It surveys how this term is defined in the published literature — what the sources agree on, where they diverge and what remains contested — and carries its own numbered bibliography. It does not describe what we run. Programme policy is on the core pages.
Our own use of the word is often narrower than general usage; the short definition and the boundary are in the glossary, under Ecosystem. The review date below matters, because the literature moves.
A definitional review. Citations follow IEEE style; see References.
Abstract
The entrepreneurial ecosystem is a framework for explaining why productive entrepreneurship concentrates in particular places. It travelled from a 2010 practitioner article to the policy programmes of the OECD, the World Bank, the European Commission and the World Economic Forum within roughly a decade [11]. That speed is the concept’s defining fact and its defining problem: adoption ran ahead of theory. This article sets out the definition, the lineage of the borrowed metaphor, the feature that separates the approach from adjacent regional concepts, and the criticism — made most forcefully from inside the field — that the concept is tautological, offers component lists in place of causal mechanisms, and is measured by indices whose validity is not established.
I. Definition
The most widely used academic definition characterises an entrepreneurial ecosystem as a set of interdependent actors and factors coordinated in such a way that they enable productive entrepreneurship [3].
Two terms in that definition carry weight. Productive entrepreneurship is taken from Baumol — “any entrepreneurial activity that contributes directly or indirectly to net output of the economy or to the capacity to produce additional output” — which is narrower than self-employment or small business [3]. Interdependent is the systemic claim: the elements are held to matter through their interaction, not individually.
Both the earlier practitioner formulation and the later academic one agree that the components are insufficient in isolation. Isenberg’s 2010 statement is explicit: the ecosystem “consists of a set of individual elements — such as leadership, culture, capital markets, and open-minded customers — that combine in complex ways. In isolation, each is conducive to entrepreneurship but insufficient to sustain it. That’s where many governmental efforts go wrong — they address only one or two elements” [1].
II. Origins
A. The 2010 practitioner article
The concept’s popular origin is Daniel Isenberg’s Harvard Business Review piece of June 2010, written from the Babson Entrepreneurship Ecosystem Project [1]. It is addressed to governments, not to researchers, and offers nine prescriptions: stop emulating Silicon Valley; shape the ecosystem around local conditions; engage the private sector from the start; favour the high potentials; get a big win on the board; tackle cultural change head-on; stress the roots; don’t overengineer clusters, help them grow organically; and reform legal, bureaucratic and regulatory frameworks [1]. The article’s stated position is that “there’s no exact formula for creating an entrepreneurial economy; there are only practical, if imperfect, road maps” [1].
The six-domain model — policy, finance, culture, support, human capital and markets — that is usually reproduced as “Isenberg’s framework” comes from a subsequent 2011 publication, not from the 2010 article; both Stam [3] and Stam and van de Ven [7] attribute the six domains to that later source. This review has not read the 2011 source; the attribution is reported as recorded in [3] and [7].
Two adjacent practitioner lists circulate alongside it: Feld’s nine attributes of a successful start-up community (leadership, intermediaries, network density, government, talent, support services, engagement, companies, capital) [4] and the World Economic Forum’s eight pillars (accessible markets, human capital, funding and finance, support systems and mentors, government and regulatory framework, education and training, major universities as catalysts, cultural support) [3]. Both are cited here as reproduced verbatim in Stam’s tables [3]; the originals have not been read.
B. The metaphor is borrowed, and knowingly so
“Ecosystem” is taken from ecology, where it was defined as “a biotic community, its physical environment, and all the interactions possible in the complex of living and nonliving components” [6], [7]. The transfer into organisational analysis runs through community ecology, from which three features were carried over: co-evolution, mutualistic interdependence, and a complex nested system of diverse organisations and actors [7].
The literature is candid that the biology is not to be taken literally. Stam states that the biological interpretation “is obviously not to be taken too literally within the context of entrepreneurial ecosystems”; what the metaphor is doing is emphasising that entrepreneurship takes place in a community of interdependent actors [3]. Critics have gone further and called it a “messy metaphor”, open to wide-ranging misinterpretation and misuse by policymakers [10] (abstract verified only).
The looseness is measurable. A systematic review of 181 empirical ecosystem studies found that a substantial part of the literature “merely utilizes the concept in a metaphorical way… in name only without appropriately recognizing the fundamental interdependencies between the constituent elements”; the reviewers excluded 54 further articles that used the term purely as a label and 68 that engaged with it only trivially [11].
