Chinese Agricultural Science Bulletin ›› 2020, Vol. 36 ›› Issue (6): 140-148.doi: 10.11924/j.issn.1000-6850.casb18100079
Previous Articles Next Articles
Wang Bin1, Huang Shengyi1, Min Qingwen2(), Yang Wanquan3, Li Heyao2, Zhang Bitian2
Received:
2018-10-23
Revised:
2018-11-27
Online:
2020-02-25
Published:
2020-02-22
Contact:
Min Qingwen
E-mail:minqw@igsnrr.ac.cn
CLC Number:
Wang Bin, Huang Shengyi, Min Qingwen, Yang Wanquan, Li Heyao, Zhang Bitian. Production Efficiency and Its Influence Factors of Crop Planting Patterns in Chengdu Plain—A Case Study of Pidu District[J]. Chinese Agricultural Science Bulletin, 2020, 36(6): 140-148.
Add to citation manager EndNote|Ris|BibTeX
URL: https://www.casb.org.cn/EN/10.11924/j.issn.1000-6850.casb18100079
模式 | 样本量 | 产值/[万元/(hm2·a)] | 劳动力投入/[工/(hm2·a)] | 肥料投入/[工/(hm2·a)] | 其他资金投入/[工/(hm2·a)] |
---|---|---|---|---|---|
A1 | 16 | 11.99±5.08 | 331.17 | 6518.44 | 12940.09 |
A2 | 4 | 3.63±2.26 | 460.61 | 4927.50 | 6584.58 |
A3 | 27 | 7.41±3.51 | 709.87 | 4928.33 | 11409.23 |
A4 | 31 | 2.99±0.65 | 513.03 | 4262.90 | 7140.27 |
B1 | 7 | 17.15±9.18 | 668.65 | 5355.00 | 30855.34 |
B2 | 7 | 12.77±8.77 | 917.45 | 4870.71 | 16183.76 |
合计/平均 | 92 | 9.32 | 600.13 | 5143.81 | 14185.55 |
模式 | 样本量 | 产值/[万元/(hm2·a)] | 劳动力投入/[工/(hm2·a)] | 肥料投入/[工/(hm2·a)] | 其他资金投入/[工/(hm2·a)] |
---|---|---|---|---|---|
A1 | 16 | 11.99±5.08 | 331.17 | 6518.44 | 12940.09 |
A2 | 4 | 3.63±2.26 | 460.61 | 4927.50 | 6584.58 |
A3 | 27 | 7.41±3.51 | 709.87 | 4928.33 | 11409.23 |
A4 | 31 | 2.99±0.65 | 513.03 | 4262.90 | 7140.27 |
B1 | 7 | 17.15±9.18 | 668.65 | 5355.00 | 30855.34 |
B2 | 7 | 12.77±8.77 | 917.45 | 4870.71 | 16183.76 |
合计/平均 | 92 | 9.32 | 600.13 | 5143.81 | 14185.55 |
模式编号 | 指标 | |||||
---|---|---|---|---|---|---|
Y/[元/(户·a)] | X1/[hm2/(户·a)] | X2/[工/(户·a)] | X3/[元/(户·a)] | X4/[元/(户·a)] | ||
A1 | 均值 | 33062.50 | 0.26 | 107.31 | 1694.13 | 3812.12 |
标准差 | 19150.17 | 0.09 | 77.45 | 661.19 | 3387.54 | |
A2 | 均值 | 9487.50 | 0.23 | 94.75 | 1110.68 | 1914.33 |
标准差 | 8394.68 | 0.12 | 50.67 | 568.59 | 2513.56 | |
A3 | 均值 | 45931.85 | 0.60 | 331.22 | 3009.71 | 17522.59 |
标准差 | 114777.82 | 1.52 | 790.16 | 7707.70 | 69134.86 | |
A4 | 均值 | 7047.10 | 0.24 | 111.23 | 1040.88 | 1581.39 |
标准差 | 3371.48 | 0.13 | 117.07 | 577.09 | 1165.08 | |
