Resources Science, Volume. 42, Issue 8, 1551(2020)

Effect of government financial support on the development of China’s rare earth industry and influencing factors

Juan DONG1, Minggui ZHENG1,2、*, and Changbiao ZHONG3
Author Affiliations
  • 1School of Economics and Management, Jiangxi University of Science and Technology, Ganzhou 341000, China
  • 2School of Management, University of Science and Technology of China, Hefei 230026, China
  • 3School of Business, Yunnan University of Finance and Economics, Kunming 650221, China
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    Figures & Tables(7)
    Comparison of government financial support efficiency of the front-end and the back-end of the rare earth industrial chain and the change of the whole industry, 2010-2019
    • Table 1. Variables and their measurements

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      Table 1. Variables and their measurements

      变量类型变量符号变量度量单位
      投入变量x1固定资产净值亿元
      x2主营业务成本亿元
      x3员工总人数
      x4研发支出总额亿元
      产出变量y营业收入亿元
      环境变量W计入当期损益的政府补助亿元
      影响因素Sub政府补助/营业收入%
      Size资产总额的自然对数
      控制变量Roe净资产收益率%
      Fsr第一控股股东持股比例%
      Lev负债总额/资产总额%
      Own当企业控股股东为国家或地方政府时取值为1;否则取值为0
      Age计算年-成立年,并取自然对数
      Year年度虚拟变量。共有10个年度,设置9个虚拟变量。
    • Table 2. Descriptive statistics of input, output and environment variables

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      Table 2. Descriptive statistics of input, output and environment variables

      编号单位平均值标准差极小值极大值
      x1亿元13.92117.3200.42791.276
      x2亿元32.00040.3021.875183.987
      x34691740626371244
      x4亿元0.9981.6190.00111.397
      y亿元40.48947.4802.522239.158
      W亿元0.3390.4780.0002.949
    • Table 3. Government financial support efficiency of listed rare earth companies in China, 2010-2019

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      Table 3. Government financial support efficiency of listed rare earth companies in China, 2010-2019

      企业2010201120122013201420152016201720182019多年均值
      前端北方稀土1.0731.0000.8790.7130.8780.8160.7430.7210.8300.8390.849
      广晟有色1.7121.6061.7401.5600.8401.0120.8791.0940.8841.0001.233
      厦门钨业0.8300.9130.8070.7380.6580.6930.6710.7711.0000.5110.759
      中色股份1.9801.4941.0481.2041.2041.2121.0001.2441.2351.1201.274
      五矿稀土1.0341.1441.1991.0002.2661.1641.3831.3201.314
      盛和资源2.8742.1371.6891.5111.0350.8060.8300.8411.465
      后端中科三环1.1640.9760.9240.9360.8810.9160.9200.8850.8410.7960.924
      中钢天源2.2021.7492.0361.4131.5521.3112.0921.0800.9390.8171.519
      银河磁体3.4102.2362.1612.5892.1322.6002.5662.2442.3962.0302.436
      宁波韵升1.2731.0601.0691.1511.2671.2381.0351.0611.0801.0581.129
      英洛华1.9731.5541.2591.2531.6961.4251.1751.1891.0330.9821.354
      有研新材1.9541.4441.7311.0000.6521.0221.0000.9491.0871.0001.184
      正海磁材1.5050.9841.2851.6631.4581.1261.0101.2791.0761.0411.243
      科恒股份2.9071.3891.9203.0142.7052.3331.3130.9680.8260.8701.824
      北矿科技5.2912.7832.9106.7571.0001.9891.6351.1711.1370.8752.555
      领益智造2.4181.9871.5991.4421.2060.9381.0770.9301.0561.0001.365
      横店东磁1.2130.8740.8910.8590.8820.9040.8920.8480.8250.7090.890
      安泰科技0.7860.7060.6670.8070.7950.8390.8070.7520.7150.7350.761
      科力远1.2020.9101.1891.2571.1470.5810.9830.2600.8670.8790.927
      鸿达兴业1.1501.0301.4960.7470.7020.7020.7340.937
      均值全行业1.9351.3921.4751.6391.2441.2481.1921.0061.0370.9581.313
      前端1.3991.2541.3971.2501.0781.0411.0990.9671.0270.9391.145
      后端2.1001.4351.5111.8061.3151.3371.2321.0231.0410.9661.377
    • Table 4. Descriptive statistics of influencing factors and control variables

