nep-ino New Economics Papers
on Innovation
Issue of 2024‒04‒08
ten papers chosen by
Uwe Cantner, University of Jena


  1. Risk-reward trade-offs: Modes of innovation and economic performance of young firms By Runst, Petrik; Thomä, Jörg
  2. Commissioned project evaluations of research and innovation policy in Germany: A review By Büchele, Stefan; Bünstorf, Guido; Cantner, Uwe; Dreier, Lukas; Meurer, Petra; Neumann, Liam Paul
  3. Joseph Schumpeter, Alfred Marshall and the nature of restless capitalism By Stan Metcalfe
  4. Do Capital Inflows Spur Technology Diffusion? Evidence from a New Technology Adoption Index By Ms. Gabriela Cugat; Andrea Manera
  5. Mapping CRISPR research, innovation, and diffusion activities in agriculture: Cross-national By Zyontz, Samantha
  6. International mobility and collaboration of German scientists, 2005-2020 By Coda-Zabetta, Massimiliano; Lissoni, Francesco; Miguélez, Ernest
  7. Researcher mobility and cooperation in the science system By Karaulova, Maria; Kroll, Henning; Garcia Chavez, Cecilia; Berghäuser, Hendrik
  8. Rethinking innovation policy in India: Amplifying spillovers through contracting-out By R. A. Mashelkar; Ajay Shah; Susan Thomas
  9. Automation and Employment over the Technology Life Cycle: Evidence from European Regions By Florencia Jaccoud; Fabien Petit; Tommaso Ciarli; Maria Savona
  10. Big data and start-up performance By Rodepeter, Elisa; Gschnaidtner, Christoph; Hottenrott, Hanna