B1 | 均值 | 150285.71 | 0.67 | 319.57 | 3815.40 | 35356.03 |
标准差 | 181021.84 | 0.65 | 173.43 | 4006.00 | 68040.74 | |
B2 | 均值 | 39666.67 | 0.28 | 218.67 | 1413.32 | 5264.46 |
标准差 | 44325.50 | 0.19 | 136.44 | 1130.70 | 8154.69 |
模式编号 | 指标 | |||||
---|---|---|---|---|---|---|
Y/[元/(户·a)] | X1/[hm2/(户·a)] | X2/[工/(户·a)] | X3/[元/(户·a)] | X4/[元/(户·a)] | ||
A1 | 均值 | 33062.50 | 0.26 | 107.31 | 1694.13 | 3812.12 |
标准差 | 19150.17 | 0.09 | 77.45 | 661.19 | 3387.54 | |
A2 | 均值 | 9487.50 | 0.23 | 94.75 | 1110.68 | 1914.33 |
标准差 | 8394.68 | 0.12 | 50.67 | 568.59 | 2513.56 | |
A3 | 均值 | 45931.85 | 0.60 | 331.22 | 3009.71 | 17522.59 |
标准差 | 114777.82 | 1.52 | 790.16 | 7707.70 | 69134.86 | |
A4 | 均值 | 7047.10 | 0.24 | 111.23 | 1040.88 | 1581.39 |
标准差 | 3371.48 | 0.13 | 117.07 | 577.09 | 1165.08 | |
B1 | 均值 | 150285.71 | 0.67 | 319.57 | 3815.40 | 35356.03 |
标准差 | 181021.84 | 0.65 | 173.43 | 4006.00 | 68040.74 | |
B2 | 均值 | 39666.67 | 0.28 | 218.67 | 1413.32 | 5264.46 |
标准差 | 44325.50 | 0.19 | 136.44 | 1130.70 | 8154.69 |
类别 | 变量 | 变量说明 | 变量统计特征 | 作用方向 |
---|---|---|---|---|
人力因素 | Z1 | 农户年龄 | mean=56.92;std=9.12 | - |
Z2 | 0=文盲;1=小学;2=初中;3=高中或中专 | P(0)=1.09%;P(1)=35.87%;P(2)=58.70%;P(3)=4.35% | + | |
Z3 | 0=女;1=男 | P(0)=15.22%;P(1)=84.78%; | + | |
Z4 | 农户经营农田年限 | mean=35.26;std=11.36 | + | |
管理因素 | Z5 | 农户一个轮作周期内的施肥次数 | mean=1.84;std=0.84 | + |
Z6 | 经营农田所投入劳动力 | mean=157.00;std=172.89 | + | |
资金因素 | Z7 | 农户对农业收入的依赖程度 | mean=22.30;std=24.63 | + |
Z8 | 兼职情况,0=无;1=有 | P(0)=51.09%;P(1)=48.91%; | - | |
制度因素 | Z9 | 农田经营相关技术支持,0=无;1=有 | P(0)=52.17%;P(1)=47.83%; | + |
Z10 | 农田经营相关补贴,0=无;1=有 | P(0)=11.96%;P(1)=88.04%; | + | |
Z11 | 农田经营相关政策限制,0=无;1=有 | P(0)=77.17%;P(1)=22.83%; | - |
类别 | 变量 | 变量说明 | 变量统计特征 | 作用方向 |
---|---|---|---|---|
人力因素 | Z1 | 农户年龄 | mean=56.92;std=9.12 | - |
Z2 | 0=文盲;1=小学;2=初中;3=高中或中专 | P(0)=1.09%;P(1)=35.87%;P(2)=58.70%;P(3)=4.35% | + | |
Z3 | 0=女;1=男 | P(0)=15.22%;P(1)=84.78%; | + | |
Z4 | 农户经营农田年限 | mean=35.26;std=11.36 | + | |
管理因素 | Z5 | 农户一个轮作周期内的施肥次数 | mean=1.84;std=0.84 | + |
Z6 | 经营农田所投入劳动力 | mean=157.00;std=172.89 | + | |
资金因素 | Z7 | 农户对农业收入的依赖程度 | mean=22.30;std=24.63 | + |
Z8 | 兼职情况,0=无;1=有 | P(0)=51.09%;P(1)=48.91%; | - | |
制度因素 | Z9 | 农田经营相关技术支持,0=无;1=有 | P(0)=52.17%;P(1)=47.83%; | + |
Z10 | 农田经营相关补贴,0=无;1=有 | P(0)=11.96%;P(1)=88.04%; | + | |
