农用地退出流转评价体系指标整合机制研究

M. Lytov
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引用次数: 0

摘要

恢复俄罗斯今天的复垦能力是现代农工综合体最紧迫的任务之一。在这方面,研究建议重新发展的填海土地的状况是一项必要、优先和高度多样化的任务。这项研究的目的是制订一种机制,综合反映土地和工程及填海基础设施现状的一整套定性和定量指标,并说明恢复其经济用途的可能性。在执行综合评价指标的机制方面,主要的方法方法是为拟议用于发展的土地的估计系统建立一个集群结构。根据集群内的评价结果,综合得出问题存在的结论,进行解决问题的技术选择,选择必要的工艺参数。建立了有效解决退役复垦土地状况综合指标问题的机制。所提出的机制是基于评价模型的每个聚类中产生的评价向量的三级分级。这种划分使得有可能简化对数据的解释,并在战略一级形成全面知情的判断。这样可以解决定量数据与定性方案指标的比较问题,也简化了后续利用评价模型的所有聚类综合一般结论问题的解决。多层次的评价集群片段构成情景细胞,并以此为基础,综合出特定区域未利用农用地的情景生态模型。综合情景模型包括对土地回归农业循环的技术可行性进行综合评价的所有因素和指标,确定土地环境修复的时机,充实恢复经济活动和恢复失去的复垦功能的经济手段。
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THE MECHANISM OF INTEGRATION OF INDICATORS OF THE SYSTEM FOR ASSESSING RECLAIMED AGRICULTURAL LAND WITHDRAWN FROM CIRCULATION
Restoration of the lost capacities of the reclamation complex of Russia today is one of the most urgent tasks of the modern agro-industrial complex. The study of the condition of the reclaimed lands proposed for re-development in this regard is a necessary, priority and highly diverse task. The purpose of the research was to develop a mechanism for integrating the entire set of qualitative and quantitative indicators characterizing the current state of land and engineering and reclamation infrastructure and giving an idea of the possibility of resuming their economic use. The main methodological approach in terms of the implementation of the mechanism of integration of evaluation indicators was the creation of a cluster structure of the system of estimates of the lands proposed for development. Depending on the results of the assessments within the cluster, a conclusion on the existence of the problem is synthesized, the choice of technologies for its solution is made, the necessary technological parameters are selected. A mechanism has been developed that makes it possible to effectively solve the problem of integrating indicators of the state of decommissioned, reclaimed lands. The proposed mechanism is based on a three-level gradation of the resulting evaluation vector within each of the clusters of the evaluation model. This division makes it possible to simplify the interpretation of data and to form comprehensively informed judgments at the strategic level. Such scaling makes it possible to solve the problem of comparing quantitative data and indicators of a qualitative plan, and also simplifies the solution of the problem of subsequent synthesis of a general conclusion using all clusters of the evaluation model. Multi-level fragments of evaluation clusters make up situational cells, from which, in fact, a situational ecological model is synthesized for a specific area of unused agricultural land. The synthesized situational model includes all factors and indicators for conducting a comprehensive assessment of the technological feasibility of returning land to agricultural circulation, determining the timing of environmental rehabilitation of land, substantiating economic instruments for resuming economic activity and restoring lost reclamation functions.
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