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Impact sur l’emploi de la participation aux projets de R&D des pôles de compétitivité. Méthode et résultats

Author

Listed:
  • Magali Chaudey
  • Marion Dessertine

Abstract

?Since their creation in 2005, competitiveness clusters have been defined as a structuring instrument of French industrial policy. From the implementation of an evaluation model that is well-identified in the literature, this work proposes a quantified estimation of the clusters? effects on employment for the companies taking part in R&D projects labeled by the clusters. This observation was carried out on the basis of the construction of an original database and the mobilization of a double difference evaluation method. This article highlights the positive and significant effect of French competitiveness clusters on employment.?

Suggested Citation

  • Magali Chaudey & Marion Dessertine, 2018. "Impact sur l’emploi de la participation aux projets de R&D des pôles de compétitivité. Méthode et résultats," Revue d'économie industrielle, De Boeck Université, vol. 0(2), pages 73-98.
  • Handle: RePEc:cai:reidbu:rei_162_0073
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    References listed on IDEAS

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    1. Claire Bonnard & Jean-François Giret & Philippe Lemistre, 2015. "Création des pôles de compétitivité et salaire des ingénieurs," Revue d'économie industrielle, De Boeck Université, vol. 0(3), pages 11-36.
    2. Sylvie Chalaye & Nadine Massard, 2009. "Les clusters : Diversité des pratiques et mesures de performance," Revue d'économie industrielle, De Boeck Université, vol. 0(4), pages 153-176.
    3. repec:spo:wpecon:info:hdl:2441/c8dmi8nm4pdjkuc9g8mc0ghsn is not listed on IDEAS
    4. Dirk Engel & Timo Mitze & Roberto Patuelli & Janina Reinkowski, 2013. "Does Cluster Policy Trigger R&D Activity? Evidence from German Biotech Contests," European Planning Studies, Taylor & Francis Journals, vol. 21(11), pages 1735-1759, November.
    5. Martin, Philippe & Mayer, Thierry & Mayneris, Florian, 2011. "Public support to clusters: A firm level study of French "Local Productive Systems"," Regional Science and Urban Economics, Elsevier, vol. 41(2), pages 108-123, March.
    6. Junichi Nishimura & Hiroyuki Okamuro, 2011. "R&D productivity and the organization of cluster policy: an empirical evaluation of the Industrial Cluster Project in Japan," The Journal of Technology Transfer, Springer, vol. 36(2), pages 117-144, April.
    7. Falck, Oliver & Heblich, Stephan & Kipar, Stefan, 2010. "Industrial innovation: Direct evidence from a cluster-oriented policy," Regional Science and Urban Economics, Elsevier, vol. 40(6), pages 574-582, November.
    8. Guido W. Imbens & Jeffrey M. Wooldridge, 2009. "Recent Developments in the Econometrics of Program Evaluation," Journal of Economic Literature, American Economic Association, vol. 47(1), pages 5-86, March.
    9. Lionel Fontagné & Pamina Koenig & Florian Mayneris & Sandra Poncet, 2013. "Cluster Policies And Firm Selection: Evidence From France," Journal of Regional Science, Wiley Blackwell, vol. 53(5), pages 897-922, December.
    10. repec:hal:cesptp:hal-00975554 is not listed on IDEAS
    11. Denis Fougère & Bruno Crépon & Thomas Brodaty, 2007. "Les méthodes micro-économétriques d'évaluation et leurs applications aux politiques actives de l'emploi," Économie et Prévision, Programme National Persée, vol. 177(1), pages 93-118.
    12. Sekhon, Jasjeet S., 2011. "Multivariate and Propensity Score Matching Software with Automated Balance Optimization: The Matching package for R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 42(i07).
    13. Alessandro Muscio & Michele Scarpinato, 2007. "Employment and Wage Dynamics in Italian Industrial Districts," Regional Studies, Taylor & Francis Journals, vol. 41(6), pages 765-777.
    14. Florian Mayneris, 2011. "Évaluation des politiques de clusters : sélection, autosélection et impact," Reflets et perspectives de la vie économique, De Boeck Université, vol. 0(1), pages 109-115.
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    More about this item

    Keywords

    competitiveness cluster; employment; differences in differences;

    JEL classification:

    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • L52 - Industrial Organization - - Regulation and Industrial Policy - - - Industrial Policy; Sectoral Planning Methods
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D

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