Acta Agriculturae Zhejiangensis ›› 2021, Vol. 33 ›› Issue (1): 150-160.DOI: 10.3969/j.issn.1004-1524.2021.01.18
• Agricultural Economy and Development • Previous Articles Next Articles
ZHANG Faming(
), DING Feng*(
), WANG Ping
Received:2020-07-07
Online:2021-01-25
Published:2021-01-25
Contact:
DING Feng
CLC Number:
ZHANG Faming, DING Feng, WANG Ping. Evaluation of high-quality agricultural development level in major grain producing areas in China and its spatial and temporal evolution[J]. Acta Agriculturae Zhejiangensis, 2021, 33(1): 150-160.
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URL: http://www.zjnyxb.cn/EN/10.3969/j.issn.1004-1524.2021.01.18
| 准则 Guideline | 指标 Index | 指标内涵 Index connotation | 单位 Unit | 指标方向 Index direction | ||
|---|---|---|---|---|---|---|
| 农业经济发展水平 Level of agricultural economic development | 粮食产量 Grain output | 粮食总产量/年末常住人口 Total grain output/year-end resident population | kg·人-1 kg·person-1 | + | ||
| 劳动生产率 Labor productivity | 农林牧渔业增加值/第一产业从业人员 Added value of agriculture, forestry, animal husbandry and fishery/employees of primary industry | 元·人-1 Yuan·person-1 | + | |||
| 土地产出率 Earth give rate | 农业增加值/耕地面积 Added value of agriculture/cultivated area | 元·hm-2 Yuan·hm-2 | + | |||
| 固定资产投资情况 Investment in fixed assets | 农林牧渔业全社会固定资产投资/年末农村常住人口 Fixed assets investment of agriculture, forestry, animal husbandry and fishery/year-end rural resident population | 元·人-1 Yuan·person-1 | + | |||
| 复种指数 Multiple crop index | (农作物播种面积/耕地面积)×100 (Crop sown area/cultivated area)×100 | % | + | |||
| 财政支出水平 Financial expenditure level | 地方财政农林水事务支出/年末农村常住人口 Local fiscal expenditure on agriculture, forestry and water conservancy/year-end rural resident population | 元·人-1 Yuan·person-1 | + | |||
| 农业结构协调水平 Level of agricultural structure coordination | 产业融合水平 Level of industrial integration | 农林牧渔服务业产值/农林牧渔业总产值×100 Output value of agriculture, forestry, animal husbandry and fishery service/total output value of agriculture×100 | % | + | ||
| 乡村非农就业占比 Proportion of rural non- agricultural employment | (1-第一产业从业人员数)/乡村劳动力总数×100 (1-Number of primary industry employees)/total rural labor force×100 | % | + | |||
| 产业结构调整指数 Industrial structure adjustment index | (1-农业总产值/农林牧渔业总产值)×100 (1-Gross output value of agriculture/gross output value of agriculture, forestry, animal husbandry and fishery)×100 | % | + | |||
| 多元化水平 Optimal diversification | (1-粮食作物播种面积/农作物播种面积) ×100 (1-Grain sown area/crop sown area) ×100 | % | + | |||
| 农业绿色发展水平 Level of agricultural green development | 农药使用强度 Intensity of pesticide application | 农药总使用量/播种面积 Total pesticide usage/sown area | kg·hm-2 | - | ||
| 化肥施用强度 Intensity of fertilizer application | 化肥总施用量/播种面积 Total fertilizer application/sown area | kg·hm-2 | - | |||
| 森林覆盖率 Forest coverage | 森林面积/土地总面积×100 Forest area/total land area×100 | % | + | |||
| 农业耗水 Water consumption of agriculture | 农林牧渔业耗水总量/农林牧渔业增加值 Total water consumption of agriculture, forestry, animal husbandry and fishery/added value of agriculture, forestry, animal husbandry and fishery | m3·万元-1 m3·10-4 Yuan | - | |||
