Arid Land Geography ›› 2025, Vol. 48 ›› Issue (5): 879-892.doi: 10.12118/j.issn.1000-6060.2024.329
• Carbon Emissions • Previous Articles Next Articles
MA Haiqing1(), CHEN Qiangqiang1,2(
)
Received:
2024-05-28
Revised:
2024-07-29
Online:
2025-05-25
Published:
2025-05-13
Contact:
CHEN Qiangqiang
E-mail:18419286658@163.com;jjglxy666@126.com
MA Haiqing, CHEN Qiangqiang. Spatial-temporal differentiation characteristics and influencing factors of agricultural carbon emissions in Gansu Province[J].Arid Land Geography, 2025, 48(5): 879-892.
Tab. 1
Agricultural carbon emission coefficients"
碳排放类型 | 碳源 | 碳排放系数 | 单位 | 参考来源 |
---|---|---|---|---|
农用物资 | 化肥 | 0.8956 | kg C·kg-1 | 田云等[ |
农膜 | 5.1800 | kg C·kg-1 | ||
柴油 | 0.5927 | kg C·kg-1 | ||
灌溉 | 266.4800 | kg C·hm-2 | ||
土地管理 | 翻耕 | 312.6000 | kg C·hm-2 | 李波等[ |
水稻 | 19.5048 | kg C·hm-2 | ||
春小麦 | 32.5080 | kg C·hm-2 | ||
冬小麦 | 142.2225 | kg C·hm-2 | ||
豆类 | 62.5779 | kg C·hm-2 | ||
玉米 | 205.6131 | kg C·hm-2 | ||
蔬菜 | 342.1467 | kg C·hm-2 | ||
畜牧养殖 | 牛 | 414.0860 | kg C·头-1·a-1 | 胡向东[ |
禽类 | 81.4064 | kg C·只-1·a-1 | ||
驴 | 155.6080 | kg C·头-1·a-1 | ||
马 | 215.2148 | kg C·匹-1·a-1 | ||
猪 | 115.3700 | kg C·头-1·a-1 | ||
羊 | 116.4612 | kg C·只-1·a-1 |
Tab. 2
Total agricultural carbon emissions in 14 cities (prefectures) of Gansu Province from 2014 to 2022"
地区 | 碳排放总量/104 t | 年均增长率/% | ||||||||
---|---|---|---|---|---|---|---|---|---|---|
2014年 | 2015年 | 2016年 | 2017年 | 2018年 | 2019年 | 2020年 | 2021年 | 2022年 | ||
兰州市 | 37.333 | 38.233 | 37.391 | 33.453 | 32.059 | 32.350 | 33.371 | 31.652 | 32.468 | -1.624 |
嘉峪关市 | 1.728 | 1.782 | 1.692 | 1.697 | 1.708 | 1.828 | 2.148 | 2.229 | 2.576 | 5.343 |
白银市 | 65.904 | 67.652 | 67.110 | 67.137 | 66.029 | 67.952 | 71.523 | 70.161 | 73.295 | 1.371 |
天水市 | 69.176 | 70.912 | 71.068 | 62.477 | 56.257 | 55.776 | 56.931 | 52.433 | 53.405 | -3.019 |
金昌市 | 20.201 | 21.213 | 20.761 | 19.994 | 19.460 | 21.480 | 22.457 | 30.945 | 31.839 | 6.515 |
武威市 | 118.065 | 119.510 | 112.858 | 113.432 | 112.990 | 115.677 | 126.656 | 128.280 | 145.170 | 2.762 |
张掖市 | 106.211 | 109.015 | 107.127 | 103.472 | 98.556 | 102.899 | 108.139 | 102.720 | 115.857 | 1.253 |
平凉市 | 80.377 | 81.727 | 81.468 | 67.797 | 58.069 | 56.971 | 53.680 | 58.282 | 60.386 | -3.157 |
酒泉市 | 85.994 | 87.768 | 86.335 | 78.873 | 71.893 | 79.087 | 74.574 | 78.192 | 82.660 | -0.274 |
庆阳市 | 97.627 | 99.265 | 99.326 | 85.406 | 80.594 | 84.035 | 98.202 | 92.287 | 97.521 | 0.358 |
定西市 | 79.629 | 81.695 | 81.849 | 73.424 | 72.320 | 75.121 | 73.604 | 76.481 | 80.388 | 0.232 |
