Acta Geographica Sinica

Examining the impacts of network position on urban carbon emissions efficiency in China

SHENG Kerong, LI Xiaorui, SUN Wei, WANG Chuanyang

Acta Geographica Sinica, 2023, 78(11): 2864-2882. DOI: 10.11821/dlxb202311014

	PEVC	GPatent	UCEE	TFirm	UCEE	PEVC	GPatent	UCEE	TFirm	UCEE
	(1)	(2)	(3)	(4)	(5)	(6)	(7)	(8)	(9)	(10)
GPatent			0.0407^*** (0.012)					0.0399^*** (0.012)
TFirm					0.0048^*** (0.001)					0.0046^*** (0.001)
PEVC		0.0855^*** (0.010)	0.0109^*** (0.004)	0.8995^*** (0.081)	0.0097^** (0.004)		0.0824^*** (0.010)	0.0113^*** (0.004)	0.9120^*** (0.080)	0.0102^** (0.004)
Degree	0.1728^** (0.084)	0.2328^*** (0.029)	0.0261^* (0.015)	1.1128^*** (0.300)	0.0299^** (0.015)
Eigen						0.0326^*** (0.007)	0.0218^*** (0.003)	0.0031^** (0.001)	0.1213^*** (0.027)	0.0033^** (0.001)
控制变量	是	是	是	是	是	是	是	是	是	是

Tab. 8 Test results of chain multiple mediation models

Other figure/table from this article

Fig. 1 Mechanisms and characteristics of network position affecting urban carbon emissions efficiency
Tab. 1 Indicators for measuring the total factor carbon emissions efficiency of cities
Tab. 2 Control variables and their definition methods
Fig. 2 The coupling patterns of carbon emissions efficiency and degree centralities of Chinese cities in 2005 and 2020
Tab. 3 The baseline regression results of panel Tobit model
Tab. 4 Robustness test results for replacing carbon emissions efficiency measurement methods
Tab. 5 Robustness test results of spatial lag models
Tab. 6 Robustness test results of lagged variable models
Tab. 7 Robustness test results of two-step IV-Tobit models
Tab. 9 Results of spatial heterogeneity test
Tab. 10 Results of type heterogeneity test