| 森林病虫害防治率 Forest pest control rate | (病虫害防治森林面积/发生病虫害森林面积)×100 (Pest control forest area/area of forest where pests and diseases occur)×100 | % | + | |||
| 农业开放创新水平 Level of agricultural openness and innovation | 实际利用外资情况 Actual utilization of foreign capital | 农林牧渔业实际利用投资/农林牧渔业从业人员 Investment in actual utilization of agriculture, forestry, animal husbandry and fishery/personnel engaged in agriculture, forestry, animal husbandry and fishery | 元·人-1 Yuan·person-1 | + | ||
| 机械化水平 Mechanization level | 机械总动力/耕地面积 Total mechanical power/cultivated area | kW· hm-2 | + | |||
| 准则 Guideline | 指标 Index | 指标内涵 Index connotation | 单位 Unit | 指标方向 Index direction | ||
| 水利化水平 Water conservancy level | 有效灌溉面积/耕地面积×100 Effective irrigated area/cultivated area×100 | % | + | |||
| 电气化水平 Electrification level | 农村用电量/年末农村常住人口 Rural electricity consumption/year-end rural resident population | kW·h·人-1 kW·h·person-1 | + | |||
| 农村社会发展水平 Level of social development in rural area | 恩格尔系数 Engel coefficient | (食物消费支出额/总消费支出总额)×100 Food expenditure/total consumption expenditure×100 | % | - | ||
| 居民可支配收入 Households disposable income | 农村居民可支配收入 Disposable income of rural households | 元·人-1 Yuan·person-1 | + | |||
| 城乡收入比 Urban-rural income ratio | 城镇居民人均可支配收入/农村居民人均可支配收入 Per capita disposable income of urban residents/per capita disposable income of rural residents | - | - | |||
| 城镇化率 Urbanization rate | (城镇人口/年末常住人口)×100 Urban population/year-end resident population×100 | % | + | |||
| 农村人均居住面积 Rural per capita living area | 农村住房面积/年末农村常住人口 Rural housing area/year-end rural resident population | m2·人-1 m2·person-1 | + | |||
| 农村每万人医疗机构 床位数 Number of beds per 10 000 people in rural area | 农村医疗机构床位数/年末农村常住人口×10 000 Number of beds in rural medical institutions/year-end rural resident population×10 000 | 张·万人-1 Piece·10-4 person | + | |||
Table 1 Evaluation index system of high-quality agricultural development level in China’s major grain-producing areas
| 准则 Guideline | 指标 Index | 指标内涵 Index connotation | 单位 Unit | 指标方向 Index direction | ||
|---|---|---|---|---|---|---|
| 农业经济发展水平 Level of agricultural economic development | 粮食产量 Grain output | 粮食总产量/年末常住人口 Total grain output/year-end resident population | kg·人-1 kg·person-1 | + | ||
| 劳动生产率 Labor productivity | 农林牧渔业增加值/第一产业从业人员 Added value of agriculture, forestry, animal husbandry and fishery/employees of primary industry | 元·人-1 Yuan·person-1 | + | |||
| 土地产出率 Earth give rate | 农业增加值/耕地面积 Added value of agriculture/cultivated area | 元·hm-2 Yuan·hm-2 | + | |||
| 固定资产投资情况 Investment in fixed assets | 农林牧渔业全社会固定资产投资/年末农村常住人口 Fixed assets investment of agriculture, forestry, animal husbandry and fishery/year-end rural resident population | 元·人-1 Yuan·person-1 | + | |||
| 复种指数 Multiple crop index | (农作物播种面积/耕地面积)×100 (Crop sown area/cultivated area)×100 | % | + | |||
| 财政支出水平 Financial expenditure level | 地方财政农林水事务支出/年末农村常住人口 Local fiscal expenditure on agriculture, forestry and water conservancy/year-end rural resident population | 元·人-1 Yuan·person-1 | + | |||
| 农业结构协调水平 Level of agricultural structure coordination | 产业融合水平 Level of industrial integration | 农林牧渔服务业产值/农林牧渔业总产值×100 Output value of agriculture, forestry, animal husbandry and fishery service/total output value of agriculture×100 | % | + | ||
