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中国城市核心区对县域人力资本的影响研究

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塑造现代化人力资源,以人口高质量发展支撑中国式现代化,是推进经济高质量发展的必然要求.本文分析了2000-2020年中国区县级人力资本总量发展的时空格局及演化特征,构建双边随机前沿模型测度城市核心区对县域人力资本的双边影响效应及作用机制.研究表明:① 2000-2020年中国区县(市)人力资本总量整体持续提升但增速有所放缓.② 总体而言,城市核心区对县域人力资本总量提升有显著的带动作用,主要作用路径是产业溢出和创新溢出.③ 城市核心区对县域人力资本总量的影响呈现由"虹吸"到"溢出"的转变,总体使县域实际人力资本总量从2000年的低于前沿发展水平0.137%上升至2020年的高于前沿发展水平2.657%,从时间趋势上看仍有增长空间.④ 城市核心区对县域人力资本总量的影响呈现显著的空间差异特征,2020年一二线城市核心区发展导致县域实际人力资本总量高于前沿发展水平的39.110%和12.966%,四线城市核心区发展导致县域实际人力资本总量高于前沿发展水平的0.006%.⑤ 城市核心区对县域人力资本总量提升的净效应与地理距离和时间距离之间存在显著的负相关关系,净效应由正转负的拐点在100 km和100 min左右.
Impact of urban core areas on county-level human capital in China
Shaping modern human resources and supporting Chinese modernization with high-quality population development is a necessary requirement for promoting high-quality economic development.This article analyzes the spatio-temporal pattern and evolution characteristics of China's total human capital development at the district and county levels,and constructs a bilateral stochastic frontier model to measure the bilateral impact and mechanism of urban core areas on county-level human capital.The research shows that:(1)From 2000 to 2020,China's county(city)human capital continuously increased,but the growth rate slowed down.(2)Overall,urban core areas had a significant driving effect on the improvement of county-level human capital,and the main paths were industrial spillovers and innovation spillovers.(3)The impact of urban core areas on county-level human capital changed from"siphon"to"spillover",raising the actual total human capital of the county from 0.137%below the frontier level in 2000 to 2.657%above the frontier level in 2020,and there was still room for growth in terms of temporal trend.(4)The impact of urban core areas on county-level human capital showed significant spatial differences.In 2020,the development of core areas in first-tier and second-tier cities resulted in 39.110%and 12.966%of county-level actual human capital higher than the frontier level,while the corresponding figure for fourth-tier cities was only 0.006%.(5)There is a significant negative correlation between the net effect of urban core areas on the improvement of county-level human capital and geographical and temporal distance,with the inflection point from positive to negative being around 100 kilometers and 100 minutes.

urban core areacounty economytotal human capitalbilateral stochastic frontier modelChina

徐海东、黄徐亮、倪鹏飞

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中国社会科学院财经战略研究院,北京 100006

中国社会科学院大学应用经济学院,北京 102488

城市核心区 县域经济 人力资本总量 双边随机前沿模型 中国

2024

地理学报
中国地理学会 中国科学院地理科学与资源研究所

地理学报

CSTPCDCSSCICHSSCD北大核心
影响因子:3.3
ISSN:0375-5444
年,卷(期):2024.79(12)