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Matthew effect, capabilities and innovation policy: the Argentinean case

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  • Mariano Pereira
  • Diana Suárez

Abstract

The purpose of this paper is to test the presence of Matthew effects in different types of public funding for innovation – non-refundable grants, subsidized loans and tax credits. According to the literature, Matthew effect refers to the impact of past accessing to public funds on reputation, which increases the probability of accessing in the present. The dataset is made of 966 firms that accessed the Technological Argentinean Fund (FONTAR), main instrument to foster innovation in Argentina, during 2007–2013 – 3300 observations. Results confirm the existence of Matthew effects: past accessing to FONTAR increases the probability of accessing in the present, but only when different instruments are taken altogether. Then, Matthew effect is positively associated with the diversification of access to promotional instruments rather than the repeated access to one type of funding tool. Additionally, results show that firm’s innovation investments, R&D activities, and human resources, explain the increase in probability of accessing, which provides evidence regarding the presence of capability effects. All of this suggests that once the firm enters the system of public funding, it remains with an active innovative behaviour, not just because of reputation effects, but because it has accumulated capabilities in the pursuit of a technological advantage.

Suggested Citation

  • Mariano Pereira & Diana Suárez, 2018. "Matthew effect, capabilities and innovation policy: the Argentinean case," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 27(1), pages 62-79, January.
    • Handle: RePEc:taf:ecinnt:v:27:y:2018:i:1:p:62-79
    DOI: 10.1080/10438599.2017.1294544
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    References listed on IDEAS

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    1. 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).
    2. repec:idb:brikps:62598 is not listed on IDEAS
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    Cited by:

    1. Arza,Valeria Luciana & Cirera,Xavier & Colonna,Agustina & Lopez,Emanuel, 2020. "Explaining Differences in the Returns to R&D in Argentina : The Role of Contextual Factors and Complementarities," Policy Research Working Paper Series 9219, The World Bank.
    2. Luping Shi & Zhongyao Cai & Xuhui Ding & Rong Di & Qianqian Xiao, 2020. "What Factors Affect the Level of Green Urbanization in the Yellow River Basin in the Context of New-Type Urbanization?," Sustainability, MDPI, vol. 12(6), pages 1-15, March.
    3. Perez-Alaniz, Mauricio & Lenihan, Helena & Doran, Justin & Rammer, Christian, 2024. "Subsidising innovation outside or within firms' existing knowledge base: Which is best for radical innovation?," ZEW Discussion Papers 24-007, ZEW - Leibniz Centre for European Economic Research.
    4. Jan Schnellenbach & Christian Schubert, 2019. "A note on the behavioral political economy of innovation policy," Journal of Evolutionary Economics, Springer, vol. 29(5), pages 1399-1414, November.
    5. Rodríguez-Pose, Andrés & Belso-Martinez, Jose Antonio & Díez-Vial, Isabel, 2021. "Playing the innovation subsidy game: experience, clusters, consultancy, and networking in regional innovation support," LSE Research Online Documents on Economics 111603, London School of Economics and Political Science, LSE Library.

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