| 乡村非农就业占比 Proportion of rural non- agricultural employment | (1-第一产业从业人员数)/乡村劳动力总数×100 (1-Number of primary industry employees)/total rural labor force×100 | % | + | |||
| 产业结构调整指数 Industrial structure adjustment index | (1-农业总产值/农林牧渔业总产值)×100 (1-Gross output value of agriculture/gross output value of agriculture, forestry, animal husbandry and fishery)×100 | % | + | |||
| 多元化水平 Optimal diversification | (1-粮食作物播种面积/农作物播种面积) ×100 (1-Grain sown area/crop sown area) ×100 | % | + | |||
| 农业绿色发展水平 Level of agricultural green development | 农药使用强度 Intensity of pesticide application | 农药总使用量/播种面积 Total pesticide usage/sown area | kg·hm-2 | - | ||
| 化肥施用强度 Intensity of fertilizer application | 化肥总施用量/播种面积 Total fertilizer application/sown area | kg·hm-2 | - | |||
| 森林覆盖率 Forest coverage | 森林面积/土地总面积×100 Forest area/total land area×100 | % | + | |||
| 农业耗水 Water consumption of agriculture | 农林牧渔业耗水总量/农林牧渔业增加值 Total water consumption of agriculture, forestry, animal husbandry and fishery/added value of agriculture, forestry, animal husbandry and fishery | m3·万元-1 m3·10-4 Yuan | - | |||
| 森林病虫害防治率 Forest pest control rate | (病虫害防治森林面积/发生病虫害森林面积)×100 (Pest control forest area/area of forest where pests and diseases occur)×100 | % | + | |||
| 农业开放创新水平 Level of agricultural openness and innovation | 实际利用外资情况 Actual utilization of foreign capital | 农林牧渔业实际利用投资/农林牧渔业从业人员 Investment in actual utilization of agriculture, forestry, animal husbandry and fishery/personnel engaged in agriculture, forestry, animal husbandry and fishery | 元·人-1 Yuan·person-1 | + | ||
| 机械化水平 Mechanization level | 机械总动力/耕地面积 Total mechanical power/cultivated area | kW· hm-2 | + | |||
| 准则 Guideline | 指标 Index | 指标内涵 Index connotation | 单位 Unit | 指标方向 Index direction | ||
| 水利化水平 Water conservancy level | 有效灌溉面积/耕地面积×100 Effective irrigated area/cultivated area×100 | % | + | |||
| 电气化水平 Electrification level | 农村用电量/年末农村常住人口 Rural electricity consumption/year-end rural resident population | kW·h·人-1 kW·h·person-1 | + | |||
| 农村社会发展水平 Level of social development in rural area | 恩格尔系数 Engel coefficient | (食物消费支出额/总消费支出总额)×100 Food expenditure/total consumption expenditure×100 | % | - | ||
| 居民可支配收入 Households disposable income | 农村居民可支配收入 Disposable income of rural households | 元·人-1 Yuan·person-1 | + | |||
| 城乡收入比 Urban-rural income ratio | 城镇居民人均可支配收入/农村居民人均可支配收入 Per capita disposable income of urban residents/per capita disposable income of rural residents | - | - | |||
| 城镇化率 Urbanization rate | (城镇人口/年末常住人口)×100 Urban population/year-end resident population×100 | % | + | |||
| 农村人均居住面积 Rural per capita living area | 农村住房面积/年末农村常住人口 Rural housing area/year-end rural resident population | m2·人-1 m2·person-1 | + | |||
| 农村每万人医疗机构 床位数 Number of beds per 10 000 people in rural area | 农村医疗机构床位数/年末农村常住人口×10 000 Number of beds in rural medical institutions/year-end rural resident population×10 000 | 张·万人-1 Piece·10-4 person | + | |||
| 类型 Type | 划分标准 Determining criterion | 表示 Representation |
|---|---|---|
| 高质量发展低水平 Low level of high-quality development | 小于平均值的0.8倍 Less than 0.8 times the average | L |
