黑龙江省县域尺度耕地利用效率空间非均衡及其动态演变
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摘要
基于2000—2015年黑龙江省县域尺度的耕地利用效率测算的基础上,借助Mookherjee&Shorrocks基尼系数、Markov链分析方法定量刻画了黑龙江省耕地利用效率非均衡特征和演变趋势。结果表明:(1)2000—2015年黑龙江省耕地利用效率整体呈"先下降后上升"的波动态势,表现出松嫩平原>三江平原>大小兴安岭>两岭山地的地理格局,非均衡性特征比较明显。(2)黑龙江省耕地利用效率非均衡程度整体呈下降态势,除大小兴安岭地区的非均衡程度略有加深外,其他三大区域的耕地利用效率空间非均衡程度正在不断弱化,组内差异缩小是促使黑龙江省耕地利用效率走向均衡的主要动因。(3)Markov链分析与预测结果表明,短期内黑龙江省耕地利用效率仍然表现为不同类型间流动性低且转移多发生在相邻状态,实现跨越式转移较困难。
Based on the calculation of the arable land use efficiency of county scale in Heilongjiang Province from 2000 to 2015,the Mookherjee & Shorrocks Gini coefficient and Markov chain analysis method were used to quantitatively characterize the unbalanced characteristics and evolution trend of cultivated land use efficiency.The results showed that:(1)From 2000 to 2015,the utilization efficiency of cultivated land in Heilongjiang Province showed a dynamic trend of"first decline and then rise"and showed the geographical pattern of Songnen Plain>Sanjiang Plain>Xingxing'anling>Two Ridge Mountains,and the non-equilibrium characteristics were obvious.(2)The unbalanced degree of cultivated land use efficiency in Heilongjiang Province showed a downward trend as a whole.Except for the degree of non-equilibrium in the large and small Xing'an Mountains,the spatial imbalance of cultivated land use efficiency in the other three regions was weakening.The narrowing of differences within the group was to promote Heilongjiang.The main motivation for the equilibrium of cultivated land used efficiency in the province.(3)Markov chain analysis and prediction results showed that in the short term,the efficiency of cultivated Heilongjiang Province still showed that the mobility between different types would be low and the transfer occurred mostly in the adjacent state,and it would be difficult to achieve leapfrogging.
Based on the calculation of the arable land use efficiency of county scale in Heilongjiang Province from 2000 to 2015,the Mookherjee & Shorrocks Gini coefficient and Markov chain analysis method were used to quantitatively characterize the unbalanced characteristics and evolution trend of cultivated land use efficiency.The results showed that:(1)From 2000 to 2015,the utilization efficiency of cultivated land in Heilongjiang Province showed a dynamic trend of"first decline and then rise"and showed the geographical pattern of Songnen Plain>Sanjiang Plain>Xingxing'anling>Two Ridge Mountains,and the non-equilibrium characteristics were obvious.(2)The unbalanced degree of cultivated land use efficiency in Heilongjiang Province showed a downward trend as a whole.Except for the degree of non-equilibrium in the large and small Xing'an Mountains,the spatial imbalance of cultivated land use efficiency in the other three regions was weakening.The narrowing of differences within the group was to promote Heilongjiang.The main motivation for the equilibrium of cultivated land used efficiency in the province.(3)Markov chain analysis and prediction results showed that in the short term,the efficiency of cultivated Heilongjiang Province still showed that the mobility between different types would be low and the transfer occurred mostly in the adjacent state,and it would be difficult to achieve leapfrogging.
引文
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[17]王良健,李辉.中国耕地利用效率及其影响因素的区域差异——基于281个市的面板数据与随机前沿生产函数方法[J].地理研究,2014,33(11)∶1995-2004.
[18]盖兆雪,孙萍,张景奇.环境约束下的粮食主产区耕地利用效率时空演变特征[J].经济地理,2017,37(12)∶163-171.
[19]叶浩,濮励杰.我国耕地利用效率的区域差异及其收敛性研究[J].自然资源学报,2011,26(9)∶1467-1474.
