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on Technology and Industrial Dynamics |
| By: | David H. Autor; David Dorn; Gordon H. Hanson; Gary Pisano; Pian Shu |
| Abstract: | Manufacturing accounts for more than three-quarters of U.S. corporate patents. The competitive shock to this sector emanating from China’s economic ascent could in theory either augment or stifle U.S. innovation. Using three decades of U.S. patents matched to corporate owners, we quantify how foreign competition affects domestic innovation. Rising import exposure intensifies competitive pressure, reducing sales, profitability, and R&D expenditure at U.S. firms. Accounting for confounding sectoral patenting trends, we find that U.S. patent production declines in sectors facing greater import competition. This adverse effect is larger among initially less profitable and less capital-intensive firms. |
| Keywords: | innovation, patents, trade |
| JEL: | F10 O31 |
| Date: | 2019 |
| URL: | http://d.repec.org/n?u=RePEc:ces:ceswps:_7865&r=all |
| By: | Gaessler, Fabian; Harhoff, Dietmar; Sorg, Stefan |
| Abstract: | We investigate the causal effect of patent rights on cumulative innovation, using large-scale data that approximate the patent universe in its technological and economic variety. We introduce a novel instrumental variable for patent invalidation that exploits personnel scarcity in post-grant opposition at the European Patent Ofï¬ ce. We ï¬ nd that patent invalidation leads to a highly signiï¬ cant and sizeable increase of follow-on inventions. The effect is driven by cases where the removal of the individual exclusion right creates substantial freedom to operate for third parties. Importantly, our results suggest that bargaining failure between original and follow-on innovators is not limited to environments commonly associated with high transaction costs. |
| Keywords: | bargaining failure; Cumulative innovation; freedom to operate; opposition; patents |
| JEL: | K41 L24 O31 O32 O33 O34 |
| Date: | 2019–08 |
| URL: | http://d.repec.org/n?u=RePEc:cpr:ceprdp:13969&r=all |
| By: | Pietro Santoleri |
| Abstract: | Recent research has underscored the prominent role played by a small fraction of fast-growing new firms in contributing to aggregate net employment growth. While it is typically assumed that those firms experience this superior performance thanks to their ability in undertaking technological innovation, few empirical studies have explicitly addressed this issue. This article examines the innovation-employment nexus for start-ups using the Kauffman Firm Survey (KFS), a unique longitudinal dataset tracking a single cohort of US firms founded in 2004. Results based on fixed effects panel quantile regressions indicate an overall positive but heterogeneous effect of innovation activities on the conditional employment growth distribution. More in detail, the findings reveal that both research and development (R&D) and patents have a positive association with employment growth especially for those new firms experiencing high-growth. |
| Keywords: | new firms; high-growth; innovation; employment growth; panel quantile regressions. |
| Date: | 2019–10–15 |
| URL: | http://d.repec.org/n?u=RePEc:ssa:lemwps:2019/31&r=all |
| By: | Silvia Appelt; Fernando Galindo-Rueda; Ana Cinta González Cabral |
| Abstract: | Investment in research and experimental development (R&D) is an important driver of innovation and economic growth. Over the past two decades, tax incentives have become a key policy instrument for promoting business R&D. This raises a number of policy questions: How has the role of tax incentives in the R&D support policy mix evolved across OECD countries and other major economies? How generous are tax relief provisions for different types of firms? How effective are they in stimulating business R&D investment? The OECD R&D Tax Incentives Database (http://oe.cd/rdtax) aims to contribute to the data infrastructure available to policy makers and researchers to examine the use and impact of R&D tax incentives across OECD countries and partner economies. This paper provides a practical guide to using this new database, describing the recently released R&D tax incentive data and highlighting their potential for internationally comparative work through descriptive indicators and econometric analysis. |
| Date: | 2019–10–15 |
| URL: | http://d.repec.org/n?u=RePEc:oec:stiaaa:2019/06-en&r=all |
| By: | Laura Barbieri (Dipartimento di Scienze Economiche e Sociali, DISCE, Università Cattolica del Sacro Cuore); Chiara Mussida (Dipartimento di Scienze Economiche e Sociali, DISCE, Università Cattolica del Sacro Cuore); Mariacristina Piva (Dipartimento di Politica Economica, DISCE, Università Cattolica del Sacro Cuore); Marco Vivarelli (Dipartimento di Politica Economica, DISCE, Università Cattolica del Sacro Cuore - UNU-MERIT, Maastricht, The Netherlands and IZA, Bonn, Germany) |
