地理科学 ›› 2022, Vol. 42 ›› Issue (6): 1102-1112.doi: 10.13249/j.cnki.sgs.2022.06.016
收稿日期:
2021-06-22
修回日期:
2021-10-21
出版日期:
2022-06-25
发布日期:
2022-08-23
通讯作者:
刘蒙罢
E-mail:wengaohui360101@sina.com;liumengba940312@sina.com
作者简介:
文高辉(1990−),男,江西萍乡人,副教授,博士,主要从事土地经济与管理研究。E-mail: wengaohui360101@sina.com
基金资助:
Wen Gaohui1,2(), Liu Mengba3,*(
), Hu Xianhui1, Zhao Jing4
Received:
2021-06-22
Revised:
2021-10-21
Online:
2022-06-25
Published:
2022-08-23
Contact:
Liu Mengba
E-mail:wengaohui360101@sina.com;liumengba940312@sina.com
Supported by:
摘要:
以2007—2017年洞庭湖平原24县(区、市)为研究对象,基于碳排放和面源污染排放双重视角构建洞庭湖平原耕地利用生态效率评价指标体系,运用超效率SBM模型(Slacks-Based Measure of Super-Efficiency model,Super-SBM model)、空间自相关模型、空间计量模型等方法,分析洞庭湖平原耕地利用生态效率的时空变化、空间相关性,并揭示洞庭湖平原耕地利用生态效率的空间效应及影响因素。结果表明:① 2007—2017年洞庭湖平原耕地利用生态效率值呈现出平缓的“升?降?升”的演变趋势,总体上处于中等效率发展水平,区域县际间耕地利用生态效率差异逐步在缩小。② 洞庭湖平原耕地利用生态效率存在显著的空间集聚特征,高高集聚区主要分布在洞庭平原的西南部和南部,低低集聚区主要分布在洞庭平原的北部和西北部,空间格局的变化主要发生在高低集聚区和低高集聚区。③ 洞庭湖平原耕地利用生态效率存在显著的空间效应,城市化水平、地区科技投入、农业技术推广面积、农户人均纯收入和农户人均农业产值对耕地利用生态效率存在显著的正向效应,而城乡差异和财政支农支出额对耕地利用生态效率存在负向效应。
中图分类号:
文高辉, 刘蒙罢, 胡贤辉, 赵京. 洞庭湖平原耕地利用生态效率空间相关性与空间效应[J]. 地理科学, 2022, 42(6): 1102-1112.
Wen Gaohui, Liu Mengba, Hu Xianhui, Zhao Jing. Spatial Correlation and Spatial Effect of Cultivated Land Use Ecological Efficiency in the Dongting Lake Plain[J]. SCIENTIA GEOGRAPHICA SINICA, 2022, 42(6): 1102-1112.
Table 1
Evaluation index system of total factor ecological efficiency of cultivated land use
指标 | 变量 | 变量说明 |
注:指标数据主要来源于2008—2018年《湖南统计年鉴》[ | ||
投入类指标 | 耕地投入 | 主要农作物的播种面积/103 hm2 |
劳动力投入 | 第一产业从业人员/104人 | |
化肥投入 | 化肥使用的折纯量/t | |
农药投入 | 农药使用量/t | |
农膜投入 | 农膜使用量/t | |
机械投入 | 农业机械总动力/kW | |
役畜投入 | 从事劳役牲畜数量/头 | |
柴油投入 | 柴油使用量/t | |
灌溉投入 | 有效灌溉面积/103 hm2 | |
期望产出指标 | 粮食总产量 | 主要农作物粮食总产量/t |
非期望产出指标 | 碳排放量 | 4类碳排放源的碳排放总和/t |
面源污染排放量 | 化肥、农药、农膜利用过程中的残留量/t |
Table 2
Evaluation value of cultivated land use ecological efficiency in the Dongting Lake Plain from 2007 to 2017
年份 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 均值 |
岳阳楼区 | 1.242 | 1.248 | 1.297 | 1.293 | 1.294 | 1.089 | 1.093 | 1.103 | 1.110 | 1.212 | 1.216 | 1.200 |
云溪区 | 0.218 | 0.261 | 0.276 | 0.312 | 0.318 | 0.331 | 0.299 | 0.298 | 0.297 | 0.293 | 0.313 | 0.293 |
君山区 | 0.339 | 0.387 | 0.417 | 0.466 | 0.515 | 0.474 | 0.438 | 0.462 | 0.469 | 0.469 | 0.448 | 0.444 |
岳阳县 | 0.591 | 0.624 | 0.570 | 0.611 | 1.038 | 1.056 | 1.026 | 1.022 | 1.022 | 1.026 | 1.036 | 0.875 |
华容县 | 0.414 | 0.381 | 0.401 | 0.465 | 0.504 | 0.459 | 0.409 | 0.420 | 0.416 | 0.413 | 0.424 | 0.428 |
湘阴县 | 1.164 | 1.131 | 1.133 | 1.120 | 1.058 | 1.045 | 1.061 | 1.064 | 1.057 | 1.070 | 1.080 | 1.089 |
汨罗市 | 0.482 | 0.469 | 1.009 | 1.021 | 1.036 | 0.548 | 0.564 | 0.554 | 1.001 | 1.019 | 1.027 | 0.794 |
临湘市 | 1.007 | 1.028 | 1.041 | 1.023 | 0.775 | 0.776 | 0.730 | 0.726 | 0.738 | 0.742 | 0.722 | 0.846 |
资阳区 | 1.027 | 1.009 | 1.013 | 1.009 | 1.007 | 1.007 | 0.488 | 0.488 | 0.488 | 0.498 | 0.486 | 0.774 |
