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Eficiencia innovadora en el sector servicios: el caso de Uruguay

  • Juan Gabriel Brida [1] ; Valentina Ladós [1] ; Gabriela Sicilia [2]
    1. [1] Universidad de la República

      Universidad de la República

      Uruguay

    2. [2] Universidad Autónoma de Madrid

      Universidad Autónoma de Madrid

      Madrid, España

  • Localización: Revista de métodos cuantitativos para la economía y la empresa, ISSN-e 1886-516X, Vol. 31, 2021, págs. 240-258
  • Idioma: español
  • DOI: 10.46661/revmetodoscuanteconempresa.3945
  • Títulos paralelos:
    • Innovative efficiency in the service sector: the case of Uruguay
  • Enlaces
  • Resumen
    • español

      Este estudio analiza la eficiencia técnica en términos de innovación de las empresas del sector servicios en la economía uruguaya. Para ello, se utilizan los datos provenientes de la Encuesta de Actividades de Innovación 2010-2012 de la Agencia Nacional de Investigación e Innovación (ANII). En una primera etapa, se estima el nivel de eficiencia de cada empresa mediante un modelo de Análisis Envolvente de Datos, incorporando los inputs y outputs relacionados con la actividad innovadora de las empresas. Los resultados revelan que, a pesar de los esfuerzos realizados en materia de inversión en innovación, los resultados son aún muy pobres. En promedio, las empresas analizadas podrían aumentar su producción en materia de innovación en un 44,5% dado los recursos invertidos. Posteriormente, se explora la relación entre la eficiencia innovadora y diversas características de las firmas. En este sentido, se encuentra que las empresas medianas presentan menor eficiencia que las pequeñas y grandes. Asimismo, las empresas que no solicitaron apoyo estatal para financiar las actividades de innovación muestran un mayor nivel de eficiencia que aquellas que sí solicitaron. Los resultados pueden ser de interés tanto para los responsables del área de innovación de las empresas, como para las instituciones que brindan apoyo en materia de innovación (como la ANII), ya que aportan evidencia sustantiva para mejorar la orientación de la estrategia innovadora a seguir por las empresas del sector servicios.

    • English

      This study analyse the technical efficiency in terms of innovation of the firms in the service sector in the Uruguayan economy. Therefore, we use data from the 2010-2012 Innovation Activities Survey of the National Agency for Research and Innovation (ANII). In a first stage, we estimate the level of efficiency of each company through a Data Envelopment Analysis model, incorporating the inputs and outputs related to the innovative activity of the firms. The results reveal that, despite the effort made in terms of investment in innovation, the results are still very poor. On average, the companies analysed could increase their innovation production by 44.5% given the resources invested. Subsequently, we explore the relationship between innovative efficiency and several characteristics of the firms. In this sense, we found that medium-sized firms have lower efficiency than small and large companies. The results can be useful for both those responsible for the area of innovation of the firms, as well as to the institutions that provide support in the field of innovation (such as the ANII), since they provide substantive evidence to improve the orientation of the innovative strategy to be followed by firms in the service sector.

