Benchmarking regional innovative performance: Composite measures and direct innovation counts

T. Makkonen (Corresponding Author), Robert van der Have

    Research output: Contribution to journalArticleScientificpeer-review

    19 Citations (Scopus)

    Abstract

    There is a considerable amount of discussion, but still no consensus, about which indicator should be used to measure innovation. To participate in this debate, a unique innovation database, SFINNO, is introduced. Innovation counts from the database are used as the baseline, to which individual proxy indicators (patent- and research and development statistics) of innovation and innovation indexes, constructed here with principal component analysis, are compared. The local administrative units of Finland serve as the regional units benchmarked. The study results show that innovation is a complex phenomenon which cannot be entirely explained through the use of proxy statistics, as the linkages between innovation input- and output-indicators are fuzzy. We also show that the strength of these linkages varies by field of technology. Furthermore, different innovation measures produce highly divergent rankings when they are used as benchmarking tools of regional innovative performance. Although the produced innovation indexes perform slightly better, their superiority is marginal. Therefore, caution should be taken before drawing too drastic policy conclusions depending on a single measure of regional innovative performance.
    Original languageEnglish
    Pages (from-to)247-262
    Number of pages16
    JournalScientometrics
    Volume94
    Issue number1
    DOIs
    Publication statusPublished - 2012
    MoE publication typeA1 Journal article-refereed

    Fingerprint

    benchmarking
    Benchmarking
    Innovation
    innovation
    Composite materials
    performance
    statistics
    Statistics
    patent
    Principal component analysis
    research and development
    Finland
    ranking

    Keywords

    • Composite indicators
    • innovation
    • patents
    • R&D
    • regional innovative performance

    Cite this

    @article{475bed09cf754aaa84b6a5edfd37437c,
    title = "Benchmarking regional innovative performance: Composite measures and direct innovation counts",
    abstract = "There is a considerable amount of discussion, but still no consensus, about which indicator should be used to measure innovation. To participate in this debate, a unique innovation database, SFINNO, is introduced. Innovation counts from the database are used as the baseline, to which individual proxy indicators (patent- and research and development statistics) of innovation and innovation indexes, constructed here with principal component analysis, are compared. The local administrative units of Finland serve as the regional units benchmarked. The study results show that innovation is a complex phenomenon which cannot be entirely explained through the use of proxy statistics, as the linkages between innovation input- and output-indicators are fuzzy. We also show that the strength of these linkages varies by field of technology. Furthermore, different innovation measures produce highly divergent rankings when they are used as benchmarking tools of regional innovative performance. Although the produced innovation indexes perform slightly better, their superiority is marginal. Therefore, caution should be taken before drawing too drastic policy conclusions depending on a single measure of regional innovative performance.",
    keywords = "Composite indicators, innovation, patents, R&D, regional innovative performance",
    author = "T. Makkonen and {van der Have}, Robert",
    year = "2012",
    doi = "10.1007/s11192-012-0753-2",
    language = "English",
    volume = "94",
    pages = "247--262",
    journal = "Scientometrics",
    issn = "0138-9130",
    publisher = "Springer",
    number = "1",

    }

    Benchmarking regional innovative performance : Composite measures and direct innovation counts. / Makkonen, T. (Corresponding Author); van der Have, Robert.

    In: Scientometrics, Vol. 94, No. 1, 2012, p. 247-262.

    Research output: Contribution to journalArticleScientificpeer-review

    TY - JOUR

    T1 - Benchmarking regional innovative performance

    T2 - Composite measures and direct innovation counts

    AU - Makkonen, T.

    AU - van der Have, Robert

    PY - 2012

    Y1 - 2012

    N2 - There is a considerable amount of discussion, but still no consensus, about which indicator should be used to measure innovation. To participate in this debate, a unique innovation database, SFINNO, is introduced. Innovation counts from the database are used as the baseline, to which individual proxy indicators (patent- and research and development statistics) of innovation and innovation indexes, constructed here with principal component analysis, are compared. The local administrative units of Finland serve as the regional units benchmarked. The study results show that innovation is a complex phenomenon which cannot be entirely explained through the use of proxy statistics, as the linkages between innovation input- and output-indicators are fuzzy. We also show that the strength of these linkages varies by field of technology. Furthermore, different innovation measures produce highly divergent rankings when they are used as benchmarking tools of regional innovative performance. Although the produced innovation indexes perform slightly better, their superiority is marginal. Therefore, caution should be taken before drawing too drastic policy conclusions depending on a single measure of regional innovative performance.

    AB - There is a considerable amount of discussion, but still no consensus, about which indicator should be used to measure innovation. To participate in this debate, a unique innovation database, SFINNO, is introduced. Innovation counts from the database are used as the baseline, to which individual proxy indicators (patent- and research and development statistics) of innovation and innovation indexes, constructed here with principal component analysis, are compared. The local administrative units of Finland serve as the regional units benchmarked. The study results show that innovation is a complex phenomenon which cannot be entirely explained through the use of proxy statistics, as the linkages between innovation input- and output-indicators are fuzzy. We also show that the strength of these linkages varies by field of technology. Furthermore, different innovation measures produce highly divergent rankings when they are used as benchmarking tools of regional innovative performance. Although the produced innovation indexes perform slightly better, their superiority is marginal. Therefore, caution should be taken before drawing too drastic policy conclusions depending on a single measure of regional innovative performance.

    KW - Composite indicators

    KW - innovation

    KW - patents

    KW - R&D

    KW - regional innovative performance

    U2 - 10.1007/s11192-012-0753-2

    DO - 10.1007/s11192-012-0753-2

    M3 - Article

    VL - 94

    SP - 247

    EP - 262

    JO - Scientometrics

    JF - Scientometrics

    SN - 0138-9130

    IS - 1

    ER -