nep-tid New Economics Papers
on Technology and Industrial Dynamics
Issue of 2006‒11‒04
eight papers chosen by
Roberto Fontana
Universita Bocconi

  1. Patent citations indicating present value of the biotechnology business By Tuomo Nikulainen; Raine Hermans; Martti Kulvik
  2. University Patenting: Estimating the Diminishing Breadth of Knowledge Diffusion and Consumption By Carlos Rosell; Ajay Agrawal
  3. Skill vs. Luck in Entrepreneurship and Venture Capital: Evidence from Serial Entrepreneurs By Paul Gompers; Anna Kovner; Josh Lerner; David Scharfstein
  4. The Keins Database on Academic Inventors: Methodology and Contents By Francesco Lissoni; Bulat Sanditov; Gianluca Tarasconi
  5. Knowledge Transfer Trough Job Mobility: Evidence from a Survey of Italian Inventors By Camilla Lenzi
  6. A STUDY OF SCIENCE-INDUSTRY COLLABORATIVE PATTERNS IN A LARGE EUROPEAN UNIVERSITY. By Rachel Levy; Pascale Roux; Sandrine Wolff
  7. Mobility of inventors and the geography of knowledge spillovers. New evidence on US data By Stefano Breschi; Francesco Lissoni
  8. Innovate or Die? A critical review of the literature on innovation and performance By Stefano Brusoni; Elena Cefis; Luigi Orsenigo

