METHOD AND APPLICATION
Zhu Qiaoqiao, Miao Yongzhen
This paper constructed an evaluation index system for the resilience of the industry innovation ecosystem of new-quality productivity and employed the entropy weight TOPSIS method,cluster analysis,system coupling model,Kernel density,obstacle factor model,and early warning model to conduct statistical measurement and dynamic early warning research on the resilience of the industry innovation ecosystem of new-quality productivity from 2008 to 2022 .The results indicated that the overall level of resilience of the in-dustry innovation ecosystem of new-quality productivity had been continuously rising,yet the development gap among industries had gradually expanded,and the"polarization"phenomenon had become increasingly prominent.The four subsystems of diversity,evolu-tion,fluidity,and buffering within the resilience of the industry innovation ecosystem of new-quality productivity were closely intercon-nected,possess strong collaborative development capabilities,and exhibited the characteristics of"high coupling degree and high coordi-nation degree".Among the four subsystems,the fluidity dimension and the buffering dimension had relatively high degrees of obstruc-tion,which were the key factors constraining the development of the resilience of the industry innovation ecosystem.The warning degree of the resilience of the industry innovation ecosystem of new-quality productivity had gradually declined,and the warning situation had shifted from "crisis" to "safety".