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Innovation and Bureaucracy Under Soft and Hard Budget Constraints
Abstract
Because of the inherent uncertainty, promotion of innovation critically depends on screening mechanisms to select projects. This paper studies the relationship between bureaucracy and financial constraints as two such mechanisms. The lack of commitment to hard financial constraints interferes with its ex post screening capability; ex ante bureaucratic screening is optimally chosen as a substitute. However, bureaucracy makes mistakes by rejecting promising projects and delays innovation, and the efficiency loss due to soft financial constraints increases as prior knowledge becomes worse and as research stage investment requirements become lower. In a centralized economy, bureaucracy may reduce the number of parallel projects, particularly for projects with higher uncertainties and less research stage requirements. This theory fits much of the evidence and in particular it explains why the computer industry, but not the nuclear or aerospace industries, has fared so poorly in centralized economies.
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Citations
Cited by
Institutional context and the allocation of entrepreneurial effort
Bowen, H. P., & De Clercq, D. (2008) · Journal of International Business Studies · doi:10.1057/palgrave.jibs.8400343 · Cited by 719
Entrepreneurship as Experimentation
Kerr, W. R., Nanda, R., & Rhodes-Kropf, M. (2014) · Journal of Economic Perspectives · doi:10.1257/jep.28.3.25 · Cited by 704
Metadata
- Authors
- Qian, Y., & Xu, C.
- Venue
- Review of Economic Studies
- Publisher
- Oxford University Press (OUP)
- Published
- 1998-01
- Volume
- 65
- Issue
- 1
- Pages
- 151-164
- ISSN
- 0034-6527 (ISSN-L)
- 1467-937X
- OpenAlex
- W1990172687
- Cited by
- 211
- References
- 0
- FWCI
- 18.10
- Type
- journal article
- Language
- en
- Open access
- closed
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- Qian, Y., & Xu, C. (1998). Innovation and Bureaucracy Under Soft and Hard Budget Constraints. Review of Economic Studies. https://doi.org/10.1111/1467-937x.00039
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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