Research Article

If There Appears a Path to Improve Chinese Logistics Industry Efficiency in Low-Carbon Perspective? A Qualitative Comparative Analysis of Provincial Data

Table 3

Descriptive statistics of logistics industry efficiency explanatory variables from 2008 to 2017.

Variableā€‰2008200920102011201220132014201520162017

Management level (5A)Mean14.3724.6735.0742.8359.2776.0793.07108.00127.47151.90
Std dev16.7927.4338.1046.2564.7179.7595.38110.52130.39156.73
Min0.002.003.006.0010.0010.0012.0013.0014.0016.00
Max62.00101.00153.00191.00268.00325.00378.00435.00506.00591.00

Economic environment (GDP)Mean10894.1312163.5513758.4015378.6916957.2318558.6620089.4121656.0323240.7524920.95
Std dev8652.109582.5310748.8411832.3612868.6214001.8215147.1316367.1217595.7619234.03
Min961.531058.641220.621385.401555.141723.101881.622035.922198.792359.30
Max35696.5039159.0044014.7048416.2052364.8056815.8061226.8066122.2071083.7076445.81

Opening to the outside world (Open)Mean0.240.220.040.050.050.050.050.050.040.05
Std dev0.250.240.040.050.060.060.060.060.050.07
Min0.020.030.010.010.010.010.010.010.010.01
Max1.051.020.180.200.220.230.240.210.180.26

Regulations and rules (Regu)Mean316.96305.91285.43303.56298.55264.10221.74208.93138.14126.34
Std dev221.43210.97197.35203.11196.31181.22157.20251.7997.04119.37
Min41.1030.3022.2021.1026.6024.1026.2017.0012.3012.70
Max948.80780.80952.50880.60881.00739.10623.901416.20459.50519.70

Scientific and technological innovation (R&D)Mean89.38107.03147.36199.82240.04277.26308.88333.89365.18400.42
Std dev110.09127.79175.13241.20289.72333.30371.98409.73451.37509.41
Min0.631.444.755.787.818.959.256.507.797.48
Max410.96500.07719.96899.891080.311239.571376.541520.551676.271865.03