Z11 | 农田经营相关政策限制,0=无;1=有 | P(0)=77.17%;P(1)=22.83%; | - |
编号 | 综合效率 | 纯技术效率 | 规模效率 | |||||
---|---|---|---|---|---|---|---|---|
均值 | 变异系数/% | 均值 | 变异系数/% | 均值 | 变异系数/% | |||
A1 | 0.847 | 22.90 | 0.938 | 12.37 | 0.908 | 20.37 | ||
A2 | 0.689 | 52.25 | 0.963 | 7.68 | 0.704 | 48.58 | ||
A3 | 0.722 | 32.96 | 0.869 | 18.53 | 0.833 | 26.41 | ||
A4 | 0.782 | 19.82 | 0.853 | 17.23 | 0.918 | 9.91 | ||
B1 | 0.759 | 44.80 | 0.980 | 5.51 | 0.777 | 44.14 | ||
B2 | 0.957 | 12.02 | 0.958 | 11.59 | 0.998 | 0.40 | ||
平均 | 0.793 | 0.927 | 0.856 |
编号 | 综合效率 | 纯技术效率 | 规模效率 | |||||
---|---|---|---|---|---|---|---|---|
均值 | 变异系数/% | 均值 | 变异系数/% | 均值 | 变异系数/% | |||
A1 | 0.847 | 22.90 | 0.938 | 12.37 | 0.908 | 20.37 | ||
A2 | 0.689 | 52.25 | 0.963 | 7.68 | 0.704 | 48.58 | ||
A3 | 0.722 | 32.96 | 0.869 | 18.53 | 0.833 | 26.41 | ||
A4 | 0.782 | 19.82 | 0.853 | 17.23 | 0.918 | 9.91 | ||
B1 | 0.759 | 44.80 | 0.980 | 5.51 | 0.777 | 44.14 | ||
B2 | 0.957 | 12.02 | 0.958 | 11.59 | 0.998 | 0.40 | ||
平均 | 0.793 | 0.927 | 0.856 |
模式 | 有效农户 | 无效农户 | 无效农户投入产出冗余 | ||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
样本数 | 比例/% | 等级 | 样本数 | 比例/% | Y | X2 | X3 | X4 | |||
A1 | 5 | 31.25 | 严重 | 1 | 6.25 | 0 | 143.52 | 0 | 4431.82 | ||
中等 | 2 | 12.50 | 0 | 83.50 | 0 | 6501.05 | |||||
轻微 | 8 | 50.00 | 0 | 1.29 | 0 | 2580.35 | |||||
A2 | 2 | 50.00 | 严重 | 1 | 25.00 | 0 | 10.58 | 0 | 0 | ||
中等 | 1 | 25.00 | 0 | 0 | 0 | 187.04 | |||||
轻微 | 0 | 0 | |||||||||
A3 | 7 | 25.93 | 严重 | 4 | 14.81 | -39708.62 | 73.76 | 150.76 | 637.23 | ||
中等 | 6 | 22.22 | -9621.88 | 0 | 0 | 6656.95 | |||||
轻微 | 10 | 37.04 | -3442.98 | 138.43 | 0 | 788.09 | |||||
A4 | 3 | 9.68 | 严重 | 0 | 0 | ||||||
中等 | 10 | 32.26 | -1727.03 | 143.60 | 0 | 0 | |||||
轻微 | 18 | 58.06 | -36.52 | 255.58 | 0 | 2865.67 | |||||
B1 | 4 | 57.14 | 严重 | 2 | 28.57 | 0 | 0 | 0 | 1009.94 | ||
中等 | 0 | 0 | |||||||||
轻微 | 1 | 14.29 | 0 | 93.64 | 0 | 0 | |||||
B2 | 6 | 85.71 | 严重 | 0 | 0 | ||||||
中等 | 1 | 14.29 | 0 | 0 | 0 | 3232.60 | |||||
轻微 | 0 | 0 |
模式 | 有效农户 | 无效农户 | 无效农户投入产出冗余 | ||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
样本数 | 比例/% | 等级 | 样本数 | 比例/% | Y | X2 | X3 | X4 | |||
A1 | 5 | 31.25 | 严重 | 1 | 6.25 | 0 | 143.52 | 0 | 4431.82 | ||
中等 | 2 | 12.50 | 0 | 83.50 | 0 | 6501.05 | |||||