III. What distinguishes it
The entrepreneurial ecosystem shares its subject — the external business environment — with clusters, industrial districts, innovation systems and learning regions. Two features separate it [3]:
- The entrepreneur, rather than the enterprise, is the focal point. The approach begins with the entrepreneurial individual and works outward to context, where the innovation-system approach leaves the entrepreneur as a black box.
- Entrepreneurs are treated as builders of the system, not only as its output. This is the distinctive move. It implies a reduced role for government — a “feeder” of the ecosystem rather than its “leader” — and it means market failure and system failure are not automatically rationales for state intervention, since entrepreneurs may themselves resolve information asymmetries and organise collective action [3].
A related framing holds that to be an effective theoretical construct, ecosystems “need to be more than a label for regions with high rates of entrepreneurship” — theory must address the internal attributes and how their configurations reproduce the system, which separates the outcome of a successful ecosystem from the processes that create it [8].
IV. The central criticism: under-theorisation
The field’s own reviews are unusually blunt. Ecosystems research is “under-developed and under-theorized”; the concept “represent[s] more of a conceptual umbrella encompassing a variety of different perspectives on the geography of entrepreneurship rather than a coherent theory” [8]. A later stocktaking calls the concept “a paradox”: drawing on a rich intellectual history while remaining “under-theorized”, with the mechanisms governing ecosystem evolution “not well understood” [9] (abstract verified only).
A. The tautology
The most frequently repeated criticism is stated identically in two sources six years apart:
The phenomenon at first appears rather tautological: entrepreneurial ecosystems are systems that produce successful entrepreneurship, and where there is a lot of successful entrepreneurship, there is apparently a good entrepreneurial ecosystem. Such tautological reasoning ultimately offers little insight for research or public policy. [3], [7]
The circularity has a methodological source: much ecosystem work is built from case studies of regions already known to be successful, which guarantees that the elements observed will be the elements present where entrepreneurship succeeded. Stam’s own position is that the tautology is not permanent — “after more elaboration, the tautology will probably disappear” [3] — but that elaboration is precisely what the field has been slow to supply.
B. Laundry lists in place of mechanisms
The second criticism is that the approach “provides only laundry lists of relevant factors without clear reasoning of their cause and effect, nor how they are tied to specific place-based histories” [7]. The factors give focus but “offer no consistent explanation of their coherence or their interdependent effects on entrepreneurship — and, ultimately, on aggregate welfare” [3].
The distinction Stam draws is between proximate and fundamental causes. When the World Economic Forum concluded that access to markets, human capital and finance matter most, these “can best be seen as proximate causes, not as the fundamental causes for the success of ecosystems”, because human capital and finance are themselves largely dependent on underlying educational and financial institutions [3], [7]. Of Isenberg’s nine prescriptions specifically, Stam observes: “It is unclear how the causal mechanisms work to realize these different results” [3].
C. Level of analysis
Third, “it is not clear which level of analysis this approach is targeting. Geographically, it could be a city, a region or a country. It can also be other systems, less strictly defined in space, such as sectors or corporations” [3]. The problem is not merely definitional: if the boundary of the unit is unfixed, neither the elements nor the outputs can be consistently measured.
D. The critique consolidated
A widely cited review enumerates five shortcomings of the entrepreneurial ecosystem literature: it lacks a clear analytical framework making explicit what is cause and what is effect; being a systemic concept, it has not fully exploited network theory and is unclear about how the proposed elements are connected; it remains a challenge which institutions, at which spatial scale, affect structure and performance; studies focus on single regions or clusters and lack a comparative and multi-scalar perspective; and the literature “tends to provide a static framework taking a snapshot of EE without considering systematically their evolution over time” [5] (abstract verified only).
E. The corrective frameworks
Two responses attempt to supply the missing causal architecture.
Stam’s synthesis separates four ontological layers — framework conditions, systemic conditions, outputs and outcomes — with upward causation, downward causation and intra-layer relations [3]. Framework conditions are the formal and informal institutions, the physical environment and access to demand; systemic conditions are “the heart of the ecosystem: networks of entrepreneurs, leadership, finance, talent, knowledge, and support services”; entrepreneurial activity is the intermediate output; new value creation in society is the outcome [3]. The output/outcome split is the part that does the anti-tautological work, because it stops the presence of entrepreneurship from being both the definition of a good ecosystem and its result.
Spigel’s alternative organises ecosystems into ten cultural, social and material attributes — cultural attitudes and histories of entrepreneurship; networks, investment capital, mentors and dealmakers, and worker talent; universities, support services and facilities, policy and governance, and open markets — and argues that it is the relationships between attributes that reproduce the ecosystem [8]. His case studies of Waterloo and Calgary are used to demonstrate that ecosystems take multiple viable configurations rather than one [8].