| Abstract: | The present technological revolution, characterized by the pervasive and growing presence of robots, automation, Artificial Intelligence and machine learning, is going to transform societies and economic systems. However, this is not the first technological revolution humankind has been facing, but it is probably the very first one with such an accelerated diffusion pace involving all the industrial sectors. Studying its mechanisms and consequences (will the world turn into a jobless society or not?), mainly considering the labor market dynamics, is a crucial matter. This paper aims at providing an updated picture of main empirical evidence on the relationship between new technologies and employment both in terms of overall consequences on the number of employees, tasks required, and wage/inequality effect. |
| Keywords: | technology, innovation, employment, skill, task, routine |
| JEL: | O33 |
| Date: | 2019–09 |
| URL: | http://d.repec.org/n?u=RePEc:ctc:serie5:dipe0006&r=all |
| By: | Naudé, Wim (Maastricht University) |
| Abstract: | This paper shows that African economies have generally not de-industrialized, that manufacturing growth is very possible, and moreover that the contribution of manufacturing in Africa has been underestimated. As far as the future is concerned, African countries will in differing degrees experience three varieties of industrialization, all influenced by new and emerging technologies. In one variety, labelled "acquiring traditional manufacturing capabilities" technological change is too fast and complex for some countries to immediately benefit, requiring an estimated 15-year window to put the complementary investments and business ecosystems in place, while promoting old-fashioned labor-intensive manufacturing. In a second variety, technological innovation is changing the nature of manufacturing and is turning services into the main sector for structural transformation. This variety is labelled "fostering sectors with the characteristics of manufacturing" to denote that services now perform functions previously expected from manufacturing. A third variety of future industrialization is labelled "resurgent entrepreneurship-lead industrialization" denoting that some African countries will take part in new and advanced types of manufacturing, through indigenous entrepreneurs starting high-technology firms. This third variety is elaborated with reference to recent examples. The paper concludes with broad suggestions for industrial policies that are consistent with these varieties of industrialization. |
| Keywords: | technology, entrepreneurship, manufacturing, industrial policy, Africa |
| JEL: | O47 O33 J24 E21 E25 |
| Date: | 2019–10 |
| URL: | http://d.repec.org/n?u=RePEc:iza:izadps:dp12678&r=all |
| By: | Mafini Dosso (European Commission - JRC); Didier Lebert (ENSTA ParisTech, UniversiteÌ Paris-Saclay (France)) |
| Abstract: | This exploratory study looks at the structural and geographical patterns of corporate knowledge flows from a regional perspective. The methodological approach combines the centrality indicators developed in the social network analysis (SNA) and complementary tools from the graphs theory to assess the betweenness centrality of regions (or poles)- their ability to control knowledge flows within a network or to impact its cohesiveness - and the relative contribution of individual firms (or layers) to the centrality of regions. The combination of the two approaches brings relevant insights on the way large R&D-driven firms organise their knowledge sourcing and generation across world regions |
| Keywords: | patent citations; knowledge flows; graphs theory; regions; top corporate R&D investors. |
| JEL: | L14 O33 R58 |
| Date: | 2019–10 |
| URL: | http://d.repec.org/n?u=RePEc:ipt:wpaper:201903&r=all |
| By: | Gernot Hutschenreiter (OECD); Johannes Weber (OECD); Christian Rammer (Centre for European Economic Research) |
| Abstract: | This policy paper outlines major policy trends in public support of innovation activities in industry and SMEs across OECD countries. It discusses the policy mix to strengthen business R&D and innovation, and possible avenues to improve this mix in response to evolving needs, driven new trends in technology and other factors. Across the OECD, governments strive to reinforce international competitiveness through a variety of policy initiatives supporting business innovation. In particular, these initiatives facilitate the technological upgrading of existing industries and the development of strategic sectors. Twelve case studies discuss selected initiatives in the following areas: Support for innovative enterprises and clusters, development of strategic industrial sectors in particular in manufacturing, and the transition of industry towards new production methods (Industry 4.0). While the dimensions for the effective implementation of these initiatives vary, this paper identifies some features that may help identify good practices in their design, implementation and evaluation. |
| Date: | 2019–10–17 |
| URL: | http://d.repec.org/n?u=RePEc:oec:stiaac:82-en&r=all |
| By: | Arianna Martinelli; Elena Romito |
