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.

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.

Using daily data for 34 emerging markets in the period 1994–2016, we find robust evidence that higher export commodity prices are associated with lower sovereign default risk, as measured by lower EMBI spreads. The economic effect is especially pronounced for heavy commodity exporters. Examining the drivers, we find that, first, commodity dependence is higher for countries that export large volumes of commodities, whereas other portfolio characteristics like volatility or concentration are less important. Second, commodity-sovereign risk dependence increases in times of recessions and expansionary U.S. monetary policy. Third, the importance of raw material prices for sovereign financing can likely be mitigated if a country improves institutions and tax systems, attracts FDI inflows, invests in manufacturing, machinery and infrastructure, builds up reserve assets and opens capital and trade accounts. Fourth, the country’s government indebtedness or amount of received development assistance appear to be only of secondary importance for commodity dependence.

In this study, we assess capabilities of different types of banks to cater to the financial needs of small and medium-sized enterprises (SMEs). Using a comprehensive dataset from an emerging economy, including the information on local banks’ corrective programs, we find that local banks remain difficult-to-replace lenders for SMEs. We show that presence of healthy local banks in an SME's vicinity immunizes the SME against the deterioration of access to bank financing linked to other local banks’ corrective programs. In contrast, large banks are unable to replace the lost lending from local competitors under corrective programs.

This paper examines the economic effects of a firm's approach to developing and maintaining political connections. Specifically, we investigate whether lenders favor transactional connection as opposed to relational connection. By tracing firms in a politically volatile emerging democracy in Indonesia, we find that firms following a transactional political connection strategy experience a relatively lower cost of debt than those with a relational strategy. The effect is more pronounced for firms facing high financial distress. The finding is robust to cost of bank loans and a variety of regression methods. Overall, the evidence suggests that in times of frequently changing political regimes, firms benefit from a transactional relationship with politicians as it enables to update connection with the government in power. Relational connection is valuable for a firm only when the political regime connected with it gains power.

Die Transformation der Planwirtschaften Osteuropas in markwirtschaftliche Systeme, die Integration Ost- und Westeuropas und die deutsche Wiedervereinigung waren recht einmalige politische und gesellschaftliche Prozesse. Es gab keine „Evidenz“ aus früheren Zeiten, an denen sich die handelnden Akteure orientieren konnten. Zeigt dies die Grenzen evidenzbasierter Politik auf? Einer Politik, die Maßnahmen vorab evaluiert, deren Wirkungen beobachtet und aus diesen empirischen Beobachtungen systematisch Schlüsse für zukünftiges politisches Handeln zieht? In einem eng definierten Sinn evidenzbasierter Politik muss die Antwort auf diese Frage sicherlich „Ja“ lauten. Es gibt Grenzen evidenzbasierter Politik in Zeiten großer gesellschaftlicher Umwälzungen und wenn (wirtschafts-)politische Maßnahmen so weit aus dem Rahmen des bisher Bekannten heraustreten, dass Verhaltensmuster der Vergangenheit kaum Rückschlüsse auf zukünftiges Verhalten zulassen. In solchen Phasen sind alle sozialwissenschaftlichen Disziplinen gefordert, politische Prozesse aus einem breiten Fundus an Wissen und Erfahrungen heraus zu begleiten. Empirisch messbare Effekte einzelner Maßnahmen sind in solchen Umbruchzeiten nicht verfügbar. So verstanden könnten Überlegungen zur Rolle evidenzbasierter Politik generell und speziell zur Frage, wie Finanzmärkte zur Transformation von wirtschaftlichen Systemen beitragen, schnell enden.

I show that rising temperatures can detrimentally affect the sovereign creditworthiness of emerging economies. To this end, I collect long-term monthly temperature data of 54 emerging countries. I calculate a country’s temperature deviation from its historical average, which approximates present day climate change trends. Running regressions from 1994m1-2018m12, I find that higher temperature anomalies lower sovereign bond performances (i.e. increase sovereign risk) significantly for countries that are warmer on average and have lower seasonality. The estimated magnitudes suggest that affected countries likely face significant increases in their sovereign borrowing costs if temperatures continue to rise due to climate change. However, results indicate that stronger institutions can make a country more resilient towards temperature shocks, which holds independent of a country’s climate.