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Technology Appropriation and Technology Transfer in the Brazilian Mining Sector
This paper focuses on the competitive dynamics, strategic challenges, technological needs and institutional innovation-promoting arrangements in Brazil’s mining sector in order to identify the ways in which mining firms and mining equipment, technology and services suppliers (METS) handle innovation appropriation and technology transfer in the country. As the main sample consisted of resident and non-resident companies, the key technological areas of mining-related patenting in Brazil and the main patent stakeholders have been identified. The analysis of technology transfer among firms and to other mining industry stakeholders, mainly universities, drew on import contracts and highlighted the role played by foreign METS. A case study of Vale S.A., Brazil’s largest mining enterprise, has been included, with emphasis on Vale’s strategies to mitigate external challenges and to meet technological needs through innovation.
Global Challenges for Innovation in Mining Industries
Offering the first in-depth global analysis of the innovation ecosystem in the mining industry, this book is aimed at policy-makers and academia alike. A wide range of international contributors assess this from different perspectives, using both a novel mining patent and innovation database and a wide set of analytical approaches.
The Use of Intellectual Property in Brazil
This study describes patterns and trends of intellectual property use in Brazil, drawing on a new statistical database (BADEPI).
The Use of Intellectual Property in Brazil
This study describes patterns and trends of intellectual property (IP) use in Brazil, drawing on a new statistical database (BADEPI) containing all IP filings at Brazilian Instituto Nacional da Propriedade Industrial (INPI) over the period 2000-2011. This novel database contains a unique set of information about patents, utility models, industrial designs, trademarks, geographical indications, computer programs and IP-related contracts. In addition, the study documents the methodology to construct this novel database from bibliographical unit-record data, which among others makes use of unique identification of applicants and inventors across all forms of IP.
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