地理科学 ›› 2020, Vol. 40 ›› Issue (11): 1822-1830.doi: 10.13249/j.cnki.sgs.2020.11.007
收稿日期:
2019-09-29
修回日期:
2019-12-04
出版日期:
2020-11-10
发布日期:
2020-11-10
通讯作者:
刘晔
E-mail:wurongwei16@mails.ucas.ac.cn;liuye25@mail.sysu.edu.cn
作者简介:
武荣伟(1989−),男,山西忻州人,博士,助研,主要研究方向为人口地理、城市地理和社会地理。E-mail: 基金资助:
Wu Rongwei1(), Wang Ruoyu1, Liu Ye1,*(
), Gu Hengyu2
Received:
2019-09-29
Revised:
2019-12-04
Online:
2020-11-10
Published:
2020-11-10
Contact:
Liu Ye
E-mail:wurongwei16@mails.ucas.ac.cn;liuye25@mail.sysu.edu.cn
Supported by:
摘要:
基于2000年、2010年中国人口普查分地级及以上行政区数据和2015年中国各省份1%人口抽样调查数据,采用变异系数、泰尔系数、基尼系数测度中国高学历人才比重分布的空间不均衡程度,并采用面板数据Tobit随机效应模型,识别影响高学历人才比重空间分布的主要因素。结果表明:① 中国的人才比重分布表现出极大的不均衡性,人才比重的高低与城市等级密切相关,主要表现在直辖市、省会城市、计划单列市等行政区吸引了大量人才,而普通地级城市人才比重相对较低;② 10 a间人才比重的变异系数、基尼指数和泰尔指数均有所下降,表明人才比重分布的空间不均衡程度有所下降;③ 平均工资水平、生活成本、城市等级、每万人高校在校学生数、每万人医院卫生院床位数、人均科学事业、教育事业经费与人才比重呈正相关,中学生师比、万人互联网用户数与人才比重呈负相关,失业率、单位面积二氧化硫排放量、绿地率对人才比重没有影响。
中图分类号:
武荣伟, 王若宇, 刘晔, 古恒宇. 2000—2015年中国高学历人才分布格局及其影响机制[J]. 地理科学, 2020, 40(11): 1822-1830.
Wu Rongwei, Wang Ruoyu, Liu Ye, Gu Hengyu. Spatial Pattern and Determinants of Highly Educated Talents in China, 2000-2015[J]. SCIENTIA GEOGRAPHICA SINICA, 2020, 40(11): 1822-1830.
Table 1
Estimation results of econometric models"
变量 | 面板 Tobit | |||
混合回归 | 标准误差 | 随机效应 | 标准误差 | |
注:*、**、***分别为P<0.1、P<0.05、P<0.01;空白为无此项;不含港澳台基础数据。 | ||||
在岗职工平均工资 | 0.755** | 0.349 | 0.755** | 0.329 |
生活成本 | 0.876** | 0.352 | 0.972*** | 0.329 |
失业率 | 0.189 | 0.127 | 0.105 | 0.136 |
城市等级 | 4.702*** | 0.546 | 4.921*** | 0.274 |
每万人高校在校学生数 | 0.312*** | 0.064 | 0.268*** | 0.066 |
每万人医院卫生院床位数 | 1.383*** | 0.223 | 1.406*** | 0.240 |
中学生师比 | ?1.331*** | 0.485 | ?1.252*** | 0.371 |
单位土地面积SO2排放量 | 0.006 | 0.053 | ?0.013 | 0.054 |
绿地率 | ?0.218 | 0.143 | ?0.263 | 0.181 |
人均科研事业费 | 0.338*** | 0.106 | 0.387*** | 0.095 |
人均教育事业费 | 0.395*** | 0.118 | 0.399*** | 0.072 |
万人互联网用户数 | ?0.498*** | 0.130 | ?0.577*** | 0.115 |
常数项 | ?10.225*** | 4.354 | ?10.207*** | 3.977 |
样本量 | 819 | 819 | ||
似然比检验 | 25.00 |
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