IDEAS home Printed from https://ideas.repec.org/p/hhs/lucirc/2014_010.html
   My bibliography  Save this paper

Evaluating the Impact of Cluster Development Programs

Author

Listed:
  • Giuliani, Elisa

    () (Department of Economics and Management, University of Pisa; CIRCLE, Lund University)

  • Maffioli, Alessandro

    (Inter-American Development Bank)

  • Pacheco, Manuel

    (Inter-American Development Bank)

  • Pietrobelli, Carlo

    (Inter-American Development Bank)

  • Stucchi, Rodolfo

    (Inter-American Development Bank)

Abstract

Do the programs that aim to promote and develop industry clusters (also known as Cluster Development Programs, or CDP) work? Do they have an impact on enterprise development? This paper offers an insight into the methods that can help answer these fundamental questions through solid quantitative evidence. In general, results will depend on the level of coordination that is achieved and on the actions undertaken as a result of improved coordination and strategy-setting of the relevant actors. The techniques of Social Network Analysis (SNA) can be employed to assess the evolution of coordination among cluster actors, with the requirement that network indicators are observed before and after the implementation of the CDPs. While this particular analysis can assist in monitoring and assessing the process of coordination and its changes throughout the program, other qualitative and contextual information can also assist in interpreting the data and, thus, increase the reliability of results. However, in order to properly assess the impact of CDPs, their causality needs to be explored further by the application of additional quantitative methods. In fact, the effects cannot be attributed to the program itself, unless a proper counterfactual is built in, such as what would have happened to the beneficiaries in the absence of the program. By definition, this particular counterfactual cannot be observed, but the application of experimental and quasi-experimental techniques can help construct control groups of non-beneficiaries to approximate the counterfactual and assess the evidence with econometric techniques. Furthermore, a detailed observation of cases and specific interviews can help regarding the interpretation of results derived from these methods. The quantitative tools discussed herein are indeed complementary and not alternatives, with each applied as a means to strengthen the explanatory capacity of the other. Each tool requires specific and challenging data analysis that can be achieved with careful resource planning and the appropriate team skill set. The overarching objective is to build new and solid evidence on the effectiveness of CPDs and their respective policies.

Suggested Citation

  • Giuliani, Elisa & Maffioli, Alessandro & Pacheco, Manuel & Pietrobelli, Carlo & Stucchi, Rodolfo, 2014. "Evaluating the Impact of Cluster Development Programs," Papers in Innovation Studies 2014/10, Lund University, CIRCLE - Center for Innovation, Research and Competences in the Learning Economy.
  • Handle: RePEc:hhs:lucirc:2014_010
    as

    Download full text from publisher

    File URL: http://wp.circle.lu.se/upload/CIRCLE/workingpapers/201410_Giuliani_et_al.pdf
    Download Restriction: no

