Mathematical Problems in Engineering

Research Article

Competitiveness Evaluation of Chinese Dairy Industry Based on Accelerated Genetic Algorithm Projection Pursuit Model

Table 7

Projected values of dairy industry indicators of 31 provinces and cities in China based on spatial dimensions.


Index layer	Beijing	Tianjin	Hebei	Shaanxi	Inner Mongolia	Liaoning	Jilin	Heilongjiang	Shanghai	Jiangsu	Zhejiang	Anhui	Fujian	Jiangxi	Shandong	Henan	Hubei	Hunan	Guangdong	Guangxi	Hainan	Chongqing	Sichuan	Guizhou	Yunnan	Xizang	Shanaxi	Gansu	Qinghai	Ningxia	Xinjiang

Cow inventory (ten thousands) X₁	0.0038	0.0039	0.0524	0.0096	0.0689	0.0094	0.0084	0.0576	0.0016	0.0053	0.0015	0.0026	0.0012	0.0014	0.0338	0.0239	0.0017	0.0024	0.0014	0.0009	0.0000	0.0005	0.0049	0.0009	0.0046	0.0070	0.0145	0.0065	0.0064	0.0092	0.0604
Raw milk yield (ten thousand tons) X₂	0.0132	0.0112	0.0662	0.0122	0.0787	0.0228	0.0027	0.0434	0.0108	0.0269	0.0097	0.0176	0.0042	0.0059	0.0556	0.0393	0.0161	0.0064	0.0133	0.0059	0.0000	0.0032	0.0174	0.0013	0.0097	0.0001	0.0342	0.0049	0.0030	0.0105	0.0082
Total area of grassland (ten thousands mu) X₃	0.0001	0.0000	0.0020	0.0020	0.0345	0.0015	0.0025	0.0033	0.0000	0.0001	0.0014	0.0007	0.0009	0.0019	0.0007	0.0019	0.0028	0.0028	0.0014	0.0038	0.0004	0.0009	0.0089	0.0018	0.0067	0.0359	0.0023	0.0078	0.0159	0.0013	0.0251
Number of dairy enterprises X₄	0.0085	0.0116	0.0331	0.0146	0.0516	0.0170	0.0085	0.0509	0.0069	0.0239	0.0162	0.0100	0.0069	0.0062	0.0617	0.0331	0.0108	0.0116	0.0208	0.0108	0.0015	0.0031	0.0146	0.0023	0.0108	0.0000	0.0355	0.0146	0.0046	0.0139	0.0231
Household consumption of dairy products per capita (kg/person) X₅	0.0363	0.0200	0.0067	0.0093	0.0116	0.0123	0.0009	0.0028	0.0445	0.0190	0.0167	0.0216	0.0143	0.0088	0.0156	0.0075	0.0076	0.0002	0.0129	0.0045	0.0000	0.0196	0.0146	0.0023	0.0029	0.0330	0.0155	0.0079	0.0071	0.0114	0.0090
Milk per capita (kg/person) X₆	0.0081	0.0097	0.0111	0.0041	0.0389	0.0063	0.0011	0.0138	0.0056	0.0041	0.0021	0.0034	0.0013	0.0015	0.0069	0.0050	0.0033	0.0011	0.0014	0.0014	0.0000	0.0012	0.0025	0.0004	0.0024	0.0005	0.0111	0.0022	0.0065	0.0197	0.0044
Annual per capita disposable income (RMB) X₇	0.0406	0.0233	0.0064	0.0059	0.0108	0.0122	0.0061	0.0040	0.0448	0.0215	0.0306	0.0063	0.0176	0.0057	0.0137	0.0055	0.0073	0.0077	0.0217	0.0065	0.0063	0.0093	0.0050	0.0015	0.0046	0.0009	0.0054	0.0000	0.0021	0.0050	0.0025
Total profit (100 million RMB) X₈	0.0010	0.0022	0.0197	0.0029	0.0567	0.0097	0.0011	0.0407	0.0107	0.0053	0.0030	0.0047	0.0011	0.0032	0.0298	0.0118	0.0034	0.0041	0.0208	0.0035	0.0000	0.0008	0.0036	0.0005	0.0025	0.0006	0.0091	0.0014	0.0007	0.0035	0.0024
Industrial sales output value (100 million RMB) X₉	0.0117	0.0081	0.0305	0.0053	0.0639	0.0142	0.0032	0.0472	0.0174	0.0110	0.0062	0.0080	0.0019	0.0039	0.0353	0.0138	0.0065	0.0066	0.0196	0.0037	0.0000	0.0032	0.0064	0.0010	0.0038	0.0003	0.0173	0.0025	0.0010	0.0056	0.0043