| 高质量发展中低水平 Low and middle level of high-quality development | 大于或等于平均值的0.8倍但小于平均值 Greater than or equal to 0.8 times the average but less than the average | M-L |
| 高质量发展中高水平 Middle and high level of high-quality development | 大于或等于平均值但小于平均值的1.2倍 Greater than or equal to the average but less than 1.2 times the average | M-H |
| 高质量发展高水平 High level of high-quality development | 大于或等于平均值的1.2倍 Greater than or equal to 1.2 times the average | H |
Table 2 Classification of high-quality agricultural development level
| 类型 Type | 划分标准 Determining criterion | 表示 Representation |
|---|---|---|
| 高质量发展低水平 Low level of high-quality development | 小于平均值的0.8倍 Less than 0.8 times the average | L |
| 高质量发展中低水平 Low and middle level of high-quality development | 大于或等于平均值的0.8倍但小于平均值 Greater than or equal to 0.8 times the average but less than the average | M-L |
| 高质量发展中高水平 Middle and high level of high-quality development | 大于或等于平均值但小于平均值的1.2倍 Greater than or equal to the average but less than 1.2 times the average | M-H |
| 高质量发展高水平 High level of high-quality development | 大于或等于平均值的1.2倍 Greater than or equal to 1.2 times the average | H |
| 省(自治区) Province (Autonomous region) | 2000 | 2002 | 2004 | 2006 | 2008 | 2010 | 2012 | 2014 | 2016 | 2018 |
|---|---|---|---|---|---|---|---|---|---|---|
| 河北Hebei | 83.88(4) | 85.71(3) | 86.09(3) | 84.26(4) | 82.75(3) | 77.21(6) | 83.62(4) | 83.52(4) | 82.01(4) | 81.77(6) |
| 内蒙古 | 74.09(12) | 74.52(12) | 73.56(10) | 76.17(11) | 69.88(13) | 75.16(9) | 68.54(13) | 72.78(11) | 73.22(11) | 71.83(13) |
| Inner Mongolia | ||||||||||
| 辽宁Liaoning | 86.04(2) | 89.55(2) | 88.18(2) | 84.71(3) | 82.39(4) | 83.79(2) | 80.99(5) | 81.96(6) | 77.84(9) | 75.64(9) |
| 吉林Jilin | 76.13(9) | 73.74(13) | 71.78(13) | 75.73(12) | 71.74(12) | 76.30(8) | 72.08(11) | 71.66(12) | 72.29(12) | 72.72(12) |
| 黑龙江 | 72.96(13) | 75.01(11) | 73.14(11) | 74.96(13) | 73.48(11) | 76.38(7) | 71.03(12) | 70.71(13) | 70.34(13) | 72.87(11) |
| Heilongjiang | ||||||||||
| 江苏Jiangsu | 88.21(1) | 91.14(1) | 90.28(1) | 89.13(1) | 91.69(1) | 89.13(1) | 92.78(1) | 94.54(1) | 95.53(1) | 96.72(1) |
| 安徽Anhui | 75.05(10) | 78.22(7) | 77.18(9) | 77.87(7) | 76.33(7) | 72.87(10) | 80.40(6) | 79.05(8) | 79.68(7) | 79.55(7) |
| 江西Jiangxi | 79.31(5) | 82.10(5) | 80.58(5) | 82.40(5) | 81.15(5) | 78.22(5) | 84.23(3) | 83.04(5) | 81.92(5) | 84.33(4) |
| 山东Shandong | 85.37(3) | 82.55(4) | 83.05(4) | 86.36(2) | 84.97(2) | 78.26(4) | 84.87(2) | 84.90(3) | 84.33(3) | 85.22(3) |
| 河南Henan | 77.28(7) | 77.76(9) | 77.30(8) | 77.06(9) | 76.25(8) | 72.06(12) | 77.82(8) | 77.29(9) | 78.14(8) | 79.04(8) |
| 湖北Hubei | 78.65(6) | 77.02(10) | 73.14(12) | 76.92(10) | 74.90(9) | 72.69(11) | 77.38(9) | 81.32(7) | 81.84(6) | 82.67(5) |
| 湖南Hunan | 76.46(8) | 79.62(6) | 78.95(6) | 78.47(6) | 78.81(6) | 83.44(3) | 80.35(7) | 85.06(2) | 87.43(2) | 87.06(2) |
| 四川Sichuan | 74.61(11) | 77.99(8) | 77.44(7) | 77.08(8) | 74.57(10) | 71.70(13) | 76.11(10) | 73.84(10) | 73.47(10) | 73.51(10) |
Table 3 Comprehensive evaluation value and ranking of high-quality agricultural development level in China’s major grain-producing areas
