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August 22, 2026SustainabilityOpen Access

How Does the Agglomeration of High-End Talent Affect Regional Innovation Efficiency?

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Authors

LLLiping LiuYWYuetong Wang

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Overview

Panel data analysis reveals an inverted U-shaped effect of talent agglomeration on innovation efficiency across Chinese provinces, highlighting optimal concentration thresholds.

Key Points

  • To examine the impact, nonlinear dynamics, and mediating mechanisms of high-end talent agglomeration on regional innovation efficiency across Chinese provinces.
  • Analyzed longitudinal panel data from 30 Chinese provinces, municipalities, and autonomous regions spanning 2007 to 2024.
  • Employed econometric modeling incorporating endogeneity adjustments, robustness tests, regional and institutional heterogeneity analyses, and mediation models assessing knowledge spillovers.
  • Identified a statistically significant, nonlinear inverted U-shaped relationship between high-end talent agglomeration and regional innovation efficiency.
  • Demonstrated pronounced positive effects in eastern and western regions, universities, research institutions, and highly marketized areas, while central regions and large-scale enterprises showed no significant gains.
  • Confirmed via mediation analysis that talent agglomeration enhances innovation efficiency primarily through knowledge spillovers and collaborative industry–university–research activities.

Cite This Study

Liu et al. (2026) studied this question.

synapsesocial.com/papers/6a89600eca7ade938187f17ahttps://doi.org/10.3390/su18168553
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