Models of Regression of the Scope of Sown Areas and Purchase Prices of Oil Crops in Serbia

Milanović, Milan R.; Stevanović, Slavica

doi:10.1080/1331677x.2012.11517545

Cited by 2 publications

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“…The reason for this could be partly found in the length of the analysed period, since it is known that the use of cross-correlation gives more reliable results when longer time series are analysed. However, this kind of late dependence cannot be completely ruled out given that Milanović & Stevanović (2012) did find a highly significant correlation between the current purchase prices of soybean and the sowing areas of this crop in the following year (they observed the period 2001-2010, which is even shorter than the period observed in this paper).…”

Section: The Impact Of the Average Annual Purchase Prices On The Harvcontrasting

confidence: 44%

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10.5937/ratpov50-4827 = Interdependence between the harvested areas and purchase prices of soybean

Bošnjak¹,

Ðorić²,

Rodić³

2013

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Summary:One of the most difficult issues of farm management is giving the answer to the question what to produce, i.e. making a decision about the sowing structure. Economic factors and principles play an important role in farmers' decisions about what to grow and on which areas. The purchase price of each crop, including soybeans, is an important but not the only factor of competitiveness. The authors of this paper started from the assumption that the level and trend of soybean purchase prices, among others, affect producers' decision on the growing area for this crop. Therefore, in order to scientifically confirm the initial assumption, an attempt has been made to examine (using appropriate statistical methods) the effect of average soybean purchase prices on the spread of this crop in Serbia.

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Section: The Impact Of the Average Annual Purchase Prices On The Harvcontrasting

confidence: 44%

“…Among other numerous economic factors, prices and their ratios are of particular importance (Birovljev 2001, Vlahović 2003, Milanović 1996, Milanović & Stevanović 2012.…”

Section: Introductionmentioning

confidence: 99%

10.5937/ratpov50-4827 = Interdependence between the harvested areas and purchase prices of soybean

Bošnjak¹,

Ðorić²,

Rodić³

2013

Ratar i povrt

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An Innovative Component in Generating Efficiency of Sunflower Production

Shyian

Ulianchenko

Honcharova

2021

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The introductory part emphasizes that since 2004, Ukrainian agriculture has gradually begun to crank up production. This is largely associated with the growth of crop production, including sunflower. During 2004–2020, gross sunflower yield increased by 3.1 times, and yield capacity – more than double. Research methods involve grouping a complex of agricultural enterprises following the cost value per 1 ha of the sown area and sunflower yield. To classify the enterprises according to the level of innovative production, the authors have put forward a method for determining the coefficient of innovation. The object of the study comprises the agricultural enterprises of Kharkiv region. The results of grouping following yield rate have made it possible to establish a direct dependence between the cost value and sunflower yield. In a group of enterprises with an average yield of up to 15 centners/ha, costs amounted to 9653 UAH / ha; in a group with a yield of 25.1–30 centners/ha – 14860 UAH/ha; with a yield of more than 45 centners/ha – 27518 UAH/ha. It has also been found that an increase in the rate of sunflower yield by 1 centner leads to an average profit increase of 307.9 UAH/ha. The grouping of enterprises by the level of costs per 1 sown area of sunflower has made it possible to assume that the nature of the relationship of a grouping indicator with profit margin is characterized by a nonlinear function. It has been determined that this function has a maximum when the cost increases by 16960 UAH/ha and the amount of profit – by 6199 UAH/ha. The paper has also marked that under such cost value, the value of sunflower yield should be equal to 29.8 centners/ha. The practical approval of the methodological approach to determining the coefficient of innovative development of sunflower production has shown that this indicator objectively conveys the rate of use of innovations in the manufacturing process. Enterprises that had a coefficient of innovative development above 1 were characterized by a much higher level of yield, profitability, and production intensity.

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Models of Regression of the Scope of Sown Areas and Purchase Prices of Oil Crops in Serbia

Cited by 2 publications

References 1 publication

10.5937/ratpov50-4827 = Interdependence between the harvested areas and purchase prices of soybean

10.5937/ratpov50-4827 = Interdependence between the harvested areas and purchase prices of soybean

An Innovative Component in Generating Efficiency of Sunflower Production

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