nep-ipr New Economics Papers
on Intellectual Property Rights
Issue of 2008‒02‒02
seven papers chosen by
Roland Kirstein
Otto von Guericke University Magdeburg

  1. Location and R&D alliances in the European ICT industry By Rajneesh Narula; Grazia D. Santangelo
  2. Creating Powerful Indicators for Innovation Studies with Approximate Matching Algorithms. A test based on PATSTAT and Amadeus databases. By Grid Thoma; Salvatore Torrisi
  3. Is Inter-Firm Labor Mobility a Channel of Knowledge spillovers? Evidence from a Linked Employer-Employee Panel By Maliranta, Mika; Mohnen, Pierre; Rouvinen, Petri
  4. Broad Cross-License Agreements andPersuasive Patent Litigation: Theory andEvidence from the Semiconductor Industry By Alberto Galasso
  5. Renewable Energy Policies And Technological Innovation: Evidence Based On Patent Counts By Nick Johnstone; Ivan Hascic; David Popp
  6. Inventors’ Response to Firm Acquisitions By Hussinger, Katrin
  7. Product Innovation and Survival in a High-Tech Industry. By Roberto Fontana; Lionel Nesta

  1. By: Rajneesh Narula (Department of Economics, University of Reading Business School); Grazia D. Santangelo (Facoltà di Scienze Politiche, Università degli Studi di Catania)
    Abstract: This paper shows empirically that in an intra-industry oligopolistic scenario the location of a firm’s innovative activities plays an important role in determining its partner selection in R&D alliances. Such a role is mainly attributed to a strategic use of R&D alliances as a means to limit knowledge flows and protect competences, rather than to promote knowledge flows. By drawing on a novel dataset matching alliances and patent data for the European ICT industry, the econometric analysis shows that partners’ prior co-location (at both national and sub-national regional level), previous ties and technological overlap matter in the choice of partner, while common nationality has a negative impact on alliance formation.
    Keywords: Alliances, R&D location, strategy, co-location, knowledge flows
    JEL: D23 F23 O18 O32 R3
    Date: 2007
    URL: http://d.repec.org/n?u=RePEc:rdg:emxxdp:em-dp2007-43&r=ipr
  2. By: Grid Thoma (Department of Mathematics and Computer Science, University of Camerino and CESPRI - Bocconi University, Milan, Italy.); Salvatore Torrisi (Department of Management, Univesity of Bologna and CESPRI - Bocconi University, Milan, Italy.)
    Abstract: The lack of firm-level data on innovative activities has always constrained the development of empirical studies on innovation. More recently, the availability of large datasets on indicators, such as R&D expenditures and patents, has relaxed these constrains and spurred the growth of a new wave of research. However, measuring innovation still remains a difficult task for reasons linked to the quality of available indicators and the difficulty of integrating innovation indicators to other firm-level data. As regards quality, data on R&D expenditures represent a measure of input but do not tell much about the ‘success’ of innovative activities. Moreover, especially in the case of European firms, data on R&D expenditures are often missing because reporting these expenditures is not required by accounting and fiscal regulations in some countries. An increasing number of studies have used patents counts as a measure of inventive output. However, crude patent counts are a biased indicator of inventive output because they do not account for differences in the value of patented inventions. This is the reason why innovation scholars have introduced various patent-related indicators as a measure of the ‘quality’ of the inventive output. Integrating these measures of inventive activity with other firm-level information, such as accounting and financial data, is another challenging task. A major problem in this field is represented by the difficulty of harmonizing information from different data sources. This is a relevant issue since inaccuracy in data merging and integration leads to measurement errors and biased results. An important source of measurement error arises from inaccuracies in matching data on innovators across different datasets. This study reports on a test of company names standardization and matching. Our test is based on two data sources: the PATSTAT patent database and the Amadeus accounting and financial dataset. Earlier studies have mostly relied on manual, ad-hoc methods. More recently scholars have started experimenting with automatic matching techniques. This paper contributes to this body of research by comparing two different approaches – the character-tocharacter match of standardized company names (perfect matching) and the approximate matching based on string similarity functions. Our results show that approximate matching yields substantial gains over perfect matching, in terms of frequency of positive matches, with a limited loss of precision – i.e., low rates of false matches and false negatives.
    Keywords: innovation statistics, patents, matching company names, software.
    JEL: C81 C88 O31 O34