  1. By: Runst, Petrik; Thomä, Jörg
    Abstract: The literature has established that young firms engaged in R&D exhibit a pronounced asymmetry in their economic performance, with high premia at the upper end of the conditional growth distribution. We argue that this binary view - i.e., R&D-oriented firms versus all others - is somewhat limited. In particular, non-R&D innovation activity should be treated as an important category in its own right, and that its sui generis mode of learning is reflected in a distinct growth pattern. We examine data from the German IAB/ZEW Start-up Panel. Our evidence suggests that young non-R&D innovators also exhibit asymmetric and improved economic performance relative to non-innovators, although less so than R&D firms. Our results also suggest that firms engaged in non-R&D innovation grow in a less risky and costly way than R&D innovators, and that a young firm's decision whether to engage in R&D for the purpose of innovation and growth can therefore usefully be understood as being driven by a specific risk-return trade-off.
    Keywords: Firm growth, R&D, non-R&D innovation, Modes of innovation
    JEL: D21 L11 L25 L26 O31
    Date: 2024
    URL: http://d.repec.org/n?u=RePEc:zbw:ifhwps:285360&r=ino
  2. By: Büchele, Stefan; Bünstorf, Guido; Cantner, Uwe; Dreier, Lukas; Meurer, Petra; Neumann, Liam Paul
    Keywords: Technology policy, Impact assessment, Germany
    Date: 2024
    URL: http://d.repec.org/n?u=RePEc:zbw:efisdi:285357&r=ino
  3. By: Stan Metcalfe (Manchester Institute of Innovation Research, The University of Manchester)
    Abstract: This lecture explores the evolution of economics as a discipline during 1870-1920, focusing on the critical question of wealth creation from knowledge. It highlights the tension between understanding economic structures and their transformative growth, with special attention to Alfred Marshall and Joseph Schumpeter's insights on the evolving nature of capitalism and innovation's role in economic development. By contrasting their views — Schumpeter's emphasis on disruptive innovation and Marshall's on gradual change — the lecture underscores the significance of innovation and knowledge in driving economic transformation. This discussion aims to illuminate the complex relationship between knowledge, innovation, and economic dynamics, essential for understanding the workings of modern economies.
    Keywords: Economic Evolution, Innovation and Growth, Schumpeter and Marshall, Wealth from Knowledge, Historical Economics
    Date: 2024–03
    URL: http://d.repec.org/n?u=RePEc:bdj:smioir:2024-02&r=ino
  4. By: Ms. Gabriela Cugat; Andrea Manera
    Abstract: We construct a novel measure of technology adoption, the Embodied Technology Imports Indicator (ETI), available for 181 countries over the period 1970-2020. The ETI measures the technological intensity of imports of each country by leveraging patent data from PATSTAT and product-level trade data from COMTRADE. We use this index to assess the link between capital flows and the diffusion of new technologies across emerging economies and low-income countries. Through a local projection difference-in-differences approach, we establish that variations in statutory capital flow regulations increase technological intensity by 7-9 percentage points over 5 to 10 years. This increase is accompanied by a significant 28-33 pp rise in the volume of gross capital inflows, driven primarily by foreign direct investment (21 pp increase), and a 9 to 12 percentage points shift in the level of Real GDP per capita in PPP terms.
    Keywords: Technology measurement; Technology diffusion; Capital flows; Capital account openness.
    Date: 2024–03–01
    URL: http://d.repec.org/n?u=RePEc:imf:imfwpa:2024/044&r=ino
  5. By: Zyontz, Samantha
    Abstract: This report updates and expands the paper, patent, and company datasets collected for Zyontz and Pomeroy-Carter (2021) through 2022. Particular attention is paid to worldwide CRISPR activity in plant applications. The results from the databases updated for this report reveal a number of important trends in the global CRISPR plant ecosystem. First, China dominates in CRISPR plants, but there are many countries that innovate in this space, including the United States and European Union. Second, innovation strategies in CRISPR plants are still influenced by the existing academic, business, and cultural environments at the time CRISPR was introduced. Third, Germany produces very high quality scholarship in CRISPR plants and has a number of well-established companies that patent, but there is little evidence of university-company co-creation that helps to translate ideas into products and create new ventures.
    Date: 2024
    URL: http://d.repec.org/n?u=RePEc:zbw:efisdi:284385&r=ino
  6. By: Coda-Zabetta, Massimiliano; Lissoni, Francesco; Miguélez, Ernest
    Abstract: This report provides evidence and policy recommendations concerning Germany's role in the global landscape of international scientific mobility and collaborations. Our analysis draws upon a comprehensive dataset from Scopus, encompassing over 5 million articles authored by researchers affiliated with German institutions from 2005 to 2020. We identify mobile scientists and collaborations based on the affiliations reported in their publications. To enhance the mobility analysis, we enrich this data with an ethnic analysis of authors' full names using IBM-GNR library. Additionally, we integrate data on doctoral theses conducted in Germany between 2000 and 2020. Our study explores trends within Germany, comparing its situation with other countries in Europe and globally. It also includes a specialized focus on three broadly defined disciplinary fields: Artificial Intelligence, Bioeconomy, and Advanced Manufacturing. Furthermore, the report assesses the impact of key policy measures such as the Excellence Initiative program, the Alexander von Humboldt professorship, and the AI Strategy.
    Date: 2024
    URL: http://d.repec.org/n?u=RePEc:zbw:efisdi:284386&r=ino
  7. By: Karaulova, Maria; Kroll, Henning; Garcia Chavez, Cecilia; Berghäuser, Hendrik
    Abstract: This study covers two topics: (1) the analysis of international inventor mobility and cooperation with the focus on Germany; (2) a mobility analysis for researchers in critical career positions in the German research system (professors in German universities, directors of non-university public research organisations, European Research Council and Emmy Noether grant holders). The study of inventor mobility was informed by a literature review. Transnational patent applications in the database PATSTAT in the period of 2000-2020 were analysed. The findings indicate that more inventors leave Germany than come here, however, Germany is an important connecting hub in the international inventor mobility network. The mobility analysis for researchers in critical career positions uses scientific publications in the Scopus database during the years 2005-2021. The results show that international researchers are represented among the critical groups and constitute an important source of talent in the German science system.
    Date: 2024
    URL: http://d.repec.org/n?u=RePEc:zbw:efisdi:284387&r=ino
  8. By: R. A. Mashelkar (Former DG, CSIR); Ajay Shah (xKDR Forum); Susan Thomas (xKDR Forum)
    Abstract: At independence, India committed itself fully to foster, promote and sustain the creation of science and scientific research in all aspects. In this paper, we present first principles reasoning on the case for state action, and the optimal mechanisms for using taxpayer resources, to fulfill this commitment. We argue in favour of a reorientation of public spending on innovation: away from building vertical government organisations, and in favour of a contracting-out strategy. Such a strategy would induce knowledge and capabilities in the society, and through this, induce greater gains for the people of India. We present a preliminary sketch of the path to implementation.
    JEL: H11 H51 H52 H57 I18 I28 O32 O38
    Date: 2024–03
    URL: http://d.repec.org/n?u=RePEc:anf:wpaper:32&r=ino
  9. By: Florencia Jaccoud; Fabien Petit; Tommaso Ciarli; Maria Savona
    Abstract: This paper examines the labor market implications of investment in automation over the life cycle of ICT and robot technologies from 1995 to 2017 in 163 European regions. We first identify major technological breakthroughs during this period for these automation technologies and identify the phases of acceleration and deceleration in investment. We then examine how exposure to these automation technologies affects employment and wages across these different phases of their life cycle. We find that the negligible long term impact of automation on employment conceals significant short term positive and negative effects within phases of the technology life cycle. We also find that the negative impact of ICT investment on employment is driven by the phase of the cycle when investment decelerates (and the technology is more mature). The phases of the technology life cycles are more relevant than differences in regions’ structural characteristics, such as productivity and sector specialization in explaining the impact of automation on regional employment.
    Keywords: automation, technology life cycle, employment, wages, ICT, robot
    JEL: J21 O33 J31
    Date: 2024
    URL: http://d.repec.org/n?u=RePEc:ces:ceswps:_10987&r=ino
  10. By: Rodepeter, Elisa; Gschnaidtner, Christoph; Hottenrott, Hanna
    Abstract: Big Data (BD) is becoming widely available and manageable. This raises the question of whether Big Data Analytics (BDA) in companies leads to better decision-making andhence performance. Based on a large, representative set of start-ups in Germany, we study the adoption of BDA among small and young ventures and analyze its economic effects using various short- and longer-term performance measures. We investigate the effect of adopting BDA on the new ventures' cost structure, sales, profits, survival rate, growth, and their probability of receiving Venture Capital (VC) financing while taking into account fac tors that drive BDA adoption. Our findings, however, show that using BDA does not lead to an immediate competitive advantage in terms of the classical short-term performance measures. BDA adoption is rather associated with greater sales/profit uncertainty, higher (personnel) costs, and a higher probability of failure. Yet, the increased risk of adopting BDA is compensated by a prospect of higher long-term performance conditional on survival. BDA-adopting start-ups perform better than comparable ones when considering longer-term performance measures such as their growth and their ability to secure VC.
    Keywords: Big data, Innovation, Productivity, Start-ups, Survival, Venture capital
    Date: 2023
    URL: http://d.repec.org/n?u=RePEc:zbw:zewdip:283582&r=ino

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