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Комплексная Оценка Показателей Инновационного Развития Методами Многомерного Статистического Анализа (На Примере Стран Европейского Союза)


  • Балашова С.А.
  • Хрусталев Е.Ю.


В статье исследуются показатели инновационного развития стран ЕС методами многомерного статистического анализа. Показано, что если для построения результирующего индекса инновационности использовать модифицированный метод главных компонент, то из априорного набора можно выявить наиболее и наименее значимые факторы, что позволяет более четко определить возможные точки роста.

Suggested Citation

  • Балашова С.А. & Хрусталев Е.Ю., 2014. "Комплексная Оценка Показателей Инновационного Развития Методами Многомерного Статистического Анализа (На Примере Стран Европейского Союза)," Журнал Экономика и математические методы (ЭММ), Центральный Экономико-Математический Институт (ЦЭМИ), vol. 50(2), pages 96-110, апрель.
  • Handle: RePEc:scn:cememm:v:50:y:2014:i:2:p:96-110
    Note: Москва

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    References listed on IDEAS

    1. Svetlana Balashova & Vladimir Matyushok, 2012. "The Impact of Public R&D Expenditure on Business R&D: Russia and OECD Countries," Book Chapters, Institute of Economic Sciences.
    2. Aivazian, Sergei & Stepanov, Vladimir & Kozlova, Maria, 2006. "Measuring the Synthetic Categories of Quality of Life in a Region and Identification of Main Trends to Improve the Social and Economic Policy (Samara Region and its Constituent Territories)," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 2(2), pages 18-84.
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