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Institutional Capacity to dynamically innovate: An Application to the Portuguese Case

Author

Listed:
  • Purificacion Vicente Galindo

    (University of Salamanca, Spain, and Centro de Investigacao sobre o Espaco e as Organizacoes)

  • Teresa de Noronha Vaz

    (Centro de Investigacao sobre o Espaco e as Organizacoes, and University of the Algarve, Portugal)

  • Peter Nijkamp

    (VU University Amsterdam, The Netherlands)

Abstract

The present paper addresses the dynamics of innovation, by extending the analysis beyond a static-economic perspective. It offers a dynamic-institutional mapping of relational capacities to dynamically innovate. Its main goal is to contribute to the above-mentioned research theme by presenting a new methodology able to pinpoint different trends in the relational capacities of institutions when they are innovative. Thereby, major characteristics in the networks of innovation are identified. This investigation uses an extended set of private institutions and public organizations located in Portugal, evaluated by their WebPage contents. To this data set a new combination of multivariate statistical methods is applied to detect group performances, to compare them, and to identify gradients of capacity to dynamically innovate. The results demonstrate that this method can provide extremely useful and tailor-made information for policy evaluation at regional or national levels. See also the article in Technological Forecasting and Social Change (2011). Volume 78(1), pages 3-12.

Suggested Citation

  • Purificacion Vicente Galindo & Teresa de Noronha Vaz & Peter Nijkamp, 2011. "Institutional Capacity to dynamically innovate: An Application to the Portuguese Case," Tinbergen Institute Discussion Papers 11-107/3, Tinbergen Institute.
    • Handle: RePEc:tin:wpaper:20110107
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Mitzi Cubilla‐Montilla & Ana‐Belén Nieto‐Librero & Ma Purificación Galindo‐Villardón & Ma Purificación Vicente Galindo & Isabel‐María Garcia‐Sanchez, 2019. "Are cultural values sufficient to improve stakeholder engagement human and labour rights issues?," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 26(4), pages 938-955, July.
    2. Julio César Hernández-Sánchez & José Luis Vicente-Villardón, 2017. "Logistic biplot for nominal data," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 11(2), pages 307-326, June.
    3. Zhao, S.L. & Cacciolatti, L. & Lee, S.H. & Song, W., 2015. "Regional collaborations and indigenous innovation capabilities in China: A multivariate method for the analysis of regional innovation systems," Technological Forecasting and Social Change, Elsevier, vol. 94(C), pages 202-220.
    4. Veiga, Pedro Mota & Teixeira, Sérgio Jesus & Figueiredo, Ronnie & Fernandes, Cristina I., 2020. "Entrepreneurship, innovation and competitiveness: A public institution love triangle," Socio-Economic Planning Sciences, Elsevier, vol. 72(C).
    5. Cinthia Leonora Murillo‐Avalos & Mitzi Cubilla‐Montilla & Miguel Ángel Celestino Sánchez & Purificación Vicente‐Galindo, 2021. "What environmental social responsibility practices do large companies manage for sustainable development?," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 28(1), pages 153-168, January.

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    More about this item

    Keywords

    dynamic innovation; policy evaluation;

    JEL classification:

    • Q5 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics

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