Market share (%) X₁₀	0.0122	0.0082	0.0367	0.0082	0.0735	0.0163	0.0041	0.0531	0.0204	0.0122	0.0082	0.0082	0.0041	0.0041	0.0408	0.0163	0.0082	0.0082	0.0204	0.0041	0.0000	0.0041	0.0082	0.0000	0.0041	0.0000	0.0204	0.0041	0.0000	0.0041	0.0041
Number of loss-making enterprises X₁₁	0.0065	0.0109	0.0338	0.0185	0.0578	0.0196	0.0109	0.0589	0.0076	0.0284	0.0185	0.0131	0.0087	0.0076	0.0796	0.0447	0.0120	0.0142	0.0240	0.0131	0.0011	0.0022	0.0175	0.0022	0.0098	0.0000	0.0415	0.0153	0.0065	0.0131	0.0218
Number of bulls (head) X₁₂	0.0376	0.0174	0.0485	0.0109	0.0496	0.0112	0.0268	0.0368	0.0371	0.0090	0.0000	0.0097	0.0000	0.0057	0.0377	0.0623	0.0092	0.0040	0.0017	0.0216	0.0000	0.0001	0.0091	0.0018	0.0231	0.0000	0.0066	0.0015	0.0111	0.0126	0.0505
Industrial sales output value of feed enterprises (100 million RMB) X₁₃	0.0015	0.0013	0.0061	0.0013	0.0026	0.0158	0.0045	0.0017	0.0011	0.0071	0.0036	0.0042	0.0055	0.0077	0.0202	0.0105	0.0067	0.0102	0.0165	0.0073	0.0009	0.0020	0.0094	0.0006	0.0015	0.0020	0.0006	0.0000	0.0002	0.0010	0.0012
Mixed feed output (ten thousand tons) X₁₄	0.0031	0.0028	0.0175	0.0035	0.0086	0.0247	0.0110	0.0038	0.0017	0.0102	0.0069	0.0085	0.0127	0.0186	0.0418	0.0249	0.0153	0.0217	0.0331	0.0209	0.0029	0.0041	0.0188	0.0016	0.0041	0.0000	0.0043	0.0019	0.0001	0.0005	0.0036
Feed enterprise profit (100 million RMB yuan) X₁₅	0.0071	0.0038	0.0189	0.0009	0.0122	0.0452	0.0100	0.0046	0.0051	0.0234	0.0074	0.0100	0.0126	0.0230	0.0560	0.0509	0.0176	0.0234	0.0422	0.0172	0.0016	0.0054	0.0300	0.0011	0.0034	0.0000	0.0083	0.0012	0.0001	0.0006	0.0043
Annual mean relative humidity (%) X₁₆	0.0013	0.0066	0.0037	0.0023	0.0005	0.0019	0.0125	0.0023	0.0007	0.0007	0.0007	0.0004	0.0006	0.0006	0.0033	0.0066	0.0003	0.0005	0.0003	0.0002	0.0001	0.0003	0.0003	0.0002	0.0010	0.0000	0.0155	0.0023	0.0039	0.0008	0.0029
Annual average temperature (°C) X₁₇	0.0023	0.0022	0.0031	0.0012	0.0004	0.0005	0.0002	0.0000	0.0086	0.0060	0.0100	0.0065	0.0463	0.0194	0.0034	0.0048	0.0079	0.0137	0.0110	0.0151	0.0046	0.0156	0.0074	0.0033	0.0052	0.0008	0.0037	0.0006	0.0001	0.0010	0.0004
Annual extreme maximum temperature (°C) X₁₈	0.0012	0.0016	0.0002	0.0031	0.0050	0.0056	0.0063	0.0041	0.0011	0.0017	0.0005	0.0016	0.0008	0.0015	0.0011	0.0000	0.0017	0.0008	0.0020	0.0021	0.0023	0.0004	0.0029	0.0082	0.0116	0.0186	0.0004	0.0038	0.0088	0.0028	0.0020
Annual extreme minimum temperature (°C) X₁₉	0.0038	0.0036	0.0047	0.0026	0.0012	0.0005	0.0004	0.0000	0.0074	0.0062	0.0078	0.0061	0.0126	0.0089	0.0041	0.0057	0.0069	0.0087	0.0141	0.0121	0.0246	0.0121	0.0090	0.0077	0.0094	0.0044	0.0056	0.0019	0.0015	0.0021	0.0010
Annual sunshine hours (hours) X₂₀	0.0484	0.0429	0.0377	0.0511	0.0548	0.0508	0.0517	0.0396	0.0227	0.0315	0.0202	0.0275	0.0178	0.0310	0.0389	0.0289	0.0261	0.0242	0.0215	0.0201	0.0288	0.0000	0.0019	0.0056	0.0481	0.0675	0.0312	0.0503	0.0537	0.0585	0.0631
Comprehensive level	0.2484	0.1915	0.4392	0.1694	0.6818	0.2975	0.1731	0.4683	0.2561	0.2536	0.1712	0.1708	0.1710	0.1667	0.5803	0.3975	0.1712	0.1723	0.3003	0.1748	0.0752	0.0880	0.1925	0.0442	0.1694	0.1715	0.2828	0.1308	0.1333	0.1771	0.2945