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Understanding Industrial Property
This booklet provides an introduction for newcomers to the subject of industrial property. It explains the principles underpinning industrial property rights, and describes the most common forms of industrial property, including patents and utility models for inventions, industrial designs, trademarks and geographical indications.
Año de publicación: 2016
WIPO IP Facts and Figures 2015
An overview of intellectual property activity based on the latest available year of complete statistics.
World Intellectual Property Indicators - 2015
This annual publication provides a wide range of indicators covering the following areas of intellectual property: patents, utility models, trademarks, industrial designs, microorganisms and plant variety protection. It draws on data from national and regional IP offices, WIPO and the World Bank.
Año de publicación: 2015
Madrid Yearly Review 2015
International Registration of Marks
Comprehensive facts, figures and analysis of the international registration of marks.
WIPO IP Facts and Figures 2014
World Intellectual Property Indicators - 2014
Año de publicación: 2014
Madrid Experience Sharing Report
Japan's Experience in Joining and Using the Madrid System
This publication is the result of a WIPO research report on Japan's experience in acceding to the Madrid system for the international registration of marks.
Madrid Yearly Review 2014
Brands as Productive Assets: Concepts, Measurement, and Global Trends
Economic Research Working Paper No. 13
The paper looks at brands from an economic point of view. It defines concepts; analyzes the conditions under which brands are long-lived productive assets and contribute to economic growth; and reviews the measurement of investment in brands. It finds that a productive role for brands is consistent with assumptions used in the economic analysis of innovation. Finally it offers an analysis of economic development that suggests branding rises with growth.
An "Algorithmic Links with Probabilities" Concordance for Trademarks For Disaggregated Analysis of Trademark and Economic Data
Economic Research Working Paper No. 14
The authors propose an ‘Algorithmic Links with Probabilities' (ALP) approach to match Trademarks (TMs) data to economic data and enable these data to speak to each other. Specifically, they construct a NICE Class Level concordance that maps TM data into trade and industry categories forward and backward. This concordance allows researchers to analyze differences in TM usage across both economic and TM sectors. In this paper, the authors apply this ALP concordance for TMs to characterize patterns in TM applications across countries, industries, income levels and more. They also use the concordance to investigate some of the key determinants of international technology transfer by comparing bilateral TM applications and bilateral patent applications.