Technical and Energy Efficiency of Urban Logistics in China: Empirical Analysis of 216 Prefecture-Level Cities
Table 1
Variable definition and descriptive statistics.
Variable
Definition
Mean
Std. dev.
Max
Min
Data source
lnE
Logarithm of energy consumption volume of sample cities (in 10,000 tons of standard coal)
4.899
0.927
7.156
1.358
1, 2
lnY
Logarithm of freight quantity of sample cities (in 10,000 tons)
−0.222
0.89
2.448
−3.455
3
lnK
Logarithm of capital stock of sample cities (in hundred billion Yuan)
6.336
0.99
9.461
2.499
3
lnL
Logarithm of the number of employees in logistics industry of sample cities (in 10,000 people)
0.097
1.063
4.203
−3.219
3
DIGIT
Logarithm of the number of subscribers to Internet services
58.032
78.168
804.12
0.286
3
ENV
Dummy variable, value of 1 if the government sets an explicit environmental target, 0 if not
0.444
0.497
1.000
0.000
4
GOV
Ratio of public finance expenditure to GDP
0.184
0.099
1.027
0.044
3
EDU
Logarithm of average number of years of education of residents
1.585
0.543
3.972
0.441
3,4
DEN
Logarithm of the ratio of road mileage to land area of a city
−0.045
0.57
0.974
−2.747
3
Note: data sources are (1) China Energy Statistical Yearbook, 2010–2018, (2) Province Statistical Yearbook, 2010–2018, (3) China City Statistical Yearbook, 2010–2018, and (4) Report on the Work of the Prefecture-Level Cities’ Government.
