巴西农业部政府间合同的描述性分析

Daniel Soares de Souza, Paulo Henrique Santos, Cassiomar Rodrigues Lopes, Lucas Santos de Oliveira, Geraldo Andrade de Oliveira, Alan Keller Gomes, Márcio Dias Lima, K.A. Batista
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引用次数: 0

摘要

审查用于购买农业机械和设备的政府间合同是了解各级政府之间资源分配和伙伴关系的重要策略。本研究调查了巴西农业和畜牧业部(MAPA)与各市之间的这些政府间合同,采用了描述性研究方法,分析了巴西农业和畜牧业部按地区分组向各州转移资金的数据。在 2020 年至 2022 年期间,自愿转移明显增加,这凸显了在该时间段内进行背景分析以获得更可靠推论的重要性。研究采用了平均值、中位数、标准差和变异系数等概括性测量方法,以及偏度和峰度等形状测量方法,应用于三个定量变量。这些测量方法提供了资金数额分布的概况,揭示了中心趋势和分散情况。条形图直观地显示了各州的转账比例,强调了转账在全国各地区的分布情况。皮尔逊线性相关分析表明,政府间合同的执行年份与平均规范化转账金额之间存在较强的正相关关系。我们承认,相对较短的时间框架是本分析的局限性。因此,我们建议制定更深入的研究议程,探讨农业领域的政府间合同,考虑其社会经济意义和对公共政策的影响。
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Descriptive analysis of intergovernmental contracts in the Brazilian Agriculture Ministry
The examination of intergovernmental contracts for acquiring agricultural machinery and equipment is a crucial strategy for comprehending resource distribution and partnerships across different levels of government. This study investigates these intergovernmental contracts between the Brazilian Ministry of Agriculture and Livestock (MAPA) and various municipalities, employing descriptive research and analyzing data on financial transfers from MAPA to states grouped by region. Over the period from 2020 to 2022, there was a noticeable increase in voluntary transfers, underscoring the significance of contextualized analyses for more robust inferences within this timeframe. The research employs summary measures such as mean, median, standard deviation, and coefficient of variation, as well as shape measures such as skewness and kurtosis, applied to three quantitative variables. These measures offer an overview of the distribution of financial amounts, revealing central tendencies and dispersions. Bar graphs visually represent the proportions of transfers by state, emphasizing the distribution of transfers across the country’s regions. Pearson’s linear correlation reveals a moderately strong and positive correlation between the years when intergovernmental contracts were executed and the average normalized transfer amounts. The relatively short timeframe is acknowledged as a limitation of this analysis. Hence, we recommend a more in-depth research agenda to explore intergovernmental contracts in the field of agriculture, considering their socioeconomic implications and impact on public policies.
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