26.09.2024 • 26/2024
Joint Economic Forecast 2/2024: German economy in transition ‒ weak momentum, low potential growth
The Joint Economic Forecast Project Group forecasts a 0.1% decline in Germany's gross domestic product in 2024. Looking further ahead, the institutes expect a weak recovery with growth of 0.8% (2025) and 1.3% (2026). Compared to the spring forecast, this represents a down-ward revision of 0.2 (2024) and 0.6 (2025) percentage points. “In addition to the economic downturn, the German economy is also being weighed down by structural change,” says Dr Geraldine Dany-Knedlik, head of Forecasting and Economic Policy at the German Institute for Economic Research (DIW Berlin). “Decarbonisation, digitalisation, and demographic change – alongside stronger competition with companies from China – have triggered structural adjustment processes that are dampening the long-term growth prospects of the German economy.”
Oliver Holtemöller
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German economy in transition ‒ weak momentum, low potential growth The Joint Economic Forecast Project Group forecasts a 0.1% decline in Germany's gross domestic product in 2024.…
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Joint Economic Forecast Autumn 2024 German economy in transition ‒ weak momentum, low potential growth September 26, 2024 The Joint Economic Forecast Project Group forecasts a…
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Measuring and Accounting for Innovation in the Twenty-First Century
Carol Corrado, Jonathan Haskel, Javier Miranda, Daniel Sichel
NBER Studies in Income and Wealth,
2021
Abstract
Measuring innovation is challenging both for researchers and for national statisticians, and it is increasingly important in light of the ongoing digital revolution. National accounts and many other economic statistics were designed before the emergence of the digital economy and the growing importance of intangible capital. They do not yet fully capture the wide range of innovative activity that is observed in modern economies.
This volume examines how to measure innovation, track its effects on economic activity and prices, and understand how it has changed the structure of production processes, labor markets, and organizational form and operation in business. The contributors explore new approaches to, and data sources for, measurement—such as collecting data for a particular innovation as opposed to a firm, and the use of trademarks for tracking innovation. They also consider the connections between university-based R&D and business startups, and the potential impacts of innovation on income distribution.
The research suggests potential strategies for expanding current measurement frameworks to better capture innovative activity, such as more detailed tracking of global value chains to identify innovation across time and space, and expanding the measurement of the GDP impacts of innovation in fields such as consumer content delivery and cloud computing.
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Introduction to "Measuring and Accounting for Innovation in the Twenty-First Century"
Javier Miranda
Measuring and Accounting for Innovation in the Twenty-First Century,
NBER Studies in Income and Wealth, Vol 78 /
2021
Abstract
Measuring innovation is challenging both for researchers and for national statisticians, and it is increasingly important in light of the ongoing digital revolution. National accounts and many other economic statistics were designed before the emergence of the digital economy and the growing importance of intangible capital. They do not yet fully capture the wide range of innovative activity that is observed in modern economies. This volume examines how to measure innovation, track its effects on economic activity and prices, and understand how it has changed the structure of production processes, labor markets, and organizational form and operation in business. The contributors explore new approaches to, and data sources for, measurement—such as collecting data for a particular innovation as opposed to a firm, and the use of trademarks for tracking innovation. They also consider the connections between university-based R&D and business startups, and the potential impacts of innovation on income distribution. The research suggests potential strategies for expanding current measurement frameworks to better capture innovative activity, such as more detailed tracking of global value chains to identify innovation across time and space, and expanding the measurement of the GDP impacts of innovation in fields such as consumer content delivery and cloud computing.
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