nep-ipr New Economics Papers
on Intellectual Property Rights
Issue of 2009‒12‒05
four papers chosen by
Roland Kirstein
Otto von Guericke University Magdeburg

  1. Patent family data and statistics at the European Patent Office By Walter G. Park; Peter Hingley
  2. Prizes and Patents: Using Market Signals to Provide Incentives for Innovations By V. V. Chari; Mikhail Golosov; Aleh Tsyvinski
  3. Innovation, Productivity and Export: the case of Hungary By László Halpern; Balázs Muraközy
  4. Productivity effects of innovation modes By Polder, Michael; Leeuwen, George van; Mohnen, Pierre; Raymond, Wladimir

  1. By: Walter G. Park; Peter Hingley
    Abstract: At the European Patent Office (EPO) a comprehensive data file called PRI is maintained of patent families. The file records are based on published patent documents, indexed by the priority number of the first patent filing, with information on subsequent patenting activities for that invention in the four major economic blocs: EPC contracting states, Japan, USA and Others. It is possible to filter the data in order to highlight the most important inventions, for example by selecting Trilateral patent families that lead to patenting activity in EPC contracting states (including EPO), Japan and USA. The relationship between patent families and subsequent filings is not one-to-one. In order to compare calculated figures from the EPO data set with an alternative system of consolidated families, it is suggested that bounds may be calculable for numbers of consolidated families by taking account of the overall numbers of network links between priority forming first filings and subsequent filings. The key to this methodology is the identification of all the links between first filings and subsequent filings in a family. There is a timeliness problem caused by a considerable delay between the date of first filing and the appearance of a publication that can index a patent family. A method is described by which more up-to-date counts of families (numbers of priorities) can be made by augmenting the database with information that is available in the distinct filings databases at the patent offices. The families data set can be used to investigate the patenting behaviour by individual companies, industries, countries or economic blocs, or to study changing patterns of technology in world-wide industrial research. Some representative data are presented over a series of years that show increasing trends for the numbers of world-wide first filings, for numbers of filings flowing from one country to another, for numbers of patent families making use of the PCT system, and for the numbers of families within the EPC contracting states area that make use of the EPO. Good forecasts for numbers of patent filings at the EPO are needed for the purpose of internal resource requirements planning. An initial attempt is described to set up an econometric model for the development of subsequent filings at the EPO, based on patent families information and on concomitant variables including source country R&D stock per worker and source country GDP per capita. It may eventually be possible to generalise a successful model of this type in order to predict filings flows to and from all the major patent offices.
    Date: 2009–07
    URL: http://d.repec.org/n?u=RePEc:amu:wpaper:2009-08&r=ipr
  2. By: V. V. Chari; Mikhail Golosov; Aleh Tsyvinski
    Date: 2009–12–01
    URL: http://d.repec.org/n?u=RePEc:cla:levarc:814577000000000398&r=ipr
  3. By: László Halpern; Balázs Muraközy
    Abstract: This paper estimates the relationship between innovation and firm performance by using Community Innovation Survey data for Hungary. It exploits the possibility of linking the innovation data to ownership and disaggregated trade data. Innovative firms are more productive, more likely to trade and export into more countries. Foreign firms are more likely to innovate compared to similar domestic firms, but the amount of R&D is a weaker predictor of the innovative output of foreign firms.
    Date: 2009–12–02
    URL: http://d.repec.org/n?u=RePEc:cfg:cfigwp:10&r=ipr
  4. By: Polder, Michael; Leeuwen, George van; Mohnen, Pierre; Raymond, Wladimir
    Abstract: Many empirical studies have confirmed the positive impact of innovation on productivity at the firm level. The focus tends to be either on R&D driven techno-logical innovation on the one hand, or on organisational changes complemented by ICT on the other. To investigate the effect of different types of innovations on produc-tivity, we propose a model with two innovation input equations (R&D and ICT) that feed into a knowledge production function consisting of a system of three innovation output equations (product innovation, process innovation and organisational innova-tion), which ultimately feeds into a productivity equation. We find that ICT is an im-portant driver of innovation in both manufacturing and services. Doing more R&D has a positive effect on product innovation in manufacturing. Organisational innova-tion has the strongest productivity effects. We only find positive effects of product and process innovation when combined with an organisational innovation.
    Keywords: technological innovation; non-technological innovation; ICT; R&D; productivity; trivariate probit; CDM model;
    JEL: O30 D24
    Date: 2009
    URL: http://d.repec.org/n?u=RePEc:pra:mprapa:18893&r=ipr

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