Innovation ecosystems and national talent competitiveness: A country-based comparison using fsQCA

Yangjie Huang, Kexin Li, Ping Li · 2023 · Technological Forecasting and Social Change

Summary. This study examines how innovation ecosystems drive national talent competitiveness across 33 countries. The research identifies e-government efficiency as a necessary condition for high talent competitiveness and reveals three distinct ecosystem types that generate competitive talent pools: business investment-driven, e-government-led, and R&D-driven models. The findings show asymmetric relationships between ecosystems producing high versus low talent competitiveness.

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Huang, Y., Li, K., & Li, P.. (2023). Innovation ecosystems and national talent competitiveness: A country-based comparison using fsQCA. Technological Forecasting and Social Change. https://doi.org/10.1016/j.techfore.2023.122733

@article{huang-2023-innovation-ecosystems-national-talent-competitiveness,
  title   = {Innovation ecosystems and national talent competitiveness: A country-based comparison using fsQCA},
  author  = {Yangjie Huang and Kexin Li and Ping Li},
  journal = {Technological Forecasting and Social Change},
  year    = {2023},
  doi     = {10.1016/j.techfore.2023.122733},
  url     = {https://doi.org/10.1016/j.techfore.2023.122733}
}

TY  - JOUR
TI  - Innovation ecosystems and national talent competitiveness: A country-based comparison using fsQCA
AU  - Yangjie Huang
AU  - Kexin Li
AU  - Ping Li
JO  - Technological Forecasting and Social Change
PY  - 2023
DO  - 10.1016/j.techfore.2023.122733
UR  - https://doi.org/10.1016/j.techfore.2023.122733
ER  -

Details

DOI: 10.1016/j.techfore.2023.122733
Countries: China
Regions: Asia
Categories: innovation-networks, regional-innovation-systems, policy, general-innovation
Added: 2026-04-28