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中国土地整治资金在省际间分配及土地整治效果
引用本文:金晓斌,丁 宁,张志宏,周寅康,杨悉廉.中国土地整治资金在省际间分配及土地整治效果[J].农业工程学报,2012,28(16):1-9.
作者姓名:金晓斌  丁 宁  张志宏  周寅康  杨悉廉
作者单位:1. 南京大学地理与海洋科学学院,南京210093
2. 中国土地勘测规划院,北京100029
基金项目:国土资源部公益性行业科研专项(201011016)
摘    要:为研究不同资金分配目标下中央分成新增建设用地土地有偿使用费(简称中央分成"新增费")省际分配方案对土地整治效果的影响,该文在分析"新增费"分配使用目标的基础上,对中央分成"新增费"省际分配方案进行了优化设计,建立了反映中央分成"新增费"分配数额与土地整治效益动态变化关系的BP神经网络模型,对不同中央分成"新增费"分配方案下的土地整治效益进行预期分析。研究结果表明:在不同分配目标下,相关因素对中央分成"新增费"分配效率的影响有显著差异,因素选取及权重确定应按照不同分配目标进行灵活设定。研究结果表明,同一中央分成"新增费"分配目标下,中央分成"新增费"产生的土地整治效益中,社会效益最高,经济效益次之,生态效益最弱;同一类型的土地整治效益由高到低依次为综合效率目标、土地利用效率目标、耕地保护目标、资源优化配置与公平目标;不同省份的土地整治效果根据不同的分配目标和土地整治的效益变化各异,但经优化设计后,整体上效益值呈现增长的比例较高,显示出中央分成"新增费"分配方案经优化设计后,土地整治效益得到增强。

关 键 词:土地利用  神经网络  优化  设计  新增费  土地整治效果
收稿时间:2012/4/23 0:00:00
修稿时间:2012/7/14 0:00:00

Inter-provincial allocation of land consolidation fund and effects of land consolidation in China
Jin Xiaobin,Ding Ning,Zhang Zhihong,Zhou Yinkang and Yang Xilian.Inter-provincial allocation of land consolidation fund and effects of land consolidation in China[J].Transactions of the Chinese Society of Agricultural Engineering,2012,28(16):1-9.
Authors:Jin Xiaobin  Ding Ning  Zhang Zhihong  Zhou Yinkang and Yang Xilian
Institution:1(1.School of Geography and Ocean Sciences,Nanjing University,Nanjing 210093,China;2.China Land Surveying and Planning Institute,Beijing 100029,China)
Abstract:In order to research the effect of inter-provincial distribution scheme of new construction land compensation fee by the central government(CGNCOCF)on land consolidation under different goals of fund allocation,based on analysis of the allocation and using objective of new construction land compensation fee(NCOCF),the inter-provincial distribution scheme of new construction land compensation fee by the central government was optimized.A BP neural network model was built to reflect the relationship between the distribution amount of CGNCOCF and dynamic change of land consolidation efficiency,and land consolidation expected efficiency under the different allocation scheme of CGNCOCF was simulated.The results showed that the related factors had significant effect on the allocation efficiency of CGNCOCF at different allocation goals,and selection of the factors and determination of weights should be set up flexibly according to the different allocation targets.The main conclusions of this paper were that at the same distribution target of CPNCOCF,the social benefit was the highest among the land consolidation efficiencies that the CGNCOCF generated,economic benefit was the higher,and the ecological benefit was the lowest.The excepted benefits of allocation scheme of CGNCOCF arranged from high to low as:the comprehensive efficiency goals,land use efficiency targets,and cultivated land protection objective,resource allocation and fair target.The distribution of the fee under comprehensive efficiency targets was the optimal scheme.The land consolidation benefits of each province were different according to different distribution target of CGNCOCF and benefits of land consolidation target,but overall the growth ratio of benefit value was higher compared to reality after optimizing,which showed that the land consolidation benefits increased after the optimization of CGNCOCF.
Keywords:land use  neural networks  optimization  designs  new construction land compensation fee  land consolidation's expected benefit
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