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  1. Recovery beating expectations
    economic analysis and outlook for Central, East and Southeast Europe : wiiw forecast report autumn 2021

    The economic recovery in CESEE has strengthened further in recent months, resulting in a number of additional upgrades to our growth forecasts for 2021, to 5.4% on the regional average. This good performance has been built on two important foundation... mehr

    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    C 284651
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    The economic recovery in CESEE has strengthened further in recent months, resulting in a number of additional upgrades to our growth forecasts for 2021, to 5.4% on the regional average. This good performance has been built on two important foundation stones: the adaptation of the CESEE economies to the pandemic and the increasing reluctance of their governments to impose restrictions. Labour markets have recovered, too; labour shortages have been on the rise, albeit, paradoxically, underemployment is still an issue. Despite the recent rise in inflation, driven mostly by supply-side disruptions and energy prices, there have been so far few signs of overheating in the region. The pace of recovery is projected to slow to 3.7% next year and 3.5% in 2023. The risks to this forecast are mostly on the downside, and include particularly unfavourable COVID-19 developments, premature fiscal consolidation, and the upcoming monetary tapering in the US.

     

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  2. Uncertainty in turbulent times
    economic analysis and outlook for Central, East and Southeast Europe : wiiw forecast report spring 2020
  3. Using big data for generating firm-level innovation indicators
    a literature review
    Erschienen: [2022]
    Verlag:  ZEW - Leibniz Centre for European Economic Research, Mannheim, Germany

    Obtaining indicators on innovation activities of firms has been a challenge in economic research for a long time. The most frequently used indicators - R&D expenditure and patents - provide an incomplete picture as they represent inputs and... mehr

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    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    DS 15
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    Universitätsbibliothek Mannheim
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    Obtaining indicators on innovation activities of firms has been a challenge in economic research for a long time. The most frequently used indicators - R&D expenditure and patents - provide an incomplete picture as they represent inputs and throughputs in the innovation process. Output measurement of innovation has strongly been relying on survey data such as the Community Innovation Survey (CIS), but suffers from several short-comings typical to sample surveys, including incomplete coverage of the firm sector, low timeliness and limited comparability across industries and firms. The availability of big data sources has initiated new efforts to collect innovation data at the firm level. This paper discusses recent attempts of using digital big data sources on firms for generating firm-level innovation indicators, including Websites and social media. It summarises main challenges when using big data and proposes avenues for future research.

     

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    Quelle: Verbundkataloge
    Sprache: Englisch
    Medientyp: Buch (Monographie)
    Format: Online
    Weitere Identifier:
    hdl: 10419/251523
    Schriftenreihe: Discussion paper / ZEW ; no. 22, 007 (03/2022)
    Schlagworte: Big data; innovation indicators; CIS; literature review
    Umfang: 1 Online-Ressource (35 Seiten)