IMPACTS OF HIGH-QUALITY HUMAN CAPITAL ON OPTIMIZATION OF DIGITAL INDUSTRIAL STRUCTURE

doi:10.13776/j.cnki.resourcesindustries.20241030.001

Abstract

Abstract: This paper, based on the panel data of some provinces in China from 2008 to 2020, establishes a panel model and mediating effect model, and fabricates such indices as digital industrial structural advancement index, digital industrial structural rationalization index, high-quality human capital index, and technical & institutional innovation index to analyze the impacting mechanism of high-quality human capital on optimization of digital industrial structure. High-quality human capital can increase productivity, improve element use efficiency, fulfill remuneration incremental effect, match human capital structure with digital industrial employment structure, and finally promotes an optimization of digital industrial structure. Both technical innovation and institutional innovation can drive optimization of digital industrial structure. As for industrial structural advancement, the mediating effect of institutional innovation is 16 times that of technical innovation, and 10 times for industrial structural rationalization. Variance of population fluidity and high educational level can explain the heterogeneous impacts of human capital on digital industrial structure in different areas. The estimated coefficients for the impact of high-quality human capital on digital industrial structural advancement are significant，which in areas with a net population inflow are 2 times of areas with a net population outflow, and which in areas of starting type are 2 times of areas of outstanding type. Positive impact of high-quality human capital on digital industrial structural rationalization is outstanding only in areas with a net population outflow. Mediating effect of institutional innovation on digital industrial structural advancement is 5 to 13 times of technical innovation, 7 to 9 times on digital industrial structural rationalization. This paper puts forward suggestions on raising quality of digital industrial staff, fulfilling promotion of high-quality talents on technical innovation, stimulating inner driving forces of high-quality talents participating institutional innovation, coordinating the relation between technical innovation and institutional innovation, and making differentiated policies for high-quality talents.

Key words: high-quality human capital, digital industrial structure, technical innovation, institutional innovation

摘要： 基于2008—2020年我国部分省市的面板数据，构建面板模型与中介效应模型检验机制，构造数字产业结构高级化指数、数字产业结构合理化指数、高质量人力资本指数，以及测量技术创新与制度创新的指标体系，分析高质量人力资本对数字产业结构优化的影响机制。研究发现：1）高质量人力资本能提高劳动生产率,改善物质要素使用效率,发挥要素报酬递增效应，使人力资本结构与数字产业用工结构相匹配，最终促进数字产业结构优化。2）技术创新与制度创新均能促进数字产业结构优化，针对产业结构高级化，制度创新的中介作用大约是技术创新中介作用的16倍，针对产业结构合理化，制度创新的中介作用大约是技术创新中介作用的10倍。3）人口流动性与高等教育水平的差异，可以解释我国不同区域间高质量人力资本对数字产业结构的异质性影响。高质量人力资本对数字产业结构高级化的估计系数均显著，但人口净流入地区大约是人口净流出地区的2倍，起步型地区大约是卓越型地区与中等型地区的2倍。高质量人力资本对数字产业结构合理化的正向影响仅在人口净流出地区显著。在各子样本的中介作用中，对数字产业结构高级化而言，制度创新的中介作用是技术创新的5~13倍，对数字产业结构合理化而言，制度创新的中介作用是技术创新的7~9倍。据此提出以下建议：提升数字产业从业人员的整体素质，充分发挥高质量人才对技术创新的促进作用，持续激发高质量人才参与制度创新的内驱力，有效协调技术创新与制度创新的内在关系，制定高质量人才发展的差异化政策。

关键词: 高质量人力资本, 数字产业结构, 技术创新, 制度创新

CLC Number:

ZHANG Ning, MIAO Pu, DING Chenhui. IMPACTS OF HIGH-QUALITY HUMAN CAPITAL ON OPTIMIZATION OF DIGITAL INDUSTRIAL STRUCTURE[J]. Resources & Industries, 2025, 27(1): 107-119.

张宁, 苗圃, 丁晨辉. 高质量人力资本对数字产业结构优化的影响研究[J]. 资源与产业, 2025, 27(1): 107-119.

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