轻微 | 8 | 50.00 | 0 | 1.29 | 0 | 2580.35 | |||||
A2 | 2 | 50.00 | 严重 | 1 | 25.00 | 0 | 10.58 | 0 | 0 | ||
中等 | 1 | 25.00 | 0 | 0 | 0 | 187.04 | |||||
轻微 | 0 | 0 | |||||||||
A3 | 7 | 25.93 | 严重 | 4 | 14.81 | -39708.62 | 73.76 | 150.76 | 637.23 | ||
中等 | 6 | 22.22 | -9621.88 | 0 | 0 | 6656.95 | |||||
轻微 | 10 | 37.04 | -3442.98 | 138.43 | 0 | 788.09 | |||||
A4 | 3 | 9.68 | 严重 | 0 | 0 | ||||||
中等 | 10 | 32.26 | -1727.03 | 143.60 | 0 | 0 | |||||
轻微 | 18 | 58.06 | -36.52 | 255.58 | 0 | 2865.67 | |||||
B1 | 4 | 57.14 | 严重 | 2 | 28.57 | 0 | 0 | 0 | 1009.94 | ||
中等 | 0 | 0 | |||||||||
轻微 | 1 | 14.29 | 0 | 93.64 | 0 | 0 | |||||
B2 | 6 | 85.71 | 严重 | 0 | 0 | ||||||
中等 | 1 | 14.29 | 0 | 0 | 0 | 3232.60 | |||||
轻微 | 0 | 0 |
变量 | A1 | A2 | A3 | A4 | B1 | B2 | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
系数 | P值 | 系数 | P值 | 系数 | P值 | 系数 | P值 | 系数 | P值 | 系数 | P值 | ||||||
Z1 | 0.006 | 0.710 | 0.015 | 0.290 | 0.046 | 0.001*** | 0.011 | 0.117 | 0.000 | 0.993 | 0.022 | 0.058* | |||||
Z2 | 0.060 | 0.426 | -0.031 | 0.932 | -0.608 | 0.000*** | -0.242 | 0.002*** | 0.053 | 0.881 | 0.040 | 0.657 | |||||
Z3 | 0.111 | 0.113 | 0.261 | 0.384 | 0.093 | 0.332 | 0.034 | 0.688 | 0.496 | 0.099* | -0.142 | 0.443 | |||||
Z4 | -0.004 | 0.840 | 0.015 | 0.051* | -0.067 | 0.000*** | -0.014 | 0.087 | 0.006 | 0.938 | -0.007 | 0.594 | |||||
Z5 | 0.191 | 0.017** | 0.213 | 0.013** | 0.013 | 0.799 | -0.041 | 0.281 | 0.217 | 0.333 | 0.453 | 0.220 | |||||
Z6 | -0.003 | 0.000*** | 0.001 | 0.385 | 0.002 | 0.000*** | 0.000 | 0.183 | 0.000 | 0.893 | 0.000 | 0.976 | |||||
Z7 | 0.004 | 0.004*** | -0.178 | 0.692 | 0.008 | 0.000*** | 0.002 | 0.185 | 0.005 | 0.907 | 0.012 | 0.043** | |||||
Z8 | 0.601 | 0.000*** | 0.585 | 0.000*** | -0.1023 | 0.773 | -0.057 | 0.322 | 0.597 | 0.000*** | 0.659 | 0.317 | |||||
Z9 | 0.037 | 0.707 | 1.000 | 0.000*** | -0.229 | 0.043** | -0.140 | 0.056* | 0.577 | 0.008*** | -1.181 | 0.432 | |||||
Z10 | 0.292 | 0.014** | 0.784 | 0.000*** | 1.201 | 0.001*** | 1.107 | 0.000*** | 0.829 | 0.000*** | 0.618 | 0.160 | |||||
Z11 | 0.250 | 0.132 | -0.383 | 0.209 | 0.034 | 0.718 | 0.011 | 0.893 | -0.490 | 0.086* | 0.993 | 0.054* |
变量 | A1 | A2 | A3 | A4 | B1 | B2 | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
系数 | P值 | 系数 | P值 | 系数 | P值 | 系数 | P值 | 系数 | P值 | 系数 | P值 | ||||||
