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New approaches to youth in thrill society: sport participation as fuel to boost outlook on future and concepts on self
97-104Views:143The theory of “thrill-society” (Schulze 1992) conceptualizes that increased economic status that allows the focus of daily life to switch from providing for physical needs to searching for a meaningful life and self-fulfilment. Combined with the expansion of education, it causes a smooth transition from traditionally inherited social positions and class-based hierarchy in society to a higher degree of social mobility, increased individualisation and diversification of life styles. Noting that, the actualization of this concept in Hungarian society came into effect only along societal discrepancies; still, the uncertainties and insecurities that accompany the process of ‘thrill projects’ collection are substantial. The purpose of this study was to examine the role of sport participation in the lives of young people, how sport may assist young people in coping with the insecurities and uncertainties created in the societal scene that is characterised by the combination of Schulze’s “thrill-society” and the inheritance of political, economic and societal transition of Hungary. Specifically, this study aims to find differences between sport participants and non-participants in their perception of future on micro and macro level, their readiness to take risks and challenges, and their self-concept related to their own health, physical condition, and physical appearance. Stratified random sampling was applied to obtain an accurate representation of Hungarian youth population. Data were analysed by using cross tabulation, non-parametric and multidimensional statistical methods. The results showed that sport participants adopted a more positive image of the future, higher ability to assume risks and a more modern state of mind, as well as a more stable self-concept in comparison to non-participant youth. Also, it seems that the sporting contest may be as strong as sociodemographic positioning in the formulation of these life capabilities. It can be suggested that sport may assist youth with a stable and accountable value environment that reduces the variety of opportunities and provides resources to better deal with societal uncertainties; meanwhile it opens new avenues of personal freedom even in a “thrill society” that filled with deficits in transitioning societies.
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Climate change impact on crop production in Central Asian Countries
75-82Views:210Increased risk due to global warming has already become embedded in agricultural decision making in Central Asia and uncertainties are projected to increase even further. Agro-ecology and economies of Central Asia are heterogeneous and very little is known about the impact of climate change at the subnational levels. The bio-economic farm model is used for ex-ante assessment of climate change impacts at sub-national levels in Central Asia. The bio-economic farm model is calibrated to ten farming systems in Central Asia based on the household survey and crop growth experiment data. The production uncertainties and the adaptation options of agricultural producers to changing environments are considered paramount in the simulations. Very large differences in climate change impacts across the studied farming systems are found. The positive income gains in large-scale commercial farms in the northern regions of Kazakhstan and negative impact in small-scale farms in arid zones of Tajikistan are likely to happen. Producers in Kyrgyzstan may expect higher revenues but also higher income volatilities in the future. Agricultural producers in Uzbekistan may benefit in the near future but may lose their income in the distant future. The negative impacts could be further aggravated in arid zones of Central Asia if irrigation water availability decline due to climate change and water demand increase in upstream regions. The scenario simulations show that market liberalization and improved commodity exchange between the countries have very good potential to cope with the negative consequences of climate change.
JEL classification: Q11, Q18
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More insurance subsidies for European farmers – is it needed?
33-38Views:150In addition to traditional sources of uncertainties, such as market price volatility and animal and plant health-related risks, the impacts of climate change have recently become a major concern in the agricultural sector throughout the world. Insurance has been commonly proposed as a key instrument in farm risk management, and agricultural insurance schemes have become more widespread both in developed and developing countries. We conducted a case study in the UK to investigate farmers’ risk perception and willingness to pay for crop insurance by using contingent valuation method (CVM). Similarly to the experience from developing countries, we found that farmers are less willing to pay for insurance, however they do take actions to reduce their risks. While these results suggest that the provision of premium subsidies to European farmers can be justified; in order to avoid counter-productive policy outcomes, one may consider the introduction of a risk-based approach in agricultural risk management.
JEL classification: Q14
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Examination of pig farm technology by computer simulation
25-29Views:162Agricultural production is among the riskiest production activities. Similarly to other branches of agriculture in animal breeding the finished product is the result of complex procedures. The biological technological procedure, the creation of the product is affected by an outstanding number of environmental factors which also cause uncertainties. In the North Great Plain Region of Hungary, sows, gilts and slaughter pigs are produced on a corporate farm. The reliable operation data of this company provide a stable basis for and estimating future costs and revenue and their distributions. Monte Carlo methods are one of the generally accepted tools for modeling risks. The significant independent variables, their ranges and probability distributions, and the correlation between them were inputs to the model. The values of the variables were produced using a random number generator. The computer simulation was performed using @Ris (PalisadeCorporation) software. The study concentrates on the factors affecting the number of off spring (piglets). Model inputs were the mating, mortality and farrowing rates; the costs and the income values based on these rates have been analysed as the output data of the model.
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