New Sources of Employment to Promote the Wealth-Generating Capacity of Rural Communities (acronym: RuralJobs) is a collaborative research project partly funded under the European Commission Research and Development 7th Framework Program. The Rural Jobs consortium consists of partners drawn from eight European Union (EU) countries (Bulgaria, Fra...nce, Hungary, Italy, Lithuania, Romania, Spain and UK). The project began on February 2008 and finished in October 2010. RuralJobs quantified labour market, demographic and economic trends, and the impact of employment creation measures and policies in seven, representative “reference areas” across the EU, and used the information to demonstrate how rural development measures can be better targeted and how rural development policies should evolve.We identified labour market, demographic and economic trends in rural areas across EU-27 and the potential for new sources of employment outside traditional primary and secondary sector activities, and examined the interaction between different types of rural area (peri-urban, remote, high environmental/amenity value etc.). We identified employment growth areas where rural development programmes can be targeted to increase their contribution to employment creation. Our strategic objectives were the following: review of employment policies and programmes, scenarios for new sources of employment according to rural typologies, recommendations for better targeting of strategies, dissemination and mainstreaming. The main outcome expected is that the results will allow a better targeting of rural development measures and future evolution of rural development policies in line with the Lisbon Strategy.
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
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.