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Subsidies are Potential Sources of Profitable Management – Their Payment Between 2010 and 2016
Published May 2, 2018
97-120

Based on the allocations and distributions of subsidies in the sheep sector in the previous years (2004-2009), the authors examined the sum of aids claimed and paid from 2010 to 2016 and their farm-size related changes. The following data were collected from the Agricultural and Rural Development Institute on payments under specific subsidy tit...les, classified by sheep and goat farm sizes: 0-50; 51-100, 101-200, 201-300 and also 0-100, 101-300, 301-500, 501-1000, 1001-5000 and above 5000. Data procession was carried out by the SPSS for Windows 22 program. The size and population of the examined sheep sector underwent visible changes during the studied years leading to a reduction rather than growth. Their analysis highlights that size distribution of sheep farms has changed significantly in recent years, combined with simultaneous modifications of their sheep stock sizes in production. Their conclusions suggest that effects of years and farm sizes in the sheep and goat sector have considerably modified the aid sums paid under different titles.

JEL Classification: H5, Q14

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39
Factors influencing the gross value added in the sheep production chain
Published December 31, 2012
141-146

The competitiveness of the sheep sector in East Europe has been decreasing from year to year. The value added in the sector is not generated in the countries as a high proportion of the lambs are exported. For example, in Hungary, 95% of the lambs, unnecessary for replacement, are sold at an average weight of 21 kg and are slaughtered abroad. A... stochastic model was constructed to investigate the connections between the cycle phases of the mutton production. Three modules were distinguished, the lamb production, fattening and slaughtering-processing sub-modules. The aim of our study was to identify the gross value added generated in the three sub-modules and to analyse the main factors influencing its volume using the conditions in Hungary as an example. The major hypothesis of our research was that the profitability of the production chain is mainly determined by the breed. The results showed that, considering market prices, the gross value added in the processing module was mostly influenced by the number of lambs sold per ewe per year at the bottom level of the mutton product chain. The next most important factors were the weight gain in the lamb producing and fattening sub-modules and dressing percentage in slaughtering-processing sub-module. Contour plots were constructed which help to describe the relationship among analyzed factors. Using the contour plots, the gross value added for different combinations of these factors might be forecast.

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