城市人才政策对劳动力配置效率的影响

The Impact of Urban Talent Policies on Labor Allocation Efficiency

李永友,齐菁华

2026 第 52 卷 第 07 期 页码 139-153

DOI: 10.16538/j.cnki.jfe.20260611.402

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摘要

为了在激烈人才竞争中引进人才,很多城市颁布了人才政策,那么人才政策能改善城市内劳动力配置效率吗?文章通过手工整理中国各地级市2009—2019年颁布的人才政策,对这一问题进行考察,并探究其中的作用机制。研究发现:颁布人才政策的城市,其内部劳动力配置效率更高,说明人才政策能够显著提升城市内部劳动力的配置效率;人才政策对劳动力配置效率的促进效应不仅受到政策内容设计的影响,而且受到城市自身特征的影响。机制识别表明,人才政策通过吸引高技能劳动力流入、促进流入人才和企业需求的有效对接来改善城市内部高技能劳动力配置。进一步研究表明,高技能劳动力集聚还通过技能互补渠道对低技能劳动力产生就业外溢效应,使得不同技能劳动力进入与自身技能水平相适应的岗位,提升社会分工水平,从而提升城市整体劳动力配置效率;人才政策带来的劳动力配置效率提高显著促进了城市经济增长。文章结论表明,地方政府应根据城市特征,制定更具针对性的人才政策,更好地助力经济高质量发展。

Talent policies have become an important policy instrument for Chinese local governments to attract skilled labor and support high-quality economic development. However, the effectiveness of such policies depends not only on whether they can attract talent inflows, but also on whether the incoming talents can be effectively matched with local industrial structures, firms’ labor demand, and suitable jobs.

Using the first introduction of talent policies by prefecture-level cities during 2009–2019 as a quasi-natural experiment, this paper matches manually-collected talent policy documents with population census and sample survey data. Based on the dispersion of adjusted wage returns across counties and districts within the same city, it constructs a city-year measure of intra-city labor allocation efficiency and examines the impact of talent policies on urban labor allocation efficiency. The results show that talent policies significantly improve urban labor allocation efficiency. Heterogeneity analysis further indicates that this effect depends strongly on city characteristics and policy design, and it is more pronounced in cities with stronger industrial activity, larger urban scale, better road transport accessibility, lower fiscal pressure, and higher hukou-based settlement thresholds. In terms of policy design, policies that include monetary subsidies, specifying educational or professional requirements, targeting experienced or high-level talents, and clarifying employment directions generate stronger improvement effects. Mechanism testing shows that talent policies improve the allocation of high-skilled labor within cities by attracting high-skilled labor inflows and facilitating their effective matching with firms’ labor demand. Further, the agglomeration of high-skilled labor generates employment spillovers for low-skilled labor through skill complementarity, helping them move into jobs better suited to their skills, deepening the division of labor, and ultimately improving overall urban labor allocation efficiency. In addition, talent policies also raise firms’ TFP and promote high-quality economic development.

This paper makes the following marginal contributions: First, it extends the evaluation of talent policies from talent attraction and firm innovation to urban labor allocation efficiency. Second, it reveals the indirect impact of talent policies on low-skilled labor. Third, it identifies the heterogeneous effects of different policy designs.

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