Z1 | 0.006 | 0.710 | 0.015 | 0.290 | 0.046 | 0.001*** | 0.011 | 0.117 | 0.000 | 0.993 | 0.022 | 0.058* | |||||
Z2 | 0.060 | 0.426 | -0.031 | 0.932 | -0.608 | 0.000*** | -0.242 | 0.002*** | 0.053 | 0.881 | 0.040 | 0.657 | |||||
Z3 | 0.111 | 0.113 | 0.261 | 0.384 | 0.093 | 0.332 | 0.034 | 0.688 | 0.496 | 0.099* | -0.142 | 0.443 | |||||
Z4 | -0.004 | 0.840 | 0.015 | 0.051* | -0.067 | 0.000*** | -0.014 | 0.087 | 0.006 | 0.938 | -0.007 | 0.594 | |||||
Z5 | 0.191 | 0.017** | 0.213 | 0.013** | 0.013 | 0.799 | -0.041 | 0.281 | 0.217 | 0.333 | 0.453 | 0.220 | |||||
Z6 | -0.003 | 0.000*** | 0.001 | 0.385 | 0.002 | 0.000*** | 0.000 | 0.183 | 0.000 | 0.893 | 0.000 | 0.976 | |||||
Z7 | 0.004 | 0.004*** | -0.178 | 0.692 | 0.008 | 0.000*** | 0.002 | 0.185 | 0.005 | 0.907 | 0.012 | 0.043** | |||||
Z8 | 0.601 | 0.000*** | 0.585 | 0.000*** | -0.1023 | 0.773 | -0.057 | 0.322 | 0.597 | 0.000*** | 0.659 | 0.317 | |||||
Z9 | 0.037 | 0.707 | 1.000 | 0.000*** | -0.229 | 0.043** | -0.140 | 0.056* | 0.577 | 0.008*** | -1.181 | 0.432 | |||||
Z10 | 0.292 | 0.014** | 0.784 | 0.000*** | 1.201 | 0.001*** | 1.107 | 0.000*** | 0.829 | 0.000*** | 0.618 | 0.160 | |||||
Z11 | 0.250 | 0.132 | -0.383 | 0.209 | 0.034 | 0.718 | 0.011 | 0.893 | -0.490 | 0.086* | 0.993 | 0.054* |
[1] | 谭术魁, 彭补拙 . 粮食安全的耕地保障检讨及近期耕地调控思路[J]. 经济地理, 2003,23(03):371-374,378. |
[2] | 傅泽强, 蔡运龙, 杨友孝 , 等. 中国粮食安全与耕地资源变化的相关分析[J]. 自然资源学报, 2001,16(04):313-319. |
[3] | 梁流涛, 曲福田, 王春华 . 基于DEA方法的耕地利用效率分析[J]. 长江流域资源与环境, 2008,17(02):242-246. |
[4] | 叶浩, 濮励杰, 张健 . 中国粮食主产区耕地产出效率研究[J]. 长江流域资源与环境, 2008,17(04):584-587. |
[5] | 杨朔 . 陕西省耕地生产效率研究[D]. 西安:西北农林科技大学, 2011: 11-13. |
[6] | 梁栋 . 湖南省粮食生产效率及影响因素分析[D]. 长沙:湖南农业大学, 2015: 1-10. |
[7] | 潘倩红, 任大廷 . 四川省耕地生产效率及影响因素分析——基于DEA方法和Tobit模型的运用[J]. 国土资源科技管理, 2010,27(04):95-101. |
[8] | 李在军, 管卫华, 臧磊 . 山东省耕地生产效率及影响因素分析[J]. 世界地理研究, 2013,22(02):167-175. |
[9] | 杨键 . 萝卜生产成本收益及全要素生产率分析[D]. 武汉:华中农业大学: 2010, 8-9. |
[10] | 肖阳, 朱立志 . 基于DEA-Tobit模型的马铃薯生产效率分析——以甘肃省定西市为例[J]. 中国农业资源与区划, 2016,37(06):37-43. |
[11] | 唐江云, 胡亮, 万志玲 , 等. 基于DEA模型的四川烤烟生产效率及其影响因素研究[J]. 中国农学通报, 2018,34(12):69-75. |
[12] | 肖娟 . 四川农户水稻种植规模效率及其影响因素研究[D]. 成都:四川农业大学: 2012, 13-14. |
[13] | 陈潜, 彭婵娟, 刘伟平 , 等. 福建省农户毛竹生产效率及影响因素研究——基于DEA-Tobit模型[J]. 福建论坛:人文社会科学版, 2015(01):132-136. |
[14] | 石晶, 李林 . 基于DEA-Tobit模型的中国棉花生产技术效率分析[J]. 技术经济, 2013,32(06):79-84. |
