Researching | Effects of climate finance on carbon emissions in recipient countries

Resources Science, Volume. 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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Figures&Tables (7)

References (44)

Paper Information

Figures & Tables(7)

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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Table 1. Descriptive statistics of the variables

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Table 1. Descriptive statistics of the variables

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	924	6.545	1.435	2.649	9.242
lncf	气候资金	美元	924	13.647	5.409	0.000	21.890
lny	人均收入	美元	924	7.038	1.106	4.692	9.730
lnkl	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 2. Regression estimation results of the benchmark model

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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_-1			0.450***	0.903***
lnC_t_-1			(13.63)	(53.14)
lncf_t_-1	-0.001	-0.001	-0.001**	-0.001**
lncf_t_-1	(-0.31)	(-0.63)	(-2.56)	(-2.15)
lny	0.966***	0.966***	0.501***	0.196***
lny	(7.67)	(12.97)	(5.88)	(2.78)
(lny)²	-0.037***	-0.037***	-0.028***	-0.015***
(lny)²	(-4.76)	(-10.99)	(-5.94)	(-4.70)
lnkl	0.078***	0.078***	0.100***	0.183***
lnkl	(2.80)	(2.95)	(3.90)	(5.84)
trade	0.005***	0.005***	0.003***	0.002***
trade	(8.88)	(7.58)	(7.98)	(4.49)
urban	0.006**	0.006***	0.004	0.007*
urban	(2.30)	(11.39)	(0.39)	(1.81)
常数项	0.445	0.445	1.491***	-0.881***
常数项	(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 3. Regression estimation results of the model with interaction term

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Table 3. Regression estimation results of the model with interaction term

变量	（1）常规标准误	（2）稳健标准误	（3）差分GMM	（4）系统GMM
lnC _t_-1			0.493***	0.898***
lnC _t_-1			(13.99)	(48.37)
lncf _t_-1	-0.000	-0.000	-0.002**	-0.002***
lncf _t_-1	(-0.25)	(-0.66)	(-2.39)	(-3.05)
lny	1.016***	1.016***	0.412***	0.175*
lny	(7.90)	(10.72)	(4.89)	(1.95)
(lny)²	-0.042***	-0.042***	-0.026***	-0.016***
(lny)²	(-5.09)	(-7.92)	(-5.36)	(-4.03)
lncf _t_-1×lny	0.003*	0.003*	0.002***	0.002***
lncf _t_-1×lny	(1.83)	(1.88)	(2.78)	(3.14)
lnkl	0.087***	0.087***	0.135***	0.202***
lnkl	(3.08)	(3.12)	(4.97)	(5.30)
trade	0.005***	0.005***	0.002***	0.002***
trade	(8.74)	(7.15)	(5.52)	(4.23)
urban	0.006**	0.006***	0.014	0.005
urban	(2.21)	(9.71)	(1.46)	(1.24)
常数项	0.269	0.269	1.302***	-0.835***
常数项	(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 4. Threshold significance test, threshold value, and confidence interval
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Table 4. Threshold significance test, threshold value, and confidence interval
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 5. Regression estimation results of threshold effect model
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Table 5. Regression estimation results of threshold effect model
门槛区间估计参数门槛区间估计参数
lny ≤ 6.263 -0.007*** lny>6.263 0.002
(-2.73) (0.90)

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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

Received: Dec. 19, 2019

Accepted: --

Published Online: Apr. 15, 2021

The Author Email: Xiaoli WU (wuxl1025@163.com)

DOI:10.18402/resci.2020.06.01

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