[1]刘诗昆,姚 奕.城市科技人才流动水平的测算及其对绿色全要素生产率的影响研究——基于空间回归模型[J].南京师大学报(自然科学版),2025,48(02):1-9.[doi:10.3969/j.issn.1001-4616.2025.02.001]
　Liu Shikun,Yao Yi.Measurement of City's Science and Technology Talent Flow and Its Impact on Green Total Factor Productivity: Based on Spatial Regression Model[J].Journal of Nanjing Normal University(Natural Science Edition),2025,48(02):1-9.[doi:10.3969/j.issn.1001-4616.2025.02.001]
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城市科技人才流动水平的测算及其对绿色全要素生产率的影响研究——基于空间回归模型()

《南京师大学报（自然科学版）》[ISSN:1001-4616/CN:32-1239/N]

卷:
48
期数:
2025年02期
页码:
1-9
栏目:
数学
出版日期:
2025-04-15

文章信息/Info

Title:
Measurement of City's Science and Technology Talent Flow and Its Impact on Green Total Factor Productivity: Based on Spatial Regression Model
文章编号:
1001-4616(2025)02-0001-09
作者:
刘诗昆; 姚 奕
(南京师范大学数学科学学院,江苏 南京 210023)
Author(s):
Liu Shikun; Yao Yi
(School of Mathematical Sciences,Nanjing Normal University,Nanjing 210023,China)
关键词:
绿色全要素生产率; 科技人才流动; 引力模型; 空间误差模型; 地理加权回归
Keywords:
green total factor productivity; flow of scientific and technological talents; gravity model; spatial error model; geographical weighted regression
分类号:
O213
DOI:
10.3969/j.issn.1001-4616.2025.02.001
文献标志码:
A
摘要:
基于熵权法对引力模型进行修正,定义并测算了中国2003—2019年283个地级及以上城市科技人才流动水平,并结合空间误差模型和多尺度地理加权回归模型分析中国城市科技人才流动水平对绿色全要素生产率的全局和局部影响. 结果表明:城市间的科技人才流动总水平逐步提高,大城市的科技人才虹吸现象愈发明显,表现出两极化趋势; 整体上,科技人才流动水平对绿色全要素生产率的影响表现为边际效应递减的促进作用; 区域视角中,局部效应的空间差异不断增强,逐渐形成了“南强北弱”的分布特征,科技人才流动在中西部部分城市对绿色全要素生产率产生了负面影响.
Abstract:
This paper revises the gravity model based on the entropy weight method,defines and calculates the flow level of science and technology talents in 283 Chinese cities from 2003 to 2019. Also,the multi-scale geographical weighted regression model is combined with the spatial error model to analyze the global and local impact of the flow level of science and technology talents in Chinese cities on green total factor productivity. The findings indicate the flow level of science and technology talents between cities has gradually increased,and the siphon phenomenon of scientific and technological talents in big cities has become more obvious,showing a trend of polarization. On the whole,the influence of the flow level of science and technology talents on the green total factor productivity is the promotion effect of diminishing marginal effect. From a regional perspective,the spatial differences of local effects are increasing,gradually forming a distribution feature of "strong in the south and weak in the north". The flow level of science and technology talents has a negative impact on green total factor productivity in some cities in the central and western regions.

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备注/Memo

备注/Memo:
收稿日期:2024-04-18.
基金项目:国家社科基金项目(21BTJ044).
通讯作者:姚奕,博士,副教授,研究方向:应用统计学. E-mail:05302@njnu.edu.cn
更新日期/Last Update: 2025-04-15