L’impact de la participation aux pôles de compétitivité sur les PME et les ETI

Bellégo, Christophe; Dortet‐Bernadet, Vincent

doi:10.3406/estat.2014.10482

Cited by 22 publications

(10 citation statements)

References 10 publications

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“…Establishing the extent to which the policy had an additional impact would require an appropriate ex post evaluation, possibly including a counterfactual analysis (see, for instance, Bellégo and Dortet-Bernadet, 2014).…”

Section: The Behaviour Of Innovation Poles In Relation To Their Perfomentioning

confidence: 99%

“…In order to capture the actual contribution of the innovation poles to the changes in the behaviours of the beneficiary firms, outcomes can be evaluated not only descriptively but also causally through the counterfactual tools of the socalled econometrics of programme evaluation (Imbens and Rubin, 2015). While the application of these tools to the field of the evaluation of intermediaries' performance is still in its infancy, they are gaining ground as a tool for the evaluation of innovation policy (see, for instance, Bellégo and Dortet, 2014;Innovate UK, 2017). Compared to the indicators that were actually used in the policy programme under analysis, these indicators include a mix of output and outcome, short-and longerterm indicators, which are purposefully aligned with the policy's objectives.…”

Section: Towards a Better Approach To Evaluating The Performance Of Imentioning

confidence: 99%

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Innovation intermediaries and performance-based incentives: A case study of regional innovation poles

Russo

Caloffi

Rossi

et al. 2018

Science and Public Policy

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A growing number of innovation policies rely on publicly funded innovation intermediaries to provide knowledge-intensive services to firms, particularly small and medium-sized ones. The performance of innovation intermediaries is often assessed using indicators that need to be closely aligned with policy objectives to be effective. However, this alignment is difficult to achieve and is often overlooked in practice. We analyse the relationship between performance indicators and the behaviour of intermediaries by examining a case study of innovation intermediaries funded with public resources in Tuscany (Italy). The intermediaries implemented actions that allowed them to achieve their performance targets rapidly. However, due to a misalignment between indicators and policy objectives, these actions were not entirely consistent with the latter. After reviewing the literature on this key issue, we build on our findings to suggest how to design performance indicators that can induce intermediaries to more effectively support the achievement of policy objectives.

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Section: The Behaviour Of Innovation Poles In Relation To Their Perfomentioning

confidence: 99%

Section: Towards a Better Approach To Evaluating The Performance Of Imentioning

confidence: 99%

Innovation intermediaries and performance-based incentives: A case study of regional innovation poles

Russo

Caloffi

Rossi

et al. 2018

Science and Public Policy

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show abstract

“…v It should be noted that in France, cluster members are actually firms' establishments where an "establishment" is defined as an independent production unit, physically located, but legally dependant of a firm. Several evaluations of the French cluster policy have been carried out by considering firms as treated units (Technopolis group et al, 2012;Fontagné et al, 2013;Bellégo and Dortet-Bernadet, 2014;Ben Hassine and Mathieu, 2017). Such evaluations could lead to inconsistent results, particularly when only some firms' establishments are cluster members while most of them are not.…”

Section: Discussionmentioning

confidence: 99%

Assessing the collaboration and network additionality of innovation policies: a counterfactual approach to the French cluster policy

N’Ghauran

Autant‐Bernard²

2021

Industrial and Corporate Change

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Whereas most collaboration-based innovation policies aim at fostering efficient ecosystems of innovation, evaluations of the behavioral impact of such policies remain few and far between. Relying on external-to-the-policy network data to build a counterfactual approach, this article addresses three main evaluation issues: do cluster policies make firms more collaborative? Do they encourage local ties? Do they induce network additionality? Focusing on French data, our results suggest that cluster policies may have difficulty in increasing the centrality of agents within knowledge networks.

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“…Although clusters are regarded as important instruments to strengthen regional innovation networks, most evaluations of cluster policies are focused on market failures (Falck et al, 2010;Nishimura et Okamuro, 2011a;Bellégo and Dortet-Bernadet, 2014;Brossard et Moussa, 2014;Braune et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

“…Looking at the input and output additionality of cluster policies, and more broadly of innovation network policies, is the most common form of evaluation undertaken in the literature (Sakakibara, 1997;Branstetter and Sakakibara, 2002;Hottenroot and Lopes-Bento, 2014;Bellégo and Dortet-Bernadet, 2014;Brossard et Moussa, 2014;Braune et al, 2016). This kind of assessment essentially consists in estimating additional inputs (primarily R&D expenditure and human capital) and comparing the outputs (economic growth, productivity, patents, etc.)…”

Section: Introductionmentioning

confidence: 99%

Effects of Cluster Policies on Regional Innovation Networks: Evidence From France

N’Ghauran¹,

Autant‐Bernard²

2020

SSRN Journal

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Despite the growing body of literature evaluating cluster policies, it still remains difficult to establish conclusively their structural effects on regional innovation networks. Focusing on the French cluster policy during the period 2005-2010, this study aims at evaluating how cluster policies influence the structure of local innovation networks following network topologies that may be beneficial for regional innovation. Based on a panel data of four periods and 94 NUTS3 French regions, we estimate spatial Durbin models, allowing us to identify direct, indirect and total effects of cluster policies. The results suggest that cluster policies can result in both positive and negative total effects on the structure of local innovation networks depending on regions' technological specialisation. Beyond the heterogeneous effects, the results also highlight that cluster policies may lead to a regional competition for the strengthening of innovation networks. This finding echoed previous research pointing out the possible 'beggar-thy-neighbour' effects of cluster policies.

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L’impact de la participation aux pôles de compétitivité sur les PME et les ETI

Cited by 22 publications

References 10 publications

Innovation intermediaries and performance-based incentives: A case study of regional innovation poles

Innovation intermediaries and performance-based incentives: A case study of regional innovation poles

Assessing the collaboration and network additionality of innovation policies: a counterfactual approach to the French cluster policy

Effects of Cluster Policies on Regional Innovation Networks: Evidence From France

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