• Geographical Research
  • Vol. 39, Issue 9, 2000 (2020)
Honggang QI1, Wei QI2、3、*, and Shenghe LIU2、3
Author Affiliations
  • 1School of Geographic and Environmental Sciences, Tianjin Normal University, Tianjin 300387, China
  • 2Key Laboratory of Regional Sustainable Development Modeling, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China
  • 3University of Chinese Academy of Sciences, Beijing 100049, China
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    DOI: 10.11821/dlyj020200575 Cite this Article
    Honggang QI, Wei QI, Shenghe LIU. Talents concentration in the Guangdong-Hong Kong-Macao Greater Bay Area, China: Evolution pattern and driving factors[J]. Geographical Research, 2020, 39(9): 2000 Copy Citation Text show less
    Definitions of talents in China
    Fig. 1. Definitions of talents in China
    Spatial distribution of the share of talents in the Guangdong-Hong Kong-Macao Greater Bay Area from 2005 to 2015
    Fig. 2. Spatial distribution of the share of talents in the Guangdong-Hong Kong-Macao Greater Bay Area from 2005 to 2015
    Service and manufacturing employment share of different counties in the Guangdong-Hong Kong-Macao Greater Bay Area in 2015
    Fig. 3. Service and manufacturing employment share of different counties in the Guangdong-Hong Kong-Macao Greater Bay Area in 2015
    The correlations between shares of highly-educated and highly-skilled talents
    Fig. 4. The correlations between shares of highly-educated and highly-skilled talents
    Relationships among highly-educated, less-educated, highly-skilled and lowed-skilled workers in 2015
    Fig. 5. Relationships among highly-educated, less-educated, highly-skilled and lowed-skilled workers in 2015
    Talents share comparisons among Hong Kong, Macao and prefecture-level cities in the Pearl River Delta in 2015
    Fig. 6. Talents share comparisons among Hong Kong, Macao and prefecture-level cities in the Pearl River Delta in 2015
    The gap between the level of concentration of highly-educated and highly-skilled talents
    Fig. 7. The gap between the level of concentration of highly-educated and highly-skilled talents
    城市群高学历人才占比与规模高技能人才占比与规模
    2005年2010年2015年2005年2010年2015年
    粤港澳大湾区12.4716.3522.1312.8114.0715.17
    (402.26)(649.59)(858.78)(413.04)(558.99)(588.47)
    其中:珠三角9.5913.5619.2810.2011.9612.52
    (274.96)(487.01)(667.59)(292.58)(429.63)(433.35)
    京津冀10.2114.8321.2812.5811.4114.08
    (527.04)(853.95)(1193.72)(649.03)(657.03)(789.77)
    长江三角洲9.3014.8120.0310.2612.7014.00
    (720.74)(1332.83)(1769.11)(794.98)(1143.50)(1236.60)
    Table 1. Talents distribution of top three urban agglomerations in China
    城市群2015人均GDP(万元)2015年第三产业就业人口占比(%)211高校数量
    粤港澳大湾区12.6646.5511
    其中:珠三角10.6042.064
    京津冀7.0545.5131
    长江三角洲10.2642.3022
    Table 2. Statistics of employment, economy and education of top three urban agglomerations in China
    2005年2010年2015年
    高学历人才1.000.880.83
    高技能人才0.770.670.70
    Table 3. The coefficient of variance of the share of highly-educated and highly-skilled workers
    符号变量说明Obs2005年2010年2015年
    MeanStdMeanStdMeanStd
    MAU制造业劳动力占就业人口的比例(%)2428.1320.9031.5621.0530.0217.63
    TER服务业劳动力占就业人口的比例(%)2430.8718.9033.2220.1440.1519.05
    WAG职工平均工资(元)2424643.2025964.9037212.6020993.3062719.1027184.00
    MED每万人医疗卫生机构床位数(张/万人)2423.0611.4325.3411.2338.3619.36
    EDU每千人高学历在校生(人/千人)248.9015.7813.6225.3518.1632.30
    MST中学在校生与教师的比值2418.471.8116.121.6312.971.49
    Table 4. Description and statistics of explanatory variables
    高学历人才占比高技能人才占比
    MAU-0.1870.0190.0520.026
    (-1.602)(0.293)(0.643)(0.664)
    TER0.961***0.750***0.850***0.840***
    (3.742)(4.562)(4.801)(8.039)
    WAG0.533***0.305***0.1100.105
    (3.951)(2.834)(1.177)(1.492)
    MST0.385-0.0890.0670.147
    (1.108)(-0.313)(0.279)(0.772)
    MED-0.478**-0.205-0.389***-0.285***
    (-2.589)(-1.427)(-3.056)(-3.034)
    EDU0.357***0.236***0.0840.097***
    (2.833)(4.298)(0.971)(2.811)
    _cons-6.189***-3.155*-1.104-1.520
    (-2.848)(-1.868)(-0.737)(-1.360)
    N72727272
    R20.7380.8520.5570.856
    Hausman′s p0.1280.118
    ModelFEREFERE
    Table 5. Regression results of drivers of talent concentration
    Honggang QI, Wei QI, Shenghe LIU. Talents concentration in the Guangdong-Hong Kong-Macao Greater Bay Area, China: Evolution pattern and driving factors[J]. Geographical Research, 2020, 39(9): 2000
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