Improvement of Crop Production Planning in Ukraine Using the Cobb-Douglas Production Function

Yana Dolgikh
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Abstract

The relevance of the study is conditioned by the need to improve the process of planning the crop production by agricultural enterprises of Ukraine through the construction of a functional relationship between the results of production activities of enterprises and the factors that determine these results. The purpose of the study is to improve the process of planning crop production by agricultural enterprises of Ukraine through the development of an econometric model in the form of a Cobb-Douglas production function. To model the processes of crop production, it is proposed to use the Cobb-Douglas production function, which describes the dependence of the crop production index on the indices of agricultural land acreage and labour productivity. Based on statistical information for 1996-2020, unknown parameters of the Cobb-Douglas production function were found by regression analysis. The high quality of the constructed model is substantiated. High predictive properties of the model are proved. To analyse the efficiency of resource use in crop production by agricultural enterprises, the coefficients of average, marginal products of labour and capital are calculated. The sensitivity of crop production to changes in crop areas and labour productivity is investigated. It is determined that if the index of agricultural areas is increased by 1%, the index of crop production will increase by 0.77%; and if the index of labour productivity is increased by 1%, the index of crop production will increase by 0.81%. An increasing return on the scale of resources spent is revealed, which indicates an increase in production volumes with an increase in the volume of resources in the crop production industry.
利用柯布-道格拉斯生产函数改进乌克兰作物生产计划
该研究的相关性取决于需要通过构建企业生产活动的结果与决定这些结果的因素之间的函数关系来改进乌克兰农业企业规划作物生产的过程。本研究的目的是通过发展柯布-道格拉斯生产函数形式的计量经济模型来改善乌克兰农业企业规划作物生产的过程。为了对作物生产过程进行建模,提出使用柯布-道格拉斯生产函数,该函数描述了作物生产指数对农业用地面积指数和劳动生产率指数的依赖关系。根据1996-2020年的统计信息,通过回归分析发现了Cobb-Douglas生产函数的未知参数。所构建模型的高质量得到了证实。证明了该模型具有较高的预测性能。为了分析农业企业在作物生产中的资源利用效率,计算了平均、边际劳动产品系数和资本产品系数。研究了作物生产对作物面积和劳动生产率变化的敏感性。确定农业面积指数每增加1%,作物生产指数将增加0.77%;劳动生产率指数每提高1%,粮食生产指数将提高0.81%。所花费的资源规模的回报不断增加,这表明产量随着作物生产工业中资源数量的增加而增加。
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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