Resources Science, Volume. 42, Issue 9, 1750(2020)

The impact of carbon trading policy on the economic performance of highly polluting industrial enterprises:Empirical analysis based on multiple mediating effect model

Xiaosong REN1、*, Qian MA2, Yujia LIU1, and Guohao ZHAO3
Author Affiliations
  • 1School of Management Science and Engineering, Shanxi University of Finance and Economics, Taiyuan 030031, China
  • 2School of Accounting, Shanxi University of Finance and Economics, Taiyuan 030031, China
  • 3School of Business Administration, Shanxi University of Finance and Economics, Taiyuan 030031, China
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    Figures & Tables(7)
    Research framework of multiple mediating effects
    • Table 1. Balance test of propensity score matching (PSM)

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      Table 1. Balance test of propensity score matching (PSM)

      变量均值误差率 %误差变动率 %T检验
      对照组实验组t valuep>|t|
      lnass匹配前22.98622.63523.292.05.140.000
      匹配后22.99822.9691.90.310.758
      asslia匹配前48.20050.182-10.296.1-2.140.033
      匹配后48.21948.1410.40.070.945
      share匹配前35.94437.955-12.473.7-2.620.009
      匹配后36.04435.5143.30.600.551
      tbq匹配前2.2461.94117.787.04.190.000
      匹配后2.1602.120-2.3-0.460.644
      owner匹配前0.5600.632-14.687.0-3.110.002
      匹配后0.5620.571-1.9-0.330.742
    • Table 2. Impact of carbon trading policies on the economic performance of highly polluting industrial enterprises

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      Table 2. Impact of carbon trading policies on the economic performance of highly polluting industrial enterprises

      DIDPSM-DID
      EaRoaEaRoa
      (1)(2)(3)(4)(5)(6)(7)(8)
      did1.959***(3.69)1.911***(3.86)2.174***(4.37)2.117***(4.60)2.024***(2.98)1.915***(3.10)2.314***(3.66)2.208***(3.87)
      lnass2.577***(7.54)2.512***(7.91)3.630***(9.01)3.450***(9.27)
      asslia-0.190***(-15.65)-0.186***(-16.49)-0.202***(-13.46)-0.197***(-14.23)
      share0.033*(1.73)0.030*(1.69)0.034(1.47)0.030(1.39)
      tbq0.846***(7.70)0.841***(8.24)1.655***(9.93)1.617***(10.51)
      owner0.591(0.49)0.133(0.12)1.099(0.82)0.658(0.53)
      个体固定效应YYYYYYYY
      时间固定效应YYYYYYYY
      常数项4.672***(14.70)-47.15***(-6.21)5.278***(17.72)-44.86***(-6.35)4.925***(11.99)-72.98***(-8.13)5.529***(14.44)-68.05***(-8.21)
      R-square0.0200.1310.0270.1590.0200.1250.0250.152
      N22142214221422141688168816881688
    • Table 3. Estimation results of difference-in-differences-in-differences (DDD) models of carbon trading policy effect on economic performance of highly polluting industrial enterprises

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      Table 3. Estimation results of difference-in-differences-in-differences (DDD) models of carbon trading policy effect on economic performance of highly polluting industrial enterprises

      EaRoa
      (1)(2)(3)(4)(5)(6)(7)(8)
      arear×timet×industryj1.994***(4.58)2.211***(4.14)1.602***(3.56)1.935***(3.38)2.274***(5.45)2.414***(4.26)1.890***(4.18)2.037***(3.46)
      控制变量YYYYYYYY
      个体固定效应YYYYYY
      时间固定效应YYYYYYYY
      地区×时间趋势固定效应YYYYYY
      行业×时间趋势固定效应YYYY
      常数项-43.17***(-7.45)135.6(0.42)-27.8***(-5.81)222.0(0.31)-43.65***(-7.85)81.01(0.22)-29.0***(-6.02)-125.9(-0.18)
      R-square0.1530.0020.2510.0010.1770.0010.2850.001
      N31143114311431143114311431143114
    • Table 4. Mechanism analysis of the multiple mediating effect of carbon trading policy on the economic performance of highly polluting industrial enterprises

