The DOI matches its Crossref record.
Innovation and market structure in the dynamics of the pharmaceutical industry and biotechnology: towards a history-friendly model
Abstract
This paper is a first attempt at modelling the long‐term dynamics of market structure and innovation in the pharmaceutical industry in a history‐friendly way. The model examines the relationships between the nature of the search space, demand, the patterns of competition, and industry evolution in the age of random screening and in the age of molecular biology, and shows that concentration in the pharmaceutical industry is shaped by lack of cumulativeness in innovative activities and market fragmentation. The model conforms to our appreciative understanding and responds to changes in parameters concerning demand, costs, economies of scale, opportunity conditions and the relative advantages of new biotechnology firms (NBFs) vis‐à‐vis incumbents. With the exception of cost increases, the model is quite robust to these changes in its essential features: it is quite difficult to raise substantially concentration and to have NBFs displacing incumbents.
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Citations
Cited by
The Emergence of Organizations and Markets
Padgett, J. F., & Powell, W. W. (2012) · doi:10.23943/princeton/9780691148670.001.0001 · Cited by 745
Metadata
- Authors
- Malerba, F.
- Venue
- Industrial and Corporate Change
- Publisher
- Oxford University Press (OUP)
- Published
- 2002-08-01
- Volume
- 11
- Issue
- 4
- Pages
- 667-703
- ISSN
- 0960-6491 (ISSN-L)
- 1464-3650
- OpenAlex
- W2121194385
- Cited by
- 265
- References
- 0
- FWCI
- 19.14
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Innovation and market structure in the dynamics of the pharmaceutical industry and biotechnology: towards a history-friendly model. https://app.cochat.ai/papers/10.1093/icc/11.4.667
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- Malerba, F. (2002). Innovation and market structure in the dynamics of the pharmaceutical industry and biotechnology: towards a history-friendly model. Industrial and Corporate Change. https://doi.org/10.1093/icc/11.4.667
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.