Resources Science

LIU Yaobin, DENG Weifeng, LI Shuoshuo, WEI Guoen, LI Ruzi

Resources Science, 2024, 46(4): 744-760. DOI: 10.18402/resci.2024.04.07

	变量	符号	样本	均值	标准差	最小值	最大值	多重共线性	单位根
被解释变量	减污降碳水平	PCR	1188	0.330	0.436	0.006	2.103		-25.850***
	SO₂排放强度	SEI	1188	0.214	0.224	0.011	0.816		-15.002***
	CO₂排放强度	CEI	1188	1.263	0.549	0.581	2.577		-23.770***
机制变量	数字经济水平	Digec	1188	0.628	0.024	0.600	0.742		-3.822***
	产业结构高级化	Ind	1188	40.640	9.267	20.660	73.150		-9.097***
	绿色技术创新	GTI	1188	5.166	1.721	0.000	9.861		-16.930***
解释变量	数字产业集聚水平	lnGather	1188	2.430	1.174	0.000	4.710	2.850	-14.520***
控制变量	收入水平	lnpgdp	1188	1.694	0.492	0.542	3.040	3.220	-11.892***
	人口密度	poden	1188	3.441	0.563	2.044	4.744	1.100	-12.728***
	技术水平	rd	1188	0.350	0.262	0.035	1.996	1.460	-12.053***
	城镇化水平	urb	1188	0.348	0.236	0.047	1.686	1.500	-24.589***
	工业发展规模	indu	1188	6.920	0.988	4.127	9.722	2.670	-18.968***
	政府干预程度	gov	1188	0.160	0.081	0.054	1.456	1.740	-7.423***

Table 1 Descriptive statistics of variables

Other figure/table from this article

Figure 1 The impact and spatial spillover effects of digital industry agglomeration on pollution reduction and carbon emission reduction synergy
Figure 2 Digital industry investment network and net investment flow in the Yangtze River Economic Belt, 2010-2020
Figure 3 Spatial and temporal changes of pollution reduction and carbon emission reduction in the Yangtze River Economic Belt, 2010-2020
Table 2 Benchmark regression and mechanism test results
Table 3 Endogeneity test results
Table 4 Robustness test for benchmark regression results
Table 5 Spatial correlation test
Table 6 Spatial econometric model validation
Table 7 Partial differential estimation results of spatial spillover effects
Table 8 Robustness test for spatial econometric results
Figure 4 Spatial attenuation process of the impact of digital industry agglomeration and diffusion on urban pollution and carbon emission reduction levels