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 Impact of Innovation and Innovation Subsidies on Economic Development in German Regions
Uwe Cantner, Eva Dettmann, Alexander Giebler, Jutta Günther, Maria Kristalova
Regional Studies,
No. 9,
2019
Abstract
Public innovation subsidies in a regional environment are expected to unfold a positive economic impact over time. The focus of this paper is on an assessment of the long-run impact of innovation and innovation subsidies in German regions. This is scrutinized by an estimation approach combining panel model and time-series characteristics and using regional data for the years 1980–2014. The results show that innovation and innovation subsidies in the long run have a positive impact on the economic development of regions in Germany. This supports a long-term strategy for regional and innovation policy.
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22.12.2017 • 42/2017
Polen am Scheideweg
Polen hat bislang einen recht erfolgreichen wirtschaftlichen Aufholprozess durchlaufen, der nun ins Stocken gerät. Der so genannte „Morawiecki-Plan“, den Oliver Holtemöller und Martina Kämpfe vom Leibniz-Institut für Wirtschafts-forschung Halle (IWH) nun genauer unter die Lupe nahmen, soll dem Aufholprozess wieder mehr Schwung verleihen. Ihr Fazit: Um nicht in der „Middle-Income-Trap“ zu landen, muss Polen innovative und junge Unternehmen stärker fördern und den Bildungssektor weiter ausbauen.
Oliver Holtemöller
Martina Kämpfe
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Tail-risk Protection Trading Strategies
Natalie Packham, Jochen Papenbrock, Peter Schwendner, Fabian Wöbbeking
Quantitative Finance,
No. 5,
2017
Abstract
Starting from well-known empirical stylized facts of financial time series, we develop dynamic portfolio protection trading strategies based on econometric methods. As a criterion for riskiness, we consider the evolution of the value-at-risk spread from a GARCH model with normal innovations relative to a GARCH model with generalized innovations. These generalized innovations may for example follow a Student t, a generalized hyperbolic, an alpha-stable or a Generalized Pareto distribution (GPD). Our results indicate that the GPD distribution provides the strongest signals for avoiding tail risks. This is not surprising as the GPD distribution arises as a limit of tail behaviour in extreme value theory and therefore is especially suited to deal with tail risks. Out-of-sample backtests on 11 years of DAX futures data, indicate that the dynamic tail-risk protection strategy effectively reduces the tail risk while outperforming traditional portfolio protection strategies. The results are further validated by calculating the statistical significance of the results obtained using bootstrap methods. A number of robustness tests including application to other assets further underline the effectiveness of the strategy. Finally, by empirically testing for second-order stochastic dominance, we find that risk averse investors would be willing to pay a positive premium to move from a static buy-and-hold investment in the DAX future to the tail-risk protection strategy.
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11.04.2017 • 18/2017
The state as a pioneering customer: How public demand can drive private innovation
Especially in technology-intensive industries, demand from the state can expand private markets and create incentives for privately funded research and development, a new study by the Halle Institute for Economic Research (IWH) – Member of the Leibniz Association shows.
Viktor Slavtchev
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The Role of Information in Innovation and Competition
Ufuk Akcigit, Qingmin Liu
Journal of the European Economic Association,
No. 4,
2016
Abstract
Innovation is typically a trial‐and‐error process. While some research paths lead to the innovation sought, others result in dead ends. Because firms benefit from their competitors working in the wrong direction, they do not reveal their dead‐end findings. Time and resources are wasted on projects that other firms have already found to be fruitless. We offer a simple model with two firms and two research lines to study this prevalent problem. We characterize the equilibrium in a decentralized environment that necessarily entails significant efficiency losses due to wasteful dead‐end replication and an information externality that leads to an early abandonment of the risky project. We show that different types of firms follow different innovation strategies and create different kinds of welfare losses. In an extension of the core model, we also study a centralized mechanism whereby firms are incentivized to disclose their actions and share their private information in a timely manner.
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Does Going Public Affect Innovation?
Shai B. Bernstein
Journal of Finance,
No. 4,
2015
Abstract
This paper investigates the effects of going public on innovation by comparing the innovation activity of firms that go public with firms that withdraw their initial public offering (IPO) filing and remain private. NASDAQ fluctuations during the book-building phase are used as an instrument for IPO completion. Using patent-based metrics, I find that the quality of internal innovation declines following the IPO, and firms experience both an exodus of skilled inventors and a decline in the productivity of the remaining inventors. However, public firms attract new human capital and acquire external innovation. The analysis reveals that going public changes firms' strategies in pursuing innovation.
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Network Positioning, Co-Location or Both?
Muhamed Kudic
Innovation Networks in the German Laser Industry. Springer Cham,
2015
Abstract
Previous research indicates that firm innovativeness can either be determined by a firm’s position within the network dimension or by its position within the geographical dimension. Integrative studies addressing both distinct and combined proximity effects remains rare (cf. Whittington et al. 2009). Thus, we address in this Chapter the following research question: Are firm-level innovation outcomes positively or negatively related to network positioning effects, geographical co-location effects or combined proximity effects; and if the latter case is true, are the combined effects substitutional or complementary in nature? Panel data count models with fixed and random effects were used to analyze a firm’s innovative performance as measured by patent application counts. This last empirical analysis is organized as follows: We start with a short introduction in Sect. 12.1. Next, we provide a brief discussion of theoretical background in Sect. 12.2. In Sect. 12.3 we introduce our conceptual framework and derive our hypotheses. In Sect. 12.4 we introduce the data and methods used. Next, we outline the estimation strategy and report our empirical results in Sect. 12.5. Finally, we discuss our findings and conclude with a number of critical remarks in Sect. 12.6.
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Specialization versus Diversification: Perceived Benefits of Different Incubation Models
Michael Schwartz, Christoph Hornych
International Journal of Entrepreneurship and Innovation Management,
No. 3,
2012
Abstract
Business incubator initiatives are a widespread policy instrument for the promotion of entrepreneurship, innovation and the development of new technology-based firms. Recently, there has been an increasing tendency for the more traditional diversified incubators to be superseded by incubators focusing their support elements, processes and selection criteria on firms from one specific sector, and its particular needs. Despite the increasing importance of such specialized incubators in regional innovation strategies, the question of whether they are advantageous has neither been investigated empirically nor discussed theoretically in detail. Drawing on large-scale survey data from 161 firms incubated in either diversified or specialized incubators in Germany, we investigate the benefits to firms of being part of a specialized business incubator as opposed to being part of a generalized business incubator. The investigation of the value-added contribution of specialized incubators, in particular regarding hardware components, business assistance, networking and reputation gains, reveals considerable differences compared to the more diversified incubation model.
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Pre-announcement and Timing: The Effects of a Government Expenditure Shock
Alexander Kriwoluzky
European Economic Review,
No. 3,
2012
Abstract
An econometric strategy to identify a pre-announced fiscal policy shock is proposed. I show that the reduced form innovations can be recovered by estimating a Vector-moving-average model using the Kalman filter. The structural effects are identified exploiting the shock's pre-announced nature, which leads to potentially different signs of the responses of some endogenous variables during the announcement and after the realization of the shock. I illustrate my strategy by identifying a pre-announced shock to government consumption expenditures. I find that the response of private consumption is significantly negative on impact, rises and becomes significantly positive two quarters after the realization of the policy shock.
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