Algorithm for Selecting Alternative Strategies for Sustainable Intensification of Agricultural Enterprises

S. Strapchuk, Olena Mykolenko
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引用次数: 1

Abstract

Growing food shortage encourage businesses to increase yields, mainly through extensive capacity building. However, this path often leads to a negative impact on the environment and does not consider social issues. Increasing yields requires the implementation of strategies for sustainable agricultural development and intensification of production. Selecting such strategies at the level of agricultural enterprises requires their classification and analysis. The purpose of the study is to group agrarian enterprises in Kharkiv Oblast and identify clusters with high potential for the implementation of alternative strategies for sustainable intensification. Based on the concept proposed by J. Pretty, the study classifies enterprises by the ecological and economic, socio-economic and environmental dimensions on the basis of such factors as crop diversity, depreciation, organic fertiliser application, labour costs, use of mineral fertilisers, fuel materials per hectare of land. Data from 514 agricultural production enterprises in Kharkiv Oblast in 2019 and 510 enterprises in 2020 were used for the categorisation. The data were processed through a cluster analysis method using specialised Microsoft Excel and SPSS21 software. The study presents an algorithm for choosing strategies for sustainable development and sustainable intensification of agricultural enterprises based on cluster analysis. Classification of enterprises by the level of diversity of agricultural crops, application of organic fertilisers, labour costs, application of mineral fertilisers, depreciation level, fuel materials per hectare of land allowed identifying agricultural enterprises that have the greatest potential to implement sustainable intensification practices from the proposed alternatives. The introduction of integrated pest management tools has been suggested for companies that consume significant amounts of mineral fertilisers and fuels and lubricants. The practical significance of the findings lies in providing recommendations for selecting sustainable intensification strategies depending on the level of enterprise yields, the amount of mineral fertiliser and fuel and lubricants used, the diversity of crops, etc
农业企业可持续集约化替代策略选择算法
日益严重的粮食短缺促使企业主要通过广泛的能力建设来提高产量。然而,这条道路往往会导致对环境的负面影响,而不考虑社会问题。提高产量需要实施可持续农业发展和集约化生产战略。在农业企业层面选择此类战略需要对其进行分类和分析。这项研究的目的是对哈尔科夫州的农业企业进行分组,并确定具有执行可持续集约化替代战略潜力的集群。该研究以J. Pretty提出的概念为基础,根据作物多样性、折旧、有机肥施用、劳动力成本、矿物肥料使用、每公顷土地燃料材料等因素,按生态和经济、社会经济和环境维度对企业进行分类。该分类使用了2019年哈尔科夫州514家农业生产企业和2020年510家企业的数据。使用专用的Microsoft Excel和SPSS21软件对数据进行聚类分析。提出了一种基于聚类分析的农业企业可持续发展与可持续集约化战略选择算法。根据农作物的多样性、有机肥的施用、劳动力成本、矿物肥的施用、折旧水平、每公顷土地的燃料材料对企业进行分类,从而确定从拟议的替代方案中最有可能实施可持续集约化做法的农业企业。已建议为消耗大量矿物肥料、燃料和润滑油的公司采用综合虫害管理工具。调查结果的实际意义在于根据企业产量水平、矿物肥料、燃料和润滑油的使用量、作物的多样性等,为选择可持续强化战略提供建议
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