洞庭湖平原耕地利用生态效率空间相关性与空间效应

doi:10.13249/j.cnki.sgs.2022.06.016

地理科学 ›› 2022, Vol. 42 ›› Issue (6): 1102-1112.doi: 10.13249/j.cnki.sgs.2022.06.016

洞庭湖平原耕地利用生态效率空间相关性与空间效应

文高辉¹^,²(), 刘蒙罢³^,^*(), 胡贤辉¹, 赵京⁴

1.湖南师范大学地理科学学院，湖南长沙 410081
2.地理空间大数据挖掘与应用湖南省重点实验室，湖南长沙 410081
3.华中农业大学公共管理学院，湖北武汉 430070
4.中南林业科技大学经济学院，湖南长沙 410004

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:
国家自然科学基金项目（41801190）、湖南省自然科学基金项目（2019JJ50390）、湖南省地理学一流学科建设项目资助

Spatial Correlation and Spatial Effect of Cultivated Land Use Ecological Efficiency in the Dongting Lake Plain

Wen Gaohui¹^,²(), Liu Mengba³^,^*(), Hu Xianhui¹, Zhao Jing⁴

1. School of Geographical Sciences, Hunan Normal University, Changsha 410081, Hunan, China
2. Hunan Provincial Key Laboratory of Geospatial Big Data Mining and Application, Changsha 410081, Hunan, China
3. College of Public Administration, Huazhong Agricultural University, Wuhan 430070, Hubei, China
4. College of Economics, Central South Forestry Technology University, Changsha 410004, Hunan, China

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:
National Natural Science Foundation of China (41801190), Natural Science Foundation of Hunan Province (2019JJ50390), The Construction Program for First-class Disciplines (Geography) of Hunan Province.

摘要/Abstract

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。

关键词: 耕地利用生态效率, 超效率SBM模型, 空间计量模型, 洞庭湖平原

Abstract:

On the basis of the dual perspectives of carbon emissions and non-point pollution emissions, this article construct the ecological efficiency evaluation index system of cultivated land use in the Dongting Lake Plain. Taking 24 counties (districts and cities) in the Dongting Lake Plain from 2007 to 2017 as the research object, using Slacks-Based Measure of Super-Efficiency model (Super-SBM model) and spatial autocorrelation models, spatial measurement models and other methods, this article analyzes the temporal and spatial changes and spatial correlation of the ecological efficiency of cultivated land use in the Dongting Lake Plain, and shows the spatial effects and influencing factors of the ecological efficiency of cultivated land use in the Dongting Lake Plain. The results show that: 1) The ecological efficiency value of cultivated land use in the Dongting Lake Plain from 2007 to 2017 showed a gentle evolution trend of “rising-fall-rising”, and was generally at a medium-efficiency development level. The difference in ecological efficiency of cultivated land use among regional counties gradually shrinking. 2) The ecological efficiency of cultivated land use in the Dongting Lake Plain has significant spatial agglomeration features. High-high agglomeration areas are mainly distributed in the southwest and south of the Dongting Lake Plain, and low-low agglomeration areas are mainly distributed in the north and northwest of the Dongting Lake Plain. The spatial pattern changes mainly occur in high-low agglomeration areas and low-high agglomeration areas. 3) The ecological efficiency of cultivated land use in the Dongting Lake Plain has significant spatial effects. The level of urbanization, regional scientific and technological investment, agricultural technology extension area, per capita net income of farmers, and per capita agricultural output value of farmers have significant positive effects on the ecological efficiency of cultivated land use. Urban and rural differences and fiscal expenditures for agriculture have a negative effect on the ecological efficiency of cultivated land use. In the future, the horizontal linkage mechanism among counties be established to promote the technology and policy spilt over in the high value areas of ecological efficiency of cultivated land use, to drive the linkage development in the low value areas. At the same time, farmland ecological planting subsidies will be further increased to promote farmers’ farmland planting behavior from environmentally unfriendly to environmentally friendly.

Key words: cultivated land use ecological efficiency, Super-SBM model, spatial econometric model, the Dongting Lake Plain

中图分类号:

F301.2

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.

图/表 6

图1

Table 1

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 2

Table 3

图2

Table 4

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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》^[22]、《湖北统计年鉴》^[23]、《湖南农村统计年鉴》^[24]、《湖北农村统计年鉴》^[25]。
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
非期望产出指标	面源污染排放量	化肥、农药、农膜利用过程中的残留量/t

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

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

洞庭湖平原耕地利用生态效率空间相关性与空间效应

Spatial Correlation and Spatial Effect of Cultivated Land Use Ecological Efficiency in the Dongting Lake Plain

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