赫山区 | 1.058 | 1.033 | 1.063 | 1.042 | 1.031 | 1.050 | 1.017 | 1.025 | 1.024 | 1.064 | 1.054 | 1.042 |
南县 | 0.443 | 0.424 | 1.015 | 1.002 | 1.013 | 1.009 | 0.501 | 0.494 | 1.023 | 1.038 | 1.042 | 0.819 |
沅江市 | 0.354 | 0.414 | 0.510 | 0.513 | 0.506 | 0.667 | 0.558 | 0.572 | 0.598 | 0.617 | 0.627 | 0.540 |
武陵区 | 0.313 | 0.337 | 0.421 | 1.002 | 1.028 | 1.059 | 1.054 | 1.161 | 1.206 | 1.296 | 1.307 | 0.926 |
鼎城区 | 1.089 | 1.030 | 1.017 | 1.088 | 1.052 | 1.031 | 1.035 | 1.025 | 1.035 | 1.031 | 1.020 | 1.041 |
安乡县 | 1.008 | 1.090 | 1.243 | 1.175 | 1.129 | 1.112 | 1.102 | 1.422 | 1.050 | 1.039 | 1.030 | 1.127 |
汉寿县 | 1.043 | 1.027 | 1.029 | 1.027 | 1.073 | 1.063 | 1.052 | 1.031 | 1.054 | 1.073 | 1.082 | 1.050 |
澧县 | 0.377 | 0.390 | 0.499 | 0.518 | 0.576 | 0.514 | 0.497 | 0.483 | 0.490 | 0.547 | 0.556 | 0.495 |
临澧县 | 1.053 | 1.058 | 1.048 | 1.052 | 1.074 | 1.073 | 1.065 | 1.079 | 1.084 | 1.111 | 1.131 | 1.075 |
桃源县 | 1.021 | 1.053 | 1.074 | 1.084 | 1.110 | 1.101 | 1.167 | 1.168 | 1.168 | 1.163 | 1.262 | 1.125 |
津市市 | 0.454 | 1.004 | 1.011 | 1.013 | 1.064 | 1.090 | 1.095 | 1.104 | 1.100 | 1.095 | 1.194 | 1.020 |
望城区 | 1.128 | 1.068 | 1.078 | 1.140 | 1.134 | 1.184 | 1.234 | 1.210 | 1.211 | 1.196 | 1.177 | 1.160 |
松滋市 | 0.605 | 1.002 | 1.005 | 1.008 | 0.574 | 0.546 | 0.657 | 0.631 | 0.670 | 0.681 | 0.690 | 0.734 |
公安县 | 1.168 | 1.048 | 1.050 | 1.031 | 1.118 | 1.214 | 1.250 | 1.252 | 1.125 | 1.129 | 1.133 | 1.138 |
石首市 | 0.501 | 0.745 | 0.719 | 1.019 | 0.574 | 0.582 | 0.624 | 0.563 | 0.528 | 0.497 | 0.517 | 0.624 |
均值 | 0.754 | 0.802 | 0.872 | 0.918 | 0.900 | 0.878 | 0.834 | 0.848 | 0.874 | 0.888 | 0.899 | — |
Table 3
Global Moran’s I of cultivated land use ecological efficiency in the Dongting Lake Plain from 2007 to 2017
年份 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 |
Moran’s I | 0.198 | 0.156 | 0.204 | 0.258 | 0.261 | 0.282 | 0.302 | 0.298 | 0.364 | 0.326 | 0.311 |
Z值 | 1.732 | 1.486 | 1.812 | 2.083 | 2.125 | 2.306 | 2.611 | 2.476 | 2.765 | 2.689 | 2.626 |
P值 | 0.082 | 0.125 | 0.071 | 0.034 | 0.028 | 0.019 | 0.003 | 0.012 | 0.000 | 0.000 | 0.000 |
Table 4
Spatial measurement results of cultivated land use ecological efficiency in the Dongting Lake Plain
参数 | 普通面板模型 | 个体固定效应模型 | 时间固定效应模型 | 双向固定效应模型 |
注: *、**、***分别表示参数通过10%、5%、1%的显著性水平检验;X1为城市化水平 ;X 2为地区科技投入;X 3为城乡差异; X 4为农业技术推广面积; X 5为财政支农支出额;X 6农户人均纯收入;X 7为农户人均农业产值;−表示无值 。 | ||||
X1 | 0.208** | 0.324*** | 0.276*** | 0.368*** |
X2 | 0.132** | 0.146** | 0.152** | 0.214** |
X3 | 0.006 | −0.016* | 0.011* | −0.127** |
X4 | 0.322** | 0.346** | 0.295** | 0.402*** |
X5 | 0.004 | 0.008 | −0.057* | −0.069* |
X6 | 0.210** | 0.203** | 0.533*** | 0.386*** |
X7 | 0.028 | 0.115** | 0.134** | 0.079* |
R2 | 0.691 | 0.858 | 0.723 | 0.885 |
Adjusted R2 | 0.682 | 0.835 | 0.701 | 0.864 |
σ2 | 0.055 | 0.074 | 0.029 | 0.064 |
LogL | 45.876 | 153.352 | −40.558 | 159.146 |
λ | − | 0.526*** | 0.466*** | 0.582*** |
F-statistic | 22.417 | 58.265 | 20.482 | 62.402 |
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