ЕКОНОМЕТРИЧНИЙ АНАЛІЗ РОЗВИТКУ РОСЛИННИЦТВА НА ХАРКІВЩИНІ У 1995–2017 РР.
Journal Title: Вісник Харківського національного аграрного університету ім. В.В. Докучаєва Серія “Економічні науки” - Year 2018, Vol 1, Issue 1
Abstract
N.V. Shulga , L.V. Piddubna Econometric analysis of crop development in Kharkiv region during 1995-2017. The analysis of the development of the main branches of plant growing in the Kharkiv region during 1995 - 2017 have been carried out in the article. Initially, the authors study the dynamics of changes in the crop area of agricultural crops. The results of the analysis indicate that the largest areas are planted with grain and legume crops, the second place is sunflower, and the third place is occupied by fodder crops. Regression models reflecting the change in the area planted with grain crops and sunflower have a tendency to increase. While the areas on which sugar beet, potatoes and forage crops are grown are gradually decreasing. Grain and leguminous crops occupy the first place in terms of production in the Kharkiv region, followed by production of sugar beet and potatoes, sunflower and vegetable crops, and the least grow fruit and berry crops. Analysis of statistical data shows that the yield of sugar beet is the highest of the represented categories of plant growing, the next position is occupied by vegetable crops and potatoes, rather low yields in fruit and berries, as well as grain and leguminous crops, the lowest yield in sunflower. At the same time, regression models reflect changes in the yield of grain and leguminous crops, sugar beet, sunflower. potatoes, as well as vegetable crops during 1995-2017 show a tendency to increase this indicator. The authors emphasize that due to the unstable socio-economic situation in Ukraine, significant deviations of statistical data from the average of the sample are observed. This may make it impossible to use regression analysis to study the dynamics of economic phenomena and processes. Key words: plant growing, Kharkiv region, agricultural production, statistical analysis, regression analysis
Authors and Affiliations
Н. В. Шульга, Л. В. Піддубна
Keywords
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- EP ID EP330472
- DOI 10.31359/2312-3427-2018-1-154
- Views 125
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