F. Measurement and indices
Operationalisation followed the frameworks. Stam and van de Ven built a ten-element measurement instrument and an entrepreneurial ecosystem index for Dutch regions, finding that “the prevalence of high-growth firms in a region is strongly related to the quality of its entrepreneurial ecosystem” and that the elements correlate strongly with one another [7]. A later exercise extended the approach to 273 European regions, while stating the underlying problem plainly: “there is a scarcity of credible, accurate and comparable metrics of entrepreneurial ecosystems… a severe shortcoming for both scientific progress and successful policy” [12] (abstract verified only).
Two cautions belong beside those results. First, the strong element-to-element correlations that are read as confirming the systemic nature of ecosystems are equally consistent with the elements sharing common regional causes; the index results are correlational and the frameworks themselves posit downward causation from outputs back onto conditions [3], [7]. Second, an independent test designed to let the ecosystem “reveal itself in the data” — a multilevel growth regression with latent class analysis across 107 European NUTS1-2 regions in 16 member states — reported a negative result: “we cannot reject the hypothesis of a homogeneous contribution of entrepreneurship to economic growth”, finding “no evidence of statistically significant heterogeneity in the estimated slope coefficients for entrepreneurial activity across regions” [13]. The authors offer plausible explanations — spatial units too coarse, a crisis-affected period, measurement error — but the finding stands as the clearest published instance of the ecosystem failing to appear where the theory predicts it.
G. The policy-transfer problem
The best-known prescription in the entire literature is Isenberg’s first: stop emulating Silicon Valley [1]. His stated reasons are that Silicon Valley “could not become itself today if it tried” — its evolution depended on a local aerospace industry, an open regional culture, particular university–industry relationships, a specific lineage of semiconductor invention, immigration policy and “pure luck”, a chaotic combination that “defies definitive determination of cause and effect”; that it rests on an overabundance of technology requiring “a massive, generation-long investment in education”; and that it functions less as a breeder of local ventures than as a magnet for ready-made entrepreneurs, an “industry of transplants” [1]. His second prescription follows from the first: leaders “can and must foster homegrown solutions — ones based on the realities of their own circumstances” [1].
The academic literature reports that the warning is routinely ignored. The under-theorised state of the field “fosters a tendency amongst policymakers to import best practices from thriving ecosystems without regard to the underlying local economic and cultural attributes on which their success depends” [8]. The first comprehensive empirical analysis of ecosystem policy concluded the concept is “predominantly (and rather crudely) used to promote ‘more’ entrepreneurship” and identified “avoiding crude policy isomorphism and tailoring bespoke interventions to the specific nature of EEs” as key lessons [10] (abstract verified only). A research manifesto adds that a better understanding is needed of “the diversity of policy contexts (level of government, country context)” and “the extent to which specific policies can be replicated elsewhere” [14] (abstract verified only).
This bears directly on lower-income and post-conflict settings. The empirical base is dominated by high-income regions, the models are induced from them, and the reviewed evidence indicates that in emerging economies the gap between productive and unproductive entrepreneurship is driven by market uncertainty and the perception of political entrepreneurship and corruption — an institutional mechanism largely absent from the frameworks derived elsewhere — while “dedicated entrepreneurship policies need to be complemented by and harmonised with other policies, including taxation, social and educational policies” [11]. Isenberg’s own examples were drawn from Rwanda, Chile, Iceland and Taiwan rather than from California, and his conclusion from them was that resource scarcity often stimulates rather than blocks entrepreneurial resourcefulness [1] — a reading rarely carried over into the templates built on his name.
V. Scope of adoption
The concept was adopted by the United Nations Conference on Trade and Development, the World Economic Forum, the OECD, the European Commission, the Kauffman Foundation and the World Bank, and by commercial ecosystem-ranking organisations; half of the ten most-cited entrepreneurship papers of a recent five-year period were on entrepreneurial ecosystems [11]. The consequence is recorded without euphemism in the same source: “This policy excitement led to a situation where research is led by policy rather than policy being guided by rigorous academic research” [11].
VI. Limitations
Four limits bear on any claim made using this framework.
The concept does not yet establish causation. Its own reviews describe it as under-theorised, with the mechanisms of ecosystem evolution not well understood [8], [9], and with no framework making explicit what is cause and what is effect [5]. Element indices predict entrepreneurial output, but predicting is not explaining, and the frameworks themselves posit feedback from outputs onto the elements [3], [7].
