Analysis of the Spatial Characteristics and Influencing Factors of e-Commerce Industrial Chains from the Perspective of Embeddedness: Taking Xiong’an New Area in China as an Example
Table 3
Location entropy distribution of different types of e-commerce products in Xiong’an New Area.
Type of commodity
Xiong County
Rongcheng County
Anxin County
Packaging
1.33
0.39
0.32
Rubber plastic chemicals
1.51
0.02
0
Craft decorations
1.47
0.06
0.14
Toys
0.03
4.35
0.12
Shoe bag accessories
0.99
0.48
2.02
Clothing textiles
0.21
2.50
2.62
Household supplies
0.48
0.42
4.95
Machinery and equipment
0.68
1.75
1.36
Hardware tools
0.70
1.93
0.90
Automotive supplies
0.62
2.67
0
Food and beverages
0.45
1.06
4.96
Home building materials
0.80
0.95
1.33
Gardening supplies
0.51
0.38
4.92
Electrical electronics
1.52
0
0
Sports and fitness
0.38
1.13
4.22
Office supplies
0.51
3.01
0
Metal processing
0
0
8.43
Medical supplies
1.52
0
0
Pets supplies
0
4.51
0
The bold values are the highest location entropy value of each type of product, which means the highest regional specialization degree.