| 省(自治区) Province (Autonomous region) | 2000 | 2002 | 2004 | 2006 | 2008 | 2010 | 2012 | 2014 | 2016 | 2018 |
|---|---|---|---|---|---|---|---|---|---|---|
| 河北Hebei | 83.88(4) | 85.71(3) | 86.09(3) | 84.26(4) | 82.75(3) | 77.21(6) | 83.62(4) | 83.52(4) | 82.01(4) | 81.77(6) |
| 内蒙古 | 74.09(12) | 74.52(12) | 73.56(10) | 76.17(11) | 69.88(13) | 75.16(9) | 68.54(13) | 72.78(11) | 73.22(11) | 71.83(13) |
| Inner Mongolia | ||||||||||
| 辽宁Liaoning | 86.04(2) | 89.55(2) | 88.18(2) | 84.71(3) | 82.39(4) | 83.79(2) | 80.99(5) | 81.96(6) | 77.84(9) | 75.64(9) |
| 吉林Jilin | 76.13(9) | 73.74(13) | 71.78(13) | 75.73(12) | 71.74(12) | 76.30(8) | 72.08(11) | 71.66(12) | 72.29(12) | 72.72(12) |
| 黑龙江 | 72.96(13) | 75.01(11) | 73.14(11) | 74.96(13) | 73.48(11) | 76.38(7) | 71.03(12) | 70.71(13) | 70.34(13) | 72.87(11) |
| Heilongjiang | ||||||||||
| 江苏Jiangsu | 88.21(1) | 91.14(1) | 90.28(1) | 89.13(1) | 91.69(1) | 89.13(1) | 92.78(1) | 94.54(1) | 95.53(1) | 96.72(1) |
| 安徽Anhui | 75.05(10) | 78.22(7) | 77.18(9) | 77.87(7) | 76.33(7) | 72.87(10) | 80.40(6) | 79.05(8) | 79.68(7) | 79.55(7) |
| 江西Jiangxi | 79.31(5) | 82.10(5) | 80.58(5) | 82.40(5) | 81.15(5) | 78.22(5) | 84.23(3) | 83.04(5) | 81.92(5) | 84.33(4) |
| 山东Shandong | 85.37(3) | 82.55(4) | 83.05(4) | 86.36(2) | 84.97(2) | 78.26(4) | 84.87(2) | 84.90(3) | 84.33(3) | 85.22(3) |
| 河南Henan | 77.28(7) | 77.76(9) | 77.30(8) | 77.06(9) | 76.25(8) | 72.06(12) | 77.82(8) | 77.29(9) | 78.14(8) | 79.04(8) |
| 湖北Hubei | 78.65(6) | 77.02(10) | 73.14(12) | 76.92(10) | 74.90(9) | 72.69(11) | 77.38(9) | 81.32(7) | 81.84(6) | 82.67(5) |
| 湖南Hunan | 76.46(8) | 79.62(6) | 78.95(6) | 78.47(6) | 78.81(6) | 83.44(3) | 80.35(7) | 85.06(2) | 87.43(2) | 87.06(2) |
| 四川Sichuan | 74.61(11) | 77.99(8) | 77.44(7) | 77.08(8) | 74.57(10) | 71.70(13) | 76.11(10) | 73.84(10) | 73.47(10) | 73.51(10) |
| 省Province (Autonomous region) | 2000 | 2006 | 2012 | 2018 |
|---|---|---|---|---|
| 河北Hebei | M-H | M-H | M-H | M-H |
| 内蒙古Inner Mongolia | M-L | M-L | M-L | M-L |
| 辽宁Liaoning | M-H | M-H | M-H | M-L |
| 吉林Jilin | M-L | M-L | M-L | M-L |
| 黑龙江Heilongjiang | M-L | M-L | M-L | M-L |
| 江苏Jiangsu | M-H | M-H | M-H | H |
| 安徽Anhui | M-L | M-L | M-H | M-L |
| 江西Jiangxi | M-H | M-H | M-H | M-H |
| 山东Shandong | M-H | M-H | M-H | M-H |
| 河南Henan | M-L | M-L | M-L | M-L |
| 湖北Hubei | M-L | M-L | M-L | M-H |
| 湖南Hunan | M-L | M-L | M-H | M-H |
| 四川Sichuan | M-L | M-L | M-L | M-L |
Table 4 Types of high-quality agricultural development levels in major grain-producing areas in 2000, 2006, 2012 and 2018 years
| 省Province (Autonomous region) | 2000 | 2006 | 2012 | 2018 |
|---|---|---|---|---|
| 河北Hebei | M-H | M-H | M-H | M-H |
| 内蒙古Inner Mongolia | M-L | M-L | M-L | M-L |
| 辽宁Liaoning | M-H | M-H | M-H | M-L |
| 吉林Jilin | M-L | M-L | M-L | M-L |
| 黑龙江Heilongjiang | M-L | M-L | M-L | M-L |
| 江苏Jiangsu | M-H | M-H | M-H | H |
| 安徽Anhui | M-L | M-L | M-H | M-L |
| 江西Jiangxi | M-H | M-H | M-H | M-H |
| 山东Shandong | M-H | M-H | M-H | M-H |
| 河南Henan | M-L | M-L | M-L | M-L |
| 湖北Hubei | M-L | M-L | M-L | M-H |
| 湖南Hunan | M-L | M-L | M-H | M-H |
| 四川Sichuan | M-L | M-L | M-L | M-L |
