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On the relationship between innovation and performance: A sensitivity analysis
Open accessAbstract
We examine sensitivity of the estimated relationship between innovation and firm performance. In doing so, we rely on a knowledge production function approach and carry out comparisons in a number of ways. The sensitivity analysis is based on the comparison of a basic econometric model estimated assuming different error structure and using the same data source, an identical model but different data sources, different classifications of firms performance, different classifications of innovation and the two main different subpopulations of the business sector. The analyses are performed in both level and growth-rate dimensions. New findings are reported and previous results are confirmed as well. The study gives indications of what factors cause variations in the estimated effects of interest and the direction of changes.
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Cites
Sample Selection Bias as a Specification Error
Heckman, J. J. (1979) · Econometrica · doi:10.2307/1912352 · Cited by 28,779
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Gronum, S., Verreynne, M.-L., & Kastelle, T. (2012) · Journal of Small Business Management · doi:10.1111/j.1540-627x.2012.00353.x · Cited by 459
Gaglio, C., Kraemer-Mbula, E., & Lorenz, E. (2022) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2022.121785 · Cited by 452
IMPACT OF FINANCIAL CONSTRAINTS ON INNOVATION: WHAT CAN BE LEARNED FROM A DIRECT MEASURE?
Savignac, F. (2008) · Economics of Innovation and New Technology · doi:10.1080/10438590701538432 · Cited by 404
Capital is not enough: Innovation in developing economies
Bradley, S. W., McMullen, J. S., Artz, K., & Simiyu, E. M. (2012) · Journal of Management Studies · doi:10.1111/j.1467-6486.2012.01043.x · Cited by 375
Metadata
- Authors
- Lööf, H., & Heshmati, A.
- Venue
- Economics of Innovation and New Technology
- Publisher
- Informa UK Limited
- Published
- 2006-06
- Volume
- 15
- Issue
- 4-5
- Pages
- 317-344
- ISSN
- 1043-8599 (ISSN-L)
- 1476-8364
- OpenAlex
- W1987891877
- Cited by
- 565
- References
- 1
- FWCI
- 54.15
- Type
- journal article
- Language
- en
- Open access
- green
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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.
