[Retracted] Research on the Measurement, Evolution, and Driving Factors of Green Innovation Efficiency in Yangtze River Economic Belt: A Super-SBM and Spatial Durbin Model

Table 4

Green innovation efficiency of YREB in 2008–2017.

Region	Year
	2008	2009	2010	2011	2012	2013	2014	2015	2016	2017
Jiangsu	1.032	1.053	1.047	1.092	1.085	1.066	1.023	1.026	1.024	1.031
Shanghai	1.042	1.035	1.037	1.032	1.013	1.021	1.032	1.027	1.034	1.089
Zhejiang	0.765	0.763	0.768	0.827	0.845	0.976	0.853	0.812	0.743	0.751
Anhui	0.652	0.654	0.667	0.706	0.71	0.733	0.724	0.697	0.681	0.678
Jiangxi	0.622	0.623	0.631	0.673	0.668	0.677	0.682	0.653	0.646	0.643
Hubei	0.649	0.661	0.667	0.711	0.733	0.742	0.744	0.725	0.711	0.698
Hunan	0.68	0.671	0.68	0.731	0.745	0.947	1.012	0.98	1.092	1.001
Chongqing	0.625	0.63	0.639	0.688	0.705	0.698	0.707	0.715	0.689	0.691
Sichuan	0.625	0.633	0.643	0.707	0.722	0.703	0.702	0.686	0.664	0.653
Guizhou	0.596	0.591	0.59	0.635	0.632	0.636	0.634	0.638	0.645	0.63
Yunnan	0.619	0.601	0.602	0.628	0.631	0.632	0.636	0.63	0.615	0.613
Average	0.719	0.720	0.725	0.766	0.772	0.803	0.795	0.781	0.777	0.771