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Author:

Zang, Leizhen (Zang, Leizhen.) | Xiong, Feng (Xiong, Feng.) | Lao, Xin (Lao, Xin.) | Gao, Yanyan (Gao, Yanyan.)

Indexed by:

Scopus SSCI SCOPUS

Abstract:

© 2018 Informa UK Limited, trading as Taylor & Francis Group Various factors possibly impact on national innovative capacity. Governments are makers and implementers of national innovative policies, then, does its governance efficiency matter for the innovation of a country? Empirical evidence about the relationship between governance efficiency and national innovative capacity is still inadequate. To fill this research gap, the authors, based on the application of machine learning technique, have selected valid variables, conduct analysis with different models using the panel data of 117 countries from 1995 to 2015. The results of different models show that governance efficiency has a significant and positive impact with stability and reliability on innovation. In addition, the authors divide the 117 countries into different regions in accordance with economic development and geographic proximity, found that governance efficiencies of different regions have a heterogeneous but positive impact on national innovative capacity. Finally, potential policy implications are discussed.

Keyword:

fixed effects model Governance efficiency machine learning national innovative capacity

Author Community:

  • [ 1 ] [Zang, Leizhen] Univ Chinese Acad Sci, Sch Publ Policy & Management, Room 402,19 A Yuquan Rd, Beijing 100049, Peoples R China
  • [ 2 ] [Zang, Leizhen] Peking Univ, Inst State Governance Studies, Beijing, Peoples R China
  • [ 3 ] [Xiong, Feng] Xi An Jiao Tong Univ, Jinhe Ctr Econ Res, Xian, Shaanxi, Peoples R China
  • [ 4 ] [Lao, Xin] China Univ Geosci, Sch Humanities & Econ Management, Beijing, Peoples R China
  • [ 5 ] [Gao, Yanyan] Southeast Univ, Sch Econ & Management, Nanjing, Jiangsu, Peoples R China
  • [ 6 ] [Zang, Leizhen]Univ Chinese Acad Sci, Sch Publ Policy & Management, Room 402,19 A Yuquan Rd, Beijing 100049, Peoples R China
  • [ 7 ] [Zang, Leizhen]Peking Univ, Inst State Governance Studies, Beijing, Peoples R China
  • [ 8 ] [Xiong, Feng]Xi An Jiao Tong Univ, Jinhe Ctr Econ Res, Xian, Shaanxi, Peoples R China
  • [ 9 ] [Lao, Xin]China Univ Geosci, Sch Humanities & Econ Management, Beijing, Peoples R China
  • [ 10 ] [Gao, Yanyan]Southeast Univ, Sch Econ & Management, Nanjing, Jiangsu, Peoples R China

Reprint Author's Address:

  • Univ Chinese Acad Sci, Sch Publ Policy & Management, Room 402,19 A Yuquan Rd, Beijing 100049, Peoples R China.

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Source :

Technology Analysis and Strategic Management

ISSN: 1465-3990

Year: 2019

Issue: 2

Volume: 31

Page: 239-252

Cited Count:

WoS CC Cited Count: 7

SCOPUS Cited Count: 13

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 24

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