Is the allocation of medical and health resources effective? Characteristic facts from regional heterogeneity in China

Yi, Ming; Peng, Jiachao; Zhang, Lian; Zhang, Yao

doi:10.1186/s12939-020-01201-8

International Journal for Equity in Health

Table 7 The PMHE results from2005 to 2017 at stage 1

From: Is the allocation of medical and health resources effective? Characteristic facts from regional heterogeneity in China

Region	Provinces	2005	2006	2007	2008	2009	2010	2011	2012	2013	2014	2015	2016	2017	mean
East	Beijing	0.690	0.637	0.563	0.601	0.542	0.604	0.838	1.000	1.000	1.123	0.850	1.853	1.034	0.872
	Fujian	1.146	1.006	1.144	1.420	0.815	0.955	0.847	0.864	0.656	0.823	0.824	0.980	0.981	0.959
	Guangdong	1.156	1.711	1.087	1.699	0.955	1.000	1.319	1.231	1.174	1.027	1.000	1.000	1.000	1.181
	Hainan	1.154	1.185	1.076	1.660	0.952	1.110	3.065	0.786	0.764	0.826	5.783	0.678	0.560	1.508
	Hebei	0.873	0.848	0.895	1.200	0.757	0.684	0.878	0.841	0.789	0.847	0.711	0.716	0.763	0.831
	Jiangsu	0.993	1.052	1.052	1.181	1.043	1.214	1.000	1.000	1.000	1.000	1.002	1.000	1.000	1.041
	Shandong	1.379	1.337	1.265	1.566	1.179	1.000	1.000	0.892	0.810	0.881	0.794	1.000	1.000	1.085
	Shanghai	6.492	1.208	1.266	1.048	0.967	1.000	1.000	1.000	1.056	1.000	1.036	1.000	1.000	1.467
	Tianjin	1.170	1.370	0.891	0.803	1.038	1.039	1.524	1.306	0.969	0.904	0.973	1.870	0.745	1.123
	Zhejiang	1.007	0.989	1.035	1.063	0.882	0.930	0.936	1.224	1.126	1.000	0.976	0.968	1.000	1.010
	mean	1.606	1.134	1.028	1.224	0.913	0.954	1.241	1.014	0.934	0.943	1.395	1.107	0.908	1.108
Central	Anhui	1.160	0.949	0.984	1.089	0.838	1.009	0.920	0.944	0.830	0.971	0.709	0.803	0.877	0.930
	Henan	0.887	0.773	0.752	0.803	0.582	0.596	0.708	0.745	0.682	0.697	0.698	0.752	0.712	0.722
	Hubei	0.953	0.751	0.755	0.704	0.615	0.746	0.852	0.825	0.701	0.690	0.634	0.632	0.626	0.730
	Hunan	1.439	0.957	0.889	0.852	0.718	0.797	0.784	0.724	0.665	0.647	0.618	0.609	0.598	0.792
	Jiangxi	1.086	1.201	1.032	1.351	0.941	1.232	1.120	0.997	0.917	0.974	0.953	0.855	0.974	1.049
	Shanxi	0.607	0.568	0.554	0.507	0.408	0.435	0.375	0.491	0.383	0.396	0.371	0.387	0.394	0.452
	mean	1.022	0.867	0.828	0.884	0.684	0.802	0.793	0.788	0.696	0.729	0.664	0.673	0.697	0.779
West	Gansu	0.786	0.742	0.646	0.730	0.633	0.545	0.530	0.536	0.624	0.587	0.597	0.548	0.545	0.619
	Guangxi	1.042	1.088	0.975	1.076	0.835	0.825	0.665	0.666	0.736	0.682	0.616	0.642	0.674	0.809
	Guizhou	1.142	1.057	0.978	0.978	0.754	0.794	0.738	0.664	0.556	0.507	0.476	0.462	0.448	0.735
	Inner Mongolia	0.612	0.607	0.569	0.545	0.388	0.408	0.420	0.405	0.368	0.338	0.316	0.321	0.312	0.431
	Ningxia	5.917	0.976	0.995	2.194	1.000	1.852	1.076	1.000	1.000	1.013	0.829	1.000	0.969	1.525
	Qinghai	0.971	0.947	0.931	0.950	0.618	0.629	0.554	0.568	0.523	0.520	0.509	0.501	0.453	0.667
	Shaanxi	0.751	0.667	0.607	0.578	0.481	0.524	0.513	0.568	0.503	0.475	0.456	0.436	0.442	0.539
	Sichuan	0.867	0.809	0.852	0.935	0.833	0.804	0.771	0.746	0.701	0.659	0.641	0.659	0.659	0.764
	Tibet	1.129	1.802	1.000	1.000	0.705	1.030	0.516	0.564	0.557	0.667	0.496	0.601	1.000	0.851
	Xinjiang	1.356	0.740	2.267	1.054	0.709	0.699	1.000	1.218	0.762	0.781	0.903	1.000	1.000	1.038
	Yunnan	1.069	0.967	1.085	1.115	0.977	0.973	1.007	0.844	0.694	0.677	0.628	0.625	0.606	0.867
	Chongqing	1.038	0.956	0.908	0.812	0.671	0.747	0.667	0.647	0.566	0.527	0.565	0.487	0.403	0.692
	mean	1.390	0.947	0.984	0.997	0.717	0.819	0.705	0.702	0.633	0.619	0.586	0.607	0.626	0.795
Northeast	Heilongjiang	0.783	0.589	0.527	0.528	0.435	0.459	0.473	0.496	0.528	0.503	0.492	0.518	0.472	0.523
	Jilin	0.747	0.680	0.599	0.501	0.384	0.372	0.389	0.462	0.613	0.459	0.519	0.545	0.534	0.523
	Liaoning	0.807	0.712	0.608	0.629	0.593	0.557	0.560	0.628	0.615	0.535	0.550	0.498	0.441	0.595
	mean	0.779	0.660	0.578	0.553	0.470	0.462	0.474	0.529	0.586	0.499	0.520	0.520	0.482	0.547
Overall China		1.329	0.964	0.929	1.006	0.750	0.825	0.872	0.803	0.738	0.733	0.856	0.772	0.717	0.869

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