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The Technological Structure and Performance of Developing Country Manufactured Exports, 1985‐98
Abstract
This paper maps out the recent manufactured export patterns of developing countries, using a new and detailed classification by technological levels. It argues that export structures, being path-dependent and difficult to change, have important implications for growth and development. Low-technology products (which have the least beneficial learning and spillover effects) tend to grow the slowest, and technology-intensive products (which have the most beneficial effects) the fastest in world trade. East Asia dominates the developing country scene, with 70% of total manufactured exports, and its role rises over time. There is also high and rising concentration at the national level. The technological specialization of different regions and the leading exporters differ greatly, as do the strategies used to achieve competitiveness. Received trade theory cannot explain these patterns without considering learning processes and the policies used to promote them.
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Citations
Cited by
Doğan, B., Saboori, B., & Can, M. (2019) · Environmental Science and Pollution Research · doi:10.1007/s11356-019-06333-1 · Cited by 268
Pose‐Ferraro, N. (2026) · JCMS: Journal of Common Market Studies · doi:10.1111/jcms.13743 · Cited by 8
Metadata
- Authors
- Lall, S.
- Venue
- Oxford Development Studies
- Publisher
- Informa UK Limited
- Published
- 2000-10
- Volume
- 28
- Issue
- 3
- Pages
- 337-369
- ISSN
- 0264-5491 (ISSN-L)
- 1360-0818
- 1469-9966
- OpenAlex
- W2133733224
- Cited by
- 1,397
- References
- 0
- FWCI
- 29.71
- Type
- journal article
- Language
- en
- Open access
- closed
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- Lall, S. (2000). The Technological Structure and Performance of Developing Country Manufactured Exports, 1985‐98. Oxford Development Studies. https://doi.org/10.1080/713688318
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.