数量驱动或创新驱动：异质型人力资本对经济增长的机制演进

基于1987-2017年中国省际面板数据，运用SYS-GMM模型研究异质型人力资本对经济增长的影响。在区分高级与基本人力资本基础上，基于招生率和收入维度，从全局和阶段差异视角剖析异质型人力资本对经济提速的机制演进。研究发现：全局而言，两种测度下基础和高级人力资本各自以数量及创新方式驱动经济增长，并呈现以数量驱动为主，数量、创新双驱动的增长模式；从演进视角看，两种测度均表明，高级人力资本创新驱动是新常态阶段经济增长的核心动力，但相比旧常态阶段，基础人力资本数量驱动日趋弱化并呈异质性；进一步研究表明，产业结构、城镇化及开放程度均对创新驱动有不同程度激励效应，而城镇化是挤出数量驱动的主要推手。

Quantitative Driven or Innovation Driven: Mechanism Evolution of Heterogeneous Human Capital on Economic Growth

Based on provincial panel data from 1987 to 2017, SYS-GMM model is used to study the influence of heterogeneous human capital on economic growth. This paper analyzes the mechanism evolution of heterogeneous human capital to economic acceleration from the perspective of global and stage differences based on advanced and basic human capital from the perspective of enrollment rate and income. The research finds that: overall, basic and advanced human capital under above two measures drive economic growth in the ways of quantity and innovation respectively, and presents the quantity drives primarily, quantity and innovation dual drive growth pattern. From the perspective of evolution, both measures show that innovation-driven from advanced human capital is the core driving force of economic growth in the new normal stage. Further research shows that industrial structure, urbanization and openness all have different incentive effects on innovation-driven, while urbanization has an extruding effect on the quantitative driving force of basic human capital.