A Necessary Condition Analysis of Innovation Causal Conditions on the Global Innovation Performance

This study analyzes the kind and degree of necessity logics between five innovation antecedents and innovation performance of the Global Innovation Index (GII) 2022, using the necessary condition analysis (NCA). The NCA results showed that all five causal conditions - institutions, human resources and research, infrastructure, market sophistication, and business sophistication - were necessary for the innovation outcome such as knowledge and technology outputs and the creative outputs. This study is the first attempt to analyze the necessity logic of innovation causal antecedents that affect innovation performance through NCA methodology, which has been widely used in various fields in recent years. This study also confirms that NCA and regression methodologies can be used complementarily, as NCA analysis explores ‘necessary but not sufficient’ causal antecedents for innovation performance, and regression analysis identifies ‘sufficient but not necessary’ causal conditions for innovation performance.