Stoicea Paula, Tudor Valentina Constanța, Stoian Elena, M. Mihai, Soare Elena, Militaru Dan Ciprian
{"title":"Subsidies’ Impacts on Technical–Economic Indicators in Large Crop Farms","authors":"Stoicea Paula, Tudor Valentina Constanța, Stoian Elena, M. Mihai, Soare Elena, Militaru Dan Ciprian","doi":"10.3390/agriculture13091712","DOIUrl":null,"url":null,"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.","PeriodicalId":48587,"journal":{"name":"Agriculture-Basel","volume":"1 1","pages":""},"PeriodicalIF":3.3000,"publicationDate":"2023-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Agriculture-Basel","FirstCategoryId":"97","ListUrlMain":"https://doi.org/10.3390/agriculture13091712","RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AGRONOMY","Score":null,"Total":0}
引用次数: 0
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.
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.