Patstat-tietokannan hyödyntäminen tutkimuskäytössä

Patenttitiedot sisältävät monenlaista tietoa joka on julkisesti saatavilla. Patenttien tietoja tutkimalla voidaan selvittää monenlaisia asioita, kuten yritysten tekemiä patenttimääriä, patenttiluokitusten jakautumista ja patenttien maantieteellistä jakaumaa. Vielä 1980-luvulla patenttitietojen analysoiminen suuremmissa määrin oli vaikeaa, sillä tietokoneiden laskentateho oli riittämätön. Nyt laskentatehon räjähdysmäisen kasvun ansiosta patentteja voidaan tutkia miljoonia kappaleita kerrallaan. Tässä työssä tutkitaan patenttitietokantoja, tietokantaserverin pystyttämistä ja tietojen hyödyntämistä jatkokäytössä.

PATSTAT revisited

This study provides a comprehensive summary of and guidance for using the EPO Worldwide Patent Statistical Database (PATSTAT), one of the most widely used patent databases for researchers. We highlight the three most important issues that PATSTAT users must consider when performing patent data analyses and suggest ways to deal with those issues. Although PATSTAT is chosen in this study, the issues that we discuss are also applicable to other patent databases.

Yritysten teknologisen keskittymisen tutkiminen patenttianalyysin avulla Case: Apple, HTC, Nokia, Samsung

Työssä tutkitaan neljän matkapuhelinvalmistajan teknologista keskittymistä patenttianalyysin avulla. Tavoitteena on tutkia, onko yritysten patentoinnissa eroja sekä mihin eri teknologian osa-alueisiin yritykset patentoivat ja mihin eivät. Tavoitteen taustalla on selvittää, voidaanko patenttiaineistosta saada viitteitä yrityksen ydinosaamisesta. Työ koostuu kolmesta rakenteellisesta osiosta. Teoria esittelee patentit ja patenttiviittaukset. Patenttiaineisto on kerätty Lappeenrannan teknillisen yliopiston patenttipalvelimelta ja sitä on analysoitu tietokanta- sekä tilastollisen käsittelyn ohjelmalla. Tuloksista tehdyt analyysit yhdistetään teoriaan, jonka pohjalta tehdään johtopäätöksiä sekä suoritetaan vertailua yritysten kesken liittyen tutkimuskysymyksiin. Lopuksi arvioidaan aineiston ja tulosten luotettavuutta sekä esitetään mahdollisia jatkotutkimusaiheita.

The drivers and implications of environmental innovations: European evidence at different levels of analysis

The present work is a collection of three essays devoted at understanding the determinants and implications of the adoption of environmental innovations EI by firms, by adopting different but strictly related schumpeterian perspectives. Each of the essays is an empirical analysis that investigates one original research question, formulated to properly fill the gaps that emerged in previous literature, as the broad introduction of this thesis outlines. The first Chapter is devoted at understanding the determinants of EI by focusing on the role that knowledge sources external to the boundaries of the firm, such as those coming from business suppliers or customers or even research organizations, play in spurring their adoption. The second Chapter answers the question on what induces climate change technologies, adopting regional and sectoral lens, and explores the relation among green knowledge generation, inducement in climate change and environmental performances. Chapter 3 analyzes the economic implications of the adoption of EI for firms, and proposes to disentangle EI by different typologies of innovations, such as externality reducing innovations and energy and resource efficient innovations. Each Chapter exploits different dataset and heterogeneous econometric models, that allow a better extension of the results and to overcome the limits that the choice of one dataset with respect to its alternatives engenders. The first and third Chapter are based on an empirical investigation on microdata, i.e. firm level data extracted from innovation surveys. The second Chapter is based on the analysis of patent data in green technologies that have been extracted by the PATSTAT and REGPAT database. A general conclusive Chapter will follow the three essays and will outline how each Chapter filled the research gaps that emerged, how its results can be interpreted, which policy implications can be derived and which are the possible future lines of research in the field.

A flexible, scaleable approach to the international patent 'name game'. Bruegel Working Paper 2014/10i, September 2014

The inventors in PATSTAT are often duplicates: the same person or company may be split into multiple entries in PATSTAT, each associated to different patents. In this paper, we address this problem with an algorithm that efficiently de-duplicates the data. It needs minimal manual input and works well even on consumer-grade computers. Comparisons between entries are not limited to their names, and thus this algorithm is an improvement over earlier ones that required extensive manual work or overly cautious clean-up of the names.

Technological diversification and new innovators in European regions:evidence from patent data

This paper assesses the impact of regional technological diversification on the emergence of new innovators across EU regions. Integrating analyses from regional economics, economic geography and technological change literatures, we explore the role that the regional embeddedness of actors characterised by diverse technological competencies may have in fostering novel and sustained interactions leading to new technological combinations. In particular, we test whether greater technological diversification improve regional ‘combinatorial’ opportunities leading to the emergence of new innovators. The analysis is based on panel data obtained merging regional economic data from Eurostat and patent data from the CRIOS-PATSTAT database over the period 1997–2006, covering 178 regions across 10 EU Countries. Accounting for different measures of economic and innovative activity at the NUTS2 level, our findings suggest that the regional co-location of diverse technological competencies contributes to the entry of new innovators, thereby shaping technological change and industry dynamics. Thus, this paper brings to the fore a better understanding of the relationship between regional diversity and technological change.

Beyond local search:bridging platforms and inter-sectoral technological integration

This paper explores the dynamics of inter-sectoral technological integration by introducing the concept of bridging platform as a node of pervasive technologies, whose collective broad applicability may enhance the connection between ‘distant’ knowledge by offering a technological coupling. Using data on patents obtained from the CRIOS-PATSTAT database for four EU countries (Germany, UK, France and Italy), we provide empirical evidence that bridging platforms are likely to connect more effectively innovations across distant technological domains, fostering inter-sectoral technological integration and the development of original innovation. Public research organisations are also found to play a crucial role in terms of technological integration and original innovation due to their higher capacity to access and use bridging platforms within their innovation activities.