Trend analysis of production dynamics agricultural products

О. Kostyshyn, L. Dudych
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Abstract

The research is devoted to the trend analysis of the dynamics of production in agricultural sectors as a tool for forming an optimal program of their functioning in order to establish trends and forecast their further development, as well as to evaluate the method of trend analysis in relation to the scope of its application in the research of agricultural sectors. It is substantiated that the forecasting of economic indicators is possible along trend lines, if their parameters, in particular the approximation coefficient R2 and the correlation coefficient R ensure the necessary reliability of the forecast data. An assessment of the possibility and expediency of applying the technique of horizontal analysis - trend analysis and selection of a trend line was carried out. It was established that when studying the economic indicators of the Lviv region, such as the production of all agricultural products and plant products, the correlation coefficient provides such reliability (1 ≤ R ≥ 0.95), but for the livestock industry, it does not (R=0.56 ). When studying the economic indicators of the crop industry as a whole in Ukraine, such as the production of rapeseed (R=0.74), soybean (R=0.67) and wheat (R=0.48), it was established that the corresponding correlation coefficients do not provide the necessary reliability for forecasting trend lines for the economic forecast of the development of agricultural industries.
农产品生产动态趋势分析
该研究致力于对农业部门的生产动态进行趋势分析,作为形成其功能的最佳计划的工具,以确定趋势和预测其进一步发展,并评估趋势分析方法在农业部门研究中的应用范围。证明了如果经济指标的参数,特别是逼近系数R2和相关系数R能够保证预测数据的必要可靠性,那么经济指标沿着趋势线进行预测是可能的。对应用水平分析技术——趋势分析和选择趋势线的可行性和方便性进行了评价。研究发现,在研究利沃夫地区所有农产品和植物产品的生产等经济指标时,相关系数具有这样的信度(1≤R≥0.95),但对于畜牧业,相关系数不具有这样的信度(R=0.56)。通过对乌克兰作物产业整体经济指标的研究,如油菜籽(R=0.74)、大豆(R=0.67)和小麦(R=0.48)的产量,确定了相应的相关系数不能为农业产业发展的经济预测提供预测趋势线所需的信度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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