[15] | 杨利蓉, 陈文宽, 母培松 . 基于数据包络分析(DEA)的射洪县农业经济效率研究[J]. 四川农业大学学报, 2009,27(02):243-247. |
[16] | 李然 . 中国油菜生产的经济效率分析[D]. 武汉:华中农业大学, 2010: 65-77. |
[17] | 郭斯华, 季凯文 . 江西水稻生产效率测算及其影响因素分析[J]. 江西财经大学学报, 2018(02):90-99. |
[18] | 王欢, 穆月英 . 基于农户视角的中国蔬菜生产资源配置评价——兼对三阶段DEA模型的修正[J]. 中国农业大学学报, 2014,19(06):221-231. |
[19] | 郭斌, 尹梦雅 . 关中地区不同农业经营主体耕地生产效率比较——基于Meta-Frontier模型[J]. 江苏农业科学, 2018,46(07):294-299. |
[20] | Wang K Y . The Research on Impact Factors and Characteristic of Cultivated Land Resources Use Efficiency——take Henan Province,China as a Case Study[A]. Information Engineering Research Institute, USA.Proceedings of 2013 International Conference on Agricultural and Natural Resources Engineering(ICANRE 2013 V5)[C]. Information Engineering Research Institute, USA: 智能信息技术应用学会, 2013. |
[1] | BAO Guangling, TAO Ronghao, YANG Qingbo, HU Hanxiu, LI Ding, MA Youhua. Microbial Remediation of Heavy Metal Pollution in Farmland Soil: Research Progress [J]. Chinese Agricultural Science Bulletin, 2022, 38(6): 69-74. |
[2] | WANG Yan, WANG Liwei, ZHAO Hongyan, ZHAO Min, YANG Hongyan. Characteristics of Nutrients and Microbial Community Composition of Different Panax ginseng Cultivation Soil [J]. Chinese Agricultural Science Bulletin, 2022, 38(5): 60-68. |
[3] | DING Qixun, TANG Mengmeng, LI Zijie, JIANG Wenjuan, ZHANG Xuewei, MA Youhua. Cultivated Land Quality Grade Evaluation of High-standard Farmland in Guoyang County [J]. Chinese Agricultural Science Bulletin, 2022, 38(4): 46-52. |
[4] | ZHANG Huimin, BAO Guangling, ZHOU Xiaotian, GAO Linlin, HU Hongxiang, MA Youhua. Safety Assessment of Heavy Metals in Specific Crops of Strictly Controlled Farmland [J]. Chinese Agricultural Science Bulletin, 2022, 38(3): 52-58. |
[5] | PAN Xue, CAI Liqun, DONG Bo, NIE Guangyun. The Quality Grade and Nutrient Characteristics of Cultivated Land in Pingchuan District [J]. Chinese Agricultural Science Bulletin, 2022, 38(29): 118-128. |
[6] | HU Yi, WANG Jing, LI Gang. Soil Nutrient Characteristics and Fertility Grade Evaluation of Newly-increased Farmland in Weibei Dryland: A Case Study of Heyang County [J]. Chinese Agricultural Science Bulletin, 2022, 38(27): 94-100. |
