Research on Dynamic Comprehensive Evaluation of Resource Allocation Efficiency of Technology Innovation in the Aerospace Industry

Table 7

The trend of changing speed of resource allocation efficiency in the aerospace industry.

Year	2008–2009	2009–2010	2010–2011	2011–2012	2012–2013	2013–2014	2014–2015	2015–2016
Beijing	0.9525	0.9796	1.0546	0.9794	0.9634	1.0741	0.9883	0.9360
Tianjin	1.0005	1.0027	0.9964	0.9999	1.0052	1.1091	1.0277	0.7552
Hebei	0.9897	1.0120	1.0208	0.9641	1.0102	1.0111	0.9820	1.0102
Liaoning	0.5779	1.1400	1.0753	0.8835	1.0336	1.0606	0.9731	0.8507
Heilongjiang	1.0277	0.9348	1.0596	0.9869	0.9406	1.1053	0.9208	1.0411
Shanghai	1.0479	0.9270	1.0407	0.9614	1.0001	1.0203	1.0106	0.9801
Jiangsu	0.8345	1.0570	1.1379	0.7729	1.0449	0.9846	1.0223	1.0160
Zhejiang	0.9747	0.9559	1.0399	0.9914	1.0043	1.0009	0.9997	1.0004
Anhui	1.0359	0.9100	0.9883	1.0764	0.9225	1.0410	0.9983	1.0021
Jiangxi	0.9486	1.0154	0.9832	1.0704	0.9049	1.0509	0.9420	0.9712
Shandong	0.9952	1.0094	0.9834	0.9845	1.0517	0.9858	0.9825	0.9947
Henan	0.9934	0.9402	0.8866	0.9817	1.0180	1.1114	0.9490	1.0245
Hubei	0.9316	1.0167	1.0196	0.9492	1.0255	1.0461	0.9541	0.9945
Hunan	1.1447	0.9488	1.0150	0.9917	1.0324	0.9983	0.9363	1.0499
Guangdong	1.1390	0.9677	1.0617	1.0164	0.9925	1.1697	0.6730	1.3037
Chongqing	1.0099	0.9900	1.0094	0.9964	1.0006	1.0022	0.9962	0.9995
Sichuan	0.6115	1.0334	1.0385	1.0549	1.0003	1.0538	0.8872	1.0699
Guizhou	0.8527	0.9092	1.0725	1.0491	0.9471	1.1399	0.8664	0.9926
Shaanxi	0.7748	0.9141	1.1290	0.8979	1.1307	0.8879	0.9959	1.0378
Gansu	0.9966	0.9946	1.0081	0.9922	0.9991	1.0024	0.9988	0.9985