  1. By: Tuomo Nikulainen; Raine Hermans; Martti Kulvik
    Keywords: patents, patent citations, biotechnology
    JEL: O30 M21 L25
    Date: 2006–10–26
    URL: http://d.repec.org/n?u=RePEc:rif:dpaper:1048&r=tid
  2. By: Carlos Rosell; Ajay Agrawal
    Abstract: The rate of university patenting increased dramatically during the 1980s. To what extent did the knowledge flow patterns associated with public sector inventions change as university administrators and faculty seemingly became more commercially oriented? Using a Herfindahl-type measure of patent assignee concentration and employing a difference-in-differences estimation to compare university to firm patents across two time periods, we find that the university diffusion premium (the degree to which knowledge flows from patented university inventions are more widely distributed across assignees than those of firms) declined by over half during the 1980s. In addition, we find that the university diversity premium (the degree to which knowledge inflows used to develop patented university inventions are drawn from a less concentrated set of prior art holders than those used by firms) also declined by over half. Moreover, in both cases the estimated increase in knowledge flow concentration is largely driven by universities experienced in patenting, suggesting these phenomena are not likely to dissipate with experience.
    JEL: I23 O33 O34
    Date: 2006–10
    URL: http://d.repec.org/n?u=RePEc:nbr:nberwo:12640&r=tid
  3. By: Paul Gompers; Anna Kovner; Josh Lerner; David Scharfstein
    Abstract: This paper argues that a large component of success in entrepreneurship and venture capital can be attributed to skill. We show that entrepreneurs with a track record of success are more likely to succeed than first time entrepreneurs and those who have previously failed. Funding by more experienced venture capital firms enhances the chance of success, but only for entrepreneurs without a successful track record. Similarly, more experienced venture capitalists are able to identify and invest in first time entrepreneurs who are more likely to become serial entrepreneurs. Investments by venture capitalists in successful serial entrepreneurs generate higher returns for their venture capital investors. This finding provides further support for the role of skill in both entrepreneurship and venture capital.
    JEL: G24
    Date: 2006–10
    URL: http://d.repec.org/n?u=RePEc:nbr:nberwo:12592&r=tid
  4. By: Francesco Lissoni (University of Brescia and CESPRI-Bocconi University,Italy.); Bulat Sanditov (CESPRI-Bocconi University, Italy and MERIT-Maastricht University, The Netherlands.); Gianluca Tarasconi (CESPRI-Bocconi University, Milan, Italy.)
    Abstract: The paper describes the methodogy used to build a database on academic inventors from France, Italy, and Sweden (1978-2004), which was delivered to the European Commission as part of the KEINS project (Knowledge-Based Entrepreneurship: Innovation, Networks and Systems), and will provide the basis for future publications. It provides an overview of the database contents, as well as information on access rules and on related datasets by CESPRI-Università Bocconi. The database is the result of joint efforts by CESPRI-Università Bocconi (Milan, IT), BETA – Universitè “Louis Pasteur” (Strasbourg, FR), IMIT-Chalmers University (Gotheborg, SE), Umea Universitet (SE), and Università degli studi di Brescia (IT).
    Keywords: University patents, European universities, Patent database.
    JEL: C81 I23 O34
    Date: 2006–09
    URL: http://d.repec.org/n?u=RePEc:cri:cespri:wp181&r=tid
  5. By: Camilla Lenzi (CESPRI-Bocconi University, Milano,Italy.)
    Abstract: Knowledge transfer issues are of great interest in researchers and policy makers agenda because of its implications in terms of innovation diffusion and economic welfare. Among the others, workers’ mobility, namely highly skilled ones, is considered as one of the most influential channels for knowledge transmission. This paper examines the patterns of mobility of a group of Italian inventors in the pharmaceutical sector. New empirical evidence is discussed and results of the analysis support the idea that workers’ mobility is an important mechanism of valuable knowledge diffusion. Moreover, the paper critically discusses methodological issues concerning measures of inventors’ mobility through patent statistics.
    Keywords: Knowledge transfer, Mobility, Inventor, Productivity.
    JEL: J60 O30
    Date: 2006–10
    URL: http://d.repec.org/n?u=RePEc:cri:cespri:wp182&r=tid
  6. By: Rachel Levy; Pascale Roux; Sandrine Wolff
    Abstract: This paper analyses the modalities according to which a large European university collaborates with firms by exploring its relational portfolio. We address this issue by exploiting a database listing more than 1000 firms having collaborated with the University Louis Pasteur between 1990 and 2002. First, using multi-correspondence analysis, we derive a four-classes typology of collaborative behaviours, each of them presenting a strong internal coherence. We obtain four distinct collaboration patterms, for which the frequency of interactions and the exclusive vs. open character of the relationships are discriminating features. Second, using a multinomial logit estimation, we show how this diversity is connected to some individual attributes of the firms: size, legal status, industrial sector and geographic distance from the public partner.
    Keywords: Science-industry collaborations; Typology; Industrial collaboration patterns.
    JEL: L21 L31 O32
    Date: 2006
    URL: http://d.repec.org/n?u=RePEc:ulp:sbbeta:2006-27&r=tid
  7. By: Stefano Breschi (CESPRI-Bocconi University, Milan, Italy); Francesco Lissoni (Brescia University and CESPRI-Bocconi University, Italy)
    Abstract: In this paper we exploit new data on US inventors in Organic Chemistry, Pharmaceuticals, and Biotechnology to revisit the JTH test of the localization of knowledge spillovers (Jaffe, Trajtenberg, and Henderson; 1993). We find that inventors who patent across different companies contribute extensively to the observed citation patterns, both directly (through personal self-citations) and indirectly, by linking the various companies via a social network conducive to more citations. To the extent that the geographical mobility of these “cross-firm” inventors is quite limited, the resulting social networks and citations patterns are found to be bounded in space. We conclude that spatial distance, as measured in the JTH experiment, is just a proxy for a much more important variable, such as social distance between inventors. In a similar vein, we show that technological distance, introduced by Thompson and Fox-Kean (2005) to question the soundness of the JTH experiment, is also a proxy of social distance.
    Keywords: Knowledge diffusion, Localized spillovers, Social networks
    JEL: O33 R12 Z13
    Date: 2006–10
    URL: http://d.repec.org/n?u=RePEc:cri:cespri:wp184&r=tid
  8. By: Stefano Brusoni (CESPRI-CRORA, Bocconi University and Silvio Tronchetti-Provera Foundation, Milano,Italy.); Elena Cefis (Utrecht School of Economics, Utrecht University and Bergamo University); Luigi Orsenigo (University of Brescia and CESPRI, Bocconi University, Italy)
    Abstract: The idea that innovation leads to positive economic performance has become a sort of truism in recent years. However, empirical evidence showing that innovating organizations and countries outperform non-innovating ones remains scant and scattered. In many ways, the jury is still out. First of all, there is still little agreement about what ‘performance’ means. The range of indicators adopted in the literature varies widely: financial performance, market shares, new products introduced into the market, patents, GDP growth, and so on. Second, the time lag between innovative efforts and performance is often so large, and so industry specific, that it remains just very hard to produce reliable estimates. Third, it is still unclear at what level of analysis one should go looking for positive economic performance. Studies exist that look at the relationship between performance and innovation at the level of design teams, projects, firms, networks, industries, and countries. This paper aims at critically reviewing the wide, yet remarkably scattered literature that aims at measuring and explaining the relationship between innovation and performance. It builds upon an extensive review of contributions in economics, management and organisation sciences to identify trends and results that are consistent and robust. In a nutshell, this paper argues that country- and sectoral-level approaches which emphasize the role that knowledge, spillovers and human capital play in fostering economic growth trough innovation need to consider the fundamental role played by competition among heterogeneous organisations in igniting the growth process. In this respect, micro-and firm-level studies can provide useful insights about how competition fosters learning, innovation and ultimately growth.
    Keywords: Innovation, Growth, Knowledge, Performance, Competition.
    JEL: O14 O33 O40
    Date: 2006–08
    URL: http://d.repec.org/n?u=RePEc:cri:cespri:wp179&r=tid

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