| 年份Year | Moran’s I | Z得分 Z score | P值 P value |
|---|---|---|---|
| 2000 | 0.026 9 | 0.900 9 | 0.367 6 |
| 2001 | -0.141 4 | -0.478 4 | 0.632 4 |
| 2002 | -0.044 2 | 0.324 9 | 0.745 3 |
| 2003 | 0.017 6 | 0.827 2 | 0.408 1 |
| 2004 | -0.012 4 | 0.581 4 | 0.561 0 |
| 2005 | 0.053 1 | 1.109 8 | 0.267 1 |
| 2006 | 0.052 5 | 1.113 6 | 0.265 4 |
| 2007 | 0.076 8 | 1.341 6 | 0.179 7 |
| 2008 | 0.033 8 | 0.985 5 | 0.324 4 |
| 2009 | 0.064 7 | 1.244 5 | 0.213 3 |
| 2010 | -0.179 5 | -0.812 2 | 0.416 7 |
| 2011 | 0.058 0 | 1.200 5 | 0.229 9 |
| 2012 | 0.165 7 | 2.090 5 | 0.036 6 |
| 2013 | 0.067 1 | 1.261 3 | 0.207 2 |
| 2014 | 0.145 3 | 1.920 0 | 0.054 9 |
| 2015 | 0.220 9 | 2.548 7 | 0.010 8 |
| 2016 | 0.194 5 | 2.359 7 | 0.018 3 |
| 2017 | 0.198 1 | 2.390 9 | 0.016 8 |
| 2018 | 0.208 7 | 2.477 5 | 0.013 2 |
Table 5 Global Moran index of the value of high-quality agricultural development in China’s major grain-producing areas
| 年份Year | Moran’s I | Z得分 Z score | P值 P value |
|---|---|---|---|
| 2000 | 0.026 9 | 0.900 9 | 0.367 6 |
| 2001 | -0.141 4 | -0.478 4 | 0.632 4 |
| 2002 | -0.044 2 | 0.324 9 | 0.745 3 |
| 2003 | 0.017 6 | 0.827 2 | 0.408 1 |
| 2004 | -0.012 4 | 0.581 4 | 0.561 0 |
| 2005 | 0.053 1 | 1.109 8 | 0.267 1 |
| 2006 | 0.052 5 | 1.113 6 | 0.265 4 |
| 2007 | 0.076 8 | 1.341 6 | 0.179 7 |
| 2008 | 0.033 8 | 0.985 5 | 0.324 4 |
| 2009 | 0.064 7 | 1.244 5 | 0.213 3 |
| 2010 | -0.179 5 | -0.812 2 | 0.416 7 |
| 2011 | 0.058 0 | 1.200 5 | 0.229 9 |
| 2012 | 0.165 7 | 2.090 5 | 0.036 6 |
| 2013 | 0.067 1 | 1.261 3 | 0.207 2 |
| 2014 | 0.145 3 | 1.920 0 | 0.054 9 |
| 2015 | 0.220 9 | 2.548 7 | 0.010 8 |
| 2016 | 0.194 5 | 2.359 7 | 0.018 3 |
| 2017 | 0.198 1 | 2.390 9 | 0.016 8 |
| 2018 | 0.208 7 | 2.477 5 | 0.013 2 |
| 年份 Year | H-H | H-L | L-H | L-L | 不显著Not significant |
|---|---|---|---|---|---|
| 2000 | 山东 Shandong | — | — | — | 黑龙江Heilongjiang、辽宁Liaoning、吉林Jilin、内蒙古Inner Mongolia、河北Hebei、河南Henan、江苏Jiangsu、安徽Anhui、湖北Hubei、四川Sichuan、湖南Hunan、江西Jiangxi |
| 2006 | 山东 Shandong | — | — | — | 黑龙江Heilongjiang、辽宁Liaoning、吉林Jilin、内蒙古Inner Mongolia、河北Hebei、河南Henan、江苏Jiangsu、安徽Anhui、湖北Hubei、四川Sichuan、湖南Hunan、江西Jiangxi |
| 2012 | 江苏 Jiangsu | — | — | — | 黑龙江Heilongjiang、辽宁Liaoning、吉林Jilin、内蒙古Inner Mongolia、河北Hebei、河南Henan、山东Shandong、安徽Anhui、湖北Hubei、四川Sichuan、湖南Hunan、江西Jiangxi |
| 2018 | 江苏 Jiangsu | — | — | — | 黑龙江Heilongjiang、辽宁Liaoning、吉林Jilin、内蒙古Inner Mongolia、河北Hebei、河南Henan、山东Shandong、安徽Anhui、湖北Hubei、四川Sichuan、湖南Hunan、江西Jiangxi |
Table 6 LISA cluster table of comprehensive evaluation value of high-quality agricultural development level in major grain-producing areas in China
| 年份 Year | H-H | H-L | L-H | L-L | 不显著Not significant |
|---|---|---|---|---|---|
| 2000 | 山东 Shandong | — | — | — | 黑龙江Heilongjiang、辽宁Liaoning、吉林Jilin、内蒙古Inner Mongolia、河北Hebei、河南Henan、江苏Jiangsu、安徽Anhui、湖北Hubei、四川Sichuan、湖南Hunan、江西Jiangxi |
| 2006 | 山东 Shandong | — | — | — | 黑龙江Heilongjiang、辽宁Liaoning、吉林Jilin、内蒙古Inner Mongolia、河北Hebei、河南Henan、江苏Jiangsu、安徽Anhui、湖北Hubei、四川Sichuan、湖南Hunan、江西Jiangxi |
| 2012 | 江苏 Jiangsu | — | — | — | 黑龙江Heilongjiang、辽宁Liaoning、吉林Jilin、内蒙古Inner Mongolia、河北Hebei、河南Henan、山东Shandong、安徽Anhui、湖北Hubei、四川Sichuan、湖南Hunan、江西Jiangxi |