    References listed on IDEAS

    as
    1. José Miguel Benavente & Gustavo Crespi & Alessandro Maffioli, 2007. "Public Support to Firm-Level Innovation: An Evaluation of the FONTEC Program," OVE Working Papers 0507, Inter-American Development Bank, Office of Evaluation and Oversight (OVE).
    2. Gustavo A. Crespi & Alessandro Maffioli & Pierre Mohnen & Gonzalo Vázquez, 2011. "Evaluating the Impact of Science, Technology and Innovation Programs: a Methodological Toolkit," SPD Working Papers 1104, Inter-American Development Bank, Office of Strategic Planning and Development Effectiveness (SPD).
    3. Eslava, Marcela & Haltiwanger, John & Kugler, Adriana & Kugler, Maurice, 2004. "The effects of structural reforms on productivity and profitability enhancing reallocation: evidence from Colombia," Journal of Development Economics, Elsevier, vol. 75(2), pages 333-371, December.
    4. Crepon, B. & Duguet, E. & Mairesse, J., 1998. "Research Investment, Innovation and Productivity: An Econometric Analysis at the Firm Level," Papiers d'Economie Mathématique et Applications 98.15, Université Panthéon-Sorbonne (Paris 1).
    5. Feldman, Maryann P. & Audretsch, David B., 1999. "Innovation in cities:: Science-based diversity, specialization and localized competition," European Economic Review, Elsevier, vol. 43(2), pages 409-429, February.
    6. Manuela Angelucci & Vincenzo Di Maro, 2010. "Program Evaluation and Spillover Effects," SPD Working Papers 1003, Inter-American Development Bank, Office of Strategic Planning and Development Effectiveness (SPD).
    7. Ellison, Glenn & Glaeser, Edward L, 1997. "Geographic Concentration in U.S. Manufacturing Industries: A Dartboard Approach," Journal of Political Economy, University of Chicago Press, vol. 105(5), pages 889-927, October.
    8. Eslava, Marcela & Haltiwanger, John & Kugler, Adriana & Kugler, Maurice, 2004. "The effects of structural reforms on productivity and profitabality enhancing reallocation: evidence from Colombia," Discussion Paper Series In Economics And Econometrics 0408, Economics Division, School of Social Sciences, University of Southampton.
    9. Victoria Castillo & Alessandro Maffioli & Sofía Rojo & Rodolfo Stucchi, 2014. "The effect of innovation policy on SMEs’ employment and wages in Argentina," Small Business Economics, Springer, vol. 42(2), pages 387-406, February.
    10. repec:idb:brikps:62598 is not listed on IDEAS
    11. Irani Arráiz & Marcela Meléndez Arjona & Rodolfo Stucchi, 2012. "Partial Credit Guarantees and Firm Performance: Evidence from the Colombian National Guarantee Fund," IDB Publications (Working Papers) 4089, Inter-American Development Bank.
    12. Daniel Chudnovsky & Andrés López & Martín Rossi & Diego Ubfal, 2006. "Evaluating A Program of Public Funding of Private Innovation Activities. An Econometric Study of FONTAR in Argentina," OVE Working Papers 1606, Inter-American Development Bank, Office of Evaluation and Oversight (OVE).
    13. Sanghamitra Das & Mark J. Roberts & James R. Tybout, 2007. "Market Entry Costs, Producer Heterogeneity, and Export Dynamics," Econometrica, Econometric Society, vol. 75(3), pages 837-873, May.
    14. Mark Doms & Eric J. Bartelsman, 2000. "Understanding Productivity: Lessons from Longitudinal Microdata," Journal of Economic Literature, American Economic Association, vol. 38(3), pages 569-594, September.
    15. Bruno Crepon & Emmanuel Duguet & Jacques Mairesse, 1998. "Research, Innovation And Productivity: An Econometric Analysis At The Firm Level," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 7(2), pages 115-158.
    16. João Alberto De Negri & Mauro Borges Lemos & Fernanda De Negri, 2006. "Impact of P&D Incentive Program on the Performance and Technological Efforts of Brazilian Industrial Firms," OVE Working Papers 1406, Inter-American Development Bank, Office of Evaluation and Oversight (OVE).
    17. repec:crs:wpaper:9833 is not listed on IDEAS
    18. Irani Arráiz & Francisca Henríquez & Rodolfo Stucchi, 2013. "Supplier development programs and firm performance: evidence from Chile," Small Business Economics, Springer, vol. 41(1), pages 277-293, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Markov, L. & Petukhova, M. & Ivanova, K., 2015. "The Cluster Policy Organizational Structures," Journal of the New Economic Association, New Economic Association, vol. 27(3), pages 140-162.
    2. Honeck, Dale & Akhtar, Md. Shoaib, 2014. "Achieving Bangladesh's tourism potential: Linkages to export diversification, employment generation and the "green economy"," WTO Staff Working Papers ERSD-2014-15, World Trade Organization (WTO), Economic Research and Statistics Division.

    More about this item

    Keywords

    cluster development programs; policy evaluation; social network analysis;

    JEL classification:

    • O22 - Economic Development, Innovation, Technological Change, and Growth - - Development Planning and Policy - - - Project Analysis
    • O25 - Economic Development, Innovation, Technological Change, and Growth - - Development Planning and Policy - - - Industrial Policy
    • O29 - Economic Development, Innovation, Technological Change, and Growth - - Development Planning and Policy - - - Other
    • Z13 - Other Special Topics - - Cultural Economics - - - Economic Sociology; Economic Anthropology; Language; Social and Economic Stratification

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hhs:lucirc:2014_010. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Torben Schubert). General contact details of provider: http://edirc.repec.org/data/circlse.html .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.