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In 2020, firms expected their innovation expenditures to decrease by about 2% in 2020 compared to 2019. This decline is much smaller than that in 2009 following the financial crisis, when innovation expenditures fell by 11%. However, smaller firms with 5 to 99 employees planned to cut their...
Persistent link: https://www.econbiz.de/10013488828
We study the cyclicality of public R&D in 28 OECD countries (1995 - 2017). While procyclical on average, public R&D reacts asymmetrically over different phases of the business cycle and becomes acyclical during recessions. It is also heterogeneous across countries: Innovation leaders and...
Persistent link: https://www.econbiz.de/10013342107
Der zeitnahe Zugang zu qualitativ hochwertigen Unternehmensdaten ist für Wirtschaftsforscher*innen von entscheidender Bedeutung für empirische Spitzenforschung und dem Wettbewerb um die besten Köpfe sowie für evidenzbasierte Politikberatung, zuverlässige Prognosen und...
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High-quality company data is crucial for state-of-the-art empirical research and competition, as well as for evidence-based policy advice, reliable forecasts and policy evaluations. In Germany, however, there are striking deficits in the availability of and access to company data compared to...
Persistent link: https://www.econbiz.de/10014431583
The automotive industry is a major pillar of the modern global economy and one of Europe's key industries. There can hardly be any doubt about the important role of this sector as an engine for employment, growth and innovation in Europe, and there are crucial challenges and opportunities ahead....
Persistent link: https://www.econbiz.de/10013520582
Die Bundesregierung hat sich immer wieder dazu bekannt, eine steuerliche Förderung von Forschung und Entwicklung (FuE) in Unternehmen in Deutschland einzuführen. Ende Februar 2019 hat das Bundesfinanzministerium erstmals konkrete Vorschläge veröffentlicht. Das ZEW-Leibniz-Zentrum für...
Persistent link: https://www.econbiz.de/10013483103
In dieser ZEW-Kurzanalyse analysieren die Autoren/-innen die Webseiten von circa 1,1 Millionen deutschen Unternehmen zwei Mal wöchentlich auf die Nennung des Wortes "Corona" und entsprechender Synonyme. Anschließend werden die identifizierten Textstellen mittels KI-Textanalysemodellen...
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