High-Quality Development of Science and Technology Finance and Logistics Industry in the Yangtze River Economic Belt: Coupling Analysis Based on Deep Learning Model

Table 5

Coupling and coordination degree of high-quality development of science and technology finance and logistics industry in 11 provinces (cities) from 2009 to 2020.

Provinces and cities	2009	2010	2011	2012	2013	2014	2015	2016	2017	2018	2019	2020	Mean rank
Jiangsu	0.7414	0.8063	0.8176	0.8225	0.8165	0.7949	0.7852	0.7874	0.7925	0.7398	0.7582	0.7649	1
Shanghai	0.8549	0.8115	0.7778	0.7613	0.7358	0.7077	0.7003	0.7235	0.7158	0.7036	0.689 0	0.6805	2
Zhejiang	0.7 001	0.7497	0.7294	0.7093	0.7198	0.7129	0.7244	0.734 0	0.7281	0.745	0.7638	0.7766	3
Sichuan	0.5382	0.5319	0.5315	0.5313	0.5327	0.5583	0.5465	0.5445	0.5301	0.5506	0.5384	0.5501	4
Anhui	0.4985	0.5063	0.5126	0.5153	0.5254	0.5295	0.5367	0.5744	0.5781	0.5344	0.5429	0.543 0	5
Hubei	0.4777	0.4777	0.4667	0.4819	0.5125	0.5289	0.5511	0.5548	0.5426	0.5063	0.5058	0.509 0	6
Hunan	0.4674	0.4573	0.468 0	0.4546	0.4541	0.4543	0.4444	0.4325	0.4473	0.4764	0.494	0.4795	7
Jiangxi	0.3911	0.3866	0.3808	0.3694	0.3835	0.3969	0.3932	0.4051	0.4374	0.4604	0.4819	0.4521	8
Chongqing	0.4238	0.4296	0.4044	0.3931	0.4152	0.4338	0.4068	0.4111	0.3834	0.3708	0.3947	0.4298	9
Yunnan	0.3636	0.3365	0.3292	0.3346	0.3484	0.359 0	0.3536	0.356 0	0.3494	0.3174	0.3433	0.3647	1 0
Guizhou	0.2758	0.2532	0.2728	0.2569	0.2904	0.2968	0.2971	0.303 0	0.325 0	0.3229	0.3515	0.3516	1 1