Pathways, Models and Insights for Building a Global Innovation-driven Country——A Qualitative Comparative Analysis Based on Cross-National Panel Data
Pan Junhao1, Yang Yifan2
1. School of Public Affairs, Zhejiang University, Hangzhou 310058, China; 2. School of Public Administration, Southwest Jiaotong University, Chengdu 610031, China
Abstract Drawing on innovation ecosystem theory and complex emergence,a configurational model of the innovation origination ecosystem is proposed.Using fuzzy-set Qualitative Comparative Analysis(fsQCA)and panel data from 120 countries and regions(2011—2021),this research identifies effective combinations of conditions that enhance innovation origination capacity over time.The Kruskal-Wallis rank sum test further reveals spatial disparities in these configurations.Results indicate that no single factor is necessary for high innovation origination,but the subsystems of digital environment,science and technology,talent,and industry demonstrate significant temporal effects.Four configurational pathways to high innovation capacity are identified,which include the strong ecological balance model,primitive ecological model,and weak ecological strong government model.Temporally,the consistency of these pathways declined in 2016 and 2020,likely due to major global events such as Brexit,U.S.elections,and the COVID-19 pandemic.Spatially,global innovation origination has evolved into a“core-semi-periphery-periphery”structure across continents.Based on these insights,policy recommendations are provided to support China's emergence as a global innovation leader.
Pan Junhao,Yang Yifan. Pathways, Models and Insights for Building a Global Innovation-driven Country——A Qualitative Comparative Analysis Based on Cross-National Panel Data[J]. , 2025, 6(5): 128-138.
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2025, Vol. 6 