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      Table 4. Mechanism analysis of the multiple mediating effect of carbon trading policy on the economic performance of highly polluting industrial enterprises

      变量EaRoa
      总体中介效应0.235**[0.017,0.450]0.226**[0.002,0.443]
      并行中介效应Lcs (a1b1)-0.058**[-0.101,-0.020]-0.071**[-0.122,-0.031]
      Cash (a2b2)0.210**[0.001,0.426]0.211**[0.001,0.433]
      R&D (a3b3)0.034**[0.005,0.079]0.037**[0.005,0.078]
      链式中介效应LcsCash (a1d1b2)0.049**[0.026,0.080]0.049**[0.027,0.082]
      LcsR&D (a1d2b3)0.004**[0.001,0.011]0.004**[0.001,0.011]
      CashR&D (a2d3b3)-0.003**[-0.010,-0.001]-0.004**[-0.10,-0.001]
      LcsCashR&D (a1d1d3b3)-0.001**[-0.002,-0.001]-0.001**[-0.002,-0.001]
    • Table 5. Heterogeneity analysis of carbon trading policy effect on economic performance of highly polluting industrial enterprises

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      Table 5. Heterogeneity analysis of carbon trading policy effect on economic performance of highly polluting industrial enterprises

      变量企业所有制企业规模
      国有企业非国有企业大规模企业小规模企业
      arear×timet×industryj1.782***(3.43)2.618**(2.27)1.485**(2.31)2.655***(3.07)
      控制变量YYYY
      个体固定效应YYYY
      时间固定效应YYYY
      地区×时间趋势固定效应YYYY
      行业×时间趋势固定效应YYYY
      常数项-43.16(-0.09)-68.33(-0.04)145.2(0.22)-347.0(-0.30)
      R-square0.0140.0310.0100.014
      N1903121114221692
    • Table 6. Heterogeneity analysis of the multiple mediating effect of carbon trading policy on the economic performance of highly polluting industrial enterprises

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      Table 6. Heterogeneity analysis of the multiple mediating effect of carbon trading policy on the economic performance of highly polluting industrial enterprises

      变量企业所有制企业规模
      国有企业非国有企业大规模企业小规模企业
      总体中介效应0.370**[0.147,0.617]0.277[-0.140,0.620]0.534**[0.257,0.847]0.187[-0.180,0.547]
      总体中介效应Lcs (a1b1)-0.119**[-0.120,-0.058]0.114**[0.033,0.240]-0.126**[-0.238,-0.059]0.050**[0.001,0.143]
      Cash (a2b2)0.443**[0.213,0.679]-0.024[-0.425,0.314]0.619**[0.353,0.935]-0.090[-0.426,0.245]
      R&D (a3b3)0.002[-0.010,0.027]0.161**[0.062,0.329]0.004[-0.007,0.044]0.206**[0.113,0.355]
      链式中介效应LcsCash (a1d1b2)0.045**[0.017,0.082]0.028**[0.008,0.066]0.036[-0.001,0.082]0.011**[0.001,0.031]
      LcsR&D (a1d2b3)0.003[-0.001,0.012]-0.003[-0.024,0.006]-0.001[-0.006,0.001]0.008**[0.001,0.020]
      CashR&D (a2d3b3)-0.004[-0.012,0.002]-0.001[-0.011,0.004]0.002[-0.004,0.010]0.003[-0.007,0.016]
      LcsCashR&D (a1d1d3b3)-0.001[-0.001,0.01]0.001[-0.001,0.002]0.001[-0.001,0.001]-0.001**[-0.001,-0.0002]
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    Xiaosong REN, Qian MA, Yujia LIU, Guohao ZHAO. The impact of carbon trading policy on the economic performance of highly polluting industrial enterprises:Empirical analysis based on multiple mediating effect model[J]. Resources Science, 2020, 42(9): 1750

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    Paper Information

    Received: Jan. 29, 2020

    Accepted: --

    Published Online: Apr. 23, 2021

    The Author Email: REN Xiaosong (renxs@sxufe.edu.cn)

    DOI:10.18402/resci.2020.09.10

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