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      Table 4. Descriptive statistics of influencing factors and control variables

      变量类型符号单位平均值标准差极小值极大值
      因变量GE1.3010.7410.2606.757
      自变量Sub%1.1751.8210.00715.338
      Size22.0141.09219.21224.031
      控制变量Roe%7.05013.986-54.11084.670
      Fsr%34.88511.94314.04091.820
      Lev%37.01520.0211.56185.492
      Own0.5390.4980.0001.000
      Age2.8620.2972.0793.784
    • Table 5. Regression results of factors influencing the efficiency of government finical support for China’s rare earth industry

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      Table 5. Regression results of factors influencing the efficiency of government finical support for China’s rare earth industry

      变量(1)(2)(3)(4)(5)
      Sub-14.411***(2.72)9.484***(2.92)4.472*(1.83)
      Sub-12-48.251*(-1.66)-15.869*(-1.72)
      Size0.324***(7.22)0.296***(7.19)
      Roe-0.531**(-2.29)-0.261(-1.37)-0.256(-1.38)0.158(0.87)0.211(1.21)
      Fsr0.539**(2.31)0.495*(1.71)0.491*(1.71)0.246*(1.88)0.184*(1.74)
      Lev-0.686***(-4.73)-0.699***(-3.54)-0.651***(-3.35)-0.005***(-3.93)-0.076***(-4.44)
      Own0.015(0.16)0.190(1.25)0.209(1.40)0.018(0.24)0.019(0.27)
      Age-0.204***(-3.17)-0.153*(-1.73)-0.161*(-1.85)-0.323**(-2.35)-0.344**(-2.51)
      常数项2.462***(7.93)0.824(1.59)0.701(1.38)0.789*(2.02)-0.604(0.95)
      Year控制控制控制控制控制
      Wald检验107.15**51.66***53.08***123.39***111.05***
      观测值193173173193173
    • Table 6. Robustness test results

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      Table 6. Robustness test results

      变量全样本国有企业民营企业
      (6) GMM(7) DK(8) FGLS(9) FGLS
      GE-10.351***(7.39)
      Sub-14.672**(2.56)3.904**(2.90)5.587**(2.39)8.622*(1.87)
      Sub-12-16.189*(-1.92)-15.461*(-1.78)-21.491*(-1.76)-65.313*(-1.75)
      Size0.238***(6.20)0.227***(5.69)0.290***(7.02)0.440***(6.66)
      Roe-1.136*(-1.92)-0.781*(-2.05)0.546*(1.75)0.052(0.17)
      Fsr1.335*(1.72)1.256*(1.91)0.026*(1.82)0.506*(1.78)
      Lev-0.367***(-2.94)-0.169***(-2.79)-0.571***(-2.78)-0.642***(-2.81)
      Own0.082(1.01)
      Age-0.544***(-3.34)-0.138*(-1.76)-0.476*(-1.91)-0.213**(-2.69)
      常数项-4.583*(-1.95)-1.498(-0.30)-6.021*(-2.45)-3.718*(-1.81)
      Year控制控制控制控制
      Sargan检验0.379
      AR(1)检验0.042**
      AR(2)检验0.218
      Wald检验298.37***94.66***116.70***
      F统计量6961.47***
      组间R-squared0.2317
      观测值1731739380
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    Juan DONG, Minggui ZHENG, Changbiao ZHONG. Effect of government financial support on the development of China’s rare earth industry and influencing factors[J]. Resources Science, 2020, 42(8): 1551

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    Paper Information

    Received: Feb. 19, 2020

    Accepted: --

    Published Online: Apr. 23, 2021

    The Author Email: ZHENG Minggui (mgz268@sina.com)

    DOI:10.18402/resci.2020.08.10

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