Subsidies’ Impacts on Technical–Economic Indicators in Large Crop Farms

IF 3.3 2区 农林科学 Q1 AGRONOMY
Stoicea Paula, Tudor Valentina Constanța, Stoian Elena, M. Mihai, Soare Elena, Militaru Dan Ciprian
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Abstract

The objective of the analysis is to quantify the impact of subsidies on the activity of two large farms of 600 ha and 3000 ha, respectively. The innovative solution from this analysis is to create a model that can be used at the macroeconomic level, showing the possible ways in which these large farms can secure their incomes. To study the use of these subsidies, the methods of technical–economic analysis, economic–financial analysis and statistical analysis of the data were used. Descriptive statistics, visual inspection and basic comparative methods were used to determine the statistical patterns of subsidy impact and variation for each crop. In this context, this is evidence of the possibility of probable expansion of crop income and profitability. The results were different for the two arable farms studied. The results for the 600 ha arable farm suggested that the statistical model was inconclusive due to the annual adjustment of the cropping plan and the impossibility of making viable forecasts, especially since the ecological performance fluctuated (in 2020 the farm was on the verge of profitability), although the positive impact of subsidies was evident in loss-making years. For the 3000 ha arable farm, the statistical model was relevant because it highlighted crops (corn and soybeans) that consistently contributed to good and increasing income and economic performance, as well as highlighting the significant impact of subsidies. The conclusions of the study emphasize the indispensability of subsidies for large farms and the contribution of crops to income generation. These conclusions provide a valuable source of information for relevant policy decisions and can guide future research aiming to increase the profitability of these farms and allocate resources appropriately and efficiently in the agricultural sector.
补贴对大农场技术经济指标的影响
分析的目的是量化补贴对分别为600公顷和3000公顷的两个大型农场活动的影响。从这一分析中得出的创新解决方案是创建一个可以在宏观经济层面上使用的模型,显示这些大型农场可以确保其收入的可能方法。采用技术经济分析、经济财政分析和数据统计分析等方法对补贴的使用情况进行了研究。采用描述性统计、目视检查和基本比较法确定了每种作物补贴影响和变化的统计模式。在这种情况下,这是可能扩大作物收入和盈利能力的证据。研究的两个耕地的结果是不同的。对600公顷耕地农场的结果表明,尽管补贴的积极影响在亏损年份很明显,但由于种植计划的年度调整和不可能做出可行的预测,特别是由于生态绩效波动(2020年农场处于盈利边缘),统计模型是不确定的。对于3000公顷的可耕种农场,统计模型是相关的,因为它突出了持续贡献良好和不断增长的收入和经济表现的作物(玉米和大豆),并突出了补贴的重大影响。这项研究的结论强调了对大农场提供补贴的必要性以及作物对创收的贡献。这些结论为相关政策决策提供了宝贵的信息来源,并可以指导未来的研究,旨在提高这些农场的盈利能力,并在农业部门适当有效地分配资源。
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来源期刊
Agriculture-Basel
Agriculture-Basel Agricultural and Biological Sciences-Food Science
CiteScore
4.90
自引率
13.90%
发文量
1793
审稿时长
11 weeks
期刊介绍: Agriculture (ISSN 2077-0472) is an international and cross-disciplinary scholarly and scientific open access journal on the science of cultivating the soil, growing, harvesting crops, and raising livestock. We will aim to look at production, processing, marketing and use of foods, fibers, plants and animals. The journal Agriculturewill publish reviews, regular research papers, communications and short notes, and there is no restriction on the length of the papers. Our aim is to encourage scientists to publish their experimental and theoretical research in as much detail as possible. Full experimental and/or methodical details must be provided for research articles.
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