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Measuring the territorial effort in research, development, and innovation from a multiple criteria approach: Application to the Spanish regions case

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  • Tania, Fernández-García
  • Vicente, Liern
  • Blanca, Pérez-Gladish
  • Fernando, Rubiera-Morollón

Abstract

Research, development and innovation are fundamental for the socioeconomic growth of the territories. Consequently, many governments set spending targets for research and development (R&D), for example the EU has a goal of reaching a spending target of 3% of the Union's GDP. However, recent literature emphasizes that spending on R&D may not be the most appropriate indicator to measure the innovative efforts of a particular territory. Multidimensional indicators are required to measure the different elements that reflect the capacity of each scientific and innovative system to transmit the scientific results into productivity and competitiveness advancements. In this context, the objective of this paper is to propose a method that produces a synthetic indicator to rank various territories as an aid to understanding the multidimensional complexities of the innovation process. To reach this objective, the methodological approach proposed is a modified version of the unweighted TOPSIS (UW-TOPSIS) method. In this paper, this multiple criteria decision-making method is used to rank the 17 Spanish autonomous communities in terms of their innovation efforts. The obtained results show the capacity of the proposed technique to evaluate the relative situation of each community using a multidimensional approach. However, it also allows us to provide policy guidance to political decision-makers on socioeconomic aspects that can be improved in each region.

Suggested Citation

  • Tania, Fernández-García & Vicente, Liern & Blanca, Pérez-Gladish & Fernando, Rubiera-Morollón, 2022. "Measuring the territorial effort in research, development, and innovation from a multiple criteria approach: Application to the Spanish regions case," Technology in Society, Elsevier, vol. 70(C).
  • Handle: RePEc:eee:teinso:v:70:y:2022:i:c:s0160791x22001166
    DOI: 10.1016/j.techsoc.2022.101975
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    References listed on IDEAS

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    1. Wątróbski, Jarosław & Jankowski, Jarosław & Ziemba, Paweł & Karczmarczyk, Artur & Zioło, Magdalena, 2019. "Generalised framework for multi-criteria method selection," Omega, Elsevier, vol. 86(C), pages 107-124.
    2. V. Liern & B. Pérez-Gladish, 2022. "Multiple criteria ranking method based on functional proximity index: un-weighted TOPSIS," Annals of Operations Research, Springer, vol. 311(2), pages 1099-1121, April.
    3. Mareschal, Bertrand, 1988. "Weight stability intervals in multicriteria decision aid," European Journal of Operational Research, Elsevier, vol. 33(1), pages 54-64, January.
    4. Ouenniche, Jamal & Pérez-Gladish, Blanca & Bouslah, Kais, 2018. "An out-of-sample framework for TOPSIS-based classifiers with application in bankruptcy prediction," Technological Forecasting and Social Change, Elsevier, vol. 131(C), pages 111-116.
    5. Andres Rodriguez-Pose & Riccardo regstdcenzi, 2008. "Research and Development, Spillovers, Innovation Systems, and the Genesis of Regional Growth in Europe," Regional Studies, Taylor & Francis Journals, vol. 42(1), pages 51-67.
    6. Fischer, Gregory W., 1995. "Range Sensitivity of Attribute Weights in Multiattribute Value Models," Organizational Behavior and Human Decision Processes, Elsevier, vol. 62(3), pages 252-266, June.
    7. Paul M. Romer, 1994. "The Origins of Endogenous Growth," Journal of Economic Perspectives, American Economic Association, vol. 8(1), pages 3-22, Winter.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    R&D and innovation indicators; Territorial development; Multiple criteria decision-making; MCDM; TOPSIS; Spanish R&D and innovation system;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes

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