中国城市数字金融发展对碳排放绩效的影响及机理

doi:10.18402/resci.2021.11.14

Abstract

Abstract:

Based on a theoretical analysis, this study used the balanced panel data of 285 city samples in China from 2012 to 2018 to empirically analyze the impact of digital finance development on carbon emission performance by using the panel regression model and instrumental variable method. The results show that: (1) The development of digital finance significantly reduces the carbon emission intensity and improves the carbon emission efficiency, and the improvement of the coverage, use depth, and digitalization degree of digital finance improves the carbon emission performance. (2) The analysis of intermediary mechanism shows that the development of digital finance reduces carbon emission intensity through economic growth effect, industrial structure effect, and technological innovation effect, and improves carbon emission efficiency through economic growth effect and technological innovation effect. In general, the development of digital finance improves carbon emission performance through these three effects. (3) The results of heterogeneity analysis show that the development of digital finance is more conducive to reducing the carbon emission intensity of cities with low economic development level and low financial development level; with regard to carbon emission efficiency, the development of digital finance is more conducive to improving the carbon emission efficiency of cities with high economic development level and high financial development level, which is a result of the different basic conditions of technological innovation.

Key words: digital finance, carbon emission intensity, carbon emission efficiency, intermediary mechanism, heterogeneity effect, China

DENG Rongrong, ZHANG Aoxiang. The impact of urban digital finance development on carbon emission performance in China and mechanism[J].Resources Science, 2021, 43(11): 2316-2330.

Figures/Tables 11

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变量类型	变量	单位	样本量	均值	标准差	最小值	最大值
被解释变量	Ci	t/万元	1995	6.973	4.981	0.400	39.120
被解释变量	Ce	指数	1995	0.257	0.127	0.061	1.000
核心解释变量	Df	指数	1995	170.400	51.060	55.520	303.000
	Bre	指数	1995	159.500	49.700	36.110	290.300
	Dep	指数	1995	167.700	57.130	27.830	325.700
	Dig	指数	1995	211.300	64.260	51.520	581.200
中介变量	Rgdp	万元/人	1995	5.444	5.152	0.618	55.680
	Tec	对数	1995	6.237	1.737	0.001	11.37
	Ins	指数	1995	6.510	0.348	5.517	7.614
控制变量	Pi	百人/km²	1995	4.339	3.399	0.051	26.480
	Reg	%	1995	39.250	7.327	0.590	95.250
	Fi	%	1995	16.300	1.132	13.720	20.270
	Fdi	%	1995	11.720	10.500	0.000	73.620
	Gov	%	1995	19.700	13.050	4.388	234.900
	Rs	%	1995	0.267	0.584	0.002	6.085

变量	固定效应回归		工具变量回归
变量	Ci	Ce	Ci	Ce
Df	-0.0032***	0.0004***	-0.0433***	0.0002**
	(0.0012)	(0.0000)	(0.0076)	(0.0001)
Pi	-0.0281	-0.0105**	0.0208	-0.0018^*
	(0.1021)	(0.0041)	(0.1009)	(0.0011)
Reg	-0.0005	-0.0001	-0.0004**	0.0004**
	(0.0053)	(0.0002)	(0.0002)	(0.0002)
Jr	-0.4482**	0.0201***	-0.0778***	0.0584***
	(0.1739)	(0.0070)	(0.0253)	(0.0130)
Fdi	-0.0272**	-0.0002	0.0007	0.0008*
	(0.0116)	(0.0005)	(0.0006)	(0.0004)
Gov	0.0206***	-0.0003*	-0.0001	-0.0001
	(0.0044)	(0.0002)	(0.0002)	(0.0004)
Rs	0.8213***	0.0436***	0.0744***	0.0683***
	(0.2732)	(0.0110)	(0.0131)	(0.0077)
Constant	14.3676***	0.5536***	-0.9843***	-0.6889***
	(2.7081)	(0.1093)	(0.3859)	(0.3373)
Observations	1995	1995	1710	1710
R-squared	0.091	0.153	0.153	0.153
C-D Wald-F			130.198	130.198

