Department Profiles
Research Profiles of the IWH Departments All doctoral students are allocated to one of the four research departments (Financial Markets – Laws, Regulations and Factor Markets –…
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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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The Influence of Bondholder Concentration and Temporal Orientation on Investments in R&D
Pengfei Ye, Jonathan O’Brien, Christina Matz Carnes, Iftekhar Hasan
Journal of Management,
No. 3,
2021
Abstract
Although innovation can be a critical source of competitive advantage, research has found that debt can erode management’s willingness to invest in R&D. In this article, we employ a stakeholder bargaining power perspective to argue that this effect is most pronounced when the firm’s bonds are concentrated in the hands of bond blockholders. Furthermore, we contend that the temporal orientation of bondholders influences this relationship. Specifically, while it is commonly assumed that bondholders have a limited temporal orientation that induces them to focus on short-term value appropriation, we argue that some bond blockholders adopt a long-term temporal orientation. This orientation, in turn, makes them more inclined to support long-term value creation for the firm in the form of enhanced investments in R&D. Moreover, while agency theory suggests that there is an inherent conflict of interest between shareholders and bondholders, our results suggest that the temporal orientation of investors (i.e., both shareholders and bondholders) matters much more than whether they invested in the firm’s equity or its debt.
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Capital Misallocation and Innovation
Christian Schmidt, Yannik Schneider, Sascha Steffen, Daniel Streitz
SSRN Solutions Research Paper Series,
2020
Abstract
This paper documents that "zombie" lending by undercapitalized banks distorts competition and impedes corporate innovation. This misallocation of capital prevents both the exit of zombie and entry of healthy firms in affected industries adversely impacting output and competition. Worse, capital misallocation depresses patent applications, particularly in high technology- and R&D-intensive sectors, and industries with neck- and-neck competition. We strengthen our results using an IV approach to address reverse causality and innovation survey data from the European Commission. Overall, our results are consistent with externalities imposed on healthy firms through the misallocation of capital.
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Identifying Cooperation for Innovation―a Comparison of Data Sources
Michael Fritsch, Mirko Titze, Matthias Piontek
Industry and Innovation,
No. 6,
2020
Abstract
The value of social network analysis is critically dependent on the comprehensive and reliable identification of actors and their relationships. We compare regional knowledge networks based on different types of data sources, namely, co-patents, co-publications, and publicly subsidized collaborative R&D projects. Moreover, by combining these three data sources, we construct a multilayer network that provides a comprehensive picture of intraregional interactions. By comparing the networks based on the data sources, we address the problems of coverage and selection bias. We observe that using only one data source leads to a severe underestimation of regional knowledge interactions, especially those of private sector firms and independent researchers.
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Is Social Capital Associated with Corporate Innovation? Evidence from Publicly Listed Firms in the U.S.
Iftekhar Hasan, Chun-Keung (Stan) Hoi, Qiang Wu, Hao Zhang
Journal of Corporate Finance,
June
2020
Abstract
We find that social capital in U.S. counties, as captured by strength of social norms and density of social networks, is positively associated with innovation of firms headquartered in the county, as captured by patents and citations. This relation is robust in fixed-effect regressions, instrumental variable regressions with a Bartik instrument, propensity score matching regressions, and a difference-in-differences design that isolates the effects of over time variations in social capital due to corporate headquarter relocations. Strength of social norms plays a more dominant role than density of social networks in producing these empirical regularities. Cross-sectional evidence indicates the prominence of the contracting channel through which social capital relates to innovation. Additionally, we find that social capital is also positively associated with trademarks and effectiveness of corporate R&D expenditures.
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Import Competition and Firm Productivity: Evidence from German Manufacturing
Richard Bräuer, Matthias Mertens, Viktor Slavtchev
Abstract
This study analyses empirically the effects of import competition on firm productivity (TFPQ) using administrative firm-level panel data from German manufacturing. We find that only import competition from high-income countries is associated with positive incentives for firms to invest in productivity improvement, whereas import competition from middle- and low-income countries is not. To rationalise these findings, we further look at the characteristics of imports from the two types of countries and the effects on R&D, employment and sales. We provide evidence that imports from high-income countries are relatively capital-intensive and technologically more sophisticated goods, at which German firms tend to be relatively good. Costly investment in productivity appears feasible reaction to such type of competition and we find no evidence for downscaling. Imports from middle- and low-wage countries are relatively labour-intensive and technologically less sophisticated goods, at which German firms tend to generally be at disadvantage. In this case, there are no incentives to invest in innovation and productivity and firms tend to decline in sales and employment.
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Do Diasporas Affect Regional Knowledge Transfer within Host Countries? A Panel Analysis of German R&D Collaborations
Lutz Schneider, Alexander Kubis, Mirko Titze
Regional Studies,
No. 1,
2019
Abstract
Interactive regional learning involving various actors is considered a precondition for successful innovations and, hence, for regional development. Diasporas as non-native ethnic groups are regarded as beneficial since they enrich the creative class by broadening the cultural base and introducing new routines. Using data on research and development (R&D) collaboration projects, the analysis provides tentative evidence that the size of diasporas positively affects the region’s share of outward R&D linkages enabling the exchange of knowledge. The empirical analysis further confirms that these interactions mainly occur between regions hosting the same diasporas, pointing to a positive effect of ethnic proximity rather than ethnic diversity.
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Innovation, Reallocation, and Growth
Daron Acemoglu, Ufuk Akcigit, Harun Alp, Nicholas Bloom, William R. Kerr
American Economic Review,
No. 11,
2018
Abstract
We build a model of firm-level innovation, productivity growth, and reallocation featuring endogenous entry and exit. A new and central economic force is the selection between high- and low-type firms, which differ in terms of their innovative capacity. We estimate the parameters of the model using US Census microdata on firm-level output, R&D, and patenting. The model provides a good fit to the dynamics of firm entry and exit, output, and R&D. Taxing the continued operation of incumbents can lead to sizable gains (of the order of 1.4 percent improvement in welfare) by encouraging exit of less productive firms and freeing up skilled labor to be used for R&D by high-type incumbents. Subsidies to the R&D of incumbents do not achieve this objective because they encourage the survival and expansion of low-type firms.
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