| 2018 | 江苏 Jiangsu | — | — | — | 黑龙江Heilongjiang、辽宁Liaoning、吉林Jilin、内蒙古Inner Mongolia、河北Hebei、河南Henan、山东Shandong、安徽Anhui、湖北Hubei、四川Sichuan、湖南Hunan、江西Jiangxi |
| 分类Classification | 2000 | 2006 | 2012 | 2018 |
|---|---|---|---|---|
| 强冷点Strong cold spot | — | — | — | — |
| 冷点Cold spot | — | — | — | — |
| 弱冷点Weak cold spot | — | — | — | 黑龙江Heilongjiang、吉林Jilin |
| 不显著Not significant | 黑龙江Heilongjiang、吉林Jilin、辽宁Liaoning、内蒙古Inner Mongolia、河南Henan、安徽Anhui、湖北Hubei、湖南Hunan、江西Jiangxi、四川Sichuan | 黑龙江Heilongjiang、吉林Jilin、辽宁Liaoning、内蒙古Inner Mongolia、河南Henan、安徽Anhui、湖北Hubei、湖南Hunan、江西Jiangxi、四川Sichuan、河北Hebei | 黑龙江Heilongjiang、吉林Jilin、辽宁Liaoning、内蒙古Inner Mongolia、湖南Hunan、四川Sichuan、河北Hebei、山东Shandong | 辽宁Liaoning、内蒙古Inner Mongolia、四川Sichuan、河北Hebei、山东Shandong |
| 弱热点Weak hot spot | 河北Hebei、山东Shandong | 山东Shandong | — | 湖南Hunan |
| 热点Hot spot | 江苏Jiangsu | 江苏Jiangsu | 河南Henan、安徽Anhui、湖北Hubei、江西Jiangxi | 江苏Jiangsu、 江西Jiangxi |
| 强热点Strong hot spot | — | — | 江苏Jiangsu | 河南Henan、安徽Anhui、 湖北Hubei |
Table 7 Cold and hot spots of high-quality agricultural development in major grain-producing areas in 2000, 2006, 2012 and 2018 year
| 分类Classification | 2000 | 2006 | 2012 | 2018 |
|---|---|---|---|---|
| 强冷点Strong cold spot | — | — | — | — |
| 冷点Cold spot | — | — | — | — |
| 弱冷点Weak cold spot | — | — | — | 黑龙江Heilongjiang、吉林Jilin |
| 不显著Not significant | 黑龙江Heilongjiang、吉林Jilin、辽宁Liaoning、内蒙古Inner Mongolia、河南Henan、安徽Anhui、湖北Hubei、湖南Hunan、江西Jiangxi、四川Sichuan | 黑龙江Heilongjiang、吉林Jilin、辽宁Liaoning、内蒙古Inner Mongolia、河南Henan、安徽Anhui、湖北Hubei、湖南Hunan、江西Jiangxi、四川Sichuan、河北Hebei | 黑龙江Heilongjiang、吉林Jilin、辽宁Liaoning、内蒙古Inner Mongolia、湖南Hunan、四川Sichuan、河北Hebei、山东Shandong | 辽宁Liaoning、内蒙古Inner Mongolia、四川Sichuan、河北Hebei、山东Shandong |
| 弱热点Weak hot spot | 河北Hebei、山东Shandong | 山东Shandong | — | 湖南Hunan |
| 热点Hot spot | 江苏Jiangsu | 江苏Jiangsu | 河南Henan、安徽Anhui、湖北Hubei、江西Jiangxi | 江苏Jiangsu、 江西Jiangxi |
| 强热点Strong hot spot | — | — | 江苏Jiangsu | 河南Henan、安徽Anhui、 湖北Hubei |
| [1] | 钟钰. 向高质量发展阶段迈进的农业发展导向[J]. 中州学刊, 2018(5):40-44. |
| ZHONG Y. Agricultural development orientation towards high quality stage[J]. Academic Journal of Zhongzhou, 2018(5):40-44.(in Chinese with English abstract) | |
| [2] | 丁声俊. 站在新时代高度认识农业粮食高质量发展[J]. 价格理论与实践, 2018(1):5-9. |
| DING S J. A recognition for high-quality development of grain produce at the height of a new era[J]. Price: Theory & Practice, 2018(1):5-9.(in Chinese with English abstract) | |
| [3] | 寇建平. 新时期推动我国农业高质量发展的对策建议[J]. 农业科技管理, 2018,37(3):1-4. |
| KOU J P. Suggestions on promoting high quality development of Chinese agriculture in the new stage[J]. Management of Agricultural Science and Technology, 2018,37(3):1-4.(in Chinese) | |
| [4] | 辛岭, 安晓宁. 我国农业高质量发展评价体系构建与测度分析[J]. 经济纵横, 2019(5):109-118. |
| XIN L, AN X N. Construction and empirical analysis of agricultural high-quality development evaluation system in China[J]. Economic Review Journal, 2019(5):109-118.(in Chinese with English abstract) | |
| [5] | 谷洪波, 吴闯. 我国中部六省农业高质量发展评价研究[J]. 云南农业大学学报(社会科学), 2019,13(6):74-82. |
