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Cluster development policy, SME’s performance, and spillovers: evidence from Brazil

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  • Lucas Figal Garone
  • Alessandro Maffioli
  • Joao Negri
  • Cesar Rodriguez
  • Gonzalo Vázquez-Baré

Abstract

This paper studies the impact of the Brazilian Arranjos Productivos Locais (APL) policy, a cluster development policy, on small and medium enterprises’ (SMEs) performance. Using firm-level data on SMEs for the years 2002–2009, this paper combines fixed effects with reweighting methods to estimate both the direct and the indirect causal effects of participating in the APL policy on employment growth, value of total exports, and likelihood of exporting. Our results show that APL policy generates a positive direct impact on the three outcomes of interest. They also show evidence of short-term negative spillovers effects on employment in the first year after the policy implementation and positive spillovers on export outcomes in the medium and long term. Thus, our findings highlight the importance of accounting for the timing and gestation periods of the effects on firm performances when assessing the impact of clusters policies. Copyright Springer Science+Business Media New York 2015

Suggested Citation

  • Lucas Figal Garone & Alessandro Maffioli & Joao Negri & Cesar Rodriguez & Gonzalo Vázquez-Baré, 2015. "Cluster development policy, SME’s performance, and spillovers: evidence from Brazil," Small Business Economics, Springer, vol. 44(4), pages 925-948, April.
  • Handle: RePEc:kap:sbusec:v:44:y:2015:i:4:p:925-948
    DOI: 10.1007/s11187-014-9620-2
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    3. David B. Audretsch & Erik E. Lehmann & Matthias Menter, 2016. "Public cluster policy and new venture creation," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 43(4), pages 357-381, December.
    4. Vlaisavljevic, Vesna & Medina, Carmen Cabello & Van Looy, Bart, 2020. "The role of policies and the contribution of cluster agency in the development of biotech open innovation ecosystem," Technological Forecasting and Social Change, Elsevier, vol. 155(C).
    5. Andrés Rodríguez-Pose & Callum Wilkie, 2018. "Strategies of gain and strategies of waste: What determines the success of development intervention?," Papers in Evolutionary Economic Geography (PEEG) 1826, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Jul 2018.
    6. Giuseppe Calignano & Rune Dahl Fitjar, 2017. "Strengthening relationships in clusters: How effective is an indirect policy measure carried out in a peripheral technology district?," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 59(1), pages 139-169, July.
    7. Sahar Moazzeni & Sobhan Mostafayi Darmian & Lars Magnus Hvattum, 2023. "Multiple criteria decision making and robust optimization to design a development plan for small and medium-sized enterprises in the east of Iran," Operational Research, Springer, vol. 23(1), pages 1-32, March.
    8. Reinhold Kosfeld & Timo Mitze, 2023. "Research and development intensive clusters and regional competitiveness," Growth and Change, Wiley Blackwell, vol. 54(4), pages 885-911, December.
    9. Madeline Smith & James R. Wilson & Emily Wise, 2020. "Evaluating clusters: Where theory collides with practice," Regional Science Policy & Practice, Wiley Blackwell, vol. 12(3), pages 413-430, June.
    10. Aboal, Diego & Crespi, Gustavo & Perera, Marcelo, 2020. "How effective are cluster development policies? Evidence from Uruguay," World Development Perspectives, Elsevier, vol. 18(C).
    11. Erik E. Lehmann & Matthias Menter, 2018. "Public cluster policy and performance," The Journal of Technology Transfer, Springer, vol. 43(3), pages 558-592, June.

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    More about this item

    Keywords

    Cluster policies; SMEs; Brazil; Impact evaluation; Spillovers; Panel data; Fixed-effects method; C23; D22; H43; L25; L26; O12; O54; R10;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • D22 - Microeconomics - - Production and Organizations - - - Firm Behavior: Empirical Analysis
    • H43 - Public Economics - - Publicly Provided Goods - - - Project Evaluation; Social Discount Rate
    • L25 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Firm Performance
    • L26 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Entrepreneurship
    • O12 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Microeconomic Analyses of Economic Development
    • O54 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Latin America; Caribbean
    • R10 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - General

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