陇南市 | 59.349 | 60.425 | 66.748 | 50.594 | 40.256 | 41.861 | 43.659 | 38.936 | 39.663 | -4.128 |
临夏州 | 48.639 | 50.090 | 49.294 | 45.105 | 43.111 | 46.888 | 50.160 | 51.606 | 55.012 | 1.712 |
甘南州 | 84.788 | 84.529 | 83.462 | 86.973 | 89.504 | 87.206 | 87.620 | 76.696 | 69.591 | -2.285 |
全省总计 | 955.022 | 973.817 | 966.489 | 889.832 | 842.806 | 869.131 | 902.723 | 890.898 | 939.832 | -0.104 |
Tab. 3
Agricultural carbon emissions intensity in 14 cities (prefectures) of Gansu Province from 2014 to 2022"
地区 | 碳排放强度/t·hm-2 | 年均碳排放 强度/t·hm-2 | ||||||||
---|---|---|---|---|---|---|---|---|---|---|
2014年 | 2015年 | 2016年 | 2017年 | 2018年 | 2019年 | 2020年 | 2021年 | 2022年 | ||
兰州市 | 0.019 | 0.018 | 0.017 | 0.013 | 0.012 | 0.011 | 0.012 | 0.010 | 0.010 | 0.014 |
嘉峪关市 | 0.008 | 0.009 | 0.011 | 0.008 | 0.006 | 0.007 | 0.008 | 0.007 | 0.007 | 0.008 |
白银市 | 0.147 | 0.156 | 0.152 | 0.149 | 0.129 | 0.140 | 0.144 | 0.123 | 0.115 | 0.139 |
天水市 | 0.150 | 0.151 | 0.138 | 0.116 | 0.098 | 0.088 | 0.086 | 0.070 | 0.066 | 0.107 |
金昌市 | 0.067 | 0.083 | 0.092 | 0.081 | 0.062 | 0.063 | 0.063 | 0.072 | 0.061 | 0.071 |
武威市 | 0.289 | 0.287 | 0.244 | 0.264 | 0.241 | 0.237 | 0.241 | 0.214 | 0.219 | 0.248 |
张掖市 | 0.340 | 0.335 | 0.306 | 0.288 | 0.245 | 0.230 | 0.232 | 0.195 | 0.199 | 0.263 |
平凉市 | 0.229 | 0.235 | 0.222 | 0.191 | 0.147 | 0.125 | 0.113 | 0.105 | 0.094 | 0.162 |
酒泉市 | 0.141 | 0.161 | 0.149 | 0.143 | 0.120 | 0.128 | 0.113 | 0.103 | 0.098 | 0.129 |
庆阳市 | 0.151 | 0.171 | 0.176 | 0.146 | 0.115 | 0.113 | 0.130 | 0.104 | 0.095 | 0.134 |
定西市 | 0.301 | 0.278 | 0.253 | 0.209 | 0.188 | 0.180 | 0.167 | 0.153 | 0.144 | 0.208 |
陇南市 | 0.205 | 0.192 | 0.196 | 0.148 | 0.106 | 0.094 | 0.097 | 0.078 | 0.071 | 0.132 |
临夏州 | 0.240 | 0.237 | 0.214 | 0.194 | 0.169 | 0.155 | 0.151 | 0.138 | 0.135 | 0.181 |
甘南州 | 0.549 | 0.534 | 0.469 | 0.474 | 0.432 | 0.399 | 0.400 | 0.333 | 0.284 | 0.436 |
甘肃省 | 0.143 | 0.147 | 0.139 | 0.121 | 0.103 | 0.100 | 0.100 | 0.087 | 0.084 | 0.114 |
Tab. 4
Agricultural carbon emissions structure in 14 cities (prefectures) of Gansu Province from 2014 to 2022"
地区 | 农用物资 | 土地管理过程 | 畜牧养殖 | 2014—2022年碳 排放总量/104 t | |||||
---|---|---|---|---|---|---|---|---|---|
碳排放量/104 t | 占比/% | 碳排放量/104 t | 占比/% | 碳排放量/104 t | 占比/% | ||||
兰州市 | 91.257 | 29.453 | 74.967 | 24.195 | 143.617 | 46.352 | 309.843 | ||
嘉峪关市 | 2.769 | 15.881 | 2.366 | 13.570 | 12.299 | 70.549 | 17.433 | ||
白银市 | 159.320 | 25.832 | 116.749 | 18.929 | 340.494 | 55.207 | 616.761 | ||