    Date: 2007–12
    URL: http://d.repec.org/n?u=RePEc:cri:cespri:wp211&r=ipr
  3. By: Maliranta, Mika (The Research Institute of the Finnish Economy); Mohnen, Pierre (UNU-MERIT); Rouvinen, Petri (The Research Institute of the Finnish Economy)
    Abstract: An employer-employee panel is used to study whether the movement of workers across firms is a channel of unintended diffusion of R&D-generated knowledge. Somewhat surprisingly, hiring workers from others' R&D labs to one's own does not seem to be a significant spillover channel. Hiring workers previously in R&D to one's non-R&D activities, however, boosts both productivity and profitability. This is interpreted as evidence that these workers transmit knowledge that can be readily copied and implemented without much additional R&D effort.
    Keywords: Labor Mobility, R&D Spillovers, Profitability, Linked Employer-Employee Data
    JEL: D62 J24 J62 L25 O31
    Date: 2008
    URL: http://d.repec.org/n?u=RePEc:dgr:unumer:2008005&r=ipr
  4. By: Alberto Galasso
    Abstract: In many industries broad cross-license agreements are considered a useful method toobtain freedom to operate and to avoid patent litigation. In this paper I study thepreviously neglected dynamic trade-off between litigating and cross-licensing that firmsface to protect their intellectual property. I present a model of bargaining with learning inwhich firms' decisions to litigate or crosslicense depend on their investments intechnology specific assets. In particular the model predicts that where firms' sunk costsare higher, their incentive to litigate and delay a cross-license agreement is lower. Inaddition, the bargaining game shows how firms with intermediate values of assetspecificity tend to engage in inefficient "persuasive litigation". Using a novel dataset onthe US semiconductor industry I obtain empirical results consistent with those suggestedby the model. Combining model intuition with some empirical figures, I evaluate possibleeffects of the currently debated patent litigation reform.
    Keywords: cross-license, patent litigation, bargaining, semiconductors.
    JEL: C78 L63
    Date: 2007–07
    URL: http://d.repec.org/n?u=RePEc:cep:stieip:45&r=ipr
  5. By: Nick Johnstone; Ivan Hascic; David Popp
    Abstract: This paper examines the effect of environmental policies on technological innovation in the specific case of renewable energy. The analysis is conducted using patent data on a panel of 25 countries over the period 1978-2003. It is found that public policy plays a significant role in determining patent applications. Different types of policy instruments are effective for different renewable energy sources.
    JEL: O34 O38 Q55 Q58
    Date: 2008–01
    URL: http://d.repec.org/n?u=RePEc:nbr:nberwo:13760&r=ipr
  6. By: Hussinger, Katrin
    Abstract: Mergers and acquisitions (M&As) constitute a disruption to the working environment of the inventive labor force of the acquired company. If inventors would respond with a decline of their patent productivity or departure from the firm this can be detrimental to the innovative process within the merged entity and can be contradictory to the aims of the firm acquisition. This paper provides empirical evidence on post-merger mobility and productivity of 673 inventors employed by European acquisition targets in the years 2000 and 2001. The empirical results show that 1.) the most productive and experienced individuals stay with the merged entity; 2.) inventors that left the acquired firm are less productive in post-merger years than those that stayed with the merged entity; 3.) M&As trigger inventor mobility, but do not lead to a decline in patent productivity if compared to a control group of inventors that have not been involved in a firm acquisition.
    Keywords: M&As, inventor mobility and productivity
    JEL: C24 G34 O32
    Date: 2007
    URL: http://d.repec.org/n?u=RePEc:zbw:zewdip:6898&r=ipr
  7. By: Roberto Fontana (Department of Economics, University of Pavia and CESPRI - Bocconi University, Milan, Italy.); Lionel Nesta (Observatoire Fran»cais des Conjonctures Economiques, D¶epartement de Recherche sur l'Innovation et la Concurrence, Valbonne, France.)
    Abstract: We investigate the relationship between product innovation and firm survival for a sample of 121 firms in a high-tech industry. We find that location near the technological frontier is an important determinant of fim survival. Firms located near the frontier are also more likely to be acquired than to exit by failure if they cannot survive. This suggests that product location in the technology space acts as a signal of firm quality. Possessing a substantial stock of intangible capital, on the other hand, determines neither exit via failure nor exit via acquisition, although it increases the probability of surviving.
    Keywords: Product innovation, survival, high-tech industry
    JEL: L25 L63 O32
    Date: 2007–12
    URL: http://d.repec.org/n?u=RePEc:cri:cespri:wp208&r=ipr

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