Assessment of opportunities for the development of organic agriculture in municipal areas

I. V. Palatkin, A. Pavlov, A. Kudryavtsev
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Abstract

Purpose:  of the research is to develop a methodology for assessing the development opportunities of organic agriculture in municipal areas based on their clustering.Methods: within the framework of the study, methods of comparing averages, grouping, clustering based on Kohonen's self-organizing neural network were used. The study was conducted on the materials of the Penza region, the complex of analyzed indicators was formed on the basis of official statistical data on municipal districts of the region. The applied approach assumes the possibility of carrying out similar calculations based on the materials from other subjects of the Russian Federation.Results:  the study proposes a system of indicators characterizing the development potential of the production of certain types of organic agricultural products on the territory of municipal districts. Clustering of districts was carried out, as a result, 6 clusters were identified, characterized by various combinations of the values of the analyzed factors. The characteristics of each cluster in terms of opportunities for the development of organic agriculture are given. The areas of activity with the best potential are indicated, as well as the main unfavorable factors. 2 clusters have been identified that can be considered as pilot ones for the implementation of the regional program for the development of organic agriculture.Conclusions and Relevance: at the initial stage of the development of the organic production sector, it is important to identify growth points, types of agricultural activities in certain areas that may be the most promising within the framework of the introduction of the principles of organic farming. Given the diversity and high variability of the values of indicators that determine the potential for the development of organic agriculture in individual territories, clustering can be an effective method that allows differentiating and increasing the targeting of state support measures for the relevant producers. The application of efforts for the development of organic agriculture, taking into account the peculiarities of the formed clusters, will be more effective.
评估市镇地区发展有机农业的机遇
方法:在研究框架内使用了基于 Kohonen 自组织神经网络的平均值比较、分组和聚类方法。研究以奔萨州的材料为基础,分析指标的综合体是在该州各市县官方统计数据的基础上形成的。研究结果:本研究提出了一套指标体系,用以表征市辖区内特定类型有机农产品生产的发展潜力。对各地区进行了分组,结果确定了 6 个分组,其特点是所分析因素的不同组合值。每个群组在有机农业发展机会方面的特点都已给出。指出了最有潜力的活动领域以及主要的不利因素。结论和现实意义:在有机生产部门发展的初始阶段,必须确定某些地区的增长点和农业活动 类型,它们可能是在引入有机农业原则框架内最有前景的活动。鉴于确定各地区有机农业发展潜力的指标值的多样性和高度可变性,分组可以是一种有效的方法,可以区分和增加国家对相关生产者支持措施的针对性。考虑到已形成的集群的特殊性,发展有机农业的努力将更加有效。
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