Search
Search Results
-
What differentiates the entrepreneurs from non-entrepreneurs on nature and nurture?
45-52Views:607Based on the importance and contribution of entrepreneurship in economic development, it is vital to know that what underlying factors may promote the spirit of entrepreneurship? The entrepreneurship literature suggests two kinds of broader influencers or predictors for entrepreneurs and non-entrepreneurs “nature” and “nurture”. In this study “nature” includes the psychological or personality related factors; self-confidence, locus of control, risk-taking propensity and trust levels. The “nurture” is explained by the effects from society in general and friends and family in particular. To answer the question “What differentiates the entrepreneurs from non-entrepreneurs on nature and nurture?” we collected data through questionnaire from 155 respondents. The 70 respondents were entrepreneurs and 85 were non-entrepreneurs. Step-wise discriminant analysis was used to determine the discriminating factors for entrepreneurs from non-entrepreneurs. Results indicate that societal impacts, risk taking propensity and trust levels were significantly discriminating the two groups; entrepreneurs and non-entrepreneurs. The study has important implications for policy makers, academicians, researchers and potential entrepreneurs.
JEL Code: L26, M13
-
New sources of employment to promote the wealth-generating capacity of rural communities
15-21Views:165New 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, France, 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.
-
Potential impact of the European Green Agreement on EU and Hungarian crop production
Views:239European arable farming, including Hungarian arable farming, faces a huge dilemma: how to contribute to and maintain the global food supply while reducing greenhouse gas emissions while main taining biodiversity, but reducing inputs that are potentially damaging to society and the environment while ensuring that no more land is taken out of production? Not to mention that the increasingly urgent need to tackle climate change is also placing additional demands on EU agricultural decision-makers. Under the European Green Deal (GD), the 'From Farm to Fork' (F2F) strategy will help achieve climate neutrality by 2050, with a target of a 55% reduction in greenhouse gas emissions by 2030. Achieving this will require significant changes in food production, a shift in crop health strategies and accelerated innovation in the agricultural sector. The study addresses these issues. Our first hypothesis (A1) is that the GD and F2F strategies can be implemented without problems and without losses. Our second assumption (A2) is that the know-how solutions and the technological conditions for precision agriculture that are already available exist, and that all of these already justify the feasibility of A1. In order to prove this, we have reviewed recent and up-to-date literature on DG and F2F. For A1, we found that there are pro and con findings in the literature. However, the summary finding is not positive. The conclusion of the studies, based on data calculations, is that EU agriculture faces huge additional costs if it is to maintain production and reduce environmental pressures. Their calculations suggest that more people will be disadvantaged by the decisions, and that millions of euros could be lost to the public. However, the article also shows that there are many cases where positive results can be achieved even with reduced chemical use. Facts and figures from international and Hungarian technological and know-how solutions and their trials at plant level show that the DG's objectives are already partially achievable. It has been established that the systematic use of precision technologies allows to increase the natural and at the same time the economic efficiency. In our work we have used the results of primary and recent secondary research. We have shown the downsides of GD, but also that with targeted support, the objectives of sustainability and GD can be approached. Changes in 2022, drastic price increases for inputs including fertilizers and pesticides, inflation at a 20-year high, energy prices spiraling out of control, and an almost unprecedented drought affecting crop production and horticulture, point to the need for a radical change in technology, thinking and regulation. And all this to ensure that there is enough affordable food in Hungary, that there are export products within and outside the Community, and that those working in agriculture have a decent living.
-
Defining the strategic objectives of Hungarian mutton product chain and elements of marketing strategy in the beginning of the second decade of the century
119-132Views:238The 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 consumption 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 -
Factors influencing the gross value added in the sheep production chain
141-146Views:222The 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.
-
Exploitation of relations among the players of the mutton product cycle
129-134Views:180The continuous weakening of Hungarian sheep sector and its low effectiveness in terms of value added have posed crucial problems in recent years.The focal problem has been partially caused by economic and market problems.Among these issues, mostly the poor mutton supply chain gives rise to difficulties; therefore the present study seeks to reveal the factors/input variables which predominantly influence the generation of value added. We have constructed a model for the mutton product cycle to represent the relations of phases but mutton trade is not included.The most significant aim of our investigation was to identify the volume of value added generated during processing in various phases of the product cycle and the change of which inputs affected this volume. The received findings suggested that in case of capital uniformity the output of processing was mostly influenced by sheep progeny on the bottom level of the mutton product cycle.
Keywords
