A nemzetgazdasági versenyképesség sportszakmai és gazdasági aspektusai = Sport and economic aspects of competitiveness on national level

Tanulmányunk a gazdasági versenyképességgel, kiemelten annak nemzetgazdasági szintű vetületével és a sport esetében történő értelmezésével foglakozik. A gazdasági versenyképesség esetén kiemelten kezeljük az IMD és a WEF versenyképességi rangsorait, a sport esetén pedig szétválasztjuk a hivatásos és a szabadidősportot. A hivatásos sport esetén bemutatjuk a sportszakmai versenyképességet indikáló és a sportszakmai versenyképességre hatással lévő gazdasági és társadalmi mutatókat egyaránt. Összehasonlítási csoportot képeztünk, amelyben Magyarország és a környező országok szerepelnek és a komparatív elemzés kiterjed a gazdasági és a sportszakmai versenyképességre, valamint a sportszakmai versenyképességre ható gazdasági és társadalmi tényezőkre egyaránt. A sportszakmai versenyképességet az olimpiai érmek számával és azok pontértékével mérjük, amit az olimpiák teljes történelmére és az elmúlt 20 év különböző szakaszaira egyaránt vizsgálunk, míg a gazdasági és társadalmi tényezőket csak a mondanivalónk szempontjából legrelevánsabb évekre, az új évezredre vizsgálunk. A hivatásos sporttal kapcsolatos versenyképességi kérdésekből azt a következtetést vontuk le, hogy Magyarország történelmi sportszakmai eredményességének fenntartását a jelen gazdasági és társadalmi tényezők nem igazolják, sőt az elmúlt időszak visszaesését támasztják alá és a Londoni olimpián való szereplésünkkel kapcsolatban inkább az összehasonlítási csoporton belüli további visszacsúszást, mintsem az eredmény javulását támogatják. A tanulmányban azt állítjuk, hogy egyéni, vállalati és makrogazdasági versenyképességet is javíthat a szabadidősport. Mikro szinten, majd makrogazdasági szinten elemeztük a szabadidősport hatásait, valamint próbáltunk választ keresni arra a kérdésre, hogy hogyan válhat az egyén, a vállalat és végső célként a gazdaság versenyképesebbé a fizikai aktivitás által. A kevesebb betegség és egészségügyi kiadás, vagy éppen a kedvezőbb várható élettartami mutatók mellett termelékenység-növekedés, a versenyképességi rangsorokban pedig előkelőbb helyezések érhetők el. ______ Our paper tackles the concept of competitiveness in the national level and interprets it also in the field of sport as well. In the economics field we focus on the competitiveness rankings of IMD and WEF and in the sport field we differentiate between professional and leisure sport. In the case of professional sport we introduce the measures of sport competitiveness and its influencing economic and social factors as well. We have made a peer group which contains Hungary and its neighboring countries and the comparative study tackles the sport competitiveness and the influencing economic and social factors as well. We measure sport competitiveness with the Olympic medal count and the medals point value, which is counted in the whole Olympic history, and different phases of the last 20 years. The economic and social factors are compared only in the new millennia as this is the most relevant time frame of this study. From the competitiveness analysis of professional sport we concluded that the maintenance of Hungary’s historical sport successes is not proved by nowadays economic and social factors, however they support the past years decline. These factors also indicate that in London (2012)we would rather slip one more position back in the peer group, than rise again from our ashes. In our opinion leisure sport could enhance the competitiveness of individuals, companies, and economy also. We analysed the effects of leisure sport on the microeconomic and macroeconomic level, and tried to find answer to that question how could be individuals, companies, and economy more competitive through leisure sport. Besides less illness and health care expenditures, longer life expectancy, productivity growth, countries could be well placed in competitiveness’ rankings.

Trends in research on the possible effects of climate change concerning aquatic ecosystems with special emphasis on the modelling approach

Knowledge on the expected effects of climate change on aquatic ecosystems is defined by three ways. On the one hand, long-term observation in the field serves as a basis for the possible changes; on the other hand, the experimental approach may bring valuable pieces of information to the research field. The expected effects of climate change cannot be studied by empirical approach; rather mathematical models are useful tools for this purpose. Within this study, the main findings of field observations and their implications for future were summarized; moreover, the modelling approaches were discussed in a more detailed way. Some models try to describe the variation of physical parameters in a given aquatic habitat, thus our knowledge on their biota is confined to the findings based on our present observations. Others are destined for answering special issues related to the given water body. Complex ecosystem models are the keys of our better understanding of the possible effects of climate change. Basically, these models were not created for testing the influence of global warming, rather focused on the description of a complex system (e. g. a lake) involving environmental variables, nutrients. However, such models are capable of studying climatic changes as well by taking into consideration a large set of environmental variables. Mostly, the outputs are consistent with the assumptions based on the findings in the field. Since synthetized models are rather difficult to handle and require quite large series of data, the authors proposed a more simple modelling approach, which is capable of examining the effects of global warming. This approach includes weather dependent simulation modelling of the seasonal dynamics of aquatic organisms within a simplified framework.

Comparative analysis of the relationship between phenological phenomena and meteorological indicators based on insect and plant monitoring

Climate change is one of the biggest environmental problems of the 21st century. The most sensitive indicators of the effects of the climatic changes are phenological processes of the biota. The effects of climate change which were observed the earliest are the remarkable changes in the phenology (i.e. the timing of the phenophases) of the plants and animals, which have been systematically monitored later. In our research we searched for the answer: which meteorological factors show the strongest statistical relationships with phenological phenomena based on some chosen plant and insect species (in case of which large phenological databases are available). Our study was based on two large databases: one of them is the Lepidoptera database of the Hungarian Plant Protection and Forestry Light Trap Network, the other one is the Geophytes Phenology Database of the Botanical Garden of Eötvös Loránd University. In the case of butterflies, statistically defined phenological dates were determined based on the daily collection data, while in the case of plants, observation data on blooming were available. The same meteorological indicators were applied for both groups in our study. On the basis of the data series, analyses of correlation were carried out and a new indicator, the so-called G index was introduced, summing up the number of correlations which were found to be significant on the different levels of significance. In our present study we compare the significant meteorological factors and analyse the differences based on the correlation data on plants and butterflies. Data on butterflies are much more varied regarding the effectiveness of the meteorological factors.