人才集聚、区域创新效率与空间外溢——基于长三角城市群的实证研究
Talent Agglomeration, Regional Innovation Efficiency and Spatial Spillover—An Empirical Study Based on the Yangtze River Delta Urban Agglomeration
摘要: 本文基于人力资源管理与新经济地理角度,综合考察人才集聚与区域创新效率之间的关系,发现两者之间存在非线性关系以及空间溢出效应。本文聚焦长三角城市群进行实证分析,通过门限回归模型,发现人才集聚与区域创新效率之间呈现“间断”曲线关系,且存在单一门限,并利用人才集聚程度单一门限值,将长三角城市群划分为两个区域,即高人才集聚区与低人才集聚区。通过空间分布及空间计量模型分析得出,人才集聚及区域创新效率呈现出层级分布格局,区域创新效率呈现出高高集聚状态,人才集聚呈现出低高集聚状态,在人才集聚程度较高的地区,会产生拥挤效应,从而降低区域创新效率,且空间外溢呈现出负影响。
Abstract: Based on the perspective of human resource management and new economic geography, this paper comprehensively investigates the relationship between talent agglomeration and regional in-novation efficiency, and finds that there is a nonlinear relationship and spatial spillover effect be-tween them. This paper focuses on the empirical analysis of the Yangtze River Delta urban ag-glomeration. Through the threshold regression model, it is found that there is a “discontinuous” curve relationship between talent agglomeration and regional innovation efficiency, and there is a single threshold. By using the single threshold of talent agglomeration degree, the Yangtze River Delta urban agglomeration is divided into two regions, namely the high talent agglomeration area and the low talent agglomeration area. Through the analysis of spatial distribution and spatial econometric model, it can be concluded that talent agglomeration and regional innovation efficiency present a hierarchical distribution pattern, regional innovation efficiency presents a high agglomeration state, and talent agglomeration presents a low and high agglomeration state. In ar-eas with a high degree of talent agglomeration, there will be a crowding effect, which reduces the regional innovation efficiency, and the spatial spillover presents a negative impact.
文章引用:赖红波, 邹惺辰. 人才集聚、区域创新效率与空间外溢——基于长三角城市群的实证研究[J]. 理论数学, 2023, 13(2): 332-344. https://doi.org/10.12677/PM.2023.132037

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