• Resources Science
  • Vol. 42, Issue 6, 1015 (2020)
Qunzhi SHE, Xiaoli WU*, and An PAN
Author Affiliations
  • School of Economics, Zhongnan University of Economics and Law, Wuhan 430073, China
  • show less
    DOI: 10.18402/resci.2020.06.01 Cite this Article
    Qunzhi SHE, Xiaoli WU, An PAN. Effects of climate finance on carbon emissions in recipient countries[J]. Resources Science, 2020, 42(6): 1015 Copy Citation Text show less
    Annual climate finance flowing to 77 recipient countries during 12 periods
    Fig. 1. Annual climate finance flowing to 77 recipient countries during 12 periods
    Number and regional distribution of recipient countries below the threshold, 1980-2014
    Fig. 2. Number and regional distribution of recipient countries below the threshold, 1980-2014
    变量具体含义单位观测值均值标准差最小值最大值
    lnC人均碳排放kg/人9246.5451.4352.6499.242
    lncf气候资金美元92413.6475.4090.00021.890
    lny人均收入美元9247.0381.1064.6929.730
    lnkl资本劳动比美元/人9246.4121.3112.3569.357
    trade贸易开放度%92451.97328.8248.406190.698
    urban城镇化水平%92443.83121.2264.50594.894
    Table 1. Descriptive statistics of the variables
    变量(1)常规标准误(2)稳健标准误(3)差分GMM(4)系统GMM
    lnCt-10.450***0.903***
    (13.63)(53.14)
    lncft-1-0.001-0.001-0.001**-0.001**
    (-0.31)(-0.63)(-2.56)(-2.15)
    lny0.966***0.966***0.501***0.196***
    (7.67)(12.97)(5.88)(2.78)
    (lny)2-0.037***-0.037***-0.028***-0.015***
    (-4.76)(-10.99)(-5.94)(-4.70)
    lnkl0.078***0.078***0.100***0.183***
    (2.80)(2.95)(3.90)(5.84)
    trade0.005***0.005***0.003***0.002***
    (8.88)(7.58)(7.98)(4.49)
    urban0.006**0.006***0.0040.007*
    (2.30)(11.39)(0.39)(1.81)
    常数项0.4450.4451.491***-0.881***
    (0.92)(1.05)(4.32)(-3.57)
    观测值847847770847
    国家数77777777
    AR(2)-p--0.3240.207
    Sargan--0.8661.000
    Table 2. Regression estimation results of the benchmark model
    变量(1)常规标准误(2)稳健标准误(3)差分GMM(4)系统GMM
    lnC t-10.493***0.898***
    (13.99)(48.37)
    lncf t-1-0.000-0.000-0.002**-0.002***
    (-0.25)(-0.66)(-2.39)(-3.05)
    lny1.016***1.016***0.412***0.175*
    (7.90)(10.72)(4.89)(1.95)
    (lny)2-0.042***-0.042***-0.026***-0.016***
    (-5.09)(-7.92)(-5.36)(-4.03)
    lncf t-1×lny0.003*0.003*0.002***0.002***
    (1.83)(1.88)(2.78)(3.14)
    lnkl0.087***0.087***0.135***0.202***
    (3.08)(3.12)(4.97)(5.30)
    trade0.005***0.005***0.002***0.002***
    (8.74)(7.15)(5.52)(4.23)
    urban0.006**0.006***0.0140.005
    (2.21)(9.71)(1.46)(1.24)
    常数项0.2690.2691.302***-0.835***
    (0.55)(0.55)(3.75)(-2.84)
    观测值847847770847
    国家数77777777
    AR(2)-p--0.2970.228
    Sargan--0.9881.000
    Table 3. Regression estimation results of the model with interaction term
    门槛变量门槛数FP门槛值95%置信区间
    lny单一53.530***0.0006.263(5.697, 6.325)
    双重4.7800.7546.000(5.973, 6.571)
    Table 4. Threshold significance test, threshold value, and confidence interval
    门槛区间估计参数门槛区间估计参数
    lny ≤ 6.263-0.007***lny>6.2630.002
    (-2.73)(0.90)
    Table 5. Regression estimation results of threshold effect model