Atjaunināt sīkdatņu piekrišanu

China's Propensity for Innovation in the 21st Century: Identifying Indicators of Future Outcomes [Mīkstie vāki]

  • Formāts: Paperback / softback, 168 pages
  • Izdošanas datums: 15-Feb-2021
  • Izdevniecība: RAND
  • ISBN-10: 1977405967
  • ISBN-13: 9781977405968
  • Mīkstie vāki
  • Cena: 45,61 €
  • Grāmatu piegādes laiks ir 3-4 nedēļas, ja grāmata ir uz vietas izdevniecības noliktavā. Ja izdevējam nepieciešams publicēt jaunu tirāžu, grāmatas piegāde var aizkavēties.
  • Daudzums:
  • Ielikt grozā
  • Piegādes laiks - 4-6 nedēļas
  • Pievienot vēlmju sarakstam
  • Formāts: Paperback / softback, 168 pages
  • Izdošanas datums: 15-Feb-2021
  • Izdevniecība: RAND
  • ISBN-10: 1977405967
  • ISBN-13: 9781977405968

In this report, the authors describe what information would be needed to better understand China’s innovation trajectory in the coming decades. They examine the propensity in China’s innovation system to realize its potential as an innovating nation.

Preface iii
Figures
vii
Tables
ix
Summary xi
Acknowledgments xix
Abbreviations xxi
Chapter One Capturing Lightning in a Bottle: Innovation and State Power
1(4)
Chapter Two The Nature of Innovation and the Location of Innovative Activity
5(12)
What Is Innovation--and Why Should We Care?
5(2)
National and Regional Innovation Systems
7(1)
All Innovation Is Local
8(1)
Networks and Innovation
9(2)
Politics and Innovation: Challenge and Response
11(2)
A Framework for Evaluating Forces for Innovation
13(4)
Chapter Three The Road Toward the Chinese Century
17(20)
Institutions: Formal and Informal
18(5)
Policies
23(4)
Investment in R&D
27(2)
R&D, Knowledge, and Skill Building
29(1)
Identifying Factors in the Innovation Activity Framework
30(7)
Chapter Four Gleaning from Case Studies of Sectoral Innovation
37(18)
Artificial Intelligence: Driving to the Future's Leading Edge
38(4)
Pharmaceuticals: Regional Interests and Industry Structure
42(2)
Blockchain Technology: Where Did Everybody Go?
44(5)
Factors in the Innovation Activity Framework
49(6)
Chapter Five Quantitative and Digital Evidence of Networks in China
55(24)
Bibliometric Analysis of China's Position in Networks of Science
56(5)
Patent Applications Citations: Possible Marker for Implicit Innovation Networks
61(7)
Picking Up the Trail: Evidence of Networks in the Gray Literature
68(5)
Factors in the Innovation Activity Framework
73(6)
Chapter Six Measures and Indicators of China's Innovation Propensity
79(10)
Addressing the Problem of Measurement
79(6)
Candidate Indicators for China's Innovation Propensity
85(4)
Chapter Seven Innovation Propensity: Looking Toward the Future
89(4)
APPENDIXES
A Case Study: China and Artificial Intelligence
93(16)
B Case Study: China and Pharmaceutical Products
109(14)
C Bibliometric Measurement of Scientific Knowledge Networks
123(6)
Bibliography 129