Evolution in the Spatio-temporal Pattern on Animal Husbandry Green Development Competitiveness in China

doi:10.13304/j.nykjdb.2021.0432

Abstract

Abstract:

Green development competitiveness is an important basis to judge the quality of animal husbandry development. It is the realistic basis for improving the animal husbandry green development competitiveness to make clear the characteristics of spatio-temporal evolution. According to the connotation of green development， an evaluation index system was established. Entropy method and cluster analysis were used to measure and classify the green development competitiveness level of animal husbandry of 30 provinces（cities or regons） in China from 2009 to 2019， and its evolution characteristics were analyzed. The results showed as followed： from 2009 to 2012， the green development competitiveness level of animal husbandry decreased slightly， and increased steadily from 2013 to 2019， which were driven by resource conservation， environmental friendliness and product safety improvement； the provinces or regions with higher competitiveness were concentrated in the northern， and those with lower competitiveness in the southwest and southeast， while the competitiveness of the central provinces was growing faster； provinces or regions with higher competitiveness were mainly driven by product safety and resource conservation. The improvement of competitiveness in southwest provinces or regions were restricted by the low level of environmental friendliness and product safety， while low output efficiency restrictsed the improvement of competitiveness in southeast provinces or regions. The results provided scientific basis for improving the animal husbandry green development competitiveness according to local conditions.

Key words: green competitiveness, animal husbandry, evolution characteristics

摘要：

绿色发展竞争力是判断畜牧业高质量发展的重要依据，明晰其时空演变特征有助于认清规律、精准施策，推动畜牧业高质量发展。在明确绿色发展内涵的基础上，构建竞争力评价指标体系，运用熵值法与聚类分析法对2009—2019年中国30个省（直辖市、自治区）畜牧业绿色发展竞争力水平进行测算与分类，并对其演变特征进行分析。结果表明：2009—2012年中国畜牧业绿色发展竞争力小幅下降，2013—2019年平稳增长，由资源节约、环境友好和产品安全3类因素共同推动；北部省份竞争力较高，中部省份竞争力增长较快，西南与东南省份竞争力较低；产品安全和资源节约推动北部省份竞争力较高，环境友好和产品安全制约西南省份竞争力提高，产出高效制约东南省份竞争力提升。研究结果为因地制宜制定各区域畜牧业绿色发展竞争力提升方略提供科学依据。

关键词: 绿色竞争力, 畜牧业, 演变特征

CLC Number:

F326.3

Zhaohui ZHANG, Yifan JI, Zejun HE. Evolution in the Spatio-temporal Pattern on Animal Husbandry Green Development Competitiveness in China[J]. Journal of Agricultural Science and Technology, 2022, 24(9): 12-23.

张朝辉, 姬一帆, 何泽军. 中国省域畜牧业绿色发展竞争力时空演变特征[J]. 中国农业科技导报, 2022, 24(9): 12-23.

