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This paper has two objectives. First, it describes a new database mapping migratory patterns of inventors, extracted from information included in patent applications filed under the Patent Cooperation Treaty. It explains in detail the information contained in the database and discusses the usefulness and reliability of the underlying data. Second, the paper provides a descriptive overview of inventor migration patterns, based on the information contained in the newly constructed database.
This paper discusses the existing literature on migration and innovation, with special emphasis on empirical studies based on patent and inventor data. Other sources of micro-data are examined, too, for comparative purposes. A pilot database, based on patent filings at the European Patent Office is presented. It contains information on individual inventors, including their country of residence and of origin. Preliminary evidence suggests that immigrant inventors contribute to innovation not only in the United States, but also in selected European countries, where they often rank among the most productive individuals.
Today’s production processes are fragmented across countries and industries. Intangibles play an important role, but their measurement is elusive. This paper proposes a new empirical framework to measure factor incomes in production that spans industries and countries.
This paper has two objectives. First, it describes a new database mapping migratory patterns of inventors, extracted from information included in patent applications filed under the Patent Cooperation Treaty. We explain in detail the information contained in the database and discuss the usefulness and reliability of the underlying data. Second, the paper provides a descriptive overview of inventor migration patterns, based on the information contained in the newly constructed database. Among the largest receiving countries, we find that the United States exhibits by far the highest inventor immigration rate, followed by Australia and Canada. European countries lag behind in attracting inventive talent; in addition, France, Germany, and the UK see more inventors emigrating than immigrating. In relation to the number of home country inventors, Central American, Caribbean and African economies show the largest inventor brain drain.
The international mobility of talented individuals is a key part of globalization. In the quest to promote innovation and entrepreneurship, many governments have sought to attract skilled migrants from abroad, inciting both a global competition for talent and concerns about the displacement of domestic workers. This important new work investigates why skilled individuals migrate and how they shape innovation around the world. Using patent data from the World Intellectual Property Organization (WIPO), it charts patterns of high-skilled migration worldwide. In addition, contributions by leading migration scholars review the latest research insights, discuss new approaches to studying high-skilled migration and present fresh evidence on the causes and consequences of greater talent mobility. This book will prove invaluable to policymakers seeking to understand how migration policy choices affect innovation outcomes as well as academic researchers interested in the migration-innovation nexus.
This paper analyzes the gender of inventors in international patent applications. We compile a worldwide gender-name dictionary, which includes 6.2 million names for 182 different countries to disambiguate the gender of PCT inventors. Our results suggest that there is a gender imbalance in PCT applications, but the proportion of women inventors is improving over time. We also find that the rates of women participation differ substantially across countries, technological fields and sectors.
In this paper, the authors describe and explore a new algorithmic approach to constructing concordances between the International Patent Classification (IPC) system and industry classification systems that organize economic data. This ‘Algorithmic Links with Probabilities’ (ALP) approach incorporates text analysis software and keyword extraction programs and applies them to a comprehensive patent dataset. The authors conclude with a discussion on some of the possible applications of the concordance and provide a sample analysis that uses their preferred ALP concordance to analyze international patent flows based on trade patterns.
The number of immigrants in the US science, technology, engineering, and mathematics (STEM) workforce and among recipients of advanced STEM degrees at US universities has increased in recent decades. In light of the current public debate about immigration, there is a need for evidence on the economic impacts of immigrants on the STEM workforce and on innovation. Using new data and state-of-the-art empirical methods, this volume examines various aspects of the relationships between immigration, innovation, and entrepreneurship, including the effects of changes in the number of immigrants and their skill composition on the rate of innovation; the relationship between high-skilled immigration and entrepreneurship; and the differences between immigrant and native entrepreneurs. It presents new evidence on the postgraduation migration patterns of STEM doctoral recipients, in particular the likelihood these graduates will return to their home country. This volume also examines the role of the US higher education system and of US visa policy in attracting foreign students for graduate study and retaining them after graduation.
Presents the proceedings of two workshops on productivity measurement and analysis, which brought together representatives of statistical offices, central banks and other officials involved with the analysis and measurement of productivity at aggregate and industry levels.
Traditionally, the mining sector has been considered a slow innovator compared to other industries, like the manufacturing or pharmaceutical industries. However, we observe an upsurge in the innovation activity of the mining industry in the first half of the 2000s. During this period, mining innovation started to increase rapidly after periods of stagnation and downward trends. To conduct and in-depth investigation of the global trends and patterns behind this structural change in mining innovation, we formulated a general search strategy to identify patent activity in this sector. The strategy is repeatable over time and in multiple databases. It enabled us to produce a dataset of patents in mining and mining-related technologies. Using this newly-created database we identified at the basis of the structural change a switch away from refining technologies into exploration and environmental technologies probably explained by the took over of the so-called 4th Industrial Revolution. The types of actors active in the mining innovation also changed across time: there are now many more individuals, research centers and universities innovating in mining and relatively less companies. Finally, the country composition in the pool of mining innovation activity has radically changed with the appearance of China on the global scene starting from early 2000.