PDF Download

[1]JING Yang,YE Changsheng.Analysis on the Cultivated Land Use Efficiency and Its Influencing Factors in Jiangxi Province Based on DEA[J].Research of Soil and Water Conservation,2015,22(01):257-261.

Copy

Analysis on the Cultivated Land Use Efficiency and Its Influencing Factors in Jiangxi Province Based on DEA

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 22 Number of periods: 2015 01 Page number: 257-261 Column: Public date: 2015-02-28

Title:: Analysis on the Cultivated Land Use Efficiency and Its Influencing Factors in Jiangxi Province Based on DEA

Author(s):: JING Yang¹, YE Changsheng^1,2; 1. College of Earth Sciences, East China Institute of Technology, Nanchang 330013, China;
2. Key Laboratory of Poyang Lake Wetland and Watershed Research, Jiangxi Normal University, Ministry of Education, Nanchang 330022, China

Keywords:: Jiangxi Province; cultivated land use efficiency; data envelopment analysis(DEA); Tobit model

CLC:: F301.2

DOI:: -

Abstract:: In order to learn the condition of cultivated land use of Jiangxi Province, this paper studied its cultivated land use efficiency and its influencing factors during 1996—2008 by using the method of DEA, Tobit-regression model and clustering analysis. The result indicates that the average value of comprehensive efficiency of cultivated land use is 0.967 in Jiangxi Province over the past 13 years, and the average value is relatively high. The cultivated land use efficiency of Pingxiang, Ganzhou, Ji’an, Yichun and Fuzhou is better than Xinyu and Yingtan, and 4 efficiency of the 4 cities such as Nanchang, Jingdezhen, Jiujiang, shangrao is relatively low. We can also find that per capita GDP, cultivated cropping density, effectively irrigated area, total mechanical power on unit area have different impacts on cultivated land use efficiency, the impact order is mechanical total power on unit area > cultivated cropping density > effective irrigated area > Per capita GDP. Finally, the results provide scientific basis for improving land use efficiency in Jiangxi Province.

References:: [1] 杨朔,于文海,李世平.基于DEA非有效改进的陕西省耕地生产效率研究[J].中国土地科学,2013,27(10):62-68.
[2] 徐恒周,郭玉燕,吴冠层.农民分化对耕地利用效率的影响:基于农户调查数据的实证分析[J].中国农村经济,2012(6):31-39,47.
[3] 叶浩,濮励杰,张键.我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(4):584-587.
[4] 龙开胜,陈利根,占小林.不同类型土地投入产出效率的比较分析:以江苏省耕地和工业用地为例[J].中国人口·资源与环境,2008(18):174-178.
[5] 俞勇军,陆玉麟.江阴市耕地变化驱动因素及耕地利用效率定量研究[J].经济地理,2002,22(4):440-443.
[6] 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(2):242-246.
[7] 杨朔,李世平.基于DEA-Tobit两步法的耕地利用效率研究:以陕西省为例[C].中国土地学会学术年会论文集.北京:中国大地出版社,2010.
[8] 冯达,段亚锋,李婷婷.基于DEA的湖南省耕地利用效率研究[J].国土资源科技管理,2009,26(3):57-60.
[9] 潘倩红,任大廷.四川省耕地利用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(4):95-97.
[10] 李在军,管卫华,臧磊.山东省耕地利用效率及影响因素分析[J].世界地理研究,2013,22(2):167-175.
[11] 李茗薇,付强,张军生,等.基于DEA的吉林省耕地利用效率及其影响因素研究[J].安徽农业科学,2013,41(8):3682-3684.
[12] 杨丹,叶长盛.基于县域单元的江西省复种指数时空格局分析[J].农业现代研究,2013,34(6):722-727.
[13] 张海英,傅春.江西省经济增长与耕地集约利用的定量分析[J].长江流域资源与环境,2010,19(10):1159-1163.
[14] 罗志军,李芳,周克昊.江西省耕地资源利用效益的数量经济分析[J].江西农业大学学报,2009,8(1):15-19.
[15] 刘平辉,叶长盛,姜勇彪,等.产业发展阶段和耕地利用变化的关系研究:以江西省为例[J].东华理工学院学报:社会科学版,2006,25(4):350-355.
[16] 俞勇军,陆玉麒.江西省耕地变化及保护策略[J].长江流域资源与环境,2004,13(3):234-239.
[17] 唐梦奇,宁爱凤.城市化进程中农户土地利用行为对耕地可持续利用影响研究:基于浙江、江西的调查[J].农业经济,2011(5):68-69.
[18] 康兰媛,张钧,祝小平,等.粮食主产区农户稻作经营行为的调查与分析:基于江西省26县1058户农户调查数据[J].江西农业大学学报:社会科学版,2008,7(3):57-61.
[19] 田涛,许晓春,周可金.安徽省各地市油菜生产效率研究:基于DEA的实证分析[J].农业技术经济,2011(12):46-52.
[20] 周华林,李雪松.Tobit模型估计方法与应用[J].经济学动态,2012(5):105-119.

Similar References:

Memo

Last Update: 1900-01-01