天水市 | 151.018 | 27.536 | 168.451 | 30.715 | 228.968 | 41.749 | 548.437 | ||
金昌市 | 62.968 | 30.222 | 29.509 | 14.163 | 115.875 | 55.615 | 208.351 | ||
武威市 | 228.523 | 20.915 | 94.543 | 8.653 | 769.574 | 70.433 | 1092.640 | ||
张掖市 | 180.886 | 18.961 | 103.178 | 10.815 | 669.922 | 70.223 | 953.994 | ||
平凉市 | 156.504 | 26.138 | 144.214 | 24.086 | 298.039 | 49.776 | 598.757 | ||
酒泉市 | 163.817 | 23.140 | 49.897 | 7.048 | 494.211 | 69.811 | 707.926 | ||
庆阳市 | 171.784 | 20.898 | 214.521 | 26.098 | 435.671 | 53.002 | 821.996 | ||
定西市 | 177.117 | 25.502 | 177.352 | 25.536 | 340.042 | 48.961 | 694.510 | ||
陇南市 | 103.653 | 23.478 | 130.358 | 29.527 | 207.325 | 46.960 | 441.490 | ||
临夏州 | 68.520 | 15.576 | 59.510 | 13.528 | 311.873 | 70.896 | 439.904 | ||
甘南州 | 6.603 | 0.882 | 21.077 | 2.815 | 721.135 | 96.303 | 748.816 | ||
甘肃省 | 1724.738 | 21.031 | 1386.693 | 16.909 | 5089.046 | 62.055 | 8200.858 |
Tab. 5
Global Moran’s I index of agricultural carbon emissions from 2014 to 2022"
年份 | 全局Moran’s I指数 | 方差 | Z得分 | P值 | 结果 |
---|---|---|---|---|---|
2014 | -0.7060 | 0.0687 | -2.4005 | 0.0164 | 显著负相关 |
2015 | -0.7127 | 0.0685 | -2.4294 | 0.0151 | 显著负相关 |
2016 | -0.6830 | 0.0681 | -2.3221 | 0.0203 | 显著负相关 |
2017 | -0.7543 | 0.0692 | -2.5762 | 0.0102 | 显著负相关 |
2018 | -0.7282 | 0.0701 | -2.4596 | 0.0139 | 显著负相关 |
2019 | -0.7660 | 0.0701 | -2.6017 | 0.0093 | 显著负相关 |
2020 | -0.7227 | 0.0697 | -2.4461 | 0.0144 | 显著负相关 |
2021 | -0.6849 | 0.0677 | -2.3361 | 0.0195 | 显著负相关 |
2022 | -0.6864 | 0.0663 | -2.3680 | 0.0179 | 显著负相关 |
Tab. 6
Comparison of total power regression coefficients of agricultural machinery"
年份 | 回归系数 | 市(州) |
---|---|---|
2014 | -1.323~-1.058 | 嘉峪关市、兰州市、金昌市 |
-1.058~-0.252 | 陇南市、白银市、临夏州、定西市 | |
-0.252~0.174 | 酒泉市、武威市、天水市 | |
0.174~1.330 | 张掖市、庆阳市、平凉市 | |
1.330~2.196 | 甘南州 | |
2016 | -1.594~-1.031 | 嘉峪关市、金昌市、兰州市 |
-1.031~-0.466 | 酒泉市、白银市、陇南市 | |
-0466~0.123 | 天水市、临夏州、武威市、定西市 | |
0.123~1.265 | 张掖市、庆阳市、平凉市 | |
1.265~3.376 | 甘南州 | |
2018 | -1.265~-1.061 | 嘉峪关市、金昌市、陇南市 |
-1.061~-0.560 | 酒泉市、兰州市 | |
-0.560~0.257 | 天水市、白银市、临夏州、定西市、平凉市 | |
0.257~0.826 | 张掖市、庆阳市、武威市 | |
0.826~2.879 | 甘南州 | |
2020 | -1.806~-1.703 | 嘉峪关市、定西市 |
-1.703~-0.889 | 金昌市、兰州市 | |
-0.889~-0.197 | 天水市、平凉市、临夏州、陇南市 | |
-0.197~0.716 | 酒泉市、白银市、甘南州 | |
0.716~1.846 | 张掖市、武威市、庆阳市 | |
2022 | -1.941~-1.729 | 嘉峪关市、定西市 |
-1.729~-0.720 | 金昌市、兰州市、陇南市 | |
-0.720~0.199 | 白银市、天水市、平凉市、临夏州、甘南州 | |
0.199~1.360 | 张掖市、酒泉市、庆阳市 | |
1.360~2.155 | 武威市 |
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