Determining the drivers of global innovation under COVID-19: An FSQCA approach

  • 0Business School of Liaocheng University, Liaocheng, China.

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Summary

This summary is machine-generated.

National innovation requires strategic resource allocation, as single inputs act as bottlenecks. Different configurations of innovation factors drive high output, with paths varying by country income level.

Area Of Science

  • Economics
  • Innovation Studies
  • Policy Analysis

Background

  • The COVID-19 pandemic highlighted challenges in national innovation, including R&D risks and trade competition.
  • Effective resource allocation is crucial for promoting national innovation systems.

Purpose Of The Study

  • To analyze the configuration effects of national innovation input elements on innovation output.
  • To identify necessary conditions and distinct pathways for achieving high national innovation output.

Main Methods

  • Utilized the Global Innovation Index (GII) framework.
  • Employed Necessary Condition Analysis (NCA) and Fuzzy Set/Qualitative Comparative Analysis (FSQCA).

Main Results

  • Individual innovation inputs (e.g., human capital, infrastructure) are necessary but insufficient, acting as bottlenecks.
  • Multiple configurations of innovation inputs (ITT, HCR, IFT, MS, BS) lead to high innovation output, demonstrating 'equifinality' in national innovation governance.
  • Innovation pathways differ significantly between high- and low-income countries, with unique asymmetric configurations observed in high-income nations.

Conclusions

  • National innovation output is driven by specific configurations of input factors, not just individual elements.
  • Policy interventions should consider the 'equifinality' of innovation drivers and country-specific income levels.
  • Understanding these configurations is key to optimizing national innovation strategies and coupling input elements effectively.

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