变量	数字金融覆盖度		数字金融使用深度		数字化程度
变量	Ci	Ce	Ci	Ce	Ci	Ce
Bre	-0.0050***	0.0004***
	(0.0013)	(0.0001)
Dep			-0.0001	0.0004***
			(0.0009)	(0.0000)
Dig					-0.0020***	0.0001***
					(0.0007)	(0.0000)
Constant	11.6999***	0.3821***	20.5174***	0.4711***	15.9865***	-0.0242
	(2.7252)	(0.1113)	(2.2836)	(0.0911)	(2.1296)	(0.0877)
控制变量	是	是	是	是	是	是
固定效应	是	是	是	是	是	是
Observations	1995	1995	1995	1995	1995	1995
R-squared	0.095	0.137	0.087	0.169	0.091	0.120

变量	Rgdp	Ins	Tec
Df	0.0148***	0.0018***	0.0086***
	(0.0009)	(0.0001)	(0.0004)
Constant	3.0912	5.3962***	1.0611
	(2.1416)	(0.1714)	(0.9135)
控制变量	是	是	是
固定效应	是	是	是
Observations	1995	1995	1995
R-squared	0.524	0.732	0.662

变量	经济增长效应		产业结构效应		技术创新效应
变量	Ci	Ce	Ci	Ce	Ci	Ce
Df	-0.0027***	0.0003***	-0.0064***	0.0005***	0.0003	0.0005***
	(0.0006)	(0.0001)	(0.0013)	(0.0001)	(0.0013)	(0.0001)
Rgdp	-0.0531***	0.0022***
	(0.0146)	(0.0006)
Ins			-1.7816***	0.0073
			(0.3806)	(0.0155)
Tec					-0.4102***	0.0096***
					(0.0712)	(0.0029)
Constant	0.0299	-0.1010***	4.7539	0.5931***	14.8028***	0.5637***
	(0.8950)	(0.0224)	(3.3857)	(0.1376)	(2.6839)	(0.1091)
控制变量	是	是	是	是	是	是
固定效应	是	是	是	是	是	是
Observations	1710	1710	1995	1995	1995	1995
R-squared			0.102	0.153	0.108	0.158
AR(1)	0.0012	0.0211
AR(2)	0.2013	0.2315
Sargan	0.3984	0.4051

The impact of urban digital finance development on carbon emission performance in China and mechanism

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变量	经济发展水平异质性		金融发展水平异质性
变量	高经济发展水平Ci	低经济发展水平Ci	高金融发展水平Ci	低金融发展水平Ci
Df	-0.0031*	-0.0115***	-0.0025***	-0.0072***
	(0.0019)	(0.0016)	(0.0007)	(0.0028)
Constant	-8.9681*	16.6421***	3.6607**	19.8369***
	(5.1019)	(3.1656)	(1.8169)	(5.9704)
控制变量	是	是	是	是
固定效应	是	是	是	是
Observations	998	997	998	997
R-squared	0.045	0.256	0.137	0.113

变量	经济发展水平异质性		金融发展水平异质性
变量	高经济发展水平Ce	低经济发展水平Ce	高金融发展水平Ce	低金融发展水平Ce
Df	0.0006***	0.0003***	0.0006***	0.0003***
	(0.0001)	(0.0000)	(0.0001)	(0.0001)
Constant	0.7860***	0.3402***	0.6405***	0.3275***
	(0.2850)	(0.0719)	(0.2342)	(0.1120)
控制变量	是	是	是	是
固定效应	是	是	是	是
Observations	998	997	998	997
R-squared	0.147	0.180	0.192	0.137

变量	缩减样本：替换核心解释变量		缩减样本：剔除直辖市
变量	Ci	Ce	Ci	Ce
De	-0.0101**	0.0137***
	(0.0051)	(0.0008)
Df			-0.0033***	0.0004***
			(0.0012)	(0.0000)
Constant	15.3175***	-0.2980***	14.3709***	0.4859***
	(2.3751)	(0.1021)	(2.7230)	(0.0956)
控制变量	是	是	是	是
固定效应	是	是	是	是
Observations	1140	1140	1967	1967
R-squared	0.079	0.386	0.190	0.158

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