Figures/Tables 7

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地区 Region	2009	2012	2016	2019	均值 Mean	地区 Region	2009	2012	2016	2019	均值 Mean
北京 Beijing	0.601	0.542	0.607	0.493	0.549	河南 Henan	0.337	0.238	0.297	0.411	0.303
天津 Tianjin	0.537	0.563	0.661	0.538	0.553	湖北 Hubei	0.326	0.290	0.395	0.363	0.354
河北 Hebei	0.364	0.455	0.364	0.454	0.391	湖南 Hunan	0.341	0.283	0.307	0.376	0.319
山西 Shanxi	0.242	0.309	0.444	0.541	0.381	广东 Guangdong	0.363	0.369	0.341	0.352	0.347
内蒙古 Inner Mongolia	0.451	0.418	0.453	0.491	0.453	广西 Guangxi	0.282	0.263	0.311	0.331	0.287
辽宁 Liaoning	0.446	0.328	0.381	0.387	0.386	海南 Hainan	0.370	0.396	0.422	0.389	0.394
吉林 Jilin	0.387	0.443	0.384	0.383	0.400	重庆 Chongqing	0.250	0.223	0.354	0.475	0.326
黑龙江 Heilongjiang	0.392	0.458	0.406	0.421	0.419	四川 Sichuan	0.278	0.253	0.253	0.339	0.272
上海 Shanghai	0.387	0.332	0.423	0.431	0.395	贵州 Guizhou	0.351	0.235	0.212	0.261	0.267
江苏 Jiangsu	0.426	0.304	0.426	0.470	0.400	云南 Yunnan	0.348	0.294	0.372	0.307	0.312
浙江 Zhejiang	0.425	0.382	0.419	0.453	0.426	陕西 Shaanxi	0.341	0.317	0.416	0.410	0.350
安徽 Anhui	0.352	0.372	0.421	0.477	0.406	甘肃 Gansu	0.228	0.245	0.251	0.271	0.259
福建 Fujian	0.325	0.396	0.412	0.449	0.396	青海 Qinghai	0.300	0.317	0.412	0.284	0.345
江西 Jiangxi	0.304	0.299	0.323	0.358	0.321	宁夏 Ningxia	0.277	0.473	0.452	0.490	0.423
山东 Shandong	0.347	0.293	0.421	0.353	0.354	新疆 Xinjiang	0.464	0.495	0.481	0.486	0.486
全国平均 Average	0.389	0.367	0.415	0.425	0.396

地区 Region	2009	2012	2016	2019	均值 Mean	地区 Region	2009	2012	2016	2019	均值 Mean
北京 Beijing	0.601	0.542	0.607	0.493	0.549	河南 Henan	0.337	0.238	0.297	0.411	0.303
天津 Tianjin	0.537	0.563	0.661	0.538	0.553	湖北 Hubei	0.326	0.290	0.395	0.363	0.354
河北 Hebei	0.364	0.455	0.364	0.454	0.391	湖南 Hunan	0.341	0.283	0.307	0.376	0.319
山西 Shanxi	0.242	0.309	0.444	0.541	0.381	广东 Guangdong	0.363	0.369	0.341	0.352	0.347
内蒙古 Inner Mongolia	0.451	0.418	0.453	0.491	0.453	广西 Guangxi	0.282	0.263	0.311	0.331	0.287
辽宁 Liaoning	0.446	0.328	0.381	0.387	0.386	海南 Hainan	0.370	0.396	0.422	0.389	0.394
吉林 Jilin	0.387	0.443	0.384	0.383	0.400	重庆 Chongqing	0.250	0.223	0.354	0.475	0.326
黑龙江 Heilongjiang	0.392	0.458	0.406	0.421	0.419	四川 Sichuan	0.278	0.253	0.253	0.339	0.272
上海 Shanghai	0.387	0.332	0.423	0.431	0.395	贵州 Guizhou	0.351	0.235	0.212	0.261	0.267
江苏 Jiangsu	0.426	0.304	0.426	0.470	0.400	云南 Yunnan	0.348	0.294	0.372	0.307	0.312
浙江 Zhejiang	0.425	0.382	0.419	0.453	0.426	陕西 Shaanxi	0.341	0.317	0.416	0.410	0.350
安徽 Anhui	0.352	0.372	0.421	0.477	0.406	甘肃 Gansu	0.228	0.245	0.251	0.271	0.259
福建 Fujian	0.325	0.396	0.412	0.449	0.396	青海 Qinghai	0.300	0.317	0.412	0.284	0.345
江西 Jiangxi	0.304	0.299	0.323	0.358	0.321	宁夏 Ningxia	0.277	0.473	0.452	0.490	0.423
山东 Shandong	0.347	0.293	0.421	0.353	0.354	新疆 Xinjiang	0.464	0.495	0.481	0.486	0.486
全国平均 Average	0.389	0.367	0.415	0.425	0.396

