The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Growth through Heterogeneous Innovations
Open accessAbstract
We build a tractable growth model in which multiproduct incumbents invest in internal innovations to improve their existing products, while new entrants and incumbents invest in external innovations to acquire new product lines. External and internal innovations generate heterogeneous innovation qualities, and firm size affects innovation incentives. We analyze how different types of innovation contribute to economic growth and the role of the firm size distribution. Our model aligns with many observed empirical regularities, and we quantify our framework with Census Bureau and patent data for US firms. Internal innovation scales moderately faster with firm size than external innovation.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Exploration and Exploitation in Organizational Learning
March, J. G. (1991) · Organization Science · doi:10.1287/orsc.2.1.71 · Cited by 21,942 · cited 1×
“On the other hand, the management literature frequently stresses organizational rigidities that inefficiently inhibit the external innovation efforts of large companies (e.g., Henderson and Clark 1990; March 1991; Henderson 1993; Christensen 1997).”
Endogenous Technological Change
Romer, P. M. (1990) · Journal of Political Economy · doi:10.1086/261725 · Cited by 17,711
“A Model of Growth: Through Creative Destruction”
Aghion, P., & Howitt, P. (1992) · Econometrica · doi:10.2307/2951599 · Cited by 7,529
Venture Capital, Entrepreneurship, and Economic Growth
Samila, S., & Sorenson, O. (2011) · Review of Economics and Statistics · doi:10.1162/rest_a_00066 · Cited by 673
Cited by
Artificial intelligence, firm growth, and product innovation
Babina, T., Fedyk, A., He, A., & Hodson, J. (2024) · Journal of Financial Economics · doi:10.1016/j.jfineco.2023.103745 · Cited by 1,460
Are Ideas Getting Harder to Find?
Bloom, N., Jones, C. I., Van Reenen, J., & Webb, M. (2020) · American Economic Review · doi:10.1257/aer.20180338 · Cited by 1,002
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
Self-citationThe End of Economic Growth? Unintended Consequences of a Declining Population
Jones, C. I. (2022) · American Economic Review · doi:10.1257/aer.20201605 · Cited by 196
Financial development and innovation-led growth: Is too much finance better?
Zhu, X., Asimakopoulos, S., & Kim, J. (2020) · Journal of International Money and Finance · doi:10.1016/j.jimonfin.2019.102083 · Cited by 173
Metadata
- Authors
- Akcigit, U., & Kerr, W. R.
- Venue
- Journal of Political Economy
- Publisher
- University of Chicago Press
- Published
- 2018-08
- Volume
- 126
- Issue
- 4
- Pages
- 1374-1443
- ISSN
- 0022-3808 (ISSN-L)
- 1537-534X
- OpenAlex
- W3124220939
- Cited by
- 570
- References
- 4
- FWCI
- 60.94
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
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.
