[1]WANG Jianping,YU Dun,SUN Congkang,et al.Utilization Efficiency of Agricultural Land Under the Background of Rural Revitalization[J].Research of Soil and Water Conservation,2021,28(01):337-344.
Copy
Utilization Efficiency of Agricultural Land Under the Background of Rural Revitalization
Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume:
28
Number of periods:
2021 01
Page number:
337-344
Column:
Public date:
2021-01-10
- Title:
- Utilization Efficiency of Agricultural Land Under the Background of Rural Revitalization
- Keywords:
- agricultural land use efficiency; super-efficient SBM model of unexpected output; Tobit model; Jinxian County
- CLC:
- F301.2
- DOI:
- -
- Abstract:
- How to make the limited input of agricultural land resources get the maximum output of production-living-ecological is one of the focuses under the background of rural revitalization strategy. In this study, township was selected as the research unit, the super efficiency SBM model of unexpected output was used to study the spatial and temporal characteristics of agricultural land use efficiency in the study area, and Tobit model was applied to explore the reasons. The results show that the overall land use efficiency of Jinxian County is at the middle or high level, and the efficiency value of the unexpected output(EE efficiency)is lower than that of the unexpected output(TE efficiency). The spatial variation of agricultural land use efficiency in Jinxian County is large, which is gradually weakened from the north to the south, and shows the phenomenon of geographical distribution and agglomeration. From 2011 to 2017, the focus of agricultural land use efficiency had been on the north of minhe Town with little change. Compared with natural factors, human factors have a greater impact on the efficiency of farmland use in Jinxian County. These results can be used for reference to improve the efficiency of rural land use and rural revitalization.
- References:
-
[1] Liu Y, Li Y. Revitalize the world's countryside[J]. Nature News, 2017,548(7667):275.
[2] 张荣天.长江三角洲农用地效率评价及类型分区[J].农业现代化研究,2014,35(6):769-774.
[3] 黄和平,彭小琳.脱钩视角下城市土地利用效率变化与提升策略:以南昌市为例[J].资源科学,2016,38(3):493-500.
[4] 李方方,王瑷玲,刘凤荣,等.基于主成分分析法和层次分析法的宁阳县农地效益评价及方法比较[J].山东农业大学学报:自然科学版,2015,46(1):69-73.
[5] 周圣杰.基于DEA-Malmquist模型的江汉平原农业生产效率时空分析[D].武汉:华中师范大学,2018.
[6] 方琳,吴凤平,王新华,等.基于共同前沿SBM模型的农业用水效率测度及改善潜力[J].长江流域资源与环境,2018,27(10):2293-2304.
[7] 经阳,叶长盛.基于DEA的江西省耕地利用效率及影响因素分析[J].水土保持研究,2015,22(1):257-261.
[8] Farrell M. The measure of productive efficiency[J]. Journal of the Royal Statistical Society, 1957,120(3):253-281.
[9] 高梦雅,方世明,许基伟.基于DEA模型的武汉郊区农用地利用效率评价[J].湖北农业科学,2017,56(12):2377-2381.
[10] 赵茜宇,张占录.中国县级农地利用效率的变化特征及原因解析[J].中国人口·资源与环境,2019,29(4):77-86.
[11] 金贵,邓祥征,赵晓东,等.2005—2014年长江经济带城市土地利用效率时空格局特征[J].地理学报,2018,73(7):1242-1252.
[12] 成刚.数据包络分析方法与max DEA软件[M].北京:知识产权出版社,2014.
[13] 陈荣.城市土地利用效率论[J].城市规划汇刊,1995(4):28-33.
[14] 李在军,管卫华,臧磊.山东省耕地生产效率及影响因素分析[J].世界地理研究,2013,22(2):167-175.
[15] 吴贤良,刘雨婧,熊鹰,等.湖南省城市土地利用全要素生产率时空演变及影响因素[J].经济地理,2017,37(9):95-101.
[16] 方精云,郭兆迪,朴世龙,等.1981—2000年中国陆地植被碳汇的估算[J].中国科学(D辑:地球科学),2007,37(6):804-812.
[17] 李小康,王晓鸣,华虹.土地利用结构变化对碳排放的影响关系及机理研究[J].生态经济,2018,34(1):14-19.
[18] 李克让.土地利用变化和温室气体净排放与陆地生态系统碳循环[M].武汉:气象出版社,2002.
[19] 余宁.基于DEA的重庆市土地利用效率评价研究[D].重庆:重庆师范大学,2017.
[20] 杨宣.基于DEA方法的湖北省农地利用效率研究[D].武汉:华中师范大学,2011.
[21] 高晓辉.基于DEA方法的农地利用效率差异研究[D].武汉:华中农业大学,2010.
[22] 高旭.太行山贫困区农地利用效率测度与影响因素分析[D].陕西杨凌:西北农林科技大学,2017.
[23] 税丽.长江经济带城市土地利用效率时空差异及影响因素研究[D].成都:四川师范大学,2018.
[24] 李明艳.劳动力转移对区域农地利用效率的影响_基于省级面板数据的计量分析[J].中国土地科学,2011,25(1):62-69.
[25] 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.
[26] 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.
[27] 王鹏瑞.山西省11地级城市农地流转效率差异研究[D].太原:山西财经大学,2018.
[28] 李娜,谢德体,王三.重庆市土地利用结构效率的空间差异与影响因素探析[J].土壤,2018,50(4):803-811.
[29] 王良健,李辉,石川.中国城市土地利用效率及其溢出效应与影响因素[J].地理学报,2015,70(11):1788-1799.
- Similar References:
Memo
-
Last Update:
2021-01-15