Geographical developmental specificities of aggregative resource potential of farm economies of Ukraine throughout 2011–2017

IF 0.5 Q3 GEOGRAPHY
V. Rudenko, M. Zayachuk, S. Rudenko
{"title":"Geographical developmental specificities of aggregative resource potential of farm economies of Ukraine throughout 2011–2017","authors":"V. Rudenko, M. Zayachuk, S. Rudenko","doi":"10.33542/gc2022-1-01","DOIUrl":null,"url":null,"abstract":"The study focuses on the analysis of geographical developmental specificities of the potential of Ukrainian farm economies over seven years period (2011–2017). We assessed the average annual cost estimate of interconnected labor, material, and land resources that form the aggregative potential for the development of farms in Ukraine. Labor, material, and land resources were assessed through the cost estimate (money value). The cost of a commodity is defined as social labor embodied in the same. The cost is measured by money. Hence, money estimates are labor estimates. Labor resources and the units of labor produced by an average annual farm employe were counted through the labor’s funds analog, that is, through the annual totality of employees’ wages divided by the normative coefficient of efficiency of capital investments. Agricultural machinery, i.e., tractors, combine harvesters, corn harvesters, forage harvesters, seeders, windrowers, etc., available on farms in 2011–2017, were the basis for the assessment of material resources (capital assets). Bringing non-recurring (capital) costs to a per-year basis (to be comparable with other resources) was carried out by way of counting percentages of the current production assets following their established efficiency standard (0.15). Estimation of land resources based on natural productivity of Ukrainian lands, that is, on crop capacity gained on condition that crop rotation, was observed. The range of works on the mechanical treatment of arable land was applied, and no fertilizers were added. The Ukrainian farms’ aggregative resource potential was presented as a sum of the potentials of labor, material, and land resources. According to our calculations, the aggregative potential throughout 2011–2017 was 52 019 million hryvnias, or 2 771 million euros.","PeriodicalId":42446,"journal":{"name":"Geographia Cassoviensis","volume":"1 1","pages":""},"PeriodicalIF":0.5000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Geographia Cassoviensis","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.33542/gc2022-1-01","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"GEOGRAPHY","Score":null,"Total":0}
引用次数: 0

Abstract

The study focuses on the analysis of geographical developmental specificities of the potential of Ukrainian farm economies over seven years period (2011–2017). We assessed the average annual cost estimate of interconnected labor, material, and land resources that form the aggregative potential for the development of farms in Ukraine. Labor, material, and land resources were assessed through the cost estimate (money value). The cost of a commodity is defined as social labor embodied in the same. The cost is measured by money. Hence, money estimates are labor estimates. Labor resources and the units of labor produced by an average annual farm employe were counted through the labor’s funds analog, that is, through the annual totality of employees’ wages divided by the normative coefficient of efficiency of capital investments. Agricultural machinery, i.e., tractors, combine harvesters, corn harvesters, forage harvesters, seeders, windrowers, etc., available on farms in 2011–2017, were the basis for the assessment of material resources (capital assets). Bringing non-recurring (capital) costs to a per-year basis (to be comparable with other resources) was carried out by way of counting percentages of the current production assets following their established efficiency standard (0.15). Estimation of land resources based on natural productivity of Ukrainian lands, that is, on crop capacity gained on condition that crop rotation, was observed. The range of works on the mechanical treatment of arable land was applied, and no fertilizers were added. The Ukrainian farms’ aggregative resource potential was presented as a sum of the potentials of labor, material, and land resources. According to our calculations, the aggregative potential throughout 2011–2017 was 52 019 million hryvnias, or 2 771 million euros.
2011-2017年乌克兰农业经济总资源潜力的地理发展特征
该研究侧重于分析乌克兰农业经济潜力的地理发展特征,为期7年(2011-2017年)。我们评估了相互关联的劳动力、材料和土地资源的平均年成本估算,这些资源构成了乌克兰农场发展的总体潜力。通过成本估算(货币价值)对劳动力、材料和土地资源进行评估。一种商品的成本被定义为体现在这种商品上的社会劳动。成本是用金钱来衡量的。因此,资金估算就是劳动力估算。劳动力资源和平均每年农场雇员生产的劳动单位是通过劳动力资金类比来计算的,即通过雇员的年工资总额除以资本投资效率的规范系数。2011-2017年农场可用的农业机械,即拖拉机、联合收割机、玉米收割机、饲草收割机、播种机、打风机等,是评估物质资源(资本资产)的基础。按照既定的效率标准(0.15)计算当前生产资产的百分比,将非经常性(资本)成本以每年为基础(与其他资源进行比较)。根据乌克兰土地的自然生产力,即在轮作条件下获得的作物能力,对土地资源进行了估计。对耕地进行了机械处理,没有施肥。乌克兰农场的综合资源潜力是劳动力、物质和土地资源潜力的总和。根据我们的计算,2011-2017年的总潜力为520.19亿格里夫纳,即27.71亿欧元。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
0.80
自引率
0.00%
发文量
4
期刊介绍: Geographia Cassoviensis is a biannual peer-reviewed journal published by the Pavol Jozef Šafárik University in Košice since 2007. It is available both in print and open-access electronic version. The journal publishes original research articles from Geography and other closely-related research fields. Since 2016 the journal is indexed in SCOPUS and ERIH PLUS - European Reference Index for Humanities and Social Sciences, and since 2017 also in Emerging Sources Citation Index by Clarivate Analytics.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信