天津市教科院学报2026，Vol.38Issue(2)：37-58,22.DOI:10.3969/j.issn.1671-2277.2026.02.004
人才结构、产业复杂度与经济可持续增长
Talent Structure,Industrial Complexity and Sustainable Economic Growth
摘要
Abstract
Based on technological innovation and educational economics theories,utilizing the integrated World Bank-Harvard University Atlas database(2010-2023)and employing mediation effect and double machine learning models.The findings reveal that:Talent structure significantly promotes sustainable economic growth,a conclusion that remains robust under various checks;Mechanism identification results show that talent structure primarily drives the upgrading of industrial complexity through internal pathways such as dynamically matching industrial technology gradients,factor density,and innovation synergy;Industrial complexity plays a significant complete mediating role in the process through which talent structure affects sustainable economic growth,operating via innovation empowerment,structural upgrading,and resilience strengthening;Heterogeneity analysis indicates that the effect of talent structure in empowering sustainable economic growth is more pronounced in economies with higher degrees of urbanization,ecological development,and digitalization.关键词
人才结构/产业复杂度/经济可持续增长/双重机器学习/前沿因果推断Key words
talent structure/industrial complexity/sustainable economic growth/double machine learning/causal inference分类
社会科学引用本文复制引用
汪小龙..人才结构、产业复杂度与经济可持续增长[J].天津市教科院学报,2026,38(2):37-58,22.基金项目
江苏高校"青蓝工程"资助项目"优秀青年骨干教师"(JSGX004). （JSGX004）