[20]Mookherjee D,Shorrock A.A Decomposition Analysis of the Trend in UK Income Inequality[J].The Economic Journal,1982,92(368)∶886-902.
[21]马志飞,尹上岗,乔文怡,等.中国医疗卫生资源供给水平的空间均衡状态及其时间演变[J].地理科学,2018,38(06)∶869-876.
[22]侯孟阳,姚顺波.中国城市生态效率测定及其时空动态演变[J].中国人口·资源与环境,2018,28(03)∶13-21.
[2]杨勇,邓祥征,李志慧,等.2000—2015年华北平原土地利用变化对粮食生产效率的影响[J].地理研究,2017,36(11)∶2171-2183.
[3]卢新海,匡兵,周敏.城市建设用地利用效率的空间非均衡及影响因素[J].中国人口·资源与环境,2016,26(11)∶45-52.
[4]匡兵,卢新海,韩王景,等.考虑碳排放的粮食主产区耕地利用效率区域差异与变化[J].农业工程学报,2018,34(11)∶1-8.
[5]封永刚,彭珏,邓宗兵,等.面源污染、碳排放双重视角下中国耕地利用效率的时空分异[J].中国人口·资源与环境,2015,25(8)∶18-25.
[6]廖成泉,胡银根,章晓曼.基于四阶段DEA-Tobit的湖北省耕地资源利用效率及其影响因素研究[J].农业现代化研究,2015,36(5)∶876-882.
[7]卢新海,匡兵,李菁.碳排放约束下耕地利用效率的区域差异及其影响因素[J].自然资源学报,2018,33(4)∶657-668.
[8]戴劲,彭文英,连莉,等.基于DEA的东北黑土区耕地利用效率研究——以嫩江县为例[J].干旱区资源与环境,2017,31(6)∶38-43.
[9]罗冲,姜博,张文琦,等.东北地区耕地利用效率时空差异及其影响因素分析[J].中国农业资源与区划,2017,38(10)∶38-44.
[10]刘玉海,张丽.耕地生产率与全要素耕地利用效率——基于SBMDEA方法的省际数据比较[J].农业技术经济,2012,(6)∶47-56.
[11]张荣天,焦华富.中国省际耕地利用效率时空格局分异与机制分析[J].农业工程学报,2015,31(2)∶277-287.
[12]杨州,陈万旭,朱丽君.河南省城镇化对耕地利用效率影响的空间计量分析[J].水土保持研究,2018,25(2)∶274-280,287.
[13]张立新,朱道林,谢保鹏,等.中国粮食主产区耕地利用效率时空格局演变及影响因素——基于180个地级市的实证研究[J].资源科学,2017,39(4)∶608-619.
[14]李俏,谷国锋,姚丽,等.黑龙江垦区耕地利用效率变化分析[J].干旱区资源与环境,2016,30(4)∶30-35.
[15]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,(2)∶242-246.
[16]徐秋,雷国平,杨厚翔.黑龙江省耕地利用效率时空差异及影响因素研究[J].中国农业资源与区划,2017,38(12)∶33-40.
[17]王良健,李辉.中国耕地利用效率及其影响因素的区域差异——基于281个市的面板数据与随机前沿生产函数方法[J].地理研究,2014,33(11)∶1995-2004.
[18]盖兆雪,孙萍,张景奇.环境约束下的粮食主产区耕地利用效率时空演变特征[J].经济地理,2017,37(12)∶163-171.
[19]叶浩,濮励杰.我国耕地利用效率的区域差异及其收敛性研究[J].自然资源学报,2011,26(9)∶1467-1474.
[20]Mookherjee D,Shorrock A.A Decomposition Analysis of the Trend in UK Income Inequality[J].The Economic Journal,1982,92(368)∶886-902.
[21]马志飞,尹上岗,乔文怡,等.中国医疗卫生资源供给水平的空间均衡状态及其时间演变[J].地理科学,2018,38(06)∶869-876.
[22]侯孟阳,姚顺波.中国城市生态效率测定及其时空动态演变[J].中国人口·资源与环境,2018,28(03)∶13-21.