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Tables

Published online by Cambridge University Press:  10 August 2018

Edited by
Jorge Niosi
Jorge Niosi
Affiliation:
Université du Québec, Montréal

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Innovation Systems, Policy and Management , pp. xi - xii
Publisher: Cambridge University Press
Print publication year: 2018

Tables

  1. I.1Incremental and radical innovation compared

  2. I.2Grand challenges, incremental and mission-oriented innovation policies

  3. 4.1Top 25 scientific journals by number of articles and the top 25 most prolific authors in the field of strategic alliances

  4. 4.2Top 25 authors’ provenance countries and the top 25 most prolific institutions in the field of strategic alliances

  5. 4.3Ranking of the top 25 most cited articles and authors

  6. 4.4Clusters of articles from bibliographic coupling

  7. 5.1Some industrial policies compared

  8. 5.2Industrial sectors and frequent innovation incentives

  9. 5.3Types of policy preferred for different types of innovation

  10. 6.1Probit model estimating credit constraints

  11. 6.2Baseline Bivariate Probit Model

  12. 6.3Bivariate Probit Model with country-level covariates

  13. 6.4Conditional direct and indirect marginal effects on the probability of innovating

  14. 6.5Bivariate Probit Model with interaction effects on firm size

  15. 6A.1Country descriptive statistics

  16. 6A.2Descriptive statistics

  17. 7.1STI policies and plans aligned with different government administrations in Mexico

  18. 7.2Long run co-integration equations (the β vector)

  19. 7.3Causality analysis

  20. 7A.1Long run co-integration equations (the β vector)

  21. 7A.2Causality analysis

  22. 8.1National Innovation Systems relative efficiency studies

  23. 8.2Variables for the National Innovation Systems REI – DEA models of creation, diffusion, and utilization, and a general model

  24. 8.3OECD and BRICS countries: growth rate as function of relative efficiency indices and institutional variables by robust OLS, 2007 and 2014

  25. 8.4Marginal effects by Ordered Probit categories, 2007 and 2014

  26. 8A.1aInputs and outputs of NIS creation model

  27. 8A.1bInputs and outputs of NIS diffusion model

  28. 8A.1cInputs and outputs of NIS utilization model

  29. 8A.2National systems of innovation relative efficiency indexes across OECD countries, 2007 and 2014

  30. 9.1Reliance on export of metallic minerals

  31. 9.2Descriptive statistics

  32. 9.3Undervaluation on economic growth in mineral- vs manufacturing-exporting countries

  33. 9A.1Variable definitions and sources

  34. 10.1Barriers to breaking with existing paths and growing new paths

  35. 10.2Types and mechanisms of path development

  36. 10.3Place-based system failure framework for structural change in RIS

  37. 11.1Patterns of cluster growth and spinoff entry

  38. 12.1Key actors in the innovation systems of smart cities in Japan

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  • Tables
  • Edited by Jorge Niosi, Université du Québec, Montréal
  • Book: Innovation Systems, Policy and Management
  • Online publication: 10 August 2018
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  • Tables
  • Edited by Jorge Niosi, Université du Québec, Montréal
  • Book: Innovation Systems, Policy and Management
  • Online publication: 10 August 2018
Available formats
×

Save book to Google Drive

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 Google Drive.

  • Tables
  • Edited by Jorge Niosi, Université du Québec, Montréal
  • Book: Innovation Systems, Policy and Management
  • Online publication: 10 August 2018
Available formats
×