Assessment of the impact of the intensity of agricultural land use on economic efficiency

Alyeksandr Dubovitskiy, El'vira Klimentova
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Abstract

Abstract. The purpose is to assess the impact of the intensity of agricultural land use on the level of their economic efficiency. Methodology and methods. In the course of the study, nonparametric statistical methods were used to identify dependencies in the data set. When constructing predictive models, ROC analysis was used to find the values of the cut off point. Results. The study made it possible to localize three groups of regions of the Russian Federation that differ quite significantly in terms of the intensity of land use and are characterized by a sufficiently high level of dispersion within the groups. The analysis of the interrelations between the parameters characterizing the intensity level allowed us to identify factors that influence economic efficiency: the degree of ploughing of agricultural land, the share of reclaimed land in the area of farmland and the degree of use of arable land, the latter of which has the most significant influence. The ROC analysis regarding the degree of use of arable land as a potential predictive parameter for increasing land yield showed that its threshold value at the cut off point is 63.8 %, above which the maximum values of economic efficiency are achievable. The scientific novelty lies in the formation of the evidence base of the dependence of economic efficiency on the level of intensity of land use, necessary for understanding the mechanisms of formation of rational parameters of land use.
农业用地集约度对经济效益的影响评价
摘要目的是评估农业用地密集度对其经济效率水平的影响。方法论和方法。在研究过程中,使用非参数统计方法来识别数据集中的依赖关系。在构建预测模型时,使用ROC分析来寻找截止点的值。结果。这项研究使俄罗斯联邦的三组区域得以本地化,这三组区域在土地使用的密集度方面差别很大,其特点是在这些区域内的分散程度足够高。通过分析表征强度水平的参数之间的相互关系,我们确定了影响经济效率的因素:农业用地的耕种程度、耕地面积中复垦土地的比例和耕地的利用程度,其中耕地的利用程度影响最大。将耕地利用程度作为土地增产的潜在预测参数进行ROC分析,其临界值在截断点处为63.8%,高于该临界值经济效率达到最大值。科学的新颖性在于形成了经济效率依赖于土地利用集约程度的证据基础,这对于理解土地利用合理参数的形成机制是必要的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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