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<p>The integration of the innovation chain and the industrial chain (IICIC) is essential for driving high-quality economic growth. Talent (TA) plays a critical role in IICIC. Grounded in synergy theory, this study constructs a double-helix model and utilizes a coupling coordination degree model to evaluate IICIC across 31 Chinese provinces, municipalities, and autonomous regions from 2011 to 2023. Using a three-step panel regression approach, we examine the impact of TA on IICIC and the mediating effect of labor quality (LQ). The results are as follows: The IICIC level is relatively low, but it shows a consistent upward trend. TA significantly improves IICIC. LQ mediates the TA–IICIC relationship. The promoting effect of TA from science, technology, engineering, and mathematics (STEM) fields is greater compared to that of non-STEM TA, but the mediating effect of LQ for non-STEM TA is stronger than that for STEM TA. In high-technology industries, the impact of TA and the mediating effect of LQ are greater than those in medium- and low-technology industries. The impact of TA on IICIC exhibits distinct regional heterogeneity, being strongest in the eastern region, moderate in the central region, and weakest in the western region, while the mediating effect of LQ shows an inverse pattern, strengthening gradually from the east to the west. No significant effect of TA on IICIC is observed in the northeastern region. Our research provides theoretical insights and policy recommendations for promoting the integration of the innovation chain and the industrial chain.</p>

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Talent as a driver for the integration of innovation chain and industrial chain: evidence from China

  • 期刊论文

  • 发表日期：

    2026年5月19日

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  • Qiuling Chen,
  • Yuchen Miao,
  • Tianchi Wang

摘要

The integration of the innovation chain and the industrial chain (IICIC) is essential for driving high-quality economic growth. Talent (TA) plays a critical role in IICIC. Grounded in synergy theory, this study constructs a double-helix model and utilizes a coupling coordination degree model to evaluate IICIC across 31 Chinese provinces, municipalities, and autonomous regions from 2011 to 2023. Using a three-step panel regression approach, we examine the impact of TA on IICIC and the mediating effect of labor quality (LQ). The results are as follows: The IICIC level is relatively low, but it shows a consistent upward trend. TA significantly improves IICIC. LQ mediates the TA–IICIC relationship. The promoting effect of TA from science, technology, engineering, and mathematics (STEM) fields is greater compared to that of non-STEM TA, but the mediating effect of LQ for non-STEM TA is stronger than that for STEM TA. In high-technology industries, the impact of TA and the mediating effect of LQ are greater than those in medium- and low-technology industries. The impact of TA on IICIC exhibits distinct regional heterogeneity, being strongest in the eastern region, moderate in the central region, and weakest in the western region, while the mediating effect of LQ shows an inverse pattern, strengthening gradually from the east to the west. No significant effect of TA on IICIC is observed in the northeastern region. Our research provides theoretical insights and policy recommendations for promoting the integration of the innovation chain and the industrial chain.