地区 Region		资源节约 Saving resources			环境友好 Environment friendly			产品安全 Product safety			产出高效 Output efficiency
地区 Region		2009	2019	增长Growth	2009	2019	增长Growth	2009	2019	增长Growth	2009	2019	增长Growth
东南 Southeast	上海 Shanghai	0.529	0.573	0.044	0.510	0.553	0.043	0.392	0.433	0.040	0.032	0.081	0.049
	江苏 Jiangsu	0.496	0.579	0.083	0.768	0.745	-0.023	0.290	0.358	0.068	0.190	0.223	0.033
	浙江 Zhejiang	0.539	0.782	0.243	0.695	0.684	-0.011	0.292	0.243	-0.049	0.223	0.207	-0.016
	福建 Fujian	0.452	0.787	0.335	0.496	0.480	-0.016	0.254	0.328	0.074	0.094	0.256	0.162
	广东 Guangdong	0.512	0.675	0.162	0.408	0.439	0.031	0.286	0.220	-0.066	0.292	0.130	-0.162
	广西 Guangxi	0.360	0.316	-0.045	0.396	0.386	-0.010	0.191	0.340	0.149	0.238	0.256	0.018
	海南 Hainan	0.443	0.663	0.220	0.439	0.438	0.000	0.405	0.310	-0.095	0.106	0.157	0.050
	安徽 Anhui	0.458	0.916	0.458	0.574	0.603	0.029	0.197	0.201	0.005	0.276	0.382	0.106
	江西 Jiangxi	0.428	0.585	0.157	0.503	0.520	0.017	0.177	0.220	0.043	0.171	0.169	-0.002
东北 Northeast	黑龙江 Heilongjiang	0.280	0.599	0.319	0.370	0.357	-0.013	0.393	0.280	-0.113	0.561	0.605	0.044
	吉林 Jilin	0.438	0.516	0.079	0.455	0.387	-0.068	0.382	0.239	-0.143	0.591	0.563	-0.028
	辽宁 Liaoning	0.429	0.641	0.211	0.464	0.420	-0.044	0.419	0.210	-0.209	0.504	0.428	-0.076
	内蒙古 Inner Mongolia	0.423	0.453	0.030	0.461	0.507	0.045	0.317	0.388	0.071	0.778	0.753	-0.025
中部 Midland	北京 Beijing	0.818	0.690	-0.128	0.819	0.839	0.020	0.510	0.382	-0.128	0.244	0.033	-0.211
	天津 Tianjin	0.587	0.611	0.024	0.509	0.492	-0.017	0.584	0.674	0.090	0.404	0.195	-0.208
	河北 Hebei	0.281	0.503	0.222	0.601	0.608	0.007	0.111	0.227	0.116	0.734	0.704	-0.030
	山东 Shandong	0.451	0.509	0.058	0.524	0.508	-0.016	0.225	0.225	0.000	0.258	0.243	-0.015
	山西 Shanxi	0.203	0.425	0.223	0.563	0.555	-0.008	0.085	0.640	0.554	0.220	0.444	0.224
	河南 Henan	0.145	0.400	0.255	0.428	0.489	0.061	0.248	0.313	0.064	0.661	0.546	-0.115
	湖北 Hubei	0.406	0.521	0.116	0.490	0.513	0.023	0.191	0.241	0.050	0.315	0.241	-0.074

