The Impact of Digital Finance on the Commercial Circulation Industry Based on IoT and Big Data

Table 12

Calculation results of coordination degree between digital finance and trade circulation in different regions.

Province	Coordinated dispatching in 2011	2014 coordinated dispatching	Coordinated dispatching in 2017	Coordinated dispatching in 2020
Beijing	0.8568	0.9108	0.9388	0.9408
Tianjin	0.8255	0.8873	0.8979	0.8949
Hebei	0.8288	0.9042	0.9375	0.9378
Shanxi	0.8165	0.8893	0.9426	0.9494
Inner Mongolia	0.7394	0.9039	0.9227	0.9335
Liaoning	0.8831	0.9646	0.9586	0.9611
Jilin	0.9003	0.9384	0.9564	0.9824
Heilongjiang	0.8931	0.9759	0.9481	0.9714
Shanghai	0.8161	0.8842	0.8978	0.8969
Jiangsu	0.9989	0.9989	0.9981	0.9968
Zhejiang	0.9381	0.9631	0.9708	0.9626
Anhui	0.8228	0.9194	0.9213	0.9958
Fujian	0.9324	0.9629	0.9998	0.9939
Jiangxi	0.8859	0.9337	0.9822	0.9978
Shandong	0.9084	0.9707	0.9772	0.9815
Henan	0.8938	0.9468	0.9745	0.9832
Hubei	0.8849	0.9531	0.9729	0.9939
Hunan	0.8533	0.9323	0.9722	0.9792
Guangdong	0.9998	0.9962	0.9844	0.9716
Guangxi	0.8378	0.9088	0.9334	0.9561
Hainan	0.8224	0.8217	0.8645	0.8784
Chongqing	0.8051	0.8911	0.9569	0.9802
Sichuan	0.9719	0.9851	0.9973	0.9987
Guizhou	0.9417	0.9204	0.9654	0.9873
Yunnan	0.7879	0.8534	0.8939	0.9146
Shaanxi	0.9345	0.9479	0.9598	0.9791
Gansu	0.8671	0.9198	0.9412	0.9435
Qinghai	0.9316	0.9543	0.9425	0.9667
Ningxia	0.7588	0.8927	0.8895	0.9162
Xinjiang	0.7145	0.7808	0.8176	0.8501