| GU H B, WU C. Evaluation research of high-quality development of agriculture in six provinces of central China[J]. Journal of Yunnan Agricultural University (Social Science), 2019,13(6):74-82.(in Chinese with English abstract) | |
| [6] | 李芳. 新疆农业高质量发展水平评价研究[J]. 时代经贸, 2019(26):92-93. |
| LI F. A study on the evaluation of high quality agricultural development level in Xinjiang[J]. Economic & Trade Update, 2019 (26):92-93. (in Chinese) | |
| [7] | 姚成胜, 胡宇, 黄琳. 粮食主产区农业现代化水平评价及其空间非均衡性演变[J]. 农业现代化研究, 2020,41(1):34-44. |
| YAO C S, HU Y, HUANG L. The evaluation of the agricultural modernization level in major grain producing areas and its spatial non-equilibrium evolution[J]. Research of Agricultural Modernization, 2020,41(1):34-44.(in Chinese with English abstract) | |
| [8] | 范红艳. 中原经济区居民国内出游力综合评价及时空演变[J]. 经济地理, 2015,35(1):195-201. |
| FAN H Y. Evolvement of temporal-spatial pattern of latent domestic emissive ness (LDE) in central plains economic region (CPER)[J]. Economic Geography, 2015,35(1):195-201.(in Chinese with English abstract) | |
| [9] | 高雁鹏, 袁家冬. 2003年以来东北地区人口城镇化水平的综合测度及格局演化[J]. 经济地理, 2016,36(12):44-50. |
| GAO Y P, YUAN J D. Assessment and pattern evolvement and comprehensive measures of population urbanization in northeast China since 2003[J]. Economic Geography, 2016,36(12):44-50.(in Chinese with English abstract) | |
| [10] |
文琦, 施琳娜, 马彩虹, 等. 黄土高原村域多维贫困空间异质性研究: 以宁夏彭阳县为例[J]. 地理学报, 2018,73(10):1850-1864.
DOI URL |
| WEN Q, SHI L N, MA C H, et al. Spatial heterogeneity of multidimensional poverty at the village level: Loess Plateau[J]. Acta Geographica Sinica, 2018,73(10):1850-1864.(in Chinese with English abstract) | |
| [11] | 傅聪颖, 赖昭豪, 郭熙. 基于熵权TOPSIS模型的区域资源环境承载力评价及障碍因素诊断[J]. 生态经济, 2020,36(1):198-204. |
| FU C Y, LAI Z H, GUO X. Evaluation of regional resource and environment carrying capacity based on the entropy-weight TOPSIS model and the obstacle factors diagnosis[J]. Ecological Economy, 2020,36(1):198-204.(in Chinese with English abstract) | |
| [12] | 程钰, 任建兰, 王亚平. 山东省区域发展水平空间分异特征及评估分类研究[J]. 世界地理研究, 2012,21(1):58-65. |
| CHENG Y, REN J L, WANG Y P. Study on spatial differential features and assessment and classification of Shandong Province[J]. World Regional Studies, 2012,21(1):58-65.(in Chinese with English abstract) | |
| [13] | 王林, 钟书华. 中国区域智慧专业化空间分布类型与时空格局演变[J]. 科技进步与对策, 2019,36(18):33-42. |
| WANG L, ZHONG S H. Spatial distribution types and spatial and temporal pattern evolution of regional smart specialization in China[J]. Science & Technology Progress and Policy, 2019,36(18):33-42.(in Chinese with English abstract) | |
| [14] | 常曦, 赖晓冰, 吴奇. 高技术企业投资的空间分布特征研究[J]. 经济与管理, 2019,33(4):70-77. |
| CHANG X, LAI X B, WU Q. Research on the spatial distribution characteristics of investment in high-tech enterprises[J]. Economy and Management, 2019,33(4):70-77.(in Chinese with English abstract) | |
| [15] | 敬博, 李同昇, 温伯清, 等. 基于地形因素的秦巴山区人口-经济空间格局及其影响机制研究[J]. 地理科学, 2020,40(5):793-803. |
| JING B, LI T S, WEN B Q, et al. Population-economy spatial pattern and impact mechanism of the Qinba Mountain area based on topographic factors[J]. Scientia Geographica Sinica, 2020,40(5):793-803.(in Chinese with English abstract) |
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