The sheep sector is regarded to be a “black sheep” in Hungary, both in terms of economy and marketing. On one hand, the sector is not easily traceable as available relevant data are partial and infected by the effects of black market or underground economy; on the other hand, there are no clear, concrete statistical data or surveys on consu...mption either.
The present study attempts to dissolve the above anomalies and present findings by fact-based model calculations and actual marketing surveys. The fact-based model developed and used for more than 200 variables verifies the correctness of economic calculations. Original examinations were performed by Béla Cehla, doctoral candidate, in 2000–2011. The marketing survey, although not in full accordance with statistical requirements, was carried out in 2012 and it processed relevant data authentically.
The main conclusions are the following: It is clear so far that genetic basis should primarily be evolved in the industry, as it is the factor that mainly contributes to profitability and price-type factors come only following it. Genetic modification is achievable by changing breeds or crossbreeding. The findings of product chain level sensitivity analysis have provided clues that the added value generated in the sector is already determined during slaughter lamb production and progeny influences this value in approximately 80%. Critical points are feed conversion ratio and the relating price of lamb feed, which influence added values by 2.7–2.9%. The remaining factors affect added value through feeding costs, although not considerably.
The following activities can boost interest in the market of sheep products:
• Comprehensive market research
• Stimulation of cultural development by product-tasting, exchanging information and recipes
• Development of supply in accordance with demand
• Identification of target markets, positioning products
• Diversification of product range
• Community trade mark to guarantee excellent quality and Hungarian origin
• Selection of credible poster faces, organization of advertising campaigns
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
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.