  • Referencias bibliográficas
    • Aboal, D., & Garda, P. (2016). Technological and non-technological innovation and productivity in services vis-à-vis manufacturing sectors....
    • Aboal, D., Garda, P., Lanzilotta, B., & Perera, M. (2015a). Does Innovation Destroy Employment in the Services Sector? Evidence from a...
    • Aboal, D., Angelelli, P., Crespi, G., López, A., Vairo, M., & Pereschi, F. (2015b). Innovación en Uruguay: diagnóstico y propuestas de...
    • Ahuja, G. (2000). Collaboration networks, structural holes, and innovation: A longitudinal study. Administrative Science Quarterly, 45(3),...
    • Álvarez, R., & Crespi, G. (2003). Determinants of technical efficiency in small firms. Small Business Economics, 20(3), 233-244.
    • ANII (2015). V Encuesta de Actividades de Innovación en la Industria manufacturera y Servicios Seleccionados 2010-2012. Colección Indicadores...
    • Bae, Y., & Chang, H. (2012). Efficiency and effectiveness between open and closed innovation: empirical evidence in South Korean manufacturers....
    • Banker, R. D., Charnes, A., & Cooper, W. W. (1984). Some models for estimating technical and scale inefficiencies in data envelopment...
    • Cassoni, A., & Ramada-Sarasola, M. (2010). Innovation, R&D investment and productivity: Uruguayan manufacturing firms. Available at...
    • Charnes, A., Cooper, W.W., & Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research,...
    • Charnes, A., Cooper, W.W., & Rhodes, E. (1981). Evaluating program and managerial efficiency: an application of data envelopment analysis...
    • Chataway, J., Hanlin, R., & Kaplinsky, R. (2014). Inclusive innovation: an architecture for policy development. Innovation and Development,...
    • Coelli, T.J., Rao, D.S.P., O'Donnell, C. J., & Battese, G.E. (2005). An introduction to efficiency and productivity analysis. New...
    • Crépon, B., Duguet, E., & Mairessec, J. (1998). Research, Innovation And Productivity: An Econometric Analysis At The Firm Level. Economics...
    • Crespi, G., & Zuñiga, P. (2012). Innovation and productivity: evidence from six Latin American countries. World Development, 40(2), 273-290.
    • Díaz-Balteiro, L., Herruzo, A.C., Martínez, M., & González-Pachón, J. (2006). An analysis of productive efficiency and innovation activity...
    • Dutrénit, G., De Fuentes, C., Santiago, F., Torres, A., & Gras, N. (2013). Innovation and productivity in the service sector: The case...
    • Emrouznejad, A., & Yang, G.L. (2018). A survey and analysis of the first 40 years of scholarly literature in DEA: 1978-2016. Socio-Economic...
    • Farrell, M.J. (1957). The measurement of productive efficiency. Journal of the Royal Statistical Society. Series A (General), 120(3), 253-290.
    • Gijbels, I., Mammen, E., Park, B.U., & Simar, L. (1999). On estimation of monotone and concave frontier functions. Journal of the American...
    • Griliches, Z. (1973). Research expenditures and growth accounting. In Science and technology in economic growth (pp. 59-95). UK: Palgrave...
    • Khoshnevis, P., & Teirlinck, P. (2017). Performance evaluation of R&D active firms. Socio-Economic Planning Sciences, 61, 16-28.
    • Kneip, A., Park, B.U., & Simar, L. (1998). A note on the convergence of nonparametric DEA estimators for production efficiency scores....
    • Kneip, A., Simar, L., & Wilson, P.W. (2008). Asymptotics and consistent bootstraps for DEA estimators in nonparametric frontier models....
    • Kneip, A., Simar, L., & Wilson, P.W. (2011). A computationally efficient, consistent bootstrap for inference with non-parametric DEA estimators....
    • Lundvall, B.Å. (Ed.). (2010). National systems of innovation: Toward a theory of innovation and interactive learning (Vol. 2). London: Anthem...
    • Malerba, F. (2002). Sectoral systems of innovation and production. Research Policy, 31(2), 247-264.
    • Malerba, F. (2003). Sectoral systems and innovation and technology policy. Revista Brasileira de Inovação, 2(2), 329-375.
    • Malerba, F. (Ed.). (2004). Sectoral systems of innovation: concepts, issues and analyses of six major sectors in Europe. United Kingdom: Cambridge...
    • Malerba, F., & Mani, S. (Eds.). (2009). Sectoral systems of innovation and production in developing countries: actors, structure and evolution....
    • Malerba, F., & Nelson, R. (2011). Learning and catching up in different sectoral systems: evidence from six industries. Industrial and...
    • Malerba, F., & Nelson, R. (Eds.). (2012). Economic development as a learning process: Variation across sectoral systems. Northampton,...
    • Terleckyj, N.E. (1974). Effects of R&D on the productivity growth of industries: an exploratory study (No. 140). Washington, DC: National...
    • Wang, E.C., & Huang, W. (2007). Relative efficiency of R&D activities: A cross-country study accounting for environmental factors...

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