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Journals >
Resources Science >
Volume 42 >
Issue 6 >
Page 1015 > Article
Resources Science
Vol. 42, Issue 6, 1015 (2020)
Effects of climate finance on carbon emissions in recipient countries
Qunzhi SHE, Xiaoli WU
*
, and An PAN
Author Affiliations
School of Economics, Zhongnan University of Economics and Law, Wuhan 430073, China
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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
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Fig. 1.
Annual climate finance flowing to 77 recipient countries during 12 periods
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Fig. 2.
Number and regional distribution of recipient countries below the threshold, 1980-2014
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变量
具体含义
单位
观测值
均值
标准差
最小值
最大值
ln
C
人均碳排放
kg/人
924
6.545
1.435
2.649
9.242
ln
cf
气候资金
美元
924
13.647
5.409
0.000
21.890
ln
y
人均收入
美元
924
7.038
1.106
4.692
9.730
ln
kl
资本劳动比
美元/人
924
6.412
1.311
2.356
9.357
trade
贸易开放度
%
924
51.973
28.824
8.406
190.698
urban
城镇化水平
%
924
43.831
21.226
4.505
94.894
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
ln
C
t
-1
0.450***
0.903***
(13.63)
(53.14)
ln
cf
t
-1
-0.001
-0.001
-0.001**
-0.001**
(-0.31)
(-0.63)
(-2.56)
(-2.15)
ln
y
0.966***
0.966***
0.501***
0.196***
(7.67)
(12.97)
(5.88)
(2.78)
(ln
y
)
2
-0.037***
-0.037***
-0.028***
-0.015***
(-4.76)
(-10.99)
(-5.94)
(-4.70)
ln
kl
0.078***
0.078***
0.100***
0.183***
(2.80)
(2.95)
(3.90)
(5.84)
trade
0.005***
0.005***
0.003***
0.002***
(8.88)
(7.58)
(7.98)
(4.49)
urban
0.006**
0.006***
0.004
0.007*
(2.30)
(11.39)
(0.39)
(1.81)
常数项
0.445
0.445
1.491***
-0.881***
(0.92)
(1.05)
(4.32)
(-3.57)
观测值
847
847
770
847
国家数
77
77
77
77
AR(2)-
p
-
-
0.324
0.207
Sargan
-
-
0.866
1.000
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
ln
C
t
-1
0.493***
0.898***
(13.99)
(48.37)
ln
cf
t
-1
-0.000
-0.000
-0.002**
-0.002***
(-0.25)
(-0.66)
(-2.39)
(-3.05)
ln
y
1.016***
1.016***
0.412***
0.175*
(7.90)
(10.72)
(4.89)
(1.95)
(ln
y
)
2
-0.042***
-0.042***
-0.026***
-0.016***
(-5.09)
(-7.92)
(-5.36)
(-4.03)
ln
cf
t
-1
×ln
y
0.003*
0.003*
0.002***
0.002***
(1.83)
(1.88)
(2.78)
(3.14)
ln
kl
0.087***
0.087***
0.135***
0.202***
(3.08)
(3.12)
(4.97)
(5.30)
trade
0.005***
0.005***
0.002***
0.002***
(8.74)
(7.15)
(5.52)
(4.23)
urban
0.006**
0.006***
0.014
0.005
(2.21)
(9.71)
(1.46)
(1.24)
常数项
0.269
0.269
1.302***
-0.835***
(0.55)
(0.55)
(3.75)
(-2.84)
观测值
847
847
770
847
国家数
77
77
77
77
AR(2)-
p
-
-
0.297
0.228
Sargan
-
-
0.988
1.000
Table 3.
Regression estimation results of the model with interaction term
门槛变量
门槛数
F
值
P
值
门槛值
95%置信区间
lny
单一
53.530***
0.000
6.263
(5.697, 6.325)
双重
4.780
0.754
6.000
(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
ln
y
≤ 6.263
-0.007***
ln
y
>6.263
0.002
(-2.73)
(0.90)
Table 5.
Regression estimation results of threshold effect model
Abstract
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Qunzhi SHE, Xiaoli WU, An PAN.
Effects of climate finance on carbon emissions in recipient countries
[J]. Resources Science, 2020, 42(6): 1015
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Paper Information
Special Issue:
Received: Dec. 19, 2019
Accepted: --
Published Online: Jun. 25, 2020
The Author Email: WU Xiaoli (wuxl1025@163.com)
DOI:
10.18402/resci.2020.06.01
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