The DOI matches its Crossref record; 104 of the 104 references it cites were found in a registry or an index.
Muppets and gazelles: political and methodological biases in entrepreneurship research
Open accessAbstract
Despite an almost universally accepted belief outside academia that entrepreneurial activity is a positive driving force in the economy, the accumulated evidence remains largely inconclusive. The paper positions the increased interest in entrepreneurship since the 1980s within its historical context and highlights the significant methodological problems with its analysis. Taking these problems into account it re-evaluates the performance of entrepreneurial firms in terms of innovation, job creation, economic growth, productivity growth, and happiness to show how both positive and negative interpretations can emerge. A pattern of increasingly positive interpretation is observed as one moves from analysis to policy. To address this bias, the paper suggests the single category ‘entrepreneurial firms’ be broken up along a continuum from the large number of economically marginal, undersized, poor performance enterprises to the small number of high performance “gazelles” that drive most positive impact on the economy. This would allow a more realistic evaluation of the impact of entrepreneurs by avoiding a composition fallacy that assigns the benefits of entrepreneurship to the average firm.
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
Capitalism, Socialism and Democracy
Fukuyama, F., & Schumpeter, J. A. (1997) · Foreign Affairs · doi:10.2307/20048211 · Cited by 15,264
The Promise of Entrepreneurship as a Field of Research
Shane, S., & Venkataraman, S. (2000) · Academy of Management Review · doi:10.5465/amr.2000.2791611 · Cited by 11,223
The Use of Knowledge in Society
HAYEK, F. (1996) · Knowledge Management and Organisational Design · doi:10.1016/b978-0-7506-9749-1.50005-3 · Cited by 6,434
Prior Knowledge and the Discovery of Entrepreneurial Opportunities
Shane, S. (2000) · Organization Science · doi:10.1287/orsc.11.4.448.14602 · Cited by 4,585
International regimes, transactions, and change: embedded liberalism in the postwar economic order
Ruggie, J. G. (1982) · International Organization · doi:10.1017/s0020818300018993 · Cited by 4,463
Understanding the small business sector
(1995) · Long Range Planning · doi:10.1016/0024-6301(95)90953-2 · Cited by 4,190
Entrepreneurship: Productive, unproductive, and destructive
Baumol, W. J. (1996) · Journal of Business Venturing · doi:10.1016/0883-9026(94)00014-x · Cited by 3,972
On the Size Distribution of Business Firms
Lucas, R. E. (1978) · The Bell Journal of Economics · doi:10.2307/3003596 · Cited by 3,236
Scale and Scope: The Dynamics of Industrial Capitalism
Leblebici, H., & Chandler, A. D. (1991) · The Academy of Management Review · doi:10.2307/258922 · Cited by 2,880
Entrepreneurial discovery and the competitive market process: an Austrian approach
(2000) · The Driving Force of the Market · doi:10.4324/9780203465974-5 · Cited by 2,879
Cited by
(2014) · Cited by 950
Looking inside the spiky bits: a critical review and conceptualisation of entrepreneurial ecosystems
Brown, R., & Mason, C. (2017) · Small Business Economics · doi:10.1007/s11187-017-9865-7 · Cited by 852
Access to finance for innovative SMEs since the financial crisis
Lee, N., Sameen, H., & Cowling, M. (2015) · Research Policy · doi:10.1016/j.respol.2014.09.008 · Cited by 616
Szerb, L., Lafuente, E., Horváth, K., & Páger, B. (2019) · Regional Studies · doi:10.1080/00343404.2018.1510481 · Cited by 198
Lehoux, P., Miller, F. A., Daudelin, G., & Denis, J.-L. (2017) · International Journal of Health Policy and Management · doi:10.15171/ijhpm.2017.11 · Cited by 74
Metadata
- Authors
- Nightingale, P., & Coad, A.
- Venue
- Industrial and Corporate Change
- Publisher
- Oxford University Press (OUP)
- Published
- 2013-12-26
- Volume
- 23
- Issue
- 1
- Pages
- 113-143
- ISSN
- 0960-6491 (ISSN-L)
- 1464-3650
- OpenAlex
- W2233323545
- Cited by
- 357
- References
- 104
- FWCI
- 59.71
- 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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Muppets and gazelles: political and methodological biases in entrepreneurship research. https://app.cochat.ai/papers/10.1093/icc/dtt057
- The paper
- Nightingale, P., & Coad, A. (2014). Muppets and gazelles: political and methodological biases in entrepreneurship research. Industrial and Corporate Change. https://doi.org/10.1093/icc/dtt057
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.