Configural analysis of innovation for exploring economic growth

Tiffany Hui-Kuang Yu, Kun-Huang Huarng and Yun Ting Lai

Technological Forecasting and Social Change, 2021, vol. 172, issue C

Abstract: This research analyzes and forecasts the causal combinations of innovation for economic growth, utilizing yearly data from Organization for Economic Co-operation and Development (OECD) countries. Employing the method of fuzzy sets/Qualitative Comparative Analysis (fsQCA), the two causal combinations from the estimation are 1) Institute, Human Capital and Research, Infrastructure, and Market Sophistication as well as 2) Human Capital and Research, Infrastructure, Market Sophistication, and Business Sophistication. This study proposes a time series method to forecast fsQCA results that offer performances demonstrating strong predictive validities.

Keywords: Fuzzy sets/qualitative comparative analysis (fsQCA); Global innovation index (GII); OECD (organization for economic co-operation and development); Predictive validities (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (6)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:tefoso:v:172:y:2021:i:c:s0040162521004510

DOI: 10.1016/j.techfore.2021.121019

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