Evaluation of e-commerce location and entry to China – implications on shipping and trade

Journal of Shipping and Trade

Table 2 Basic conditions of retail trade (purchases, sales, and stock values)

Province	Preference vectors for the criteria
Province	Number of corporate enterprises of retail trade (Unit)	Sales value (Yuan)	Purchase value (Yuan)	Stock Value (Yuan)
Beijing	0.020	0.063	0.069	0.057
Tianjin	0.012	0.025	0.023	0.015
Hebei	0.026	0.026	0.027	0.028
Shanxi	0.021	0.000	0.016	0.022
Inner Mongolia	0.014	0.014	0.013	0.012
Liaoning	0.025	0.027	0.026	0.025
Jilin	0.018	0.016	0.015	0.013
Heilongjiang	0.013	0.014	0.013	0.013
Shanghai	0.019	0.057	0.053	0.086
Jiangsu	0.087	0.093	0.092	0.092
Zhejiang	0.057	0.066	0.064	0.069
Anhui	0.047	0.033	0.033	0.031
Fujian	0.057	0.038	0.036	0.030
Jiangxi	0.024	0.016	0.016	0.034
Shandong	0.088	0.084	0.087	0.062
Henan	0.080	0.046	0.045	0.038
Hubei	0.052	0.060	0.062	0.058
Hunan	0.048	0.037	0.036	0.047
Guangdong	0.086	0.101	0.095	0.105
Guangxi	0.020	0.014	0.014	0.019
Hainan	0.002	0.004	0.004	0.005
Chongqing	0.035	0.031	0.029	0.021
Sichuan	0.046	0.047	0.048	0.035
Guizhou	0.021	0.014	0.013	0.013
Yunnan	0.023	0.020	0.020	0.018
Shaanxi	0.034	0.028	0.028	0.027
Gansu	0.011	0.010	0.010	0.008
Qinghai	0.002	0.002	0.002	0.002
Tibet	0.001	0.001	0.001	0.001
Ningxia	0.003	0.003	0.003	0.003
Xinjiang	0.009	0.008	0.008	0.011

Note: In parenthesis, the units are for the initial values of data processed in pair-wise comparison
Entries in boldface are largest values to identify highest performing regions