创新生态系统驱动城市创新绩效路径识别

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Abstract Enhancing the urban innovation ecosystems plays a crucial role in boosting the innovation capabilities of China's cities.This study focuses on 59 pilot cities identified for their innovative approaches within China,employing the fuzzy set qualitative comparative analysis method to explore the complex causal relationships that influence urban innovation performance.The innovation ecosystem is segmented into three main subsystems including the core innovation entities,available innovation resources,and the surrounding innovation environment.We examine the interconnectedness of the three subsystems and their effects on driving urban innovation performance.Our findings reveal that high urban innovation performance doesn't hinge on a single essential condition.However,the absence of technological innovators is a critical factor for lower innovation outcomes.We identify three ecosystem models capable of fostering high innovation performance,those driven by the environment,a balanced growth of resources and environment,and technological-environmental progress.Moreover,the strategies propelling high innovation performance differ between the eastern and the central-western areas.This research contributes to a deeper comprehension of urban innovation ecosystems and uncovers various pathways through which Chinese cities can achieve superior innovation performance,guided by the theoretical underpinnings of innovation ecosystems.

Key words： Innovation ecosystem Urban innovation performance Configuration perspective Innovative-city-pilot Path recognition

Received: 17 July 2023

PACS:

F061.2

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	Articles by authors
	Wu Guangdong
	Yuan Mingjie
	Xie Zhiming

Cite this article:

Wu Guangdong,Yuan Mingjie,Xie Zhiming. Path Identification of Innovation Ecosystem-driven Urban Innovation Performance[J]. , 2024, 5(9): 11-20.

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http://www.zgkjlt.org.cn/EN/ OR http://www.zgkjlt.org.cn/EN/Y2024/V5/I9/11

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