Understanding the Complexity of Regional Innovation Capacity Dynamics in China: From the Perspective of Hidden Markov Model

Understanding the Complexity of Regional Innovation Capacity Dynamics in China: From the Perspective of Hidden Markov Model

This study aimed to explore the state transition of regional innovation capacity (RIC) and analyze the heterogeneous effects of determinants in an innovative subject and environment of RIC state transition based on the data collected from 30 provinces in China during 2000–2017. By applying a hidden...

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Bibliographic Details
Main Authors: Shuai Liu, Xiao-Yu Xu, Kai Zhao, Li-Ming Xiao, Qi Li
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Sustainability
Subjects:
regional innovation capacity
state transition process
hidden Markov model
innovation subject determinants
innovation environment determinants
Online Access:https://www.mdpi.com/2071-1050/13/4/1658

Internet

https://www.mdpi.com/2071-1050/13/4/1658

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