[7] | QUAN Shengxiang, SHI Xuefeng, LIU Xiaoyue, LI Changwu, GE Yi, ZHANG Yan. Effects of Amaranthus hypochondriacus Enhanced by Biodegradable Chelating Agent on the Remediation of Cadmium Contaminated Farmland [J]. Chinese Agricultural Science Bulletin, 2022, 38(25): 85-89. |
[8] | LU Chuang, HU Haitang, HUAI Heju, TIAN Yujie, SHI Jianan, LI Cunjun. Different Nitrogen Application Rates: Effects on Net Carbon Effect of Summer Maize Farmland Ecosystem [J]. Chinese Agricultural Science Bulletin, 2022, 38(21): 44-50. |
[9] | Li Jingjing, Li Delu, Man Duoqing, Yan Zizhu, Zhang Dekui, Ma Junmei, Guo Shujiang. Comparison of Wind and Sand Flow Characteristics of Two Types of Sand Accretion Instruments on Abandoned Farmland of Different Years [J]. Chinese Agricultural Science Bulletin, 2021, 37(8): 60-65. |
[10] | Huang Di, Huang Zhihong, Kong Hui, Yi Hao, Long Xiang, Yang Yanqun, Xiao Huining. Stabilization Remediation Technology and Remediation Practice of Heavy Metal Contaminated Farmland Soil [J]. Chinese Agricultural Science Bulletin, 2021, 37(8): 72-78. |
[11] | Yan Jixuan, Kang Xia, Zhang Meihua, Sun Dongyuan, Qiao Hongqiang. Agricultural Land Transfer Behavior and Influencing Factors of Yongchang County in Hexi Corridor [J]. Chinese Agricultural Science Bulletin, 2021, 37(5): 143-148. |
[12] | Liang Yupei, Wang Wenchang. The Willingness of Farmers to Participate in the Later Stage Management of Permanent Prime Farmland [J]. Chinese Agricultural Science Bulletin, 2021, 37(5): 149-155. |
[13] | Fang Keming, Xiao Xin, Wang Meiling, Zhang Lu, Wang Lu, Qin Leiying, Zhang Ming, Jiang Lin, Zhu Anfan. Intermediate Test Effect of Agricultural Lime on Acid and Cadmium Contaminated Paddy Field [J]. Chinese Agricultural Science Bulletin, 2021, 37(26): 93-97. |
[14] | Ding Qi, Yang Yantao, An Yan. Measure of Production Efficiency and Analysis of Influencing Factors in Main Maize Producing Provinces:An Empirical Study Based on DEA-Tobit Model [J]. Chinese Agricultural Science Bulletin, 2021, 37(23): 151-157. |
[15] | Jiang Lanqi, Wang Ping, Jiang Lixia, Gong Lijuan, Yu Chenglong, Li Xiufen. Estimation of Crop Planting Area and Spatial Distribution Based on MODIS NDVI Time-series Data of Rice and Dry Farmland Crops [J]. Chinese Agricultural Science Bulletin, 2021, 37(16): 108-118. |
Viewed | ||||||
Full text |
|
|||||
Abstract |
|
|||||