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Figure/Table detail
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
(1)
(2)
(3)
(4)
(5)
(6)
Degree
0.0467
***
(0.013)
0.0394
**
(0.016)
Between
0.0197
***
(0.007)
0.0159
**
(0.008)
Eigen
0.0039
***
(0.001)
0.0037
***
(0.001)
控制变量
否
是
否
是
否
是
Tab. 4
Robustness test results for replacing carbon emissions efficiency measurement methods
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. 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. 8
Test results of chain multiple mediation models
Tab. 9
Results of spatial heterogeneity test
Tab. 10
Results of type heterogeneity test