Patent intensity and economic growth

Author(s)

    • Benoliel, Daniel

Bibliographic Information

Patent intensity and economic growth

Daniel Benoliel

(Cambridge intellectual property and information law)

Cambridge University Press, 2018, c2017

  • : paperback

Available at  / 2 libraries

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Note

"First published 2017. First paperback edition 2018"--T.p. verso

Includes bibliographical references (p. 328-383) and index

Description and Table of Contents

Description

Economic growth has traditionally been attributed to the increase in national production arising from technological innovation. Using a panel of seventy-nine countries bridging the North-South divide, Patent Intensity and Economic Growth is an important empirical study on the uncertain relationship between patents and economic growth. It considers the impact of one-size-fits-all patent policies on developing countries and their innovation-based economic growth, including those policies originating from the World Intellectual Property Organization, the World Trade Organization and the World Health Organization, as well as initiatives derived from the TRIPS Agreement and the Washington Consensus. This book argues against patent harmonization across countries and provides an analytical framework for country group coalitioning on policy at UN level. It will appeal to scholars and students of patent law, national and international policy makers, venture capitalist investors, and research and development managers, as well as researchers in intellectual property, innovation and economic growth.

Table of Contents

  • Introduction
  • 1. Setting the framework: patenting and economic growth policy
  • 2. Convergence clubs, coalitions and innovation gaps
  • 3. Institutions, gerd intensity and patent clusters
  • 4. Gerd by type, patenting and innovation
  • 5. Patent intensity by employment and human resources
  • 6. Spatial agglomeration of innovation and patents
  • Conclusion
  • Appendix
  • Index of persons
  • Index of subjects
  • Index.

by "Nielsen BookData"

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