地区 Region		资源节约 Saving resources			环境友好 Environment friendly			产品安全 Product safety			产出高效 Output efficiency
地区 Region		2009	2019	增长Growth	2009	2019	增长Growth	2009	2019	增长Growth	2009	2019	增长Growth
东南 Southeast	上海 Shanghai	0.529	0.573	0.044	0.510	0.553	0.043	0.392	0.433	0.040	0.032	0.081	0.049
	江苏 Jiangsu	0.496	0.579	0.083	0.768	0.745	-0.023	0.290	0.358	0.068	0.190	0.223	0.033
	浙江 Zhejiang	0.539	0.782	0.243	0.695	0.684	-0.011	0.292	0.243	-0.049	0.223	0.207	-0.016
	福建 Fujian	0.452	0.787	0.335	0.496	0.480	-0.016	0.254	0.328	0.074	0.094	0.256	0.162
	广东 Guangdong	0.512	0.675	0.162	0.408	0.439	0.031	0.286	0.220	-0.066	0.292	0.130	-0.162
	广西 Guangxi	0.360	0.316	-0.045	0.396	0.386	-0.010	0.191	0.340	0.149	0.238	0.256	0.018
	海南 Hainan	0.443	0.663	0.220	0.439	0.438	0.000	0.405	0.310	-0.095	0.106	0.157	0.050
	安徽 Anhui	0.458	0.916	0.458	0.574	0.603	0.029	0.197	0.201	0.005	0.276	0.382	0.106
	江西 Jiangxi	0.428	0.585	0.157	0.503	0.520	0.017	0.177	0.220	0.043	0.171	0.169	-0.002
东北 Northeast	黑龙江 Heilongjiang	0.280	0.599	0.319	0.370	0.357	-0.013	0.393	0.280	-0.113	0.561	0.605	0.044
	吉林 Jilin	0.438	0.516	0.079	0.455	0.387	-0.068	0.382	0.239	-0.143	0.591	0.563	-0.028
	辽宁 Liaoning	0.429	0.641	0.211	0.464	0.420	-0.044	0.419	0.210	-0.209	0.504	0.428	-0.076
	内蒙古 Inner Mongolia	0.423	0.453	0.030	0.461	0.507	0.045	0.317	0.388	0.071	0.778	0.753	-0.025
中部 Midland	北京 Beijing	0.818	0.690	-0.128	0.819	0.839	0.020	0.510	0.382	-0.128	0.244	0.033	-0.211
	天津 Tianjin	0.587	0.611	0.024	0.509	0.492	-0.017	0.584	0.674	0.090	0.404	0.195	-0.208
	河北 Hebei	0.281	0.503	0.222	0.601	0.608	0.007	0.111	0.227	0.116	0.734	0.704	-0.030
	山东 Shandong	0.451	0.509	0.058	0.524	0.508	-0.016	0.225	0.225	0.000	0.258	0.243	-0.015
	山西 Shanxi	0.203	0.425	0.223	0.563	0.555	-0.008	0.085	0.640	0.554	0.220	0.444	0.224
	河南 Henan	0.145	0.400	0.255	0.428	0.489	0.061	0.248	0.313	0.064	0.661	0.546	-0.115
	湖北 Hubei	0.406	0.521	0.116	0.490	0.513	0.023	0.191	0.241	0.050	0.315	0.241	-0.074

地区Region		资源节约 Saving resources			环境友好 Environment friendly			产品安全 Product safety			产出高效 Output efficiency
地区Region		2009	2019	增长Growth	2009	2019	增长Growth	2009	2019	增长Growth	2009	2019	增长Growth
	湖南 Hunan	0.409	0.725	0.316	0.359	0.348	-0.011	0.305	0.253	-0.052	0.314	0.253	-0.061
西南 Southwest	重庆 Chongqing	0.131	0.688	0.557	0.509	0.549	0.039	0.142	0.346	0.204	0.300	0.400	0.100
	四川 Sichuan	0.370	0.467	0.098	0.244	0.237	-0.007	0.154	0.335	0.181	0.490	0.323	-0.168
	贵州 Guizhou	0.122	0.213	0.091	0.405	0.417	0.012	0.411	0.208	-0.202	0.433	0.234	-0.199
	云南 Yunnan	0.423	0.273	-0.150	0.246	0.226	-0.020	0.324	0.328	0.004	0.445	0.410	-0.034
西北 Northwest	陕西 Shaanxi	0.186	0.483	0.297	0.549	0.562	0.013	0.228	0.262	0.034	0.517	0.453	-0.064
	甘肃 Gansu	0.369	0.430	0.062	0.368	0.353	-0.015	0.081	0.151	0.070	0.199	0.234	0.035
	青海 Qinghai	0.439	0.242	-0.197	0.346	0.334	-0.012	0.181	0.200	0.018	0.333	0.462	0.129
	宁夏 Ningxia	0.195	0.641	0.446	0.478	0.562	0.083	0.135	0.281	0.147	0.436	0.678	0.241
	新疆 Xinjiang	0.507	0.566	0.060	0.590	0.609	0.019	0.294	0.350	0.056	0.628	0.529	-0.099