and Corporate Change
Published
2011-12-01
Volume
20
Issue
6
Pages
1645-1675
ISSN
  • 0960-6491 (ISSN-L)
  • 1464-3650
OpenAlex
W2043668630
Cited by
347
References
23
FWCI
24.96
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Learning and catching up in different sectoral systems: evidence from six industries. https://app.cochat.ai/papers/10.1093/icc/dtr062
The paper
Malerba, F., & Nelson, R. (2011). Learning and catching up in different sectoral systems: evidence from six industries. Industrial and Corporate Change. https://doi.org/10.1093/icc/dtr062

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.