Analyzing the Effects of Cross-Border E-Commerce Industry Transfer Using Big Data

Table 2

The Chinese interprovincial cross-border e-commerce.

	2001	2004	2007	2010	2013	2016
Beijing	1.67	1.04	0.80	0.57	0.54	0.49
Tianjin	1.70	1.41	1.11	0.80	0.78	0.74
Hebei	2.20	1.93	1.96	1.52	1.47	1.35
Shanxi	4.09	4.02	2.95	2.14	2.12	1.83
Inner Mongolia	2.53	2.35	2.48	1.66	1.58	1.44
Liaoning	2.28	1.94	1.87	1.30	1.26	1.13
Jilin	2.07	1.85	1.65	1.12	1.06	0.96
Heilongjiang	1.90	1.65	1.46	1.20	1.22	1.08
Shanghai	1.21	1.07	0.91	0.73	0.69	0.65
Jiangsu	1.00	0.91	0.92	0.72	0.69	0.62
Zhejiang	1.09	0.92	0.90	0.70	0.68	0.61
Anhui	1.61	1.51	1.21	0.94	0.88	0.79
Fujian	0.88	0.78	0.94	0.76	0.73	0.67
Jiangxi	1.25	1.06	1.06	0.77	0.76	0.67
Shandong	1.33	1.08	1.28	0.99	0.96	0.89
Henan	1.54	1.43	1.38	1.05	1.01	0.93
Hubei	1.47	1.59	1.51	1.13	1.06	0.95
Hunan	1.10	1.22	1.40	1.07	1.02	0.93
Guangdong	0.98	0.84	0.79	0.64	0.62	0.58
Guangxi	1.30	1.18	1.22	0.93	0.91	0.83
Hainan	0.93	0.74	0.92	0.76	0.75	0.66
Chongqing	1.53	1.61	1.42	1.12	1.08	0.99
Sichuan	1.63	1.59	1.53	1.20	1.15	1.04
Guizhou	4.31	3.59	3.25	1.99	1.93	1.78
Yunnan	1.77	1.70	1.73	1.32	1.30	1.20
Shan’xi	1.64	1.65	1.44	1.01	0.98	0.88
Gansu	3.06	2.45	2.26	1.69	1.62	1.44
Qinghai	3.40	2.99	3.07	2.24	2.17	1.90
Ningxia	4.44	3.45	4.14	2.68	2.50	2.18
Xinjiang	2.44	2.25	2.11	1.69	1.76	1.52