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State of an innovation system: theoretical and empirical advance towards an innovation efficiency index

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  • Montalvo, Carlos
  • Moghayer, Saeed

Abstract

Innovation is currently seen as a cornerstone not only for economic development but also as an intrinsic human activity that could help to face the great challenges of human kind. Given the importance of innovation in the new European 2020 Strategy, measuring progress but also monitoring what drives innovation becomes crucial for policy development. Following upon this strategy the new European flag initiative “Innovation Union” called for a new “single” indicator on innovation. Currently the information infrastructure on innovation in Europe contains a number of indicators. Most of the current indicators at the national or sector levels use a performance theoretical framework based on an efficiency model of inputs and outputs. The last five editions of CIS have been a bastion of innovation policy research during the last decade. Despite this, CIS has been criticised for not having an umbrella framework that unifies its different underpinnings to explain what drives innovation to actual innovation and economic outcomes. In this paper we propose a framework that enables the theoretical and empirical linkages between the drivers of innovation to innovation performance via the integration of core features determining innovative behaviour in to a single composite. This index enables to assess the total propensity of firms to innovate and assess the relative innovation performance at the sector and country level. The approach adopted here to create the index overcomes long standing theoretical and methodological issues related to the reduction of complexity in a meaningful form, scope, aggregation, normalisation and validation of innovation composites. The empirical demonstration of the index was done using CIS4 data and the results validate the theoretical structure and robustness of the proposed model. This enables its replication for innovation policy analysis in different settings. The model underlying the proposed index provides not only a depiction of the efficiency of the innovation system but also a link to economic performance and to the factors that determine relative performance.

Suggested Citation

  • Montalvo, Carlos & Moghayer, Saeed, 2011. "State of an innovation system: theoretical and empirical advance towards an innovation efficiency index," MPRA Paper 38002, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:38002
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    References listed on IDEAS

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    1. Guan, Jiancheng & Chen, Kaihua, 2012. "Modeling the relative efficiency of national innovation systems," Research Policy, Elsevier, vol. 41(1), pages 102-115.
    2. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    3. Hagedoorn, John & Cloodt, Myriam, 2003. "Measuring innovative performance: is there an advantage in using multiple indicators?," Research Policy, Elsevier, vol. 32(8), pages 1365-1379, September.
    4. Giulio Cainelli & Rinaldo Evangelista & Maria Savona, 2006. "Innovation and economic performance in services: a firm-level analysis," Cambridge Journal of Economics, Cambridge Political Economy Society, vol. 30(3), pages 435-458, May.
    5. Alfred Kleinknecht & Kees Van Montfort & Erik Brouwer, 2002. "The Non-Trivial Choice between Innovation Indicators," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 11(2), pages 109-121.
    6. Katz, J. Sylvan, 2006. "Indicators for complex innovation systems," Research Policy, Elsevier, vol. 35(7), pages 893-909, September.
    7. L Cherchye & W Moesen & N Rogge & T Van Puyenbroeck & M Saisana & A Saltelli & R Liska & S Tarantola, 2008. "Creating composite indicators with DEA and robustness analysis: the case of the Technology Achievement Index," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(2), pages 239-251, February.
    8. Malerba, Franco, 2002. "Sectoral systems of innovation and production," Research Policy, Elsevier, vol. 31(2), pages 247-264, February.
    9. Carlsson, Bo & Jacobsson, Staffan & Holmen, Magnus & Rickne, Annika, 2002. "Innovation systems: analytical and methodological issues," Research Policy, Elsevier, vol. 31(2), pages 233-245, February.
    10. Nasierowski, W. & Arcelus, F. J., 2003. "On the efficiency of national innovation systems," Socio-Economic Planning Sciences, Elsevier, vol. 37(3), pages 215-234, September.
    11. Godin, Benoit, 2003. "The emergence of S&T indicators: why did governments supplement statistics with indicators?," Research Policy, Elsevier, vol. 32(4), pages 679-691, April.
    12. Carlos Montalvo, 2007. "Explaining and predicting the impact of regulation on innovation: towards a dynamic model," International Journal of Public Policy, Inderscience Enterprises Ltd, vol. 2(1/2), pages 5-31.
    13. Laurens Cherchye & Wim Moesen & Tom Van Puyenbroeck, 2004. "Legitimately Diverse, yet Comparable: On Synthesizing Social Inclusion Performance in the EU," Journal of Common Market Studies, Wiley Blackwell, vol. 42(5), pages 919-955, December.
    14. Chris Freeman & Luc Soete, 1997. "The Economics of Industrial Innovation, 3rd Edition," MIT Press Books, The MIT Press, edition 3, volume 1, number 0262061953, December.
    15. Carter Bloch, 2007. "Assessing recent developments in innovation measurement: The third edition of the Oslo Manual," Science and Public Policy, Oxford University Press, vol. 34(1), pages 23-34, February.
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    Cited by:

    1. Jiaofeng Pan & Jianxin Guo, 2022. "Innovative Collaboration and Acceleration: an Integrated Framework Based on Knowledge Transfer and Triple Helix," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 13(4), pages 3223-3247, December.
    2. Szalavetz Andrea, 2014. "Innovation in Hungary - The Impact of EU Accession and Integration into Global Value Chains," International Journal of Management and Economics, Warsaw School of Economics, Collegium of World Economy, vol. 42(1), pages 40-59, June.

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    More about this item

    Keywords

    Innovation indicators; Innovation performance; innovation efficiency; innovation intensity; theory of planned behaviour; CIS; single indicator; composite indicators; sectoral innovation indicators; behavioral economics; psychological economics;
    All these keywords.

    JEL classification:

    • D03 - Microeconomics - - General - - - Behavioral Microeconomics: Underlying Principles
    • D7 - Microeconomics - - Analysis of Collective Decision-Making
    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
    • O3 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights

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