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甘肃省虚拟耕地价值及隐性补偿流失
引用本文:裴银宝,刘小鹏,李永红,韩文文,安琼.甘肃省虚拟耕地价值及隐性补偿流失[J].水土保持通报,2015,35(4):122-127,131.
作者姓名:裴银宝  刘小鹏  李永红  韩文文  安琼
作者单位:宁夏大学资源环境学院, 宁夏银川 750021;宁夏大学资源环境学院, 宁夏银川 750021;宁夏大学资源环境学院, 宁夏银川 750021;宁夏大学资源环境学院, 宁夏银川 750021;宁夏大学资源环境学院, 宁夏银川 750021
基金项目:国家自然科学基金项目"宁夏六盘山区空间贫困及其分异机制研究"(41261021)
摘    要:目的]探究甘肃省市域虚拟耕地价值量与隐性补偿流失的空间特征,为明确甘肃省各州市农用地征地补偿标准的合理性及隐性补偿流失现状提供科学依据。方法]运用收益还原法、替代法、ArcGIS 10自然断点法等方法,对2012年甘肃省市域的虚拟耕地价值与征地隐性补偿流失率进行核算和空间分析。结果](1)甘肃省虚拟耕地单位价值总量以低值和中值区为主,低值区市域比重为35.71%,中值区为42.86%。(2)甘肃省隐性补偿流失率以高值区为主,高值区市域比重达到50.00%。(3)虚拟耕地单位价值总量与隐性补偿流失率低值区交叠率达到66.67%,中值区为33.33%,高值区为42.86%。值区交叠率较高,空间相关性分布较强。(4)产能、资源与生态虚拟耕地单位价值市域比重以低值和高值区为主,低值区分别占42.86%,35.71%和42.86%;高值区分别为35.71%,28.57%和42.86%。结论]甘肃省虚拟耕地单位价值总量供给能力不足,隐性补偿流失率较高,产能、资源与生态虚拟耕地单位价值整体呈现西高东低的分布格局。

关 键 词:虚拟耕地  价值核算  隐性补偿流失率  甘肃省
收稿时间:2014/11/12 0:00:00
修稿时间:2014/11/25 0:00:00

Value and Invisible Compensation Loss of Virtual Cropland in Gansu Province
PEI Yinbao,LIU Xiaopeng,LI Yonghong,HAN Wenwen and AN Qiong.Value and Invisible Compensation Loss of Virtual Cropland in Gansu Province[J].Bulletin of Soil and Water Conservation,2015,35(4):122-127,131.
Authors:PEI Yinbao  LIU Xiaopeng  LI Yonghong  HAN Wenwen and AN Qiong
Institution:College of Resources and Environment, Ningxia University, Yinchuan, Ningxia 750021, China;College of Resources and Environment, Ningxia University, Yinchuan, Ningxia 750021, China;College of Resources and Environment, Ningxia University, Yinchuan, Ningxia 750021, China;College of Resources and Environment, Ningxia University, Yinchuan, Ningxia 750021, China;College of Resources and Environment, Ningxia University, Yinchuan, Ningxia 750021, China
Abstract:Objective] The virtual cropland value of ubran areas of Gansu Province was accounted; and the spatial characteristics of invisible compensation loss rate was presented in order to definite two issues concered with the comppensation criterion of land expropriation and the situation of invisable compensation carried out at present around ubran areas of Gansu Province. Methods] Income estimation approach, alternative method and ArcGIS10-based natural breakpoint method were utilized to compute and visualize the virtual cropland value and invisible compensation loss rate in Gansu Province in 2012. Results] (1) Districts estimated with low and middle unit virtual value(per hectare) croplands covered the most parts of Gansu Province. The coverage were 35.71% and 42.86%, respectively; (2) Invisible compensation loss rate was mainly conducted at districts with high virtual value. The districts taked up 50.00% of the invisable compensation area; (3) Most districts with low, middle and high virtual values overlapped with the low, middle and high loss rates of invisible compensation. The overlapped areas were 66.67%, 33.33% and 42.86%, respectively. The high overlap showed that the distribution of them was positive correlated; (4) Districts of productivity, resource and ecology accounted with low and high unit virtual value(per hectare) covered largely in Gansu Province. The low valued districts coverged 42.86%, 35.71% and 42.86%; the high valued districts were 35.71%, 28.57% and 42.86%, respectively. Conclusion] The total virtual ecology values conducted at presnet was small so that it need to be replenished and subsequently the invisible compensation loss rate was relativly high; districts of the unit virtual values of productivity, resource and cropland had the low value at east and high value at the west aorund the province.
Keywords:virtual cropland  value computation  invisible compensation loss rate  Gansu Province
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