| Abstract: | This paper investigates the effect of patenting on follow-on knowledge in cancer research. Using a difference-in-difference approach on an original dataset of patent-paper-pairs we are able to estimate the causal effect of the granting of a patent on scientic development in the same domain. Furthermore, we disentangle between private companies and universities in order to assess whether patenting impacts differently on the two groups. In addition, we study to which extend the degree of applicability of an innovation is further affects the relation. To address these issues we build a novel dataset matching patent data (retrieved from USPTO) and publication data (retrieved from Thompson-Web of Science). Results show that patenting reduces the rate of citations of the paired publication indicating a decrease of related scientic activity only in case the citing agent belongs to a public institution. In addition, the the more invention is applied, the weaker is the negative effect. This paper makes a contribution to the debate on IPR and economics of science. |
| Keywords: | IPRs; Patent; Scientific publications; Applicability. |
| Date: | 2019–10–15 |
| URL: | http://d.repec.org/n?u=RePEc:ssa:lemwps:2019/32&r=all |
| By: | Holger Graf; Tom Broekel |
| Abstract: | Cluster policies are often intended and designed to promote interaction in R&D among co-located organisations, as local knowledge interactions are perceived to be underdeveloped. In contrast to the popularity of the policy measure little is known about its impact on knowledge networks, because most scientific evaluations focus on impacts at the firm level. Using the example of the BioRegio contest, we explore cluster policy effects on local patent co-application and co-invention networks observed from 1985 to 2013, in 17 German regions. We find that the initiative increases network size and innovation activities during the funding period but not afterwards. The impact of the BioRegio contest on network cohesion is moderate. In contrast, general project-based R&D subsidisation is found to support cohesion more robustly. |
| Keywords: | Cluster Policy, Knowledge Networks, Network Analysis, Patent Data, Regional Innovation, Policy Evaluation |
| JEL: | O31 Z13 |
| Date: | 2019–10 |
| URL: | http://d.repec.org/n?u=RePEc:egu:wpaper:1927&r=all |
| By: | Sara Amoroso (European Commission - JRC); Simone Vannuccini |
| Abstract: | The participation of top R&D players to publicly funded research collaborations is a common yet unexplored phenomenon. If, on the one hand, including top R&D firms creates opportunities for knowledge spillovers and increases the chance for a project to be funded, on the other hand, the uneven nature of such partnerships and the asymmetry in knowledge appropriation capabilities could hinder the overall performance of such collaborations. In this paper, we study the role of top R&D investors in the performance of publicly funded R&D consortia (in terms of number of patents and publications). Using a unique dataset that matches information on R&D collaborative projects and proposals with data on international top R&D firms, we find that indeed teaming up with leading R&D firms increases the probability to obtain funds. However, the participation of such R&D leaders hinders the innovative performance of the funded projects, both in terms of patents and publications. In light of this evidence, the benefits of mobilizing top R&D players should be carefully leveraged in the evaluation and design of innovation policies aimed at R&D collaboration and technology diffusion. |
| Keywords: | Collaboration, public funding, innovation performance, appropriability, top R&D investor |
| Date: | 2019–10 |
| URL: | http://d.repec.org/n?u=RePEc:ipt:wpaper:201905&r=all |
| By: | Grimpe, Christoph; Sofka, Wolfgang; Schulz, Philipp; Borchhardt, Geoffrey Thilo |
| Abstract: | Functioning markets for technology are an important determinant for the type, scope and distribution of innovation activities in an economy. However, markets for technology are often underdeveloped or inefficient. Existing theory attributes such imperfections to the supply side or differences in market designs. We know comparatively little, though, about the structural forces that shape the demand side of markets for technology. In this study, we reason that demand depends on the sectoral pattern of innovation and the distance of a country's industry to the global technological frontier. We explore these dimensions based on longitudinal industry-level data from the Community Innovation Survey. We find that the demand on markets for technology is particularly driven by science-based industries and to a lesser degree by scale-intensive industries. Demand decreases, though, the closer industries are to the technological frontier. These findings highlight sector specific opportunities and constraints for policies promoting markets for technology. |
| Keywords: | markets for technology,demand side,patterns of innovation,sectoral studies |
| JEL: | L10 O32 O34 |
| Date: | 2019 |
| URL: | http://d.repec.org/n?u=RePEc:zbw:zewdip:19043&r=all |