• Geographical Research
  • Vol. 39, Issue 10, 2295 (2020)
Ning XU, Xiande LI*, and Weijiang LI
Author Affiliations
  • School of Environmental and Geographical Sciences, Shanghai Normal University, Shanghai 200234, China
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    DOI: 10.11821/dlyj020200113 Cite this Article
    Ning XU, Xiande LI, Weijiang LI. The spatial pattern and underlying factors of exited automobile ventures in China[J]. Geographical Research, 2020, 39(10): 2295 Copy Citation Text show less
    Kernel density analysis of automobile ventures in China based on firm numbers
    Fig. 1. Kernel density analysis of automobile ventures in China based on firm numbers
    Kernel density analysis of exited automobile ventures in China based on firm numbers
    Fig. 2. Kernel density analysis of exited automobile ventures in China based on firm numbers
    Kernel density analysis of exited automobile ventures based on registered capital
    Fig. 3. Kernel density analysis of exited automobile ventures based on registered capital
    Mean p-value of exited automobile ventures' density in China
    Fig. 4. Mean p-value of exited automobile ventures' density in China
    Hotspots of exited automobile ventures in China
    Fig. 5. Hotspots of exited automobile ventures in China
    Influencing factors of the survival status of automobile ventures in China
    Fig. 6. Influencing factors of the survival status of automobile ventures in China
    退出企业数量(家)占所有退出企业数量的比例(%)退出企业注册资本总额(亿元)占所有退出企业注册资本总额的比例(%)企业平均退出规模(亿元/家)
    山东省9510.9795.2418.121.00
    江苏省12113.9753.7210.220.44
    辽宁省323.7042.528.091.33
    湖北省617.0442.378.060.69
    浙江省11813.6342.378.060.36
    重庆市424.8536.256.900.86
    安徽省799.1234.096.480.43
    江西省617.0427.025.140.44
    河北省404.6220.163.840.50
    山西省80.9214.702.801.84
    其他省份20924.13117.2522.300.56
    总计866100.00525.69100.000.61
    Table 1. A summary of exited automobile ventures in each of Chinese provinces
    变量维度变量代码变量名称测度方法回归系数符号预期
    因变量Exit企业是否退出企业是否注销或吊销,是为1,否为0
    产业关联City_RV相关多样化参考Frenken等[38]-
    City_UV非相关多样化+
    City_KCI产业知识复杂性参考Balland等[39]、张翼鸥等[40]-
    City_Auto_Density1汽车零部件及配件制造关联密度参考Hidalgo等[42]、金璐璐等[41]-
    City_Auto_Density2汽车整车关联密度-
    City_Industrial汽车工业总产值城市规模以上汽车企业总产值-
    区域关联City_FDI外资工业依赖度城市外资工业企业总资本/城市工业企业总资本-
    政策关联City_GOV国有工业依赖度城市国有企业工业总产值/城市工业总产值-
    City_TAX税收负担率城市汽车产业缴纳税金/城市汽车产业营业收入+
    企业异质性Type_Product是否整车整车企业赋值为1,零部件企业为0?
    Type_Ownership是否外资外资汽车企业赋值为1,内资企业为0?
    Type_Size注册资本是否大于或等于中位数注册资本大于或等于中位数赋值为1,小于中位数为0?
    Type_New是否新能源汽车新能源汽车赋值为1,传统汽车为0?
    Table 2. The definition and measurement of variables
    变量样本量均值标准差最小值最大值VIF
    Exit101040.090.2901
    City_RV101041.620.350.072.263.84
    City_UV101042.870.280.923.232.58
    City_KCI1010474.3913.4827.06100.003.61
    City_Auto_Density1101041.772.31012.834.99
    City_Auto_Density2101042.105.76032.535.94
    City_Industrial10104673.001000.0005500.002.04
    City_FDI101040.190.1600.772.32
    City_GOV101040.080.0900.911.60
    City_TAX101040.020.020.020.041.05
    Type_Product101040.030.1801.001.06
    Type_Ownership101040.100.3001.001.08
    Type_Size101040.570.4901.001.08
    Type_New101040.200.4001.001.07
    Table 3. Descriptive statistics and multicollinearity test
    模型(1)全样本模型(2)新能源汽车模型(3)传统汽车模型(4)整车企业模型(5)零部件企业
    City_RV-0.439**-0.763*-0.3050.278-0.480**
    City_UV0.548**0.798*0.514**0.0680.567***
    City_KCI0.004-0.0070.006-0.0130.005
    City_Auto_Density1-0.0020.070-0.0170.362-0.015
    City_Auto_Density20.005-0.0190.012-0.155**0.010
    City_Industrial0.0000.0000.0000.0000.000
    City_FDI-0.637*0.980-1.104***0.072-0.675**
    City_GOV-1.349**-0.288-1.682***-0.579-1.372**
    City_TAX4.088***2.019***4.537***-3.8974.067***
    Type_Product-0.211-0.340-0.078
    Type_Ownership0.007-0.1330.031-0.7300.012
    Type_Size0.014-0.1170.042-1.081**0.043
    Type_New0.066-1.0820.066
    cons-3.411***-3.218***-3.592***-2.117***-3.428***
    Correctly classified(%)91.4791.0091.5692.7591.40
    N10104200081043319773
    Table 4. Results of basic regression
    Ning XU, Xiande LI, Weijiang LI. The spatial pattern and underlying factors of exited automobile ventures in China[J]. Geographical Research, 2020, 39(10): 2295
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