We use cookies to distinguish you from other users and to provide you with a better experience on our websites. Close this message to accept cookies or find out how to manage your cookie settings.
To save content items to your account,
please confirm that you agree to abide by our usage policies.
If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account.
Find out more about saving content to .
To save content items to your Kindle, first ensure no-reply@cambridge.org
is added to your Approved Personal Document E-mail List under your Personal Document Settings
on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part
of your Kindle email address below.
Find out more about saving to your Kindle.
Note you can select to save to either the @free.kindle.com or @kindle.com variations.
‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi.
‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.
Edited by
Daniel Benoliel, University of Haifa, Israel,Peter K. Yu, Texas A & M University School of Law,Francis Gurry, World Intellectual Property Organization,Keun Lee, Seoul National University
The main purpose of this chapter is to study gender inequality within the inventive activities in three emerging countries – Brazil, India, and Mexico – using the framework of knowledge economics. It aims to determine which factors that influence a growing propensity of women to be inventors help reduce gender inequality in knowledge economies. In addition, the chapter contributes policy proposals that aim at increasing female participation in inventive activities. The key questions for this research are as follows: What are the characteristics and dynamics of female inventive activities in emerging countries with different economic development paths? What factors influence women’s propensity to invent? Based on the results of the econometric model proposed in this chapter, the inventive variables, such as the stock of prior knowledge, the size of inventor teams, the type of patent holder, technological field, and the presence of foreign researchers – positively influence women’s propensity to become inventors in a differentiated manner in each country. These findings validate how some variables could influence the inclusion of a greater number of women in research teams and the deployment of their potential inventive activities. The chapter proposes policies aimed at reducing gender inequality in the knowledge economy.
Recommend this
Email your librarian or administrator to recommend adding this to your organisation's collection.