Study on the Technical Efficiency of Creative Human Capital in China by Three-Stage Data Envelopment Analysis Model

Table 4

Average efficiency values of creative human capital in different provinces during 2003–2010.

	First stage			Third stage
	TE	PTE	SE	TE	PTE	SE
Beijing	0.512	0.513	0.997	0.524	0.645	0.815
Tianjin	0.798	0.808	0.987	0.792	0.932	0.851
Hebei	1.000	1.000	1.000	0.966	0.998	0.968
Shanxi	1.000	1.000	1.000	0.804	0.990	0.812
Inner Mongolia	0.885	0.897	0.986	0.738	0.958	0.771
Liaoning	0.772	0.775	0.997	0.783	0.911	0.860
Jilin	0.732	0.738	0.991	0.723	0.937	0.773
Heilongjiang	0.753	0.761	0.990	0.755	0.887	0.852
Shanghai	0.670	0.674	0.993	0.668	0.829	0.808
jiangsu	0.891	0.941	0.947	0.943	0.952	0.990
Zhejiang	0.910	0.913	0.997	0.907	0.940	0.966
Anhui	0.993	0.994	0.998	0.988	0.997	0.991
Fujian	0.869	0.875	0.993	0.860	0.961	0.896
Jiangxi	0.988	0.990	0.999	0.954	0.990	0.964
Shandong	0.960	0.991	0.968	0.993	1.000	0.993
Henan	1.000	1.000	1.000	0.998	0.999	1.000
Hubei	0.862	0.889	0.970	0.895	0.913	0.980
Hunan	0.871	0.893	0.976	0.867	0.933	0.930
Guangdong	0.891	0.899	0.991	0.953	1.000	0.953
Guangxi	1.000	1.000	1.000	0.866	1.000	0.866
Hainan	0.918	0.963	0.954	0.832	1.000	0.832
Chongqing	0.851	0.859	0.990	0.840	0.913	0.920
Sichuan	0.882	0.887	0.995	0.879	0.920	0.956
Guizhou	1.000	1.000	1.000	0.774	0.966	0.803
Yunnan	0.818	0.827	0.989	0.788	0.928	0.851
Tibet	0.866	1.000	0.866	0.650	1.000	0.650
Shaanxi	0.784	0.788	0.995	0.786	0.853	0.921
Gansu	0.881	0.902	0.977	0.849	0.931	0.912
Qinghai	0.920	1.000	0.920	0.486	0.982	0.495
Ningxia	0.718	0.924	0.782	0.605	1.000	0.605
Xinjiang	0.892	0.922	0.967	0.696	0.971	0.718