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WIPO/PUB/895/2016

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.

Publication year: 2016

WIPO/PUB/940/2016

Madrid Yearly Review 2016

International Registrations of Marks

Comprehensive facts, figures and analysis of the international registration of marks.

Publication year: 2016

WIPO/PUB/941/2015

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.

Publication year: 2015

WIPO/JOURNAL/WPJ6N2

The WIPO Journal - 2015 Volume 6 Issue 2

Analysis and Debate of Intellectual Property Issues

Contents: Have Trademarks Become Deceptive? | Scholarly Publication in Nigeria: Implications of Open Access | The Economics of Intellectual Property Enforcement | The Transformative Authorial Self in Jewish Thought | India's Tryst with Pharma Patent Settlements: Whether a Turbulent Decade of Litigations Would Give Way to Meaningful Compromises?

Publication year: 2015

WIPO/PUB/940/2015

Madrid Yearly Review 2015

International Registrations of Marks

Comprehensive facts, figures and analysis of the international registration of marks.

Publication year: 2015

WIPO/PUB/943/2014

WIPO IP Facts and Figures 2014

An overview of intellectual property activity based on the latest available year of complete statistics.

Publication year: 2015

WIPO/PUB/ECONSTAT/WP/23

The Use of Intellectual Property in Brazil

Economic Research Working Paper No. 23

This study describes patterns and trends of intellectual property use in Brazil, drawing on a new statistical database (BADEPI).

Publication year: 2014

WIPO/PUB/ECONSTAT/WP/22

Trademarks Squatters: Evidence from Chile

Economic Research Working Paper No. 22

This paper explores the phenomenon of “trademark squatting” – a situation in which someone other than the original brand owner obtains a trademark on a brand. The authors develop a model that shows how squatting results from market uncertainty that leads brand owners to rationally forgo registering trademarks, creating opportunities for squatting. They create an algorithm to identify squatters in the Chilean trademark register and show empirically that squatting is a persistent and systematic phenomenon. Using data on trademark oppositions, the authors find that squatting leads brand owners that have been exposed to squatting to “over-protect” their brands by registering disproportionately many trademarks and covering classes other than those directly related to their products and services. Trademark squatting, therefore, creates a strategic, albeit excessive, response by brand owners which inflates trademark filings.

Publication year: 2014

WIPO/PUB/ECONSTAT/WP/21

Defining and Measuring the “Market for Brands”: Are Emerging Economies Catching Up?

Economic Research Working Paper No. 21

Markets for brands, as defined in this paper, play an important but underappreciated economic role in today's global economy. The ability to use Market for Brands allows companies to diversify their business; access competences; and generate new revenues without substantial investments. This paper defines and provides a taxonomy for different brand markets then analyzes the economic rationale of such markets. It also assesses the relative importance of the different brand-related transaction types in developed and emerging economies alike.

Publication year: 2014

WIPO/PUB/ECONSTAT/WP/14

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.

Publication year: 2014