The tautology is not fully dissolved. Where an ecosystem is identified by the presence of successful entrepreneurship, its explanatory value for that same entrepreneurship is circular [3], [7]. Stam’s output/outcome separation is a remedy in principle; whether applied work observes it is a separate question, and a large share of empirical studies uses the term metaphorically rather than systemically [11].
Presence of the components is not evidence of a working system. The framework’s own logic is that elements matter through interaction [1], [3], [8]; an inventory of universities, mentors, capital and events therefore does not establish that an ecosystem exists. The one study designed to detect ecosystem heterogeneity in growth data did not find it [13].
Prescriptions do not travel. The literature’s foundational advice is against emulation [1], and its empirical reviews find policy isomorphism to be the observed practice [8], [10]. Since the model is induced predominantly from high-income, high-density regions with institutional conditions the frameworks largely hold constant, its transfer to different institutional contexts is an untested assumption rather than an established one [5], [11], [14].
References
[1] D. J. Isenberg, “The Big Idea: How to Start an Entrepreneurial Revolution,” Harvard Business Review, vol. 88, no. 6, Jun. 2010, Reprint R1006A.
[2] D. J. Isenberg, “Introducing the Entrepreneurship Ecosystem: Four Defining Characteristics,” Forbes, May 25, 2011. (Not read for this review; the six domains are cited as attributed in [3] and [7].)
[3] E. Stam, “Entrepreneurial Ecosystems and Regional Policy: A Sympathetic Critique,” European Planning Studies, vol. 23, no. 9, pp. 1759–1769, 2015, doi: 10.1080/09654313.2015.1061484. (Read in the Utrecht School of Economics Discussion Paper 15-07 version, June 2015, marked “Forthcoming in European Planning Studies”.)
[4] B. Feld, Startup Communities: Building an Entrepreneurial Ecosystem in Your City. New York, NY, USA: Wiley, 2012. (Not read; the nine attributes are cited as reproduced in [3], Table 1, from pp. 186–187.)
[5] J. Alvedalen and R. Boschma, “A critical review of entrepreneurial ecosystems research: towards a future research agenda,” European Planning Studies, vol. 25, no. 6, pp. 887–903, 2017, doi: 10.1080/09654313.2017.1299694. (Abstract verified only.)
[6] A. G. Tansley, “The Use and Abuse of Vegetational Concepts and Terms,” Ecology, vol. 16, pp. 284–307, 1935. (Not read; the definition is quoted as given in [7].)
[7] E. Stam and A. van de Ven, “Entrepreneurial ecosystem elements,” Small Business Economics, vol. 56, no. 2, pp. 809–832, 2021, doi: 10.1007/s11187-019-00270-6.
[8] B. Spigel, “The Relational Organization of Entrepreneurial Ecosystems,” Entrepreneurship Theory and Practice, vol. 41, no. 1, pp. 49–72, 2017, doi: 10.1111/etap.12167. (Read in the accepted manuscript deposited in the Edinburgh Research Explorer.)
[9] B. Wurth, E. Stam, and B. Spigel, “Toward an Entrepreneurial Ecosystem Research Program,” Entrepreneurship Theory and Practice, vol. 46, no. 3, pp. 729–778, 2021, doi: 10.1177/1042258721998948. (Abstract verified only.)
[10] R. Brown and S. Mawson, “Entrepreneurial ecosystems and public policy in action: a critique of the latest industrial policy blockbuster,” Cambridge Journal of Regions, Economy and Society, vol. 12, no. 3, pp. 347–368, 2019, doi: 10.1093/cjres/rsz011. (Abstract verified only.)
[11] B. Wurth, E. Stam, and B. Spigel, “Entrepreneurial Ecosystem Mechanisms,” Foundations and Trends in Entrepreneurship, vol. 19, no. 3, pp. 224–339, 2023, doi: 10.1561/0300000089.
[12] J. Leendertse, M. Schrijvers, and E. Stam, “Measure Twice, Cut Once: Entrepreneurial Ecosystem Metrics,” Research Policy, vol. 51, no. 9, 104336, 2022, doi: 10.1016/j.respol.2021.104336. (Abstract verified only.)
[13] K. Bruns, N. Bosma, M. Sanders, and M. Schramm, “Searching for the existence of entrepreneurial ecosystems: a regional cross-section growth regression approach,” Small Business Economics, vol. 49, no. 1, pp. 31–54, 2017, doi: 10.1007/s11187-017-9866-6.
[14] B. Spigel, F. Kitagawa, and C. Mason, “A manifesto for researching entrepreneurial ecosystems,” Local Economy, vol. 35, no. 5, pp. 482–495, 2020, doi